SAP TechEd 2026 — Visual Highlights A curated collection of key slides and announcements from SAP TechEd 2026, covering Joule Work, AI Agents, n8n integration, MCP Gateway, Knowledge Graphs, and the future of enterprise AI. Joule Work: The New AI-Native Workspace Joule Work introduces 5 core modules: Conversations, Discover, Spaces, Jobs, and Develop (Joule Studio). It’s dynamic, proactive, agentic, intent-based, and omnipresent — the future of enterprise work. Joule Work — 5 Modules Future of…
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Brand Stories That Changed Business: 24 Real Cases of Corporate Evolution
24 real brand stories from @michaelburtov’s Instagram: how Xerox, Kodak, Sears, Apple, Airbnb, Stripe and others faced disruption. Analysis of 70 video transcripts reveals 5 key themes of corporate evolution.
Read MoreProduct Innovation Gets the Press, Business Model Innovation Gets the Profits
Slide 1 — Title: “Product vs. Business Model Innovation: Where Does Innovation Live?” Slide 2 — Agenda: Five sections — The Big Insight, Case Studies, Key Distinction, Defensibility Test, Takeaways Slide 3 — The Big Insight: Product innovation gets the press, business model innovation gets the profits. The foundational product is rarely invented by the winner — the defensible “machine” (distribution, network effects, scale) is what captures value. Slide 4 — Google: Didn’t invent search….
Read MoreThe Loud Minority: How 0.039% of Humanity Is Reshaping the World
📊 Download the Full Slide Deck (NotebookLM AI-Generated) 📄 View Full Slides | 📥 Download PDF (18.6 MB) 🎬 The Instagram Reel That Started This Research This post is a fact-check and deep research response to a viral Instagram reel by @_jackwilliam claiming that “85%+ of humans don’t use AI” and “only 0.04% run autonomous agents.” 👉 Watch the Original Reel on Instagram The Loud Minority: How 0.039% of Humanity Is Reshaping the World A…
Read MoreSAP Knowledge Graph: Architecture and Business AI Integration
SAP Knowledge Graph Deep Research Report — AI-native North Star Architecture & The Autonomous Enterprise | September 2026 963 Source URLs 6 Research Waves 287 KB Raw Research 25+ Named Customers 452K ABAP Tables Mapped 🏛️ SAP AI-native North Star Architecture Four Reimagined Layers — The Cognitive Core 🎯 User Experience Intent-driven interaction via Joule • No more navigating apps — state what you need • Joule Work with agentic harness ↕ ⚙️ Process Layer…
Read MoreArchitecting AI Agents on SAP BTP – Design Patterns
Jay Xiong (SAP BTP Adoption & Consumption Center) tarafından hazırlanan bu kapsamlı teknik doküman, SAP Business Technology Platform üzerinde AI Agent mimarisi tasarlamak isteyen herkes için vazgeçilmez bir kaynak. 🤖 Neden Bu Dokümanı Okumalısınız? “Bir agent yapalım!” heyecanı ile başlayan projelerin çoğu, gerçek iş etkisi yaratamayan bir “agent hayvanat bahçesi”ne dönüşüyor. Bu doküman tam da bu soruna çözüm sunuyor: Doğru mimariyi, doğru pattern ile, doğru ölçekte kurmak. 📋 Dokümanın Kapsadığı Konular 🎯 Kimlere Hitap Ediyor?…
Read MoreArchitecting the Autonomous Enterprise: SAP AI Transformation Roadmap
The provided text outlines a strategic framework for evolving SAP S/4HANA from a traditional record-keeping system into an Autonomous Enterprise powered by artificial intelligence. This transformation relies on a unified data foundation via the SAP Business Data Cloud and a semantic architecture that uses knowledge graphs to provide business context. To ensure operational reliability, the roadmap emphasizes procedural memory through SAP Signavio and rigorous agentic quality engineering to mitigate risks like AI hallucinations. Developers can…
Read MoreReport: Meta Harness – Why we need it & Players available
What is a Meta-Harness & Why Do We Need It?What it is: A meta-harness is an orchestration and control layer that sits above individual AI agents to make them interoperable components of a unified system. It focuses on optimizing the executable support code around agent workflows—such as instruction files, setup flows, and validation scripts—rather than just the prompt. Why we need it:Harness Failures: Many agent failures stem directly from the harness, including weak repository instructions,…
Read MoreDatabricks Genie Ontology
The provided sources detail Databricks Genie Ontology, an automated, self-evolving context layer introduced in June 2026 to enhance enterprise AI accuracy. Built upon Unity Catalog, this system generates a “living knowledge graph” by extracting business logic from tables, dashboards, and connected applications. A core innovation is OntoRank, a PageRank-inspired algorithm that weights data definitions based on factors like author authority and usage frequency. This architectural shift significantly improves AI performance, raising text-to-SQL accuracy from roughly 50% to 84.5% on the first attempt. Unlike traditional, labor-intensive ontologies, this…
Read MoreThe Autonomous Enterprise Architecture for SAP and NemoClaw
These reports detail a massive shift in the enterprise AI landscape during mid-2026, centered on the collaboration between NVIDIA, SAP, and OpenAI. NVIDIA has introduced NemoClaw and OpenShell as a critical security and sandboxing layer for OpenClaw, the world’s most popular open-source AI agent platform. Simultaneously, SAP has integrated this technology into its “Autonomous Enterprise” vision, embedding hundreds of specialized AI agents into its core business software while blocking unmanaged agent access. OpenAI has expanded its enterprise footprint by launching the GPT-5.5 model on multi-cloud…
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