Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

SAP Inside Track Walldorf 2018 - Demistify SAP Leonardo Machine Learning Foundation

222 views

Published on

During this session, my goal is to introduce the SAP Leonardo Innovation system, and then focus on the building blocks available under the SAP Leonardo Machine Learning umbrella.
This session included a series of live demo

Published in: Software
  • Get the best essay, research papers or dissertations. from ⇒ www.WritePaper.info ⇐ A team of professional authors with huge experience will give u a result that will overcome your expectations.
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • DOWNLOAD THE BOOK INTO AVAILABLE FORMAT (New Update) ......................................................................................................................... ......................................................................................................................... Download Full PDF EBOOK here { https://urlzs.com/UABbn } ......................................................................................................................... Download Full EPUB Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... Download Full doc Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... Download PDF EBOOK here { https://urlzs.com/UABbn } ......................................................................................................................... Download EPUB Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... Download doc Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... ......................................................................................................................... ................................................................................................................................... eBook is an electronic version of a traditional print book THE can be read by using a personal computer or by using an eBook reader. (An eBook reader can be a software application for use on a computer such as Microsoft's free Reader application, or a book-sized computer THE is used solely as a reading device such as Nuvomedia's Rocket eBook.) Users can purchase an eBook on diskette or CD, but the most popular method of getting an eBook is to purchase a downloadable file of the eBook (or other reading material) from a Web site (such as Barnes and Noble) to be read from the user's computer or reading device. Generally, an eBook can be downloaded in five minutes or less ......................................................................................................................... .............. Browse by Genre Available eBOOK .............................................................................................................................. Art, Biography, Business, Chick Lit, Children's, Christian, Classics, Comics, Contemporary, CookBOOK, Manga, Memoir, Music, Mystery, Non Fiction, Paranormal, Philosophy, Poetry, Psychology, Religion, Romance, Science, Science Fiction, Self Help, Suspense, Spirituality, Sports, Thriller, Travel, Young Adult, Crime, EBOOK, Fantasy, Fiction, Graphic Novels, Historical Fiction, History, Horror, Humor And Comedy, ......................................................................................................................... ......................................................................................................................... .....BEST SELLER FOR EBOOK RECOMMEND............................................................. ......................................................................................................................... Blowout: Corrupted Democracy, Rogue State Russia, and the Richest, Most Destructive Industry on Earth,-- The Ride of a Lifetime: Lessons Learned from 15 Years as CEO of the Walt Disney Company,-- Call Sign Chaos: Learning to Lead,-- StrengthsFinder 2.0,-- Stillness Is the Key,-- She Said: Breaking the Sexual Harassment Story THE Helped Ignite a Movement,-- Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones,-- Everything Is Figureoutable,-- What It Takes: Lessons in the Pursuit of Excellence,-- Rich Dad Poor Dad: What the Rich Teach Their Kids About Money THE the Poor and Middle Class Do Not!,-- The Total Money Makeover: Classic Edition: A Proven Plan for Financial Fitness,-- Shut Up and Listen!: Hard Business Truths THE Will Help You Succeed, ......................................................................................................................... .........................................................................................................................
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here

SAP Inside Track Walldorf 2018 - Demistify SAP Leonardo Machine Learning Foundation

  1. 1. PUBLIC Abdel Dadouche, SAP Developer Relations Saturday January 13th, 2018 SAP Leonardo Machine Learning Foundation Demystified
  2. 2. 2PUBLIC© 2018 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
  3. 3. 3PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Digitization helps businesses to become insight-driven by … Machine Learning Integration Real-time Analytics Natural Language Mobile Collaboration IoT Microservices Networks APIs connecting People, Things and BusinessesIntelligently Big Data Business Process Innovation Connected Data
  4. 4. 4PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Being Insight-Driven is the path to better decisions Organizations that provide people with the insight they need when they need it to make better decisions, and enable them to act, will disrupt and deliver growth and innovation 4© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ DATA INSIGHT DECISION
  5. 5. 5PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Any Size BIG or little data, and everything in between Any Type (un/semi)structured, streaming, natural language, IoT sensors Any Where Cloud, Local, Public, Private Insight derived from any data 5© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
  6. 6. 6PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Is your organization Insight-Driven? Research shows that insight driven decisions are crucial to digital transformation. “A new kind of company, we call them insight- driven businesses, has formed. They are growing at an average of 30% annually, and are on track to earn $1.8 trillion by 2021.” Forester Research, 2017 Insight-Driven Businesses set the pace for Global Growth
  7. 7. 7PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Digital Innovation System
  8. 8. 8PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Machine Learning enables the intelligent enterprise 76% of the world’s transaction revenue 25 industries 12 lines of business The world’s largest business network Data Science Platform Intelligent Apps & Machine Learning Extensions In-Database Machine Learning Machine Learning Services Re-imagine business processes with digital intelligence Increased customer satisfaction with superior service Increase revenue with superior sales targeting and execution Improving quality time at work for employees Business Outcomes SAP Leonardo Machine Learning Enabling product, process & business model innovations
  9. 9. 9PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Machine learning: One of the key to unlock Digitization ▪ Machines can now see, read, listen, understand, and interact. ▪ Data, small or big, can now be accesses from anywhere, in the cloud, on premise or in hybrid ways ▪ Recent hardware innovation (GPU) has increased processing capabilities and reduced computation time ▪ Deep Learning Algorithms accuracy improvements allows now machine to outperform human in many scenarios ▪ Teaching computers how to perform tasks by learning from data – instead of being explicitly programmed by human ▪ It uses sophisticated algorithms to “learn” from massive volumes of data. ▪ The more data the algorithms can access, the more they can learn. ▪ Real-world machine learning examples are everywhere. Think of personalized product list on Amazon, facial recognition on Facebook, or fastest route suggestions in Google Maps. What is machine learning? Why now?
  10. 10. 10PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Machine Learning Services enabling developers to quickly build intelligence into their applications and business processes. SAP Leonardo Machine Learning Data Science Platform giving data scientists and business analysts tools to build machine learning models Intelligent Applications & Machine Learning Extensions addressing specific business problems by lines of business In-Database Machine Learning giving developers, data scientists, and IT departments the platform needed to build intelligence into their IT landscapes. Developer Data ScientistEnd-User
  11. 11. 11PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Intelligent Apps & Machine Learning Extensions SAP Cash Application Next-generation intelligent invoice matching powered by machine learning • Improves days of sales outstanding • Integrated with SAP S/4HANA for reduced TCO and time to value • Allows shared services to scale as the business grows • Empowers finance to focus on strategic tasks and service quality • Fast: Near real-time • Transparent Interactive Interface • Accurate and scalable to millions of hours • Time-annotated impact indicator API for combining data with CRM, ERP, Web site stats SAP Brand Impact Reimagine marketing and sponsorship engagements • Automatically classifies and finds patterns • Detects at-risk customers • Provides understanding of root causes and timely predictions to act SAP Customer Retention Build customer loyalty through proactive retention • Ability to focus on cases with highest likelihood of fraud and ROI • Integrated with SAP HANA for reduced TCO and time to value • Models update as patterns of fraud evolve • Custom and 3rd-party algorithms to optimize for customer’s business SAP Business Integrity Screening Identify fraud behavior • Opportunity scoring to find the most likely opportunities to close • Key Factor Analysis to explain reasons Cloud for Customer Opportunity Scoring • Improve service response times with automated processing • Integrated with SAP Hybris Service Cloud for reduced time to value • Allows customer service to scale with increased digital interactions SAP Service Ticketing Accelerate customer service in omnichannel front offices Intelligent Apps & ML Extensions Data Science Platform In-Database Machine Learning Machine Learning Services
  12. 12. 12PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Automate the end-to-end process - data preparation, model training and model deployment are fully automated Enable Business Analysts & Citizen Data Scientists to create predictive models through simplified approach Empower the Data Scientist with both automated and advanced algorithms Ensure the output is ready to consume by business users & applications. Wide range of in-database & in application scoring options to enable deployment everywhere In application deployment through Predictive Analytics integrator (PAI) SAP Predictive Analytics Train model Prepare data Apply model Capture feedback Data Manager Automated Modeler Expert Analytics (VCF) Predictive Factory Intelligent Apps & ML Extensions Data Science Platform In-Database Machine Learning Machine Learning Services
  13. 13. 13PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Strategic Data Platform for all SAP Applications Machine Learning Libraries allowing in-memory co-located transactional and analytics processing Predictive Analytics Library ▪ Over 90+ algorithms, covering Classification, Regression, Clustering, Association analysis, Time series forecasting, Link analysis, Recommender systems, Outlier detection, statistical and data pre-processing functions Integration / Extensibility ▪ SAP HANA R integration and Google Tensorflow integration ▪ Streaming Analytics embedded machine learning ▪ Application function library (AFL) SDK embedding custom C++ functions including SAP application-specific function libraries for optimization and demand forecasting in SAP Supply Chain- and SAP Retail Applications SAP HANA In-Database Machine Learning Algorithms And Data Push Machine Learning close to Data Algorithms designed to run in-memory Parallel processing for fastest predictions, forecasts, … Intelligent Apps & ML Extensions Data Science Platform In-Database Machine Learning Machine Learning Services
  14. 14. 14PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Leverage SAP Predictive Analytics automated technology via SAP HANA APL REST based services deployed into your SAP Cloud Platform instances consuming data in your SAP HANA instances Delivers pre-defined “scenario oriented” services for: - Clustering - Forecast - Recommendation - Key Influencers - Outliers - Scoring Equation - What-if Include PAi REST services (Predictive Analytics Application Integrator for Cloud Deployments) PAi enable: ▪ Seamless consumption of models by Business application like S4/HANA via Predictive Scenarios ▪ Business process works out of the box ▪ Model trains automatically on customer data ▪ Customer can manage the lifecycle of the model using SAP Predictive Analytics without development cycles ▪ The customer’s data science team can configure & customise the model using SAP Predictive Analytics SAP Predictive Services Intelligent Apps & ML Extensions Data Science Platform In-Database Machine Learning Machine Learning Services
  15. 15. 15PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Machine Learning Foundation Applications Ready to useFunctional services • Natural language processing • Image and video • Tabular and time series • Speech and audio Business services Ready to integrate Lifecycle management Ready to train SAP Leonardo Machine Learning Foundation Intelligent Apps & ML Extensions Data Science Platform In-Database Machine Learning Machine Learning Services
  16. 16. 16PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Tabular Image Text Business Services GA ▪ Time series change point detection ▪ Multivariate Time Series Forecast ▪ Similarity scoring ▪ Image classification ▪ Image feature extraction ▪ Customizable image classification ▪ Topic detection ▪ Intelligent Financing ▪ Ticket Intelligence – Classification & Recommendation Alpha ▪ Univariate time series forecasting ▪ Product image classification ▪ Optical Character Recognition ▪ Machine translation ▪ Language detection ▪ Product text classification ▪ Document feature extraction Ready-to-use Services • Leverage pre-trained models via simple REST APIs allowing immediate usage • Explore a rich set of ML services as building blocks for creating your own intelligent app Bring your own model • Deploy, publish and run your own “models” as a service • Manage your model’s status, monitor resource consumption and validate quality periodically • Leverage features such as authentication and scalability Customize model • Re-train and tailor services based on your own data with a simple API – no extensive machine learning knowledge required Leonardo Machine Learning Foundation Intelligent Apps & ML Extensions Data Science Platform In-Database Machine Learning Machine Learning Services
  17. 17. 17PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Machine Learning: Portfolio of Capabilities Conversational applications (e.g. Digital Boardroom, CoPilot) Data Preparation Machine Learning Modelling Extensions to existing applications (e.g. SAP Resume Matching) Configurable extensions powered by PAi (e.g. SAP Fraud Management) End to End Automation Operationalization/Production readiness In-Application Deployment Standalone ML Companion applications (e.g. SAP Brand Impact) Text/Document Services (e.g. Sentiment Analysis) Image/Video Services (e.g. Image classification) Conversational AI Services (e.g. Natural Language Understanding) Structured Data Services (e.g. Time Series Analysis) Intelligent Apps & ML Extensions Extended ML Integration (e.g. R, Tensorflow) App Dev Infrastructure (e.g. Java, JavaScript, UI5) Data Exploration Model Storage/Lifecycle ManagementGeospatial (e.g. Earth Observation Analysis) Developer Business Services (e.g. Service Ticket Intelligence) Graph Services (e.g. Recommendation service) Data ScientistEnd-User Data Science Platform In-Database Machine LearningMachine Learning Services Predictive and Machine Learning Functions (e.g. classification, regression, time series forecasting) Data Integration Streaming Analytics Database Development (e.g. SQL, SQLScript, Graph, Spatial)
  18. 18. SAP Leonardo Machine Learning Use Cases & Hands On
  19. 19. 19PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Image-based product identification in customer service Broken product similarity search Image Feature Extraction Similarity Scoring Service Ticket, e-mail incl. image of broken product Product Identification and automatic classification SAP’s Machine Learning automatically classifies product images and enables faster customer interaction with precise information on potential product repair cost or item substitution. SAP Leonardo ML Foundation
  20. 20. Hands on now!!!!
  21. 21. 21PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Learn more Website  sap.com/ML Online Courses  Getting Started with Data Science https://open.sap.com/courses/ds1  Enterprise Machine Learning in a Nutshell https://open.sap.com/courses/ml1  Enterprise Deep Learning with TensorFlow https://open.sap.com/courses/ml2/ Online Tutorials  On the API HUB, with Java or SAPUI5 Social Media  @SAPLeonardo on Twitter Co-innovate  ml@sap.com We’re hiring  icn.sap.com/jobs.html
  22. 22. Abdel Dadouche, SAP Developer Relations abdel.dadouche@sap.com @adadouche Questions? If you have need any information on the SAP CodeJam program, please contact us at sapcodejam@sap.com developers.sap.com Visit the SAP Developer Center for free tools and resources: SAP Developers on YouTube SAP Developers on Google+ Follow us: @sapdevs on Twitter SAP Developers on Facebook sap.github.io on GitHub

×