BIG-DATA ANALYTICS FOR IOT: MAKING SENSE OF DATA FROM SENSORS

Muralidhar Somisetty : CTO/Co-Founder, Innohabit Technologies

© 2017: Innohabit Technologies and/or it’s affiliates. All rights reserved.

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Imagine Future: when things start to think☺

Is Artificial Intelligence anAngel or Demon?

Man To Machine: Welcome to the Era of Intelligent Systems

Agenda: Let’s step back to understand this evolution better…

When Data became really ‘Big-Data’?

What are the characteristics/complexities of Big-Data in IoT?

AI in IoT : Frameworks, Tools, Technologies

What are the use-cases of IoT with Analytics in Action?

What is the role of Analytics and How is it different in IoT context?

Conclusion

“Welcome to the Internet

of Customers. Behind every

app, every device, and

every connection, is a

customer. Billions of

them. And each and every

one is speeding towards

the future.”

- Salesforce.com

A new wave of Internet generation: SMAC, IoT

Source: Salesforce.com

Images: SmartInsight

Data Tsunami hit the shores faster than ever…

Big data is defined as the collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing methods.

IoT is adding more fuel to Big-Data Explosion

The growth on the Internet of Things (IoT) has been astonishing.

From Home to Cities,Wearables to Driverless Cars, Agriculture to Factories , more and more things are beingconnected and embedded with technology and generating big-data.

Source: IoT World Forum (IBM, Cisco)

IoT Reference Architecture

Big-Data Complexity and Characteristics in IoT

IoT/Analytics System Architecture

Data Analytics: Brain behind the IoT Systems.

Image Source:: Dr. Mazlan Abbas (IoT Evangelist / Speaker)

ESSENSE OF DATA ANALYTICS

It is the process to uncover hidden patterns, unknown correlations, trends, and any other useful business information

“No one ever made a decision because of a number.

They need a story. The value of data lies in the narrative

of the story as to why and what to do next.”- James Richardson, Gartner Research Director

Data Analytics is the science (and art!) of applying statistical techniques to large data sets to obtain actionable insights for making smart decisions.

Business Intelligence to Data Analytics

What makes IoT Analytics different?

Source: Gartner BI Summit, 2016

Why Analytics is so critical for IoT?

REAL-TIME/ FAST DATA IN MOTION

PERISHABLE DATA AND ITS SHELF LIFE

JUST-IN-TIME RESPONSEWITH ACTIONABLE INSIGHTS

Data at the Edge of IoT networks is lightning fast and time-sensitive

Making sense from endless sea of data from sensors is practically impossible without data analytics.

Typical IoT Scenario: Abundance of Data , Scarcity of Insights

McKinsey reported on IoT analytics use cases and found that an oil rig with 30,000

sensors used only 1% of its data — that’s right, one percent.

The Wheel of IoT : Sensing to Making Sense

Image Source:: i-scoop IOT guide

IoT Use-Cases:Analytics in Action

DIVERSE APPLICATIONS

Smart Wearables (Eg., Fitbit) Smart Assistants (Eg., Home, Echo)

Consumer IoT/Analytics Use-Case Scenarios

Smart Cam (Eg., Dropcam, GoPro)

• Lifestyle (Habit) Tracker • Emergency Care (advanced)• Behavioural Analytics • Predictive Analytics

• Interactive Chatbots • Smart Home + Skills App Platform • Voice Analytics • Deep/Reinforcement Learning

• Connected Cameras• Live Streaming + Social Media• Imaging/ Video Analytics • Optimization Algorithms

IOT/Analytics @ Smart Home

Key Use-Cases:▪ Home Automation ▪ Energy Optimization ▪ Safety & Security ▪ Baby/Elderly Remote Care

Analytics in Action:▪ Embedded Intelligence in Sensors/Gateways▪ Real-Time Streaming Analytics ▪ Time Series Forecasting: Patterns, Anomaly▪ Decision Sciences at the Edge.

Home Automation: Autonomous Vacuum Cleaners

• Learns Home Layout and Remembers It.• Adapts to Different Surfaces or New Items• Improvises on movement pattern for efficiency• Knows when to recharge and automatically docks itself

• Smart IoT Device controlled via remote Mobile App • Piezoelectric , Optical Onboard Sensors• Employs Machine Learning to Adapt and Improvise.

iRobot: Advanced Machine Learning in Action

IoT/Analytics for Smart Cities: Increasing Quality of Public Life

Telecom Renewable Energy Water ResourcesRetail

Cloud Signage Prescriptive Analytics

Telco OSS/BSS

Geo-Fencing, Enterprise VAS 4G/5G IoT Applications

Personalized Shopping Experience Smart Signages, Seamless Checkout

Energy Efficiency, Operational Intelligence, Predictive Maintenance

Leakage Detection, Utilization Analytics, Predictive

Maintenance

Real-Time Streaming

Big-Data

IoT Stack Grid/Sensor Network

ML/DL Models

Push Notifications

Smart Retail: Brick is the IoT AND Mortar is Data Analytics

Image Source: Cisco IoT Retail White Paper

Shopper ExpriencePlanogram ComplianceStaff Optimization

Data Science in Action in Smart Retail

Engagement

• Footfall Demographics• Dynamic Classification• Dwell Time Analytics• Preferred Shopping Path• Sentiment Analysis

Personalization

• Shopper Profile • Purchase Patterns• Brand Affinity Analysis • Product/Offer Recommender

Optimization

• Audience Impressions• Campaign Effectiveness• Product Placement Strategies• Propensity, inference, trends,

engagement, reach, ranking, comparisons, etc.

Industrial IoT/4.0: Connected Factories

Amazon embraced IoT/ Industry 4.0 streamlining their factory, fulfilment, shipping and storage experiences.

• Smart Storage Systems• Automated Order Fulfilment Centres• Supply Chain Optimization• Robotics, Drones in Action

• Baseline Analytics for Machine Performance • Automated Order Fulfilment Centres• Predictive Failure Detection of Various Machines • Deep Learning Algorithms in Action

Image Source: http://money.cnn.com/2016/10/06/technology/amazon-warehouse-robots/

AI to IA: Value of Data Analytics in Industrial IoT

In the industrial space, there is a great deal of interest in using analytics to optimize asset maintenance, production operations, supply chain, product design, field service, and other areas.

Top Analytics Use-Cases in Industrial IoT

Source: https://iot-analytics.com/product/industrial-analytics-report-201617/

IoT /Analytics Top Use-Cases By Sector

When AI meets IoT

Artificial Intelligence provides us the framework and tools to go beyond trivial real-time decision and automation use cases for IoT.

Branches of Artificial Intelligence

IOT ANALYTICS TECHNOLOGY/VENDOR CHOICES

14/05/2016 STARTUP PRODUCT MANAGEMENT 33

Tools and Frameworks for Machine/Deep Learning

ML Algorithms Mind Map: When to choose what?

Source: http://scikit-learn.org/

THANK YOU Thoughts/Questions Welcome

muralidhars@innohabit.com@muralidhar9

Webinar Synopsis

Big data analytics is undoubtedly one of the most exciting areas in computing today, and remains an area of fast evolution. Thanks to the data deluge from millions of sensors from IoT networks, it is humanly impossible to analyse and make sense of the data from sensors without analytics tools and processes. In this webinar, we will go over basics of big-data analytics, how analytics is different from traditional data warehouses or business intelligence systems, different tiers of data analytics etc., We will also see different use-cases of IoT from Smart Home to Transporation to Smart City context and how analytics can be applied for various use-cases for actionable insights. Webinar also briefly touches upon machine learning tools / techniques that are available as-a-service on cloud today.