“Without friends the world is but a wilderness.” So here's to Alan and Ray, friends I admire and appreciate. Great discussions tonight on the state of cybersecurity, AI, enterprise governance, deep fakes, startups and a million other issues.
ENTERPRISE AI
-
SAP Databricks Now GA: Unlocking Data Intelligence and AI
By
–
It’s official: @SAP Databricks is now GA!
SAP customers can now unlock data intelligence across their SAP data and external sources—enabling improved governance, advanced analytics, and AI use cases. Learn more: https://
dbricks.co/4d1tmrY -
Qwen3 32B Now Available on SambaNova Cloud
By
–
📣 Announcing @Alibaba_Qwen's Qwen3 32B now on SambaNova Cloud!
— SambaNova (@SambaNovaAI) 1 mai 2025
🐻 Superior multilingual capabilities across 100+ languages
🐻 Advanced thinking & reasoning for complex agent apps
🐻 One of the best open source models for MCP
Check it out now on ➡️ https://t.co/GgqtX917iq pic.twitter.com/IlL1WRsmGNAnnouncing @Alibaba_Qwen
's Qwen3 32B now on SambaNova Cloud! Superior multilingual capabilities across 100+ languages Advanced thinking & reasoning for complex agent apps One of the best open source models for MCP Check it out now on https://
cloud.sambanova.ai -
NVIDIA Knowledge25: Agentic AI for Enterprise Productivity
By
–
Join us at #Knowledge25 to explore how enterprises are leveraging #agenticAI to boost productivity, personalize services, and unlock enterprise-wide efficiency. Register now for NVIDIA expert sessions https://
nvda.ws/3RBd8fk -
Zuckerberg and Nadella on AI-Driven Development and Agent Infrastructure
By
–
Traduis en 🇫🇷.
— VISION IA (@vision_ia) 30 avril 2025
Mark Zuckerberg affirme que la moitié du développement de Llama sera bientôt réalisée par l'IA, et non par des personnes.
Satya Nadella dit que nous devrons réimaginer l'infrastructure utilisée par les agents d'IA – des environnements de test aux dépôts de code.… pic.twitter.com/tk44iHLPx4Traduis en .
Mark Zuckerberg affirme que la moitié du développement de Llama sera bientôt réalisée par l'IA, et non par des personnes. Satya Nadella dit que nous devrons réimaginer l'infrastructure utilisée par les agents d'IA – des environnements de test aux dépôts de code. -
AI Productivity Paradox: Breaking Work Into Tasks for Measurable ROI
By
–
Looking for ways out of the productivity paradox, in which the full potential of AI capabilities aren’t realized, at least right away. It can take years to figure out how to harness new technologies, but AI is under particular pressure to deliver now. @Benioff @erikbryn Marc Benioff (@Benioff) “Ryan Teeples, chief technology officer of 1-800Accountant, agrees that “breaking work into AI-enabled tasks and aligning them to KPIs not only drives measurable ROI, it also creates a better customer experience by surfacing critical information faster than a human ever could. The company uses an AI agent connected to curated data sources to address 65% of customer inquiries, with 30% arranging a call with a human. (The remaining 5% drop out of the inquiry process for various reasons.) The company uses Salesforce’s Agentforce to handle customer inquiries and its Einstein platform for orchestration across 1-800Accountant’s back end.” wsj.com/articles/companies-a… — https://nitter.net/Benioff/status/1916214140206780870#m
→ View original post on X — @steve_rosenbush, 2025-04-30 21:03 UTC
-
Task-Based AI Analysis to Measure Productivity Impact
By
–
To avoid the productivity paradox @erikbryn advocates for a task-based analysis, in which a company is broken into fine-grained tasks or “atomic units of work” that are evaluated for potential AI assistance. As AI is applied, the results are measured against KPIs. @workhelix Erik Brynjolfsson (@erikbryn) Here's a terrific article by @Steve_Rosenbush in the @WSJ quoting me and others about how to address the gap between AI's amazing capabilities and the frustration many businesses have in delivering value. — https://nitter.net/erikbryn/status/1916961157375791495#m
→ View original post on X — @steve_rosenbush, 2025-04-30 20:57 UTC
-
Human Factors Block Deep AI Integration in Teams
By
–
What really stops teams from deeply integrating AI? It's less about the AI's capability and more about human and organizational factors: 1. Time/space: rethinking workflows feels impossible when you're buried in the current ones. Biggest blocker. Give people time to think.
-
Yum! Brands Partners with NVIDIA to Deploy AI in 500 Restaurants
By
–
@yumbrands is embracing AI to transform the restaurant experience. At #GTC25, we announced a strategic partnership, with a goal of deploying AI solutions in 500 restaurants. Joe Park joins the NVIDIA AI Podcast to share more. https://
nvda.ws/3YXk6iC -
AI Model Instability Risks for Production Deployments
By
–
This is a huge vulnerability for businesses deploying state-of-the-art AI models (like 4o) in production. As I said a month ago, these model changes can be subtle or dramatic. Even small changes can wreck a workflow and impact customer experience and trust. Basically: you're