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EXTERNAL Machine Learning for Data Scientists Involving SAP Data Using Open Source Technologies Andreas Forster, SAP

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EXTERNAL

Machine Learning for Data Scientists Involving SAP Data Using Open Source TechnologiesAndreas Forster, SAP

2EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP.

Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related

document, or to develop or release any functionality mentioned therein.

This presentation, or any related document and SAP's strategy and possible future developments, products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this

presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided

without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a

particular purpose, or non-infringement. This presentation is for informational purposes and may not be incorporated into a contract. SAP

assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP’s intentional or gross

negligence.

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates,

and they should not be relied upon in making purchasing decisions.

Disclaimer

3EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP Strategy – Deliver the Intelligent Enterprise

THE INTELLIGENT ENTERPRISE

features 3 KEY COMPONENTS:

1 Intelligent Suite

Intelligent Technologies3

2 Digital Platform

4EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Different AI / ML requirements demand appropriate technologies

Programmed predictionsfor Developers

(Predictive Algorithm Library)

Pervasive predictions(Automated Predictive)

Freestyle scriptingfor Data Scientists

(R and Python)

Deep learning for Data Scientistson images, videos, text, voice, …

• Pre-trained models

• Pre-configured models

• Bring your own model

SAP HANA

SAP Predictive Analytics

SAP Leonardo

Machine Learning Foundation

5EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP Leonardo ML FoundationDeep Learning (text, image, video, audio)

SAP Predictive AnalyticsOperationalization and automation

SAP HANA MLIn-database Machine Learning

SAP Data HubData sharing, pipelining, and orchestration. Including data preparation and cleaning.

One integrated offering

One data science front end

Full lifecycle management

Integrated with SAP

Open Source Languages and LibrariesR, Python, Sci-kit, Tensorflow

Moving Towards a Unified ML & Data Science Experience

SAP Data Intelligence

6EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Train ML models through Python directly in SAP HANA, without data extraction

7EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Scalable deployment of R Syntax

8EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

TensorFlow integration for unstructured and very complex data

9EXTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP Data IntelligenceBenefits

1End-to-End tooling support to

operationalize the machine

learning lifecycle

Increase the productivity and

efficiency of the involved

subject matter experts

3Benefit from Enterprise visibility

and Governance as well as

from the tight integration into

SAP applications both in the

cloud and on-premise

4No generation of new

redundancies as the data is

processed where it resides

Contact information:

Andreas Forster

Global Center of Excellence

SAP Leonardo and Analytics - Europe

SAP Switzerland

+41 797 01 89 44

Thank you.