Session Id Session TitDescriptio Day Start Time End Time Location Session Ty Audience LIndustryData and Analytics St 10/21/20109:00 AM 12:00 PM Special EventsSunday Breakfast 10/22/20107:30 AM 08:45 AM Arena PlazMeals

0231 Sun. Maste 10/22/20109:00 AM 12:00 PM ACC North Breakout SIntermediaHorizontal Sunday AM Break 10/22/20110:30 AM 11:00 AM MealsSunday Lunch 10/22/20112:00 PM 01:30 PM ACC South -MealsSunday PM Break 10/22/20102:30 PM 03:00 PM MealsNew Attendee Recept10/22/20104:15 PM 05:30 PM ACC North Special EventsSunday Expo Hall 10/22/20107:00 PM 08:30 PM ACC South -Special Events

0396 Sun. MasteStriking th 10/22/20109:00 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0650 Sun. Maste 10/22/20109:00 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0289 Sun. Maste 10/22/20109:00 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0371 Sun. MasteEmerging te10/22/20109:00 AM 12:00 PM ACC North Breakout SAdvanced Horizontal 0907 Sun. Maste 10/22/20109:00 AM 12:00 PM ACC North Breakout SIntermediaHorizontal 0141 Sun. Master 10/22/20109:00 AM 12:00 PM ACC North Breakout SIntermediaHorizontal 0263 Sun. MasteThe Teradat10/22/20109:00 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0363 2017 AnalytMore impres10/22/20101:30 PM 02:30 PM ACC North Breakout SIntroductoHorizontal 0366 Breaking t BI domain i10/22/20101:30 PM 02:30 PM ACC North Breakout SIntroductoCommunica0500 Conduct CR 10/22/20101:30 PM 02:30 PM ACC North Breakout SIntroductory0667 Emerging Be 10/22/20101:30 PM 02:30 PM ACC North Breakout SIntermediaHorizontal 0518 Improving C 10/22/20101:30 PM 02:30 PM ACC North Breakout SIntermediaOil & Gas0919 MKTP1 DecoMKTP1 deco10/22/20101:30 PM 02:30 PM ACC North Panel Sess IntroductoHorizontal 0266 Querygrid Data consum10/22/20101:30 PM 02:30 PM ACC North Breakout SIntermediaHorizontal

Welcome Reception 10/22/20107:00 PM 08:30 PM ACC South -Special EventsMonday Breakfast 10/23/20107:30 AM 08:45 AM ACC South -MealsMonday General Sess10/23/20109:00 AM 11:00 AM Arena General SessionMonday AM Break 10/23/20111:00 AM 11:30 AM MealsMonday Expo Hall 10/23/20112:00 PM 05:00 PM ACC South -Special EventsMonday Lunch 10/23/20112:15 PM 01:45 PM ACC South -MealsMonday PM Break 10/23/20103:00 PM 03:30 PM Meals

0236 Sports Anal 10/22/20101:30 PM 02:30 PM ACC North Breakout SIntroductoHorizontal 0646 The JourneThe Europea10/22/20101:30 PM 02:30 PM ACC North Breakout SIntroductory, Interm0499 To the Clo Come listen10/22/20101:30 PM 02:30 PM ACC North Panel Sess IntermediaHorizontal 0104 Triple-PlayThis patchw10/22/20101:30 PM 02:30 PM ACC North Breakout SIntroductory, Interm0276 Using AgileCompanies a10/22/20101:30 PM 02:30 PM ACC North Breakout SIntermediaHealthcare0124 Visualize a 10/22/20101:30 PM 02:30 PM ACC North Breakout SIntroductoHorizontal 0364 2017 AnalytLooking for10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductoHorizontal 0603 Achieving OHave you he10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductory, Interm0465 Applying DThis case s10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductoRetail0361 Business O 10/22/20103:00 PM 04:00 PM ACC North Panel Sess IntroductoHorizontal 0362 ConnectingWith data f10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductory, Interm0228 Enabling a 10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductoRetail0692 Finding NeGeneral Mot10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductoAutomotive0150 How Vodafo 10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductoCommunica0108 Machine LeRules based10/22/20103:00 PM 04:00 PM ACC North Breakout SIntermediaHorizontal 0654 Managing dThe on goin10/22/20103:00 PM 04:00 PM ACC North Breakout SIntroductoHealthcare0479 PerspectiveThe AI wint10/22/20103:00 PM 04:00 PM ACC North Panel Sess Introductory, Interme0464 RumpelstiltText analyt10/22/20103:00 PM 04:00 PM ACC North Breakout SIntermediaHorizontal

In this 3 hour session, I will include a wide array of examples demonstrating the power of Teradata's Aster analytics.

Companies across industries are focused on understanding their customers' journeys to improve customer experience and drive revenue. However, most limit their efforts to just mapping customer journeys. The ones that break away from just mapping or understanding customers' journeys to influencing and shaping customer decisions by intervening at the right time, with the right messages, achieve breakthrough results. Join us on Sunday, October 22, 2017 for an interactive session on how to shape customer journeys. In this informative session, learn about key capabilities required to deliver successful customer experiences. Hear real world examples of how industry-leading companies overcame common customer insight challenges to leapfrog competition and achieve strategic business outcomes. See demonstrations of customer journeys in action and meet with our analytic and marketing domain experts to discuss your specific challenges and uncover opportunities.During this 2.5 hour session we will work through an initial set-up of Teradata on AWS. This session will take you from selecting the type of Teradata system you need in the AWS Marketplace through launching your Teradata instance using the CloudFormation template and then connecting to your Teradata instance in AWS.

In this series of tutorial presentations, we hope to draw you through both the internal processes we as the initial Customer for Teradata releases (Teradata Customer Zero) go through to ensure we have a solid release. Due to recent architectural improvements in the integration test infrastructure there are interesting patterns that customers may wish to learn about and adopt as part of their regression testing initiatives. Ultimately the aim of this is to provide Process, Practice and Technology that can Reduce your Upgrade TimesOther topics include how to access data uniformly (using JSON, ORC, Parquet, JDBC) and Hive compatibility. And we'll demo Spark Structured streaming on a real-time data feed. If you have an interest in Apache Spark, this is for you.

3. To seek for sophisticated One to One marketing4. The most important thing is to provide customer experience (CX) to our customers via smartphone App.Many companies are beginning to acquire IoT data and more external data sets for completely new forms of analytics. These large, external and streaming data sets are a source of insights on their own, but companies are quickly realizing the tremendous value in integrating these with their existing operational systems and databases. This has given way to a set of new architecture patterns and data engineering best practices that are being incorporated into cloud and hybrid-cloud strategies. This presentation will explore some of the proven strategies, new technologies and lessons learned from these early pioneers.ConocoPhillips a made a commit to develop a systematic integration of all production and operational data in an environment that put analytic capability at the center and allowed all engineering components to connect to an integrated dataset. Custom analyses can easily be performed to allow engineers the ability to investigate new ideas.This provides the business user with the ability to leverage common data structures, work flows and exploit the full value of data integration.

• Which analytic techniques used in business apply to sports? Where are there gaps? What are interesting research problems in sports analytics?• How can other parts of any university like the business school or stats or computer science departments, collaborate with sports programs to provide analytics for teams? What are good first projects to launch? Can we do "Moneyball " projects with Teradata University Network?

Multi-Genre Analytics is a data science framework that enhances both our understanding of data sources and our ability to create new analyses and insights by combining multiple analytic domains such as Text, Machine Learning, Statistics, or Network Graphs.In this session, we will visualize data sets with different analytic genres to show how each genre reveals new and unique insights. We then validate the Multi-Genre Analytic approach by building better predictive models and getting the most business value out of the data. This demonstration includes practical examples of real-world use cases including churn, adoption, compliance, and fraud detection.

The panel and the audience will interact on best practices in aligning their technology to the business requirements and successfully meeting the corporate initiatives. The panel will share FedEx's strengths and weaknesses encountered along this program's lifecycle in justifying technology investments based upon business value ROI. The panel will solicit input and discussion based on the audience's experiences and insights.

This session will help explain Overstock's methodology towards implementing Data Labs which includes facilitating access to real time data, ensuring appropriate governance around security of data labs and auto expiring them when not required.

Evolving features of the Teradata Active System Management enabled Vodafone Germany to implement a new approach on performance sharing and enables the organisation to take responsibility for their performance share. The presentation gives an overview on the approach and solution but also on the transformation journey itself as well as the learnings until today.

0467 Scope ReduAmerican Ex10/22/20103:00 PM 04:00 PM ACC North Breakout SAdvanced Horizontal 0674 Teradata R 10/22/20103:00 PM 04:00 PM ACC North Breakout SAdvanced Horizontal 0211 Under the Customers h10/22/20103:00 PM 04:00 PM ACC North Breakout SIntermediaHorizontal 0428 Whole FoodIn Sept, 2010/22/20103:00 PM 04:00 PM ACC North Breakout SIntermediaHorizontal 0189 A Journey iIn this tal 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductory, Interme0628 Aster Futur 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntermediaHorizontal 0553 Chatbots: B 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntermediate, Advanc0637 Data Flow Hortonworks10/23/20111:30 AM 12:15 PM ACC North Breakout SIntermediaFinancial S0600 EmpoweringTeradata ha10/23/20111:30 AM 12:15 PM ACC North Breakout SIntermediaHorizontal 0123 Enabling th 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductory, Interm0377 Fighting Fi 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntermediaFinancial S0699 HBC & Lobla 10/23/20111:30 AM 12:15 PM ACC North Panel Sess Introductory, Interm0314 How Coke isBorn in 18810/23/20111:30 AM 12:15 PM ACC North Breakout SIntermediaHorizontal 0131 How Real-T 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductoHorizontal 0531 Just the F Fast, Accur10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductory, Interme0623 Knime WorkWith the ad10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductoHorizontal 0426 Merck ImprClinical re 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductory0075 Next Gener 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductory, Interm0432 Six Habitu Is your arc 10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductory, Interme0199 These Are As the buzz10/23/20111:30 AM 12:15 PM ACC North Breakout SIntroductoFinancial S0624 AcceleratinVirtually a 10/23/20102:00 PM 03:00 PM ACC North Breakout SIntermediaHorizontal 0318 Artificial Artificial 10/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductoHorizontal 0434 Going Clou 10/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductoCommunica0905 HarnessingThe prolife10/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductory, Intermediate, Advanced0449 Head in th As enterpri10/23/20102:00 PM 03:00 PM ACC North Breakout SIntermediate0384 How a BI PLes McKeown10/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductory0496 How Rakuten 10/23/20102:00 PM 03:00 PM ACC North Breakout SIntermediaHorizontal 0373 How your o 10/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductory, Interm0502 Implementat 10/23/20102:00 PM 03:00 PM ACC North Breakout SAdvanced Financial S0297 Industry 4. 10/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductoOil & Gas0583 New Analyt.Teradata's10/23/20102:00 PM 02:45 PM InnovationBreakout SIntermediaHorizontal 0347 POODLEs, GAll complex10/23/20102:00 PM 03:00 PM ACC North Breakout SIntermediate0700 Re-EngineerBefore 201410/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductory, Interm0563 Sentient En 10/23/20102:00 PM 03:00 PM ACC North Breakout SIntroductoHorizontal 0291 Turning noiWhen you on10/23/20102:00 PM 03:00 PM ACC North Breakout SIntermediaDigital Me0336 US Air ForcAs Presiden10/23/20102:00 PM 03:00 PM ACC North Breakout SIntermediaGovernmen0267 "Big” Data Micron Tec10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductory, Interme0444 "Optimizing 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductoManufactur0694 Analytics o 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductoHorizontal 0573 Behind theThe core ar10/23/20103:30 PM 04:15 PM InnovationBreakout SIntroductoHorizontal

Tuesday Breakfast 10/24/20107:30 AM 08:45 AM ACC South -MealsTuesday Break 10/24/20109:45 AM 10:15 AM MealsExpo Hall Open 10/24/20110:00 AM 05:00 PM ACC South -Special Events

0414 Cloud TCO: Everyone kn10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductory, Interme0622 Data Scien 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntermediaFinancial S0222 DGT’s UDA 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntermediaGovernmen0668 Enabling Bu 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntermediaCommunica0290 How the IntWith more a10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductoHorizontal

The Teradata database supports the Representational State Transfer (ReST or RESTful) API. The Teradata RESTful web services interface was developed by the Teradata labs. The stateless nature of the API (HTTP like requests) requires less bandwidth and makes it more suitable for Internet usage and cloud applications. Using JavaScript Object Notation (JSON) RESTful API facilitate uploading and retrieving metadata and small amounts of data directly to/from the Teradata database. Apps developed using REST eliminate the need for client side software maintenance.In this talk we will provide an overview of the ReST architecture. We will present the implementation of an application that utilizes the four basic database persistence functions: Create, Read, Update, and Delete using the Python programming language. For completeness we will list the software packages and outline the minor configurations required in order to enable this powerful feature available on the Teradata database.

The presentation will explore potential future infrastructure to integrate capabilities such as GPUs, machine learning, and model management. Last, the presentation will present a proposed architecture to unify multiple data engines with the specific purpose of providing advanced analytics.We will show various examples and demos highlighting the type of chatbot which works bests for a given business scenario and its goal. We will share a list of concrete steps to help you get started with chatbot technology enabling you to take advantage of this new way of doing business.

The session also gives a glimpse of what will be available in the next few months.We discuss our experience in a multi-step program. We have first productionized an ensemble machine learning technique (boosted decision trees), while in parallel developing deep learning models with Tensor Flow as a "challenger" to test. The system was first tested in shadow production and then in full production in a champion-challenger setup against live transactions.- Performance considerations and thought process for report and dashboard design- Critical capabilities needed to deploy enterprise analytics and feature demos

• How the business was able to react quickly and make critical decisions based on access to real-time information You will leave this session with insights on how you can leverage Teradata and real-time data integration software provider, HVR, to improve operational efficiency. Get an inside look into how a combination of these data management tools will lead your business to faster decision making and ultimately become a modern data-driven enterprise with improved results.

• Learn how to exploit cloud platforms with the optimal mix of on-premise and off-premise deployment.• Learn how open source technologies like Kylo and TensorFlow can be used to enhance your analytic ecosystem in data reservoir

Succeeding in the cloud is not a simple matter of switching to cloud-based infrastructure to analyze cloud-based data. This session explores how to take advantage of cloud flexibility to span silos, support important new analyses and surpass old barriers. We'll share examples of how Teradata customers are taking advantage of cloud. We'll also explore how the cloud open up opportunities for data-enrichment, personalization and insight services, and how these innovations can drive value and power new business models.

We also share topics of AppCenter source management and latest use cases of our App in our business. Examples of how our App actually plays a part of data analysis cycle will give the audience an idea of how to utilize Teradata Aster.While the belief is that CBM allows for better operations by improving efficiencies in production, maintenance and resources, how do you get there from here? As with the idiom "the devil is in the details", with CBM, the details are in the data. This session takes a deep dive into CBM and shares some real-world insights from two CBM studies performed with the US Navy.Significant shift of Product Control Model with book runners moving up the value chain (lower processing and higher decision support) Centralisation of accounting rule maintenance leading to efficient and controlled accounting information Fully integrated adjustment handler with approval workflow process to GL.Teradata works with companies to achieve high impact business outcomes through analytics by harnessing the potential of data from a variety of sources (sensors, ERP etc.) at a granular detail level to gain insights on how to improve costs, work processes, yield or quality. Western Refining will discuss their approach, experience and results from combining sensor, Historian, ERP and other types of information enabling their journey to the smart factory.

Sentience is a new approach to agile decision-making. Automated and agile decision-making is at the core of the Sentient Enterprise vision. It is more than technology. It is a capability vision that hinges on people, processes, and culture to help you do more with less – faster.Teradata's bold vision of the future will change the way that every single person in every business globally will make decisions – small, tactical decisions and big, strategic decisions. It is about the path that technology, like machine learning and scalable open-source and proprietary technologies, will take in helping all of us become more productive at our jobs and collectively make better decisions for our businesses. Learn new developments and real world examples of organizations that are adopting this vision.

Tetra Pak is the world's leading food processing and packaging solutions company working closely with customers and suppliers to provide safe food. Tetra Pak recently started a Digital Transformational Program covering Supply Chain, Production Development, Service Development and Administration. Daniel Sandberg is managing a Performance Center for building up advanced data analytics capability, executing data analytics and coordinating analytical work in a small Data Scientists team. The goal is to connect domain knowledge and data analytics through machine learning to increase performance and create business value.Too much of anything can be overwhelming. Data can now be collected through sensors at a dime a dozen. But interpreting that data and making it actionable is where all the magic is. Sensor data needs to be qualified in different categories such as value ranges, accuracy, data formats, behaviors and limits by leveraging advanced analytics so that an appropriate action can be performed based on the data. Companies to take charge of Analytics of things and tame the big data generated by sensors need tools, technology, process and deep understanding of advanced analytic capabilities. Sensor Data Qualification brings all these together as an easy way of self service and creating workflows, dashboard, validations, parameter ranges, actions in a web UI based solution. This session will cover a demonstration of a sensor based Analytics solution where problem tracking, defining limits, actions performed will all be under the fingertips of the user.

The Operationalization journey will continue with the deployment of a Model Management Framework to automatize and monitor the models operationalization, validation, scoring and performance.2. How advanced analytics capabilities helped DGT officers to identify fraud behavior?3. How did DGT officer discover a potential of tax fraud USD1.6 billion of in a short period of four weeks?• Allow Business to own solution and IT only owns exceptions or new complex tasks This session will display the road map from an IT driven Reference Data to Business Self Service

0547 In touch w 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductory, Interme0649 Machine Le 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductoHorizontal 0471 Making Dat 10/23/20103:30 PM 04:30 PM ACC North Breakout SAdvanced Horizontal 0374 On Premise 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductoHorizontal 0920 Science ProAnalytics s 10/23/20103:30 PM 04:30 PM ACC North Breakout Session0400 Teradata T 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductoHorizontal 0521 The Teradat 10/23/20103:30 PM 04:30 PM ACC North Breakout SIntroductoHorizontal 0514 1st Intelli 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoDigital Me0440 20 Years o 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoFinancial S0388 Artificial The scifi n 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoHorizontal 0525 Boeing EnteBoeing is u10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoManufactur0118 Building a A use case 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoCommunica0203 Delivering 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoHorizontal 0711 Digital Tra 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntermediate0643 Employing In this tal 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoFinancial S0678 Enabling PeBy 2018, fi 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoHorizontal 0193 Increase prWith the am10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoCommunica0337 Is there a A successfu10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoRetail0390 Larry H Mi Larry H Mil10/24/20109:00 AM 09:45 AM ACC North Panel Sess Introductory, Interm0105 Losing ConTeradata wo10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoHorizontal 0538 MPP and CloA defining 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntermediaHorizontal 0172 Teradata 16We give an 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoHorizontal 0279 The EDW ec 10/24/20109:00 AM 09:45 AM ACC North Breakout SIntroductoGovernmen0120 Avoiding Pi 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductoHorizontal 0474 Building Bi 10/24/20110:15 AM 11:00 AM ACC North Breakout SAdvanced0221 Delivering 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntermediaFinancial S0066 Evolution to Next Gen10/24/20110:15 AM 11:00 AM ACC North Breakout Session0546 Finding AnsThis presen10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductoHealthcare0632 How am I d 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductoHorizontal 0151 How DigitaAs brands f10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductoHorizontal 0167 How to impl 10/24/20110:15 AM 11:00 AM ACC North Breakout SAdvanced Manufactur0458 Managing PrO2 CZ has m10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductory, Interm0701 Mapping EnThe clock o10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductory, Interm0576 Next GenerThe data an10/24/20110:15 AM 11:00 AM InnovationBreakout SIntroductoHorizontal 0136 Opioid Addi 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductory, Interm0354 PayPal’s Qu 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductoFinancial S0173 Teradata 16We give an 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductoHorizontal 0298 The BusinesThe Industr10/24/20110:15 AM 11:00 AM ACC North Breakout SIntroductoHorizontal 0670 The New Te 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntermediaHorizontal 0448 Whole Food 10/24/20110:15 AM 11:00 AM ACC North Breakout SIntermediaRetail

Beds, Blan A child ent10/24/20111:00 AM 03:00 PM Special EventsTuesday AM Break 10/24/20111:00 AM 11:30 AM Meals

0489 A Sharable 10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductoAutomotive0490 Adaptive QIncremental10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductoHorizontal 0606 Big Data WEnterprise 10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductoHorizontal 0206 Customer De 10/24/20111:30 AM 12:15 PM ACC North Panel Sess IntroductoHorizontal 0103 Don’t SweaEver try se10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductoHorizontal 0677 Enabling A 10/24/20111:30 AM 12:15 PM ACC North Breakout SIntermediaFinancial S

During this session we will walk you through our journey including how global account structure looks like, how daily operations work, how DevOps team is established and how all that enables global marketing activities to delight our consumers.In addition, modern algorithms are powered by massive parallel processing, and advanced numerical optimization. We will cover enhancements to our predictive algorithms to tackle large datasets with millions of rows and thousands of columns afflicted by inherent ill-conditions.Senior level solution architects, technical directors, DBA's, Data Architects, Data Scientists, Data Modelers and anyone responsible for Data Security Governance, Data Privacy or Regulatory compliance. This simple elegant approach is achieved by leveraging Data Security Gateway (DSG) technology to protect sensitive or regulated data and De-Identify or Anonymize data sets without impacting open access to the data for advanced analytics and monetization of data and simultaneously eliminating the risk of data breach or unauthorized access to data.A new prioritized requirement (implementable in one working day) must be available for customer testing within 24 hours." - This is one of the vision statements for RBI´s Continuous Delivery Platform.We will share the concepts, approaches and challenges to achieve a near zero effort shipping environment for new Data Warehouse product version. With introducing Test Automation we have immediate feedback on software quality and we see increasing software quality by applying a defined Product Dependency Management. An important perspective in this context considers challenges in the area of environment provisioning and environment management, where a combination of „Cloud" and "On premise" infrastructure components can help to facilitate different demands.

Please welcome Time Series Tables to Teradata.Times Series table is a new table type designed for storing and analyzing time series data, like sensor/IOT data. In this session I will explain the concept for storing the data, discuss physical design considerations, and show examples for queries performing aggregation functions.Come learn about IntelliFlex and all that is new.MercadoLibre, Inc., hosts online commerce platforms in 13 countries over Latin America. It's the N°1 e-commerce in LatAm and N° 8th in the world, with more than 5 purchases and 2500 searches per second. Their core business is an automated online e-commerce service for businesses and individuals to list items and conduct their sales and purchases online in a fixed-price or auction-based format. It´s a technology company, with a large number of users accessing data loaded real-time and generating their own insights. Flexibility and agility to manage the elastic demand for intraday processing is fundamental to support their needs.We´ll share our experience as the 1st IntelliCloud customer in the world, who migrated from an On premise platform to the Teradata Cloud. We´ll talk about the benefits, difficulties, leassons learned, current architecture, perception of our users and how this integrates with the rest of the Analytical environment:Presto,Hadoop,Tableau,Microstrategy,SAS,PentahoThis talk will explore some of the reasons why previous efforts have fallen short of success and what might be done to move towards the ball forward. Though focused on banks within the US, many of the key points will apply universally.

This presentation will teach the methodology used to determine which internal and external data sources should be integrated into the Teradata environment. We will explain the consultative process of working with business leaders to identify improvement opportunities and how best to leverage available data. Learn how best to calculate supply chain cycle time. Learn the benefits of the project and some of the analytic plans currently underway to capitalize on the new data. Join GE Aviation Digital's Andrew Coleman, Chief Commercial Officer, and Jon Dunsdon, Chief Technology Officer, as they share how strategic partners like Teradata are collaborating to drive the digital transformation of the Aviation Industry, focusing on the Industrial Internet of Things.

The outcome is the right data is in the right place for the right workload, cost, availability and accessibility to end users.This presentation will also show how to identify use cases and applications that are good candidates for migration into the Cloud. We will discuss how to "rethink" your data warehouse and analytic environment for a successful cloud implementation.Statistical language R together with Teradata Aster R integration offer ideal environment to build and deploy analytical pipelines to utilize full capabilities, performance and scale on Aster analytical platform.This technically focussed session takes a look at Westpac's journey to an Active-Passive DR solution compromising of Unity Director, Unity Ecosystem Manager and Unity Data Mover and how the use of mini-batch, triggering mechanisms and dynamic object replication enabled Westpac's data warehouse team to deliver to the businesses continuity requirements.

Does your Teradata system have a complex, heterogeneous workload with competing priorities? Do you need to be able to quickly identify which applications are responding within acceptable parameters and which are over consuming precious resources? Do you want to learn what key metrics to review and track over time to determine how your TASM rules set is performing. Do you need the right KPIs to evaluate changes made to your workload management rules? Are you overwhelmed by sheer volume of monitoring data available and want to know which columns to focus on in DBQL and ResUsage? This session will identify best practices for logging data as well provide hints and tricks to best monitor your Teradata system

Internet of Things is becoming widely discussed not only in the case of sensor data but at the same time the requirements are demanding more scientific analytics at scale - we need to look to several ways how this should be architected. This session will present several examples how Teradata and customers have implemented IoT enabled architecture, to support all of the requirements from real time ingestion and communication with Edge systems to analytics at scale. We will also include how we can train and deploy analytical models back to end user or device.

Learn about the latest data science technologies and obtain a high level understanding of building possible solutions for this very complex problem. Become informed about potential data sources that can be combined into patient journeys. We will demo a real world example that builds a complete profile for each patient to enable timely opioid addiction risk identification.• Plans for the futureQG provides capabilities to PayPal users running seamless analysis across various technologies through simple SQL, harnessing the combined power of several analytical engines to answer business questions more efficiently than ever.

> Working with Teradata from multiple programming languages;> Building and running applications in AppCenter.We will discuss the planned move, it's successful outcome, some performance gains and a few lessons learned. Additionally, we'll present the new directions this move has allowed us to embark upon. These wholistic changes are enabling enhanced analytical capabilities, and setting the path for moving additional systems to the cloud, fulfilling our C level mandate.

Smart cities are systems of systems. Their capacity for intelligence originates in capturing connectedness to anticipate and respond. To prove this, Ohio State University (OSU), one of the largest universities in the US, and Teradata are priming the first of its kind analytical test bed. We will discuss how this test bed could be used to improve the accuracy of origin and destination (OD) matrices from each bus stop based on OSU's highly-traveled campus transit systems and better estimate the demands/supply balance. This is only the beginning. Phase two of the test bed will evolve to include seemingly unrelated data sources to articulate data opportunities and shared analytics related to parking, roadway speeds, traffic signals, class room usage, weather, and much more. Ultimately, OSU's academic expertise and Teradata's analytics platforms will showcase a reusable and scalable smart city analytical hub to share new insights on connectivity, valuable to smart cities and beyond.

This panel session will surprise, challenge and inspire ideas on customer decisioning. Do not miss this lively conversation with marketing experts who will share various research-tested stories and fascinating insights to help you further deliver successful business outcomes.

In this presentation, we'll take you through TD Bank's approach, architecture, process and technology coming together to enable the vision of Data-as-a-Service (DaaS), Analytics-as-a-Service (AaaS) and Reporting-as-a-Service (RaaS) for TD Bank. We will also share our experience and lessons learned in operationalizing and making it a reality at TD Bank.

0710 From Data tData is pow10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductory, Interm0258 Golden Cus 10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductoFinancial S0128 Have you s 10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductoDigital Me0358 Intelliflex Customer ev10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductoFinancial S0641 Making AstAster is Te 10/24/20111:30 AM 12:15 PM ACC North Breakout SIntermediaHorizontal 0351 Runtime teTemporal is10/24/20111:30 AM 12:15 PM ACC North Breakout SIntermediaManufactur0713 Teradata E 10/24/20111:30 AM 12:15 PM ACC North Breakout SIntermediate0137 Teradata I Choosing In10/24/20111:30 AM 12:15 PM ACC North Breakout SIntroductory, Interm0534 The 3 essenThere are t10/24/20111:30 AM 12:15 PM InnovationBreakout SIntroductoHorizontal

Tuesday Lunch 10/24/20112:15 PM 02:15 PM ACC South -MealsDessert Reception in 10/24/20101:45 PM 03:00 PM ACC South -Special Events

0469 Accounting 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntermediaCommunica0906 Deep LearnTBA 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntermediate0425 DSA: TeradBoeing's mi10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoManufactur0598 Enabling Ag 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoHealthcare0330 Getting outAccording t10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoConsumer 0520 How McCain 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoHorizontal 0372 Leveraging 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoManufactur0272 Overstock 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoRetail0536 Predictive Accurately 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntermediaFinancial S0626 Presto: En 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoFinancial S0609 Scaling Da 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntermediaHealthcare0394 State of th What ingred10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoCommunica0106 Taming Big 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntermediaFinancial S0560 The ConverIncreasingl10/24/20103:00 PM 03:45 PM ACC North Breakout SIntermediaFinancial S0586 The Data LThe purpose10/24/20103:00 PM 03:45 PM InnovationBreakout SIntroductoHorizontal 0327 Vodafone Di 10/24/20103:00 PM 03:45 PM ACC North Breakout SIntermediaCommunica0121 What Is "MBig Data an10/24/20103:00 PM 03:45 PM ACC North Breakout SIntroductoHorizontal

Tuesday PM Break 10/24/20103:45 PM 04:00 PM MealsMeet Ups (sign up requ10/24/20104:00 PM 04:45 PM Special Events

0587 The Agile AIf you want10/24/20104:00 PM 04:45 PM InnovationBreakout SIntroductoHorizontal Wednesday Breakfast10/25/20107:30 AM 08:45 AM ACC South -Meals

0565 Avoid Fait Businesses 10/25/20109:00 AM 10:00 AM ACC North Panel Sess IntroductoHorizontal 0686 Beyond theToday's wor10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoHorizontal 0904 Bridging t While most 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoHorizontal 0544 Can You ReOne of the 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoHorizontal 0385 Enterprise In a data c 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoHorizontal 0493 How did a JIn this ses 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntermediaFinancial S0578 Is Data WorIt is a dec 10/25/20109:00 AM 10:00 AM ACC North Panel Sess IntroductoHorizontal 0180 NBA Team ULarry H Mil10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoMedia & En0610 PolystructuAs a bank, 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoFinancial S0392 Simplifyin 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoFinancial S0580 Teradata AnApache Spar10/25/20109:00 AM 10:00 AM ACC North Breakout SIntermediate, Advanc0338 Teradata ApMany compan10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoHorizontal 0902 The Value As a busine10/25/20109:00 AM 10:00 AM ACC North Breakout Session0487 Using Dash 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoHealthcare0618 Using HybrCreating a 10/25/20109:00 AM 10:00 AM ACC North Breakout SIntroductoHorizontal 0555 Women in DJoin Terada10/25/20109:00 AM 10:00 AM ACC North Panel Sess IntroductoHorizontal

The ability to truly understand the customer, have greater insights in to a customer's life stage - and subsequent product needs - and be able to dynamically change inflight communications strategies at a customer level based on responses, transactions and behaviours identified from a wide variety of integrated traditional and big data sets are all key to delivering on this vision.Learn how eBay Global Customer Experience (GCX) implemented a plan to build a successful data science organization to deliver new business insights. eBay's buyers & sellers use many channels and devices to communicate, browse, and buy creating a data trail from every touch point. Retailers that are unable to connect and analyze this data will miss the opportunity to uncover key behavior patterns and better understand customer experiences. eBay has long been recognized by for capturing value in its data using advanced analytic techniques; however, there are always gaps in technology, tools, and skills as the market evolves quickly.Participants will learn how eBay GCX developed new analytic skills to build a dynamic, flexible, agile, and successful data science/advanced analytics organization. eBay will share their journey and keys to success for transforming their GCX analytics team and partnering with business users to define and deliver high value projects and actionable insights.

• Buy Any Way – our solutions can now be purchased in more accommodating ways with our simplified pricing bundles, subscription-based licenses, and as-a-service options that address the needs of different customer use cases at different price points. • Move Anytime - Teradata Everywhere is "future ready" so customers can take advantage of our portable licensing and application portability to change where they run their Teradata software to meet their requirements.

In O2 CZ, IFRS15 requires new complex merging of various data within EDW supported by numerous trends, statistics and predictive analytics.Beside challenges of the uncharted business process, there are further requirements on EDW (audit policy, data latency, etc.). Successful resolution of those challenges enables Teradata EDW to cross the border of data warehousing and to expand to accounting domain as revenue pre-processing layer.

Such was the challenge faced by the J&J's Global Orthopedics business. From a business viewpoint, it required a patient specific supply chain analytics platform that addressed the areas of Quality, Compliance & Safety KPIs"In response to this critical business need, IT created using and agile analytics enablement approach a Global Analytics platform that drives metric standardization while providing continuous value to the business.

McCain Foods, faced with this very problem, engaged Claraview, Teradata's BI consultancy, to provide rapid availability of data to answer key business questions. In one week, McCain was able to adapt Claraviews's recommendations and implement a simplified agile BI development lifecycle and self-service BI analytics approach for McCain Foods business users worldwide.This presentation provides current context for McCain's IT environment and business challenges, then describes the creation, implementation, and operation of an agile process and self-service BI model that accommodated McCain's needs.The presentation will discuss the TAS 3.0 concept, NXP's business benefits, our implementation experience, and the business challenges of an aggressive merger integration timeline.We describe how Overstock uses the SCRIPT Table Operator to run R/Python analytics on large data sets in their production enterprise data warehouse that are much faster and far more accurate than before

In this session, we share our journey and experience in deploying Presto at production scale on large clusters at PayPal. We will discuss the concepts and architecture of Presto and its significant advantages over Hive. We will also walk through setup and administration details, configurations including the use of Kerberos. Finally, we will share use cases that delighted our Presto users.2. Preventing and correcting data issues before they impacted the business3. Measuring and managing data to a quality standard

Big Data is the new class of economic asset. It is transforming the competitiveness of corporation and it is top of mind among C-levels worldwide. And while the opportunities of big data are clear in areas like logistics, customer service, marketing and sales only few organizations are well positioned to take advantage of it. Join this session to learn how you can harness the power of Analytics and Big Data to unlock new ways to drive efficiency and growth in a slowing global economy. Get the tools and insights of how you can influence and impact your corporate strategy and investments in your company's Big Data initiatives.

For VODAFONE it is critical the effectiveness and efficiency of digital channels for the development of relationships and interactions with its customers. To this end, VODAFONE is developing several initiatives to develop, implement and execute tools and solutions that allow it to improve the experience of its customers in online portals.Among them are the virtual shop, a case of success of Omni-channel strategy in Telco and customer experience that have significantly raised the conversion rates and satisfaction of the final customer in Spain.

In this session, we will discuss details of the benefits, complexities and challenges that were a part of our journey to deliver our large-scale access management process Teradata systems. Our talk will cover the use of Oracle Identity Manager and Persistent REST API stack, which ultimately resulted in automation of what used to require 800+ manual DBA tickets per month!

In this session, we will present how these dashboards were created using rule tables for our architecture standards along with the metadata already captured in WhereScape and Teradata. We will also discuss how the dashboards are used as part of the development process, design review sessions and as tool for the management team to manage technical debt.

Expo 10/25/20110:00 AM 03:00 PM ACC South -Special EventsWednesday Break 10/25/20110:00 AM 10:30 AM Meals

0589 A FrameworkWe hear abo10/25/20110:30 AM 11:15 AM InnovationBreakout SIntermediaHorizontal 0265 Analytics oWith sensor10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoHorizontal 0280 ArchitecturMany compan10/25/20110:30 AM 11:15 AM ACC North Breakout SIntermediaHorizontal 0516 Back Up & R 10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoHorizontal 0255 Big Data-DWith custom10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoFinancial S0200 Building a "We said we10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoHealthcare0332 Building AnThe quality10/25/20110:30 AM 11:15 AM ACC North Breakout SIntermediaHealthcare0594 Business an 10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoFinancial S0463 CVM 4.0 10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoCommunica0235 Data Lab a 10/25/20110:30 AM 11:15 AM ACC North Breakout SIntermediaHealthcare0541 DHL ExpresThe journey10/25/20110:30 AM 11:15 AM ACC North Panel Sess IntroductoTransportat0196 Manage youAs many com10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoHorizontal 0174 PerformancSystem Perf10/25/20110:30 AM 11:15 AM ACC North Breakout SIntroductoHorizontal 0274 Predicting 10/25/20110:30 AM 11:15 AM ACC North Panel Sess IntroductoHorizontal 0227 Strategies As companie10/25/20110:30 AM 11:15 AM ACC North Breakout SIntermediaHorizontal 0901 What you sYou've hear10/25/20110:30 AM 11:15 AM ACC North Breakout Session

Wednesday AM Break10/25/20111:15 AM 11:45 AM Meals0630 2nd Centur 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoManufactur0584 AI on unst 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntermediate0323 Better MattWireless cu10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoCommunica0612 Bridging reWinning org10/25/20111:45 AM 12:30 PM ACC North Panel Sess Advanced Horizontal 0507 Cross platf This global10/25/20111:45 AM 12:30 PM ACC North Breakout SAdvanced Digital Me0511 Data WarehThe cloud i10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoHorizontal 0179 From TASM This sessi 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoRetail0656 Hacking Ha 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoHorizontal 0233 HR AnalyticEmployee pe10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoHorizontal 0251 Moving to c 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoHorizontal 0331 TARA is Pas 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntermediaHealthcare0592 Teradata Ti. 10/25/20111:45 AM 12:30 PM InnovationBreakout SIntermediaHorizontal 0271 Teradata's Open source10/25/20111:45 AM 12:30 PM ACC North Breakout SIntermediaHorizontal 0473 The human i 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoHorizontal 0145 The IoT Is 10/25/20111:45 AM 12:30 PM ACC North Breakout SIntroductoAutomotive0562 Which MarkeIf your com10/25/20111:45 AM 12:30 PM ACC North Breakout SIntermediaHorizontal

Wednesday Lunch 10/25/20112:30 PM 02:00 PM ACC South -Meals0504 Alternativ 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntermediaFinancial S0353 Attunity R As competit10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoHospitalit0681 Autonomous 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntermediaHorizontal 0224 Disrupting 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntermediaLife Scienc0325 Innovative DBA's spend10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoHorizontal 0661 IoT Market IoT represe10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductory0321 JUST - team 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductory, Interme0741 Machine LeIn the Stan10/25/20102:00 PM 03:00 PM ACC North Breakout SIntermediate0254 Multi-Genre 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoFinancial S0453 Not Just Ca 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoHorizontal 0348 PayPal Dat 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntermediate0642 Steps for dThis presen10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoHealthcare

The second half of this session will highlight the technical considerations of implementing DSU on AWS and Azure. It will specifically focus on the use of S3, Snowball Edge and Azure Blob as the backup targets.

NPM has already experienced significant results, such as: (i) an average of 15% GINI improvement in their models (ii) reduce 70% of time-to-market.7) Proactive Behavior Segmentation and N-Path Analysis8) Data monetizationIn this talk, we review our Proof-of-Concept (POC) findings using Teradata's In-database Python SCRIPT Table Operator. We also offer our lessons learned, subsequent production deployment efforts, and potential success criteria for future enterprise projects using similar strategies. Specifically, we address run-time gains using SCRIPT table operators for open-source code, distribution of data across AMPs to optimize model performance, and the pros/cons associated with a partitioned Data Labs environment for development.

How do you predict the future with the past? American Airlines operates over 900 aircraft daily and has developed predictive models with their historical operational data that allow them to improve how their teams schedule their flights and maintenance all to reduce delays and improve network efficiency. Come learn the how they did this and explore how you may do the same for your operational assets.

Boeing is using the TAS product and partnering with the Teradata SAP COE in parallel with SAP development and deployment. SAP metadata analysis is rapidly identifying the important SAP data that is needed for analytics including Boeing and 3rd party customizations. TAS replication enables near real-time data extraction and load into the Boeing EDW. The data is then processed into business consumable data structures that are then integrated with the 30+ non-SAP data sources to enable new insights and provide more effective data analytics within and across domains.The complicated customer transactions are essential to bank ledgering to performance and therefore our AI story will start with raw data to core challenges to neural network like algorithm on sequential behavior across section.With such, people can quickly unleash the power of big data (fuel for data hungry AI) and high performance computation.

We will begin with a brief history of security on the platform and then, by proving the relative insecurity of Hadoop in its native form, we will illustrate why improving security of the Hadoop data lake is of the utmost importance. The technical portion of the session will be separated into network discovery, impersonation, and mitigating security controls. We will also explore the likelihood of sensitive data being stored in the data lake due to the nature of its use.

Hear five common, real-world problems from the inside that multiple Teradata partners have encountered and how they were solved.This presentation provides an overview of DSA Architecture, BAR Portlets, benefits and performance gain of using DSA and migration path which will help the Customers who are thinking of migrating from TARA to DSA.

In this talk, we discuss the place of humans in the analytics loop and where value can be added without waiting for new technologies to be readyIn this presentation, Niall O'Doherty and Martin Willcox will share learning from successful Teradata IoT projects about how to manage and leverage sensor data - and demonstrate that data management, data integration and multi-genre Analytics are foundational to driving business value from IoT initiatives. We will focus in particular on industrial and manufacturing settings, but much of our presentation will be relevant for delegates working with customers in all industries.

China Banking Corporation (Chinabank) is a new commercial bank customer for Teradata in the Philippines. Through a RACE engagement, Teradata was able to show expertise and the value of Analytics Business Consulting in helping the bank validate and build credit risk models. In partnership with Teradata, we successfully validated and improved 2 models: 1) a regulatory PD model for SME customers, and 2) a credit scoring model for retail credit card customers. The primary tool used was Aster Analytics to demonstrate the use of machine learning to complement models developed using traditional statistical methods. This session will be of use to Risk Management Professionals and Teradata's account teams looking to learn Teradata's value proposition in Risk Management and position consulting services and use-cases in the area of regulatory risk, as well as using Analytics Business Consulting as an entry point.

* The differences between deep learning and shallow learning and when to apply which technique.* The ThinkDeep framework for automating the generation and deployment of models for machine learning and deep learning.Implementing end-to-end data integration deserves a number of capabilities including dynamic adoption of data variability, trusted sources, fluid data integration, the ability to establish cross-linkages between elements, to refresh data at the speed of business needs, and with role-based access.In the session, Sanofi will describe the introduction of a disruptive data integration approach to become business outcome led, leveraging the value of data in its business context (metadata, master data, operational information, business rules applicable in its functional, operational and scientific context), to capitalize on its data legacy.

We also needed to support business users with little analysis experience. JUST (J-MARK User Satisfaction Team) analysis support team was established for supporting analytics utilizing DWH. JUST analysis team's objective is to assist user from analytic point of view, providing tips and clues of data utilization methods. We also provide practical analytical techniques to users, allowing them to gain practical results in their business area. From now, JUST team will shift main activity from traditional analytics to AI technology driven analytics. JCB is working to make AI infrastructure, so JUST will drive to support analytics utilizing AI infrastructure.

In this session, we will talk about how Teradata's RACE methodology and multi-genre analytics were used to compliment the tradition statistical analysis.Multiple company examples will show these supply chain capabilities at work and illustrate how they will transform supply chain planning, execution, and performance management in the not so distant future.Join us for this session to learn about the PayPal journey in defining, building and delivering a world-class Data Lake, and where we are headed next to bring even more value.

0903 Strategies Strategies 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntermediate0529 Teradata S 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoHorizontal 0545 The Voice o 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoCommunica0430 Why your da 10/25/20102:00 PM 03:00 PM ACC North Breakout SIntroductoCommunica

Wednesday PM Break10/25/20103:00 PM 03:30 PM MealsWednesday General S10/25/20103:30 PM 05:20 PM Arena General SessionPARTNERS Gala Event10/25/20107:30 PM 11:00 PM House of BSpecial EventsThursday Breakfast 10/26/20107:30 AM 08:45 AM Arena PlazMeals

0369 Analytics O 10/26/20109:00 AM 10:15 AM ACC North Breakout SIntermediaHorizontal 0437 ArchitecturIn recent y10/26/20109:00 AM 10:15 AM ACC North Breakout SIntroductoHorizontal 0476 Aster AnywhThe next ge10/26/20109:00 AM 10:15 AM ACC North Breakout SIntroductoHorizontal 0252 Is your clo 10/26/20109:00 AM 10:15 AM ACC North Breakout SIntermediaHorizontal 0245 Presto at YYahoo! JAPA10/26/20109:00 AM 10:15 AM ACC North Breakout SIntroductoHorizontal 0126 Tech Updat 10/26/20109:00 AM 10:15 AM ACC North Breakout SIntroductoHorizontal

Thursday AM Break 10/26/20110:15 AM 10:45 AM Meals0306 Advanced dKnowing how10/26/20110:45 AM 12:00 PM ACC North Breakout SIntermediaHorizontal 0391 ApplicationKernel dens10/26/20110:45 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0543 Divide And 10/26/20110:45 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0147 My Data Sci 10/26/20110:45 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0134 Using Hybr 10/26/20110:45 AM 12:00 PM ACC North Breakout SIntroductoHorizontal 0486 Using TeraTeradata Da10/26/20110:45 AM 12:00 PM ACC North Breakout SIntermediaHorizontal

Conference Closes 10/26/20112:00 PM 01:00 PM Special Events

This session provides an overview of performance scalability studies done in-house for the Teradata Database on different MPP environments - on-premises platforms, Teradata Managed Cloud, and public cloud platforms like AWS & Azure. The session also includes lessons learned, as well as tips/takeaways on using analytic tools for performance analysis.2: Perform root cause analysis of calls to IVR and agents to reduce call center costs and enhance customer experience.3- Create a robust CEI per customer using operational data and VoC results* Expectation too high? (New product, revenue generation, operation efficiency)* Do you find the right big data partners? (PoC is needed)

We took this journey together with our client at every step and are happy to share our methodologies to inspire and catalyse future projects.

We will dive deep into networking protocols, kernel stacks and OS settings to understand what is really happening between you and your cloud. Along the way, we will uncover numerous settings you can use to adapt to your network conditions.

Unity is uniquely able to make statement level decisions about which method of data synchronization is the most optimal while ensuring that even when switching between methods all transactions are always applied in the proper context to keep systems in sync.

Teradata Maps is a powerful and flexible offering to support the availability and performance of your analytical solutions. Get ready for it!We also discuss how can we learn from failure so that the same mistakes are not made over and over, each project stuck in the same initial iterative steps. Many teams will be encouraged to document and promote successes, but how many of them accurately document the things that don't work? With many Data Science teams experiencing high turnover, are your precious resources just failing in the same way as their predecessors? Come to this session and hear some solutions and war stories from the field.Description of all tools and processes used for system provisioning and application seeding is clearly presented. All information about the predictive analytics and algorithms is also detailed.

Track Sub Track Master Meet Up Super TracVirtual Primary SpPrimary SpPrimary S Primary Sp

Technical Advanced AMaster Michael Riordan Teradata Data Scientist

Technical Teradata aMaster Jim Browning Teradata CEnterprise Business Marketing/Master Tony Brown Teradata VP MarketiTechnical Cloud/On-pMaster Ray Newell Teradata Leanring ConsultantTechnical Artificial Master Klas Eckervald Teradata Ecosystem Technical Data ScienMaster Mike Coutts Teradata Distinguished EngineerTechnical Business PrMaster Mark Ott Teradata Data ScientistTechnical Teradata aMaster Todd Walter Teradata Chief TechnologistBusiness Data Science Driven Organizations – deploying pred Susan Baskin Teradata DirectorTechnical Development Practices and Methodologies Ondrej Vasicek O2 Czech RHead of BI DevelopmentBusiness Marketing/CRM – marketing and/or customer relationDaisuke Inoue JIBUN BANExecutive OfficerTechnical Cloud/On-premises computing and Cloud analytics John O'Brien Radiant AdPrincipal Advisor and CEOBusiness Business Productivity Joseph Taylor Teradata Sr. IndustrTechnical Development Practices and Methodologies Vinatha Voleti IHG Delivery ManagerTechnical BI Technologies Mark Shainman Teradata Corporation

Business Advanced Analytics Dave Schrader Teradata USports AnalBusiness Data Governance – quality measures and stewardshipJay Irwin Teradata Director, TBusiness Cloud/On-premises computing and Cloud analytics Marc Clark Teradata Director, Technical Teradata and Teradata Aster Technology Carrie Ballinger Teradata Technology & Innovation OfficeBusiness Advanced Analytics Eric Hixson Cleveland CSenior ProBusiness Advanced Analytics Michelle Tanco Teradata Data ScientistBusiness Data Science Driven Organizations – deploying pred Yenny Yang Teradata Teradata UBusiness Data Science Driven Organizations – deploying pred Robert Uren United StatAir Force VBusiness Business Productivity Paulina Dias Lojas RiachMarket IntBusiness Business Productivity Scott Holmes FedEx ServIT ManagerBusiness Data Science Driven Organizations – deploying pred Sean Watson Rise Again Director oTechnical Teradata and Teradata Aster Technology RAJA RAD JOTHI OVERSTOCTERADATA Technical Big Data Architecture Brett Vermette General MoDirector - Big Data Infrastructure & EngineeringBusiness Business Productivity Andreas Breeden Vodafone BI ArchitecBusiness Artificial Intelligence/Machine Learning Karthik GuruswamTeradata Principal ConsultantBusiness Hadoop – what is it, why do we need it, explained Jignesh Miyani Teradata Senior ArchitectTechnical Artificial Intelligence/Machine Learning Weicheng Liu Wells Farg Vice PresidBusiness Text and Predictive Analytics John Carlile Teradata Sr. Busines

Business Data Governance – quality measures and stewardshipJohnny HernandezAMEX GlobaDirectory CTechnical Development Practices and Methodologies Adel Chehab Teradata Senior ConsultantTechnical BI Technologies John Graas Teradata CSenior TeraTechnical Cloud/On-premises computing and Cloud analytics Richard Beaver Whole FooGlobal SenBusiness Artificial Intelligence/Machine Learning Patrick Deglon Teradata Vice President, Advanced AnalyticsTechnical Teradata and Teradata Aster Technology Michael McIntire Teradata LCTO Advanced AnalyticsTechnical Artificial Intelligence/Machine Learning Virtual Dietrich TrautmannThink Big Data ScientTechnical Internet of Things Ali Bajwa HortonworPrincipal Partner Solutions EngineerTechnical Cloud/On-premises computing and Cloud analytics Mandus Momberg Amazon WeApplication Platform Lead Business Business Productivity David Gilbreath Teradata Unity Suite ArchitectTechnical Artificial Intelligence/Machine Learning Virtual Nadeem Gulzar Danske Ba Head of Advanced Analytics & ArchitectureTechnical BI Technologies Virtual Harjeet Komal Hudson's Senior manBusiness Marketing/CRM – marketing and/or customer relationRoy BeckelhymThe Coca- Director - Business Real-Time and Advanced Analytics. Mark Van de WieHVR CTOBusiness Business Productivity Danian Liu UHG - OptumTechnical Teradata and Teradata Aster Technology Faraz Ahmad Teradata Software EngineerTechnical Real-Time and Advanced Analytics. Gary BhandarkaMerck Associate DBusiness Virtual Stephen Brobst Teradata Chief Technology OfficerTechnical Development Practices and Methodologies Eddie Sayer Teradata Senior Consultant, Ecosystem ArchitectureBusiness Artificial Intelligence/Machine Learning Brandon Purcell Forrester Senior AnalystTechnical Teradata and Teradata Aster Technology Matt Mazzarell Teradata Data ScientistTechnical Artificial Intelligence/Machine Learning Virtual David Mueller Teradata Practice Partner, Advanced AnalyticsBusiness Cloud/On-premises computing and Cloud analytics Doug Henschen Constellat Vice President and Principal Analyst

Introductory, Intermediate, Advanced Stephen Brobst Teradata Chief Technology OfficerBusiness Cloud/On-premises computing and Cloud analytics Dan Vesset IDC Group VP, analytics and information management market researchBusiness Business Productivity Paul Hooper NXP SemicIT ManagerTechnical Big Data Architecture Michifumi Katsuta Rakuten, Inc.Business Business Productivity Virtual Jim Wakefield Teradata Sr. Solution ArchitectTechnical Business Productivity Hari BaskarNarayanasStandard CSenior ProBusiness Business Productivity David Brand Western ReManager – Technical Teradata and Teradata Aster Technology Sri Raghavan Teradata Senior Product Marketing ManagerTechnical Teradata and Teradata Aster Technology Jim Browning Teradata CEnterprise Security ArchitectBusiness Development Practices and MethodologiesVirtual Larry Scheurich Kaiser Per Principal Data Warehouse EngineerBusiness Business Productivity Virtual Tom Fastner Teradata CTO Teradata DatabaseTechnical Real-Time and Advanced Analytics. Raheel Aslam Utah Jazz Data ArchitTechnical Cloud/On-premises computing and Cloud analytics Lenny Getts US Air ForcDeputyTechnical Big Data Architecture Mike Magalsky Micron TecEnterprise Business Advanced Analytics Daniel Sandberg Tetra PakBusiness Internet of Things Tarun Agarwal Teradata Sr ConsultTechnical Cloud/On-premises computing and Cloud analytics Keith Muller Teradata Engineering Fellow

Business Cloud/On-premise computing and Cloud anaVirtual Brian Wood Teradata Director, Cloud MarketingTechnical Data Science Driven Organizations – deploying pred Diana Diaz AgrelaBankia Head of AdBusiness Advanced Analytics Iwan Djuniardi DirectorateDirector of Transformation Technology Communication and Information (CIO)Business Business Productivity Abhishekh Neeraty T-MobileBusiness Internet of Things David MenningerVentana ReSVP & Research Director

Business Business Productivity Anna Knapik Procter and GambleTechnical Advanced Analytics Choudur LakshminaTeradata EngineerinTechnical Cyber Security Su Rayburn Delta CommAVP of InfTechnical Development Practices and MethodologiesVirtual Armin WoworskyRaiffeisen Director, Data Warehouse Platform & Methodologies

Virtual Eric Hixson Cleveland CSenior ProTechnical Teradata and Teradata Aster Technology Virtual Tom Fastner Teradata CTO Teradata DatabaseTechnical Cloud/On-premises computing and Cloud analytics Randy Eskridge Teradata Sr. DirectBusiness Cloud/On-premises computing and Cloud analytics Martin Di Santo Mercado LiDBABusiness Marketing/CRM – marketing and/or customer relationAnand Atre Think Big AFinancial SBusiness Artificial Intelligence/Machine Learning Mike Gualtieri Forrester Principal AnalystBusiness Business Productivity Daryll Eaton The Boein Sr. ManageBusiness Data Science Driven Organizations – deploying pred David Bloch Vodafone Manager - Analytics and Data StrategyBusiness Business Productivity Virtual Scott Collen Think Big ASr. BusinesBusiness Internet of Things Virtual Jon Dunsdon GE Digital Chief TechnTechnical Text and Predictive Analytics Kyle Grove Teradata Senior DataTechnical Real-Time and Advanced Analytics. Allen Hoem Teradata Product ManagerBusiness Advanced Analytics Metra Utama PT TELEKOVice President, IT PlanningTechnical Business Productivity Brian RampersadLoblaw ComDirector, DBusiness Development Practices and Methodologies Khrisha Rigby Utah Jazz/LETL DeveloTechnical Teradata and Teradata Aster Technology Virtual Tim Miller Teradata Senior AdvTechnical Cloud/On-premises computing and Cloud analytics Rick Burns Teradata analystTechnical Teradata and Teradata Aster Technology Virtual Philip Benton Teradata Software ATechnical Big Data Architecture Luke Kay DIBP EDW TechniBusiness Cloud/On-premises computing and Cloud analytics Ron Luebke Teradata Sr Cloud ArchitectTechnical Data Science Driven Organizations – deployVirtual Gregory Kanevsky Thing Big AData Science and AnalyticsTechnical Teradata and Teradata Aster Technology Guy Kerr Westpac BaDatabase Manager Technical Virtual Stephen Brobst Teradata Chief Technology OfficerBusiness Advanced Analytics Jeff Vernice Horizon BCBS of NJTechnical Teradata and Teradata Aster Technology Ruth Fenwick Teradata Sr. SoftwarBusiness Advanced Analytics Joerg Hochapfel Lufthansa Analytics CTechnical Internet of Things Artur Borycki Teradata Distinguished Engineer Technology & Innovation Office, Teradata LabsBusiness Advanced Analytics Jan Mišun O2 Czech RSenior Finance ManagerTechnical Cyber Security Virtual Mark Bower Micro FocuGlobal Director, Product ManagementBusiness Advanced Analytics Eddie Sayer Teradata Senior Consultant, Ecosystem ArchitectureBusiness Advanced Analytics David Wiggin Teradata Business ConsultantTechnical Advanced Analytics Ivy Cai PayPal Teradata ETechnical Teradata and Teradata Aster Technology Virtual Tom Fastner Teradata CTO TeradaBusiness Data Science Driven Organizations – deploying pred Dimitry GorinevskyStanford UnConsulting ProfessorTechnical Teradata and Teradata Aster Technology Louis Landry Teradata Engineering FellowTechnical Cloud/On-premises computing and Cloud analytics Ken Casey WholefoodData Wareh

Technical Internet of Things BJ Yurkovich The Ohio SResearch SpTechnical Teradata and Teradata Aster Technology Sung Jin Kim TeradataBusiness Big Data Architecture Noel Yuhanna Forrester Principal AnalystBusiness Business Productivity Yasmeen Ahmad Teradata Director ofTechnical Teradata and Teradata Aster Technology Virtual Carrie Ballinger Teradata Technology & Innovation OfficeTechnical Big Data Architecture Shania Fu TD Bank G Associate V

Business BI Technologies Heidi Daniels WalmartBusiness Advanced Analytics Virtual Philip Hood Westpac BaManager, Modelling, Data ScienceBusiness Data Science Driven Organizations – deploying pred Phil BroadbenteBay Sr. ManageTechnical Cloud/On-premises computing and Cloud analytics Randy Tsai PayPal Sr. Data WTechnical Teradata and Teradata Aster Technology Kashif Siddiqui Teradata Software ATechnical Real-Time and Advanced Analytics. IAN WILLSON The Boein AIMS Chief Architect Data, Technical FellowTechnical Teradata and Teradata Aster Technology Virtual Ed White Teradata VP Product MarketingTechnical Teradata and Teradata Aster Technology Alison Torres Teradata Solutions ArchitectTechnical Cloud/On-premises computing and Cloud analytics John TimmermaTeradata Global Marketing Evangelist

Business Advanced Analytics Petr Luft O2 Czech RProject ManagerBusiness Artificial Intelligence/Machine Learning Virtual Mike Gualtieri Forrester Principal AnalystTechnical Teradata and Teradata Aster Technology Richard Barbarick Boeing IntegrationTechnical Development Practices and Methodologies Raj ThanalapatJohnson & JohnsonTechnical Cloud/On-premises computing and Cloud analytics VenkateshGovindarajThe Coca- Senior PlatBusiness Business Productivity Sandra Castaneda McCain FooInformatioTechnical Business Productivity David Prinsen NXP SemicIT ArchitecTechnical Data Science Driven Organizations – deployVirtual Suhail Memon OVERSTOCEDW DatabaBusiness Advanced Analytics Bill Stuart Wells FargoTechnical Big Data Architecture Arul RamachandPayPal Sr Hadoop EngineerBusiness Business Productivity Chris Andrews Hospital C AVP, EnterBusiness Data Science Driven Organizations – deployVirtual Ksenija Draskovic Verizon WiAssociate Fellow - Data ScienceBusiness Data Science Driven Organizations – deploying pred Driss TemsamaniCitigroup Head of Business IntelligenceBusiness Advanced Analytics Kim Autrey Teradata CPractice Director - Finance, Accounting & Risk AnalyticsBusiness Data Science Driven Organizations – deploying pred Philip Russom TDWI: The Research Director for Data ManagementBusiness Marketing/CRM – marketing and/or customer relationFRANCISO AZORES VODAFONEOnLine Business Unit Director Business Artificial Intelligence/Machine Learning Virtual Frank Saeuberlic Teradata Director Da

Business Data Science Driven Organizations – deploying pred Kevin Lewis Teradata Consulting Director

Technical Big Data Architecture Super TracVirtual Atif Kureishy Teradata Vice PresidBusiness Business Productivity Jose Basa Teradata VP of TechBusiness Marketing/CRM – marketing and/or customer relationLeslie Mannion Teradata Sr. DirectTechnical Cloud/On-premises computing and Cloud analytics Scott Wearn Teradata Senior EnteTechnical Hadoop – what is it, why do we need it, explained Nicholas Polizzi Enterprise Lead ArchitBusiness Data Science Driven Organizations – deploying pred Naoki Yoshida SBI SumishiManagerBusiness Futures Super TracVirtual Rusty Warner Forrester Principal ABusiness Business Productivity Virtual Dustin Spangler Larry H MilVP of BusinTechnical Text and Predictive Analytics Virtual Kyle Grove Teradata Senior DataTechnical Teradata and Teradata Aster Technology Patrick Abreo PayPal Senior ManTechnical Advanced Analytics Sri Raghavan Teradata Senior ProTechnical BI Technologies Mark Shainman Teradata Corporation

Tony Brown Teradata VP MarketiTechnical Development Practices and Methodologies Sharon Eastham Kaiser WA Senior IT Technical Big Data Architecture John Myers EMA Managing Research DirectorBusiness Data Science Driven Organizations – deploying pred Amy Heinrich Teradata Data Scient

Technical BI Technologies Alec Gardner Think Big ADirector, Global Services & StrategyBusiness Internet of Things Virtual Todd Walter Teradata Chief TechnologistTechnical Big Data Architecture Super TracVirtual Robert MontemurTeradata Senior Partner - International Architecture COETechnical Teradata and Teradata Aster Technology Barry Silvester Teradata Director, Business Advanced Analytics DongNing Yuan Citic Bank ManagerTechnical Business Productivity Joseph Thissen Kaiser Per EDW ManaBusiness Business Productivity ChristopheDonovan Cleveland CExecutive DBusiness Advanced Analytics Sandro SinhorignoItau Uniba Credit RisBusiness Data Science Driven Organizations – deploying pred MuhammadFarooq Saudi Tele Lead Data STechnical Data Science Driven Organizations – deploying pred SandeepkuKothiwale Hospital C Data ScientistBusiness Advanced Analytics Super TracVirtual Graeme Aitken DHL ExpresVP Business ControllingTechnical Big Data Architecture Miroslav Hovorka Lufthansa Domain ArcTechnical Teradata and Teradata Aster Technology Virtual Barbara Christjohn Teradata Principal CBusiness Data Science Driven Organizations – deploying pred Seth Babcock American ASr. ManagerTechnical Advanced Analytics William McKnight McKnight CPresident

David Huhta Teradata

Technical Advanced Analytics Kevin Cushman Boeing Enterprise Business Artificial Intelligence/Machine Learning Weicheng Liu Wells Farg Vice PresidBusiness Advanced Analytics Super TracVirtual Venkat Ra GangavaraVerizon WiSr. Mgr, Pred/Prescriptive AnalyticsBusiness Data Science Driven Organizations – deploying pred Mohnish Bahl eBayTechnical Data Governance – quality measures and stewardshipSteve HaydostianISSA EducaData SecurTechnical Cloud/On-premises computing and Cloud analytics Tony Baer Ovum Principal AnalystTechnical Teradata and Teradata Aster Technology Matt Rodriguez Best Buy Solution ArTechnical Cyber Security ChristopheMcVey Teradata Senior SecuBusiness Advanced Analytics Ray Esboldt 3M Manager – Technical Cloud/On-premises computing anSuper TracVirtual Kevin Bogusch Teradata Cloud SolutTechnical Development Practices and Methodologies Ramakrish Koralla Anthem System DBTechnical BI Technologies Ranjan PriyadarshiTeradata Director, Product ManagementTechnical Big Data Architecture Chad Meley Teradata VP of Product MarketingBusiness Data Science Driven Organizations – deploying pred Leo Lopes Think Big ASenior Data ScientistBusiness Internet of Things Virtual Niall O'Doherty Teradata Director BBusiness Marketing/CRM – marketing and/or customer relationMark Swenson Teradata Principal Consultant

Business Advanced Analytics Ananias Cornelio China BankChief Risk OfficerTechnical Real-Time and Advanced Analytics. Nate Helwagen Maryland LDeveloperBusiness Artificial Intelligence/Machine Learning Virtual Stephen Brobst Teradata Chief Technology OfficerBusiness Business Productivity Virtual Martin Longpre SANOFI Solution ArTechnical Business Productivity David Starr Enterprise Database Administrator SeniorBusiness Internet of Things John O'Brien Radiant AdPrincipal Advisor and CEOBusiness Data Science Driven Organizations – deploying pred Hiroshi Minotani JCB CO., LTSenior Vice PresidentTechnical Artificial Intelligence/Machine Learning Virtual Peter Bailis Stanford UnAssistant ProfessorBusiness Data Science Driven Organizations – deploying pred Ugur Aydın QNB FinanDirector CrBusiness Advanced Analytics Blake Johnson Stanford UnAdjunct ProfessorTechnical Big Data Architecture Virtual Deepak MohanakumPaypal MTS-2, Software Engineer, Big Data Platform EngineeringBusiness Business Productivity Rick Andrews Centers fo Data Scient

Business David Carmer Teradata Senior Application ConsultantTechnical Cloud/On-premises computing and Cloud analytics Bryan Popka Teradata Data PlatfoBusiness Advanced Analytics Raafat Mounla Saudi tele Customer Experience Program Design & Performance DirectorBusiness Data Science Driven Organizations – deploying pred George Chiu Teradata

Technical Data Science Driven Organizations – deploying pred Eliano Marques Teradata Head of Data Science InternationalTechnical Advanced Analytics Preeti Javaji Teradata Data ScientTechnical Teradata and Teradata Aster Technology Alan Beck Teradata ArchitectTechnical Cloud/On-premises computing and Cloud analytics Kevin Bogusch Teradata Cloud Solution ArchitectTechnical Big Data Architecture Mark Shainman Teradata CorporationTechnical Big Data Architecture David Gilbreath Teradata Unity Suite

Technical Teradata and Teradata Aster Technology Otto Almeida Teradata PS ConsultTechnical Advanced Analytics Chris Smith Teradata Data ScientTechnical Teradata and Teradata Aster Technology Jay SuryamurtTeradata PerformancBusiness Data Science Driven Organizations – deploying pred ChristopheHillman Teradata Data ScientistTechnical Cloud/On-premises computing and Cloud analytics David Gilbreath Teradata Unity Suite ArchitectTechnical Development Practices and Methodologies Paul Sinclair Teradata CDatabase Architect

Co-SpeakerCo-SpeakerCo-SpeakeCo-SpeakerCo-SpeakerCo-SpeakerCo-SpeakeCo-SpeakerCo-SpeakerCo-Speaker

Data Scientist

Joanne Erceg Ebay _Kathy Koontz Think Big APractice Director, Customer Journey

Leanring ConsultantPaul Quinn Think Big AEmerging TEliano Marques Teradata Head of Data Science International

Distinguished EngineerData ScientistChief Technologist

Yenny Yang Teradata Teradata University Network Program ManagerHead of BI DevelopmentExecutive OfficerPrincipal Advisor and CEO

Gisle Karlsen ConocoPhilSUPV, INTEGRATED PLANNING & SCHEDULING, CP NORGE - NORWAY BRDelivery Manager

Teradata Corporation

Susan Baskin Teradata DirectorAnhad Singh DataguiseShawn Moon TicketMastDirector D Patrick Spann Warner Brodirector Database Solutions

Technology & Innovation OfficeBob Matsey Teradata Senior Analytic Consultant

Data ScientistSusan Baskin Teradata DirectorDarrin Gaines Teradata Principal ConsultantMauricio De Paula Teradata Business Consultant for RetailRoss VanDooserTeradata Director, BPaul Wearden Teradata CSr. Business Consultant IIYenny Yang Teradata UProgram ManagerDaniel Skidmore Overstock SENIOR MANAGER OF EDW DB ENGINEERING

Director - Big Data Infrastructure & EngineeringFrank Hartenstei Vodafone Manager BI Business Architecture

Principal ConsultantSenior Architect

Diego Klabjan NorthwesteProfessor at the McCormick School of Engineering and Applied SciencesGregory Kanevsky Teradata Data Scientist

Marco Carmona Protegrity Presales Solution ArchitectSenior Consultant

Srinidhi Narayan Tableau Sales Consultant (USA Channels and Partners)Kathleen Edmons Teradata CSenior Cloud Program Director

Vice President, Advanced AnalyticsCTO Advanced Analytics

Dave Pranay ThinkBig AnDirector Data SciencePrincipal Partner Solutions EngineerApplication Platform Lead Unity Suite ArchitectHead of Advanced Analytics & Architecture

Brian RampersadLoblaw ComDirector, DVijay Anand MicroStratSenior Director, Product MarketingJeff Tanner Old DominiDean Strome College of BusinessHimanshu Gadgil Kiewit KTG Sr. Manager, Enterprise ReportingJennifer Wray Teradata Solution Architect

Software EngineerTho Nguyen Teradata Channel Development Specialist

Chief Technology OfficerSenior Consultant, Ecosystem ArchitectureSenior AnalystData ScientistPractice Partner, Advanced AnalyticsVice President and Principal AnalystChief Technology OfficerGroup VP, analytics and information management market research

Michael Hackerott NXP SemicInformation Architect Keijiro Suzuki Rakuten, Inc.

Sr. Solution ArchitectWayne Mendham Standard CGlobal HeadSunny Sundaram TeradataJohnny Gipson Teradata Sr. Business Consultant

Senior Product Marketing ManagerEnterprise Security ArchitectPrincipal Data Warehouse EngineerCTO Teradata Database

Jeffrey Wilkinson Utah Jazz BI DeveloperLarry Potts US Air ForcChief EngineerMike Cunliffe Micron TecSenior Enterprise Data ArchitectNoha SchellenbeTeradataWaseem Shaik Teradata Practice Lead for IoT Analytics

Engineering Fellow

Director, Cloud MarketingPablo Escobar de Think Big Senior Delivery Lead

Director of Transformation Technology Communication and Information (CIO)Gregory Thomas Teradata Jesse Lynch T-Mobile Director of Business Solutions

SVP & Research Director

AleksandraZieba Procter and GambleAwny Al-Omari Teradata Teradata Aster Engineering FellowJuliana Chapman Protegrity Director Fi Marco Carmona Protegrity Presales Solution Architect

Director, Data Warehouse Platform & MethodologiesMichael Lewis Cleveland CSenior Director, Healthcare Analytics

CTO Teradata DatabaseImad Birouty Teradata Director Teradata Marketing

William (BilBishop Teradata CPrincipal Consultant and Practice Lead Regulatory & Compliance AnalyticsPrincipal Analyst

Scott DuPertuis Teradata Sr. Business Consultant, Industrial Practice LeadManager - Analytics and Data Strategy

Mike Parsley Tailored B Sr VP of Distribution and LogisticsAndrew Coleman GE Digital Chief Commercial OfficerChancal Chatterjee Teradata Senior DireJim Olsen Think Big APrincipal DJun Zhong

Product ManagerVice President, IT Planning

Lisa Melanson Teradata Sr. Solutio Lorenzo Danesi Teradata Solution ArchitectDustin Spangler Larry H MilVP of Business Intelligence and AnalyticsCarrie Ballinger Teradata Technology & Innovation Office

Tom Fastner Teradata CTO Teradata DatabaseJorg Raap Australian Director of the Enterprise Data Warehouse (EDW)

Sr Cloud ArchitectData Science and AnalyticsDatabase Manager Chief Technology Officer

Douglas Brown Teradata Solutions ArchitectChristopheZeiss Lufthansa Project Lead Data Science

Distinguished Engineer Technology & Innovation Office, Teradata LabsSenior Finance ManagerGlobal Director, Product ManagementSenior Consultant, Ecosystem ArchitectureBusiness Consultant

Randy Tsai PayPal Sr. Data Warehouse EngineerPhilip Benton Teradata Software Architect

Consulting ProfessorEngineering Fellow

Caden Schaefer Whole FooSenior Developer/DBA

Allen Hoem Teradata Product ManagerCao Bin Teradata Corporation

Principal AnalystBill Rand North CarolAssistant PAndrew Stephen Saïd BusineProfessor John Deighton

Technology & Innovation OfficeLisa Zhang Teradata CPrincipal Architect

Stephen Brobst Teradata Chief Technology OfficerManager, Modelling, Data Science

Jack McCush Teradata Sr. Analytic Consultant, Advanced Analytics & Data ScienceIvy Cai PayPal Teradata EngineerJames Shau Teradata Software Architect

AIMS Chief Architect Data, Technical FellowVP Product MarketingSolutions ArchitectGlobal Marketing Evangelist

Project ManagerPrincipal Analyst

John Meler Teradata Senior Technical ConsultantGreg Sannik Teradata Principal ConsultantMatthew Beaver Teradata Presales Solution ArchitectJohn Larson Claraview Director-ThinkBig AnalyticsMartijn Jagers NXP SemicEDW ArchitectCameron Monson Teradata Sr Solution ArchitectAmy Heinrich Teradata Data Scientist

Sr Hadoop EngineerThomas Hoy Hospital C Director, Information Management, IT&S

Associate Fellow - Data ScienceHead of Business IntelligencePractice Director - Finance, Accounting & Risk AnalyticsResearch Director for Data ManagementOnLine Business Unit Director

Martin Willcox Teradata Director, Big Data CoE (International)

Consulting Director

David Brand Andeavor Manager BuAna Moreira Sasol EIM Data ARobert MontemurJohn Valiton Reemo Chief Executive OfficerRitu Jain Teradata Sr. Director, Marketing, Analytic Solutions & ApplicationsGary Ryback Teradata Product Management DirectorDinesh Hiripitiyag Teradata Product Manager

Anu Jain Think Big AGM Graeme Aitken DHL ExpresVP BusinessVenkat Ra GangavaraRobert Bender Teradata Principal Industry ConsultantFordjour Kyei Wells Farg Vice President Vinod Ganesan PaypalAwny Al-Omari Teradata Teradata Aster Engineering FellowSarang Kirpekar Teradata CorporationPatrick Teunissen Teradata Engineering DirectorLarry Scheurich Kaiser Per Principal Data Warehouse Engineer

Managing Research DirectorMichelle Tanco Teradata Data ScientAmy Heinrich Teradata Data ScientLiza Duffy

Director, Global Services & StrategyChief TechnologistSenior Partner - International Architecture COE

Jing Dai Teradata Senior Software Engineer

David Schlegel Kaiser Per Lead Agile CoachAndrew Proctor MSCleveland CSr. Director Business IntelligenceDalmer Sella Itau coordinatorAHMAD HUSSAIN Saudi Tele Director CVM

Data ScientistVP Business Controlling

Joerg Hochapfel Lufthansa Analytics Center of Excellence LeadDouglas Brown Teradata Solutions ArchitectDaniel Craycraft American Airlines John Carlile Teradata Sr. BusinesBecky McCarty

Al Corsino Teradata Senior Presales Consultant - Teradata SAP COEErind Brahimi Wells Fargo Bank

Sr. Mgr, Pred/Prescriptive AnalyticsScott Walters Teradata Rajkumar Venkatesa University Professor Gary ClassVincent Lam Protegrity Senior Director, Customer and Product Marketing

Principal AnalystKaylee Parker Teradata Senior ConsultantDaniel Tomes Cloudera Solutions ArchitectJay HumphriesTeradata Director Finance Foundation PracticeMarc Clark Teradata Director, Cloud Strategy and Business DevelopmentJohn Meler Teradata Senior Technical Consultant

Director, Product ManagementVP of Product MarketingSenior Data Scientist

Martin Willcox Teradata Director, Big Data CoE (International)Principal Consultant

Chief Risk OfficerMike Connell Teradata CPrincipal Consultant

Chief Technology OfficerJulien Colinot SANOFI Clinical Data Hub Solution Architect

Database Administrator SeniorPrincipal Advisor and CEOSenior Vice PresidentAssistant Professor

Zunnoor Tarique Teradata Practice Partner Data Science, NordicsAdjunct ProfessorMTS-2, Software Engineer, Big Data Platform Engineering

Jignesh Miyani Teradata CSenior Architect

Senior Application ConsultantJay SuryamurtTeradata Performance Architect

Customer Experience Program Design & Performance Director

Head of Data Science InternationalKristi O'Grady Teradata Principal Data Scientist

Cloud Solution ArchitectFumihiko Sakurai Yahoo JapaManagerDavid Tung Teradata Unity Software Architect

Kaylee Parker Teradata Senior ConsultantKristi O'Grady Teradata Principal Data ScientistCarrie Ballinger Teradata Technology & Innovation Office

Data ScientistUnity Suite ArchitectDatabase Architect

Co-SpeakeCo-SpeakerCo-SpeakerCo-SpeakerCo-SpeakeCo-Speaker Job Role

Head of Data Science International

Senior Director, Product Marketing

Wells Fargo Amy Heinrich Teradata Data Scientist

Harvard BuProfessor of Business Administration

Teradata Senior PartKevin Bogusch Teradata Cloud Solution Architect

Verizon WiSr. Mgr, Pred/Prescriptive Analytics

Teradata Data ScientYasmeen Ahmad Teradata Director of Think Big Analytics (Central Europe, UK&I and Russia)

American ASr. Manager Information Resources

Wells Fargo

Director of Think Big Analytics (Central Europe, UK&I and Russia)