Data & Analytics Reading List - SAP Special Edition
"Reading is an exercise in empathy; an exercise in walking in someone else’s shoes for a while." – Malorie Blackman
This month I focus on blogs from the SAP Community. Let’s walk in someone else’s shoes. Day by day:
01.06. - CI/CD with SAP AI Core
02.06. - GenAI Agentic Workflows with the Supply Chain Advisor
03.06. - Hyperautomated Companies: Customers who have successfully implemented Enterprise Automation
04.06. - A Comprehensive Overview of Intelligent Scenario Lifecycle Management (ISLM)
05.06. - How SAP’s Generative AI Hub facilitates embedded, trustworthy, and reliable AI
06.06. - The Power Duo: SAP HANA Cloud and SAP Datasphere Enabling IDA & Gen-AI Driven Solutions
07.06. - Expert Systems in AI: Bridging Human Expertise and Machine Intelligence
08.06. - SAP Analytics Cloud: Custom Widget & Widget Add-Ons Samples Preview
09.06. - RAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAP
10.06. - Transformation Flow partition generation with SAP Datasphere CLI
11.06. - Towards Data-Driven Process Modeling – Enhanced BPMN miner at SAP Signavio Process Intelligence
12.06. - How SAP's Generative AI Architecture Redefines Business Applications
13.06. - Boosting Benchmarking for Reliable Business AI
14.06. - Unlocking the Potential of Business AI: Engineering Best Practices
15.06. - Exploring ML Explainability in SAP HANA PAL – Classification and Regression
16.06. - Tracking HANA Machine Learning experiments with MLflow: A conceptual guide for MLOps
17.06. - Tracking HANA Machine Learning experiments with MLflow: A technical Deep Dive
18.06. - What is User Research at SAP and How to Shape Your Product?
19.06. - Digital Twins of an Organization: why worth it and why now
20.06. - Embedding Business Context with the SAP HANA Cloud, Vector Engine
21.06. - How to create LLM based Chatbot for SAP HANA Cloud using RAG Application
22.06. - SAP Datasphere + SAP S/4HANA: Your Guide to Seamless Data Integration
23.06. - Exploring Integration Options in SAP Datasphere with the focus on using SAP extractors
24.06. - Exploring Integration Options in SAP Datasphere with the focus on using SAP extractors - Part II
25.06. - Exploring GraphQL and REST for SAP Developers
26.06. - Generate prediction with external engines using SAC Data Export and Import Services
27.06. - Consuming Data Exposed by SAP Datasphere via the OData API
28.06. - Integrating SAP S/4HANA with Kafka via SAP Advanced Event Mesh: Part1 – Outbound connection
29.06. - Dynamically Reading Blobs from Azure Blob Storage to CPI