List of Interesting ideas and Views:
- THE AGENTIC REVOLUTION: 12 Months That Rewrote the Rules of Business
- Report: Meta Harness – Why we need it & Players available
- Databricks Genie Ontology
- The Autonomous Enterprise Architecture for SAP and NemoClaw
- SAP Joule Studio 2.0 & SAP Business AI Platform The technical blueprint
- The Future of AI Agents – 8 Key Predictions
- Design of my Personal Agent – OpenClaw
- Internet Of Agents (IoA)
- SAP TechEd 2025 session on “Extending SAP Joule with Joule Studio”
- What should be next for AI in Enterprise level: Hear Sam Altman and Ali Ghodsi talk about it.
- Who are the winners of last 24 months for investors? Nvidia, Bitcoin, Gold, US30…
- Joule Analytical Insights & “Just Ask” Best Practices
- Michael Saylor’s Prophecy About Crypto Currency
- SAP Rise & Grow and AI Platform Technologies – Some ideas
- Statistical Consequences of Fat Tails: Real World Preasymptotics
THE AGENTIC REVOLUTION: 12 Months That Rewrote the Rules of Business
📊 Slide Deck: The Autonomous Enterprise 📄 View Slide Deck (PDF) | 📥 Download Black & white presentation covering all 11 parts of this research with hyperlinked references. 741+ sources. THE AGENTIC REVOLUTION: 12 Months That Rewrote the Rules of Business A Deep Research Paper on the State of AI — August 2025 to August 2026 Author: Deep Tech Research BriefDate: August 15, 2026Sources: 441 across 6 research wavesAudience: Technology Entrepreneurs, Investors, and Executive...
Report: 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,...
Databricks 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...
The 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...