IBM Watson: Bringing Machine Learning, AI and

cognitive to lifeRethink business, technology and data to

build a platform for the future of your business

Wilfried HogeAnalytics Architect

hoge@de.ibm.com @wilfriedhoge

Successful companies have to …

… turn increasing volumes of structured and unstructured data into new, easily accessible insights.

… continually improve and personalize customer experiences and applications by infusing Machine Learning or AI.

… speed innovation and operations by putting the workloads on the right platform, on premises or on the cloud.

80%By most accounts…this is the amount of effort a data scientist spends on data integration

When all is said and done, this is the amount of effort going

towards data science.20%

Data

Integration

BUT

20%

Use of the data on this page is subject to any restrictions provided herein.

Problem Statement or target

opportunity

Find Data Assets

Explore & Understand

Data

Collect, Prep & Persist

Data

Extract features for

MLTrain Models

Deploy & monitor

accuracy

TrustedPredictions

Auto-retrain & upgrade

Development & prototyping Production

CDO (Data Steward)

Organize• Data & analytics asset

enterprise catalog • Lineage• Governance of data &

models• Audits & policies• Enables model

explainability

Data Scientist

Analyze• Explores, shapes data &

trains modelsCollaborate• Analyze models, artifacts• Reuse, interact

Data Engineer

Collect• Builds data lakes and

warehouses • Generate metadata via

tools and jobs• Gets data ready for

analytics / refines

Application Developer

• Real-time apps & business processes

• Infuses ML in apps & processes

Exec

• Sets goals & measures results

Support a governed Data Science lifecycle

4 May 9th, 2018Deutsche Telekom and IBM confidential

More than 85% of companies are committing to multi-cloud Cloud-native architectures and containers are driving multi-cloud adoption

CAGR: 16%

Portable Applications

Lift and Shift

CAGR: 30%

New App Development

CAGR: -8%

Traditional IT

Private Cloud Public Cloud

Public with Virtual

Private Cloud

Use of the data on this page is subject to any restrictions provided herein.

Manage and use all your data – regardless of where it lives

Governance, Visualization, AI, Deployment End Users

App Developers

Data Engineer

Data ScientistsCOMMENT

WORKSTREAM

PERSON

PERSON

DATASET

VISUALIZATION

APP

DATASET

INVOKES RESPONSE

USES

DATASET

COMMENT

WORKSTREAMMODEL

COMMUNITY

Structured & Unstructured Data

Public Cloud

On-Premises

Private Cloud

Your Data Anywhere

Business Analysts

Use of the data on this page is subject to any restrictions provided herein.

Manage and use all your data – regardless of where it lives

Governance, Visualization, AI, Deployment End Users

App Developers

Data Engineer

Data Scientists

Structured & Unstructured Data

Public Cloud

On-Premises

Private Cloud

Your Data Anywhere

Business Analysts

Data

Metadata

ML Models

IBM Cloud Private for Data

(IBM Cloud Private)

IBM Watson Studio

(IBM Cloud Public)

• On premises behind company firewall

• Based on Kubernetes • No assembly required

• IBM public cloud offering• Based on Services in IBM

Cloud

Starting point for University members and students:

ibm.onthehub.com/WebStore/OfferingDetails.aspx?o=bb1c264b-9eb1-e611-9423-b8ca3a5db7a1

8Deutsche Telekom and IBM confidential

Where to go from here?

What is your cloud adoption policy?

What are your privacy needs?

What is your way to integrate AI?

Get more infos about IBM Watson Studio:

ibm.com/cloud/watson-studio

Get more infos about IBM Cloud Private for Data:

ibm.com/analytics/cloud-private-for-data/

Questions? @wilfriedhoge9