Building and Innovating with Data

Ritika GunnarVP, Data & Analytics@ritika_gunnar

Ingest data

Transform: clean

Create and build

model

Evaluate

Deliver and deploy model

Communicate results

Understand problem and

domain

Explore and understand

data

Transform:shape

OUTPUT

ANALYSIS

INPUT Architects how data is organized & ensures operability

Gets deep into the data to draw hidden insights for the business

Works with data to apply insights to the business strategy

Plugs into data and models & writes code to build apps

Data Engineer

Data Scientist

Business Analyst

App Developer

Enabling a culture for the data hungry

Major Innovation

AnalyticsOperating System

Collaborative Experiences

AnalyticsIDE

Expanding Community

AnalyticsOpen Ecosystem

Accelerating the Momentum

Built-in learning to get started or go the distance

The best of open source and IBM value-add to create state-of-the-art data products

Community and social features that provide meaningful collaboration

Learn Create Collaborate

Data Science Experience

IBM Data Science Experience

Community Open Source IBM Added Value

Powered by IBM Watson Data Platform

- Find tutorials and datasets- Connect with other data scientist- Ask questions- Read articles and papers- Fork and share projects

- Code in Scala/Python/R/SQL- Jupyter Notebooks- RStudio IDE and Shiny apps- Apache Spark - Your favorite libraries

- Modeler UI / Statistics- Prescriptive Analytics- Auto-data preparation - Auto-modeling - Advanced Visualizations- Model management and deployment

IBM Data Science Experience provides an environment that brings together everything that a data scientist needs today. It includes the most popular Open Source tools and IBM unique value-add functionalities with community and social features integrated as a first class citizen to make data scientists more successful.

Be a better Data Scientist

What is machine learning?Wikipedia: subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel, 1959).

Drive and Automate Machine Learning as a Service

UI andCollaboration

Watson Analytics

Canvas /Grid

Notebooks

APIs

DevOps

BusinessProfessional

Data Scientist

App Developer

Drive andControl

Ingest Train Model

Collaborate Deploy

Introducing a new way to do Machine Learning powered by Watson

1. EasiercreationofModelsusingvisualtools:

• GUImodelcreationthroughCanvas

• AutomatedcreationusingCADS(particularlyforApplicationDeveloper)

2. Accesstowiderangeofalgorithmsandexecutionengines• SparkML

• SPSSModeler

• Scikit-learn

• TensorFlow

3. FullMachineLearningworkflowasaservice• Deploymentofmodelstoproductionwithoutrequiringcoding

4. APIsfordeveloperstotrainandscoreMachineLearningmodels• DataScientistsaccessviaDSX,ApplicationDevelopersvia.Bluemix WMLservice

5. DeploymentandModelManagement

• DeployintoBatch,StreamingandReal-timeapplications

• Automatedmodelevaluationandupdate

DATA SCIENCE EXPERIENCE& WATSON MACHINE LEARNING

DEMO

ARMAND RUIZ – OFFERING MANAGER DSX & WATSON ML

@armand_ruiz

New approaches to data

Uses of Data

BI & DataWarehousing

Modernization

Operations

Cost Reduction

Self-ServiceAnalytics

Insight-Driven

New BusinessModels

Transformation

Valu

e

A shift in expectations

Self-service access

with trust & security

Remove silos

created by systems

& tools

Drive more intelligence faster than ever before

Innovate with open source

and the community

“Make DataSimple”

Enabling a culture for the data hungry

BusinessProfessional

DataScientist

DataEngineer

AppDeveloper

Chief Data Officer

Major Innovation

AnalyticsOperating System

Collaborative Experiences

AnalyticsIDE

Expanding Community

AnalyticsOpen Ecosystem

Accelerating the Momentum

?

The first data and analytics platform for the cognitive business

IBM Watson Data Platform

Platform. Ecosystem. Method.

IBM Watson Data Platform A new way to experience data

DataEngineering

DataScience

BusinessAnalysis

AppDevelopment

Experiencestask-specific, collaborative

Data and Analytics Servicescomprehensive

open ● intelligent ● hybrid

Delivering Trusted Insights

Making data simple & without risk

Accelerating trusted insights

Delivering data everywhere

Employing governance strategicallyUnified Governance

Leveraging hybrid cloud approach

BusinessProfessional

DataEngineer

DataScientist

AppDeveloper

Find Share Collaborate

common data, pipelines and projects

analytics operating system

Data Sources• On-premises / cloud• Structured / unstructured• In-motion/ at-rest• Internal / external

Govern

HadoopNoSQL / SQLObject store

Discovery / ExplorationMachine learning

Models development

Reports / DashboardsApplications

APIs

IntegrationMatching / Quality

StreamingPersist

Analyze

Ingest Deploy

Data Engineering Data Science Business Analysis App Development

Iterate

IBM Watson Data Platform A new way to experience data

The IBM DataFirst Method provides the strategy, expertise and game plan to ensure organizations gain the most value from data.

Data Management Track

Efficiency

Data LakeTrack

Modernization

Data ScienceTrack

Democratization

Data in ActionTrack

Monetization

The Method

TRUSTED PARTNERS

COMMUNITYACCEPTED

OPENSTANDARDSWatson Data

Platform

The Ecosystem

WATSON DATA PLATFORMDEMO

HARSHA KAPRE– OFFERING MANAGER WATSON DATA PLATFORM

@harsha_kapre