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Ai and data migration as a service subhash bhat cwin18-india
1.
CW IN CAPGEMINI WEEK OF INNOVATION NETWORKS Accelerating SAP
Transformations with AI and Data migration as a Service Prasad Sawant & Subhash Mohan Bhat, Mumbai, 26th Sep 2018
2.
CW IN CAPGEMINI WEEK OF INNOVATION NETWORKS 1. Artificial
Intelligence
3.
3 Topics Driving AMS transformation
(AI) IntelliMap Demo of Intellimap 01 02 03 Foundation for Data migration as a service04 SmartUDS05 06 Demo of SmartUDS
4.
Presentation Title |
Author | Date © 2018 Capgemini. All rights reserved. 4 Intellimap – An Overview ▪ Visibility to hidden insights for service requests & incident based on problem description ▪ Increased coverage of automation via identification of additional automation opportunities based on NLP ▪ Provides additional data points on symptom and catalog item mapping for each ticket ▪ Near zero manual effort and higher performance for big volumes of data BenefitsFeatures ▪ Trained intelligent model for mapping of service request, incidents to existing BOTs (SR & Incident) and L1.5 Catalog ▪ Usage of NLP techniques like stemming & lemmatization and machine learning algorithm ▪ Multi-lingual support for FR, DE, ES, IT, NL ▪ Continuous improvement of mapping model via seamless re-training with feedback loop ▪ Intuitive user interface for data uploads and O/P visualization
5.
Presentation Title |
Author | Date © 2018 Capgemini. All rights reserved. 5 Solution Architecture Presentation Tier ASP .NET MVC Python Service REST Web API SSO Pre-processor Utility Classes Exception Logging Windows Service Web Utilities Database Data Storage Browser Business Tier Data Access Tier Database Access Component Microsoft Enterprise Library Filtering NLP Processing ML Algorithm SVM XGB Naive Bayes K- means Core Processor Model Three Tier architecture Cognition achieved thro’ AI algorithms with Machine Learning H/W : One VM on CG n/w with minimum configuration of Windows 2008 Server R2, 16GB RAM, Quad Core processor, 300GB HDD S/W : Python 3.6, SQL Server 2008 R2 or above, IIS 7 or above, .Net Framework 4 or above, JDK 1.8 and few additional libraries of Python
6.
Presentation Title |
Author | Date © 2018 Capgemini. All rights reserved. 6 Smart UDS – An Overview • Excel based manual data harmonization and enrichment • Cumbersome process for business users • Additional efforts on manual reporting , interactions with business users ▪ Web based application, no installation required ▪ Single point for all reports ▪ Only one access required to access application ▪ Various validation reports, post & pre upload reports can be published to business ▪ Data Enrichment & Harmonization ▪ Data Import & Export ▪ Security & Authorization ▪ Bringing transparency and enhancing governance ▪ The solution can also be leveraged in carve out projects ▪ Parallel access permitted ▪ For SAP and Non SAP Projects Industrialization of Data Migration processes Streamlined Reporting Compression of E2E data migration lifecycle Challenges Features Benefits AddressedbySmartUDSwith Generating
7.
Presentation Title |
Author | Date © 2018 Capgemini. All rights reserved. 7 Smart UDS – Solution Architecture Admin Users (Developer/Owner/End-user) Project Project Owner Data Reports User Data Sheet Upload data Operations Module Level access Developers (Create/ Configure) Parallel User Single User Download Archive Configure Edit Dedupe Create Edit Archive approval End-user Filter/Searching/ Sorting • Admin Activity ▪ Project Management ▪ User Management ▪ Report Governance • Data Reports ▪ Standard report ▪ Adhoc report • Data Enrichment & Harmonization ▪ Data creation ▪ Data modification ▪ Data selection (De- duplication) • Security & Authorization ▪ Role based access ▪ Project level access ▪ Module level access ▪ Multi User access (Serial & Parallel) • Data Import & Export ▪ Download File (can be disabled for compliance purpose) ▪ Bulk Upload • Additional features ▪ Filters ▪ Searching ▪ Sorting ETL Tool TARGET Database Smart UDS Tables Configuration Data Smart UDS Web UI Admin Developer Business View Data Reports Modify Data Manual Data DM Intermediate table1 DM Intermediate table2 Tables Dump System DATA LOAD Legacy Smart UDS integration Prerequisite • Database : Data reports , Configuration tables • Application server : Install SmartUDS Packages • Tomcat : Publish application Platform Scenario
8.
Presentation Title |
Author | Date © 2018 Capgemini. All rights reserved. This message contains information that may be privileged or confidential and is the property of the Capgemini Group. Copyright © 2018 Capgemini. All rights reserved. A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in over 40 countries. The Group reported 2017 global revenues of EUR 12.8 billion. About Capgemini Learn more about us at www.capgemini.com
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