Vital.AI Creating Intelligent Apps

C r e a t i n g I n t e l l i g e n t A p p sw i t h S e m a n t i c s & B i g D a t a

O c t o b e r 2 , 2 0 1 3

Marc C. Hadfield, FounderEmail: [email protected]

Thursday, October 3, 13

mailto:[email protected]


<introduction>Marc HadfieldFounder of Vital.AI

Vital.AIBig Data Application Platform:

Semantics & Big Data in one platform,

combining multiple Data Analysis

techniques.


Intelligent Applications

Development Processes

Business Value

Today:


Intelligent Applications:

...learn from experience.

Thus, are experience-driven: data-driven.

“self-optimizing”


Data-Driven Applications


Moderni.st


Personal Agent App


Why are data-driven applications different?


User Interface

Business Logic

Database

Traditional Applications


“sta%c”



“dynamic”

User Interface

Business Logic

Events

Data-Driven Applications

Data

Analytics

Derived Behavior

Logic


Data-Driven Applications use many different technologies, with many different skill sets:greater power, higher cost.


Why do we want a data-driven application?


What are the components of a data-driven application?

Data Collection

Dynamically Adjust Behaviors

Data Analysis / Feedback


Implementing a Data-Driven Application.


Implementation Goals:

Off the shelf?

Minimize Impedance Mismatch:Mobile/Web User Interface vs.

Semantic vs.Big Data vs.

...

Efficient Development Processes


Vital.AI Platform Stack

Clean separation of responsibilities and skill sets.

Rapid Development of Data-Driven Apps.

VitalSigns: Ontology-based Data Model.


Vital Prime

REST Interface

Collects Real-Time Events

Database Interfaces:HBase, Allegrograph, ...

Workflow Interface

Script Engine

In-Memory Analytics

User State Management


Vital Flows

Implements Workflows:

Natural Language Processing

Run Predictive Analytics

Graph Analytics

Logical Inference

Many open-source components in a common workflow framework.


Hadoop

Implements Big Data Analysis:

Machine Learning

Build Predictive Models


Vital Core Ontology


Vital Core Ontology

Vital Domain Ontology

Application Domain Ontology

Extending the Ontology


Generating Data Bindings with VitalSigns:

Ontology VitalSigns

Groovy Bindings

Semantic Bindings

Hadoop Bindings

Prolog Bindings

Graph Bindings

HBase Bindings

JavaScript Bindings


person123.name = "John"person123.worksFor.company456

<person123> <hasName> "John"<worksFor123> <hasSource> <person123><worksFor123> <hasDestination> <company456><worksFor123> <hasType> <worksFor>

person123, Node:type=Person, Node:hasName="John"worksFor123, Edge:type=worksFor, Edge:hasSource=person123, Edge:hasDestination=company456

Groovy

RDF

HBase

Data Representations


Editing the Ontology


Developing with the Ontology in UI, Hadoop, NLP, Scripts, ...

Node:Person Node:PersonEdge:hasFriend

Set<Friend> person123.getFriends()

“Best Practices” in Ontology Development.


Data Analysis


Using Natural Language Processing

Topic Categorization Extract Entities

Dialogue System Entity Normalization


Using Graph Analytics

PageRank, Centrality, Interest Graph, ...


Using Machine Learning

Implemented via Hadoop

Algorithms from Mahout

Build Predictive Models

Models used in Workflows

Data defined in Ontology

Classification, Clustering...


Data Visualization - Cytoscape


Data Management - Dashboard, Wiki


Examples

Shopping Recommendation App

Personal Agent App

Content Recommendation App


Content Recommendation

REST Interface

Vital Client

Vital Prime

Vital Flow Queue

Integrator NLP HadoopML Model

S3

Elastic Map/Reduce

Mahout

300M Users

100K Publishers

NLP

Machine Learning

Content + User Signals

Recommendations


Personal Agent

Dialogue System


Personal Agent

Interest Graph Recommendations


Moderni.st

App Server

Vital Prime

IntegratorFlow

NLP Flow Logger Flow

Inference Flow

VITAL APIVitalSigns

Web Browser /Mobile Device

HDFS

Hbase Hadoop JobsMahout

Vital Flows

Flume

Allegrograph


Creating an Intelligent App

Create User Interface.Use Vital Client, Send Signals

Create App Ontology, includingDomain Classes & Events/Signals

Define Workflows for Data Processing

Define Predictive Models, Build Models

Create scripts for App Functionality

Deploy Components


Development Processes

Use the right tool for the right job,

& the right people for the right job.

Integrated Framework.

Coordinate on Ontology.

Eliminate Data Mis-Matches.

Clean code separation of “paradigms.”

Solve “Variety” Big Data challenge.


Business Value

Intelligent App.

Efficient, Rapid Development.

Flexibility to learn, adapt, improve.

Greatly reduce risk.


For more information, please contact:Marc C. Hadfield, FounderE: [email protected]: 917.463.4776

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THANK YOU!




Vital.AI Creating Intelligent Apps

Technology

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