{{ First Name | Leader}}, welcome back. Today’s updates:

  • Build smarter, faster, and more securely with webAI. Own Your Intelligence*

  • Databricks buys Neon to boost AI database automation.

  • G42 and Cisco partner to expand global AI infrastructure.

  • OpenAI launches HealthBench to test AI in real medicine.

  • Practical tools + must-read resources. Dive in ⬇️

In Partnership

Other AI companies are focused on building the biggest model. We’re focused on building the best future.

WebAI is an end-to-end private AI platform. Our customers build, scale, and deploy specialized models on their own infrastructure—not someone else’s cloud—for sub-second speed, 60% lower costs, and airtight control of their data. 

See why global leaders in health tech, aviation, finserv, and manufacturing are switching to private AI in our new executive guide.

NEWS UPDATES

Databricks Buys Neon to Speed Up AI Apps

Databricks is buying Neon, a startup that makes a cloud-based Postgres database, for $1B. Neon’s system builds and manages databases automatically - 80% are created by AI agents, not people. Databricks will use this to run AI agents faster and cheaper. Running AI at scale needs faster, flexible data tools - this deal helps Databricks offer that.

G42 and Cisco Team Up on AI Infrastructure

G42 and Cisco signed a new agreement to develop AI infrastructure and cybersecurity tools across sectors. The deal combines Cisco’s secure AI systems with G42’s regional networks and growing global reach. They will build reference architectures and explore joint go-to-market plans. Global tech firms are forming alliances to scale AI faster and more securely.

OpenAI Launches Real-World AI Health Test

OpenAI released HealthBench, a new open-source test that checks how well AI models handle real medical conversations. It uses 5,000 cases graded by doctors across 60 countries. The goal is to measure safety and accuracy in everyday use, not exam-style questions. HealthBench gives hospitals and developers a clearer way to check if AI is ready for clinical use.

BEST LINKS

Productivity Tools

💻 AI Meeting Notes by Notion - It is an AI-powered workspace that captures meetings, streamlines work, and reimagines productivity.

📰 Syft AI - It gives personalized, no-fluff news summaries from trusted sources, tailored to your chosen topics and language.

🚀 AppSheet - Helps you build powerful applications and automations that boost productivity, and mainly no coding is required.

🔍 Ellipsis - An AI-powered code review and bug-fixing tool that helps developers improve code quality and productivity.

Get featured tomorrow: how do you use AI for business / personally? Interesting stories will be shared with 100K curious readers.

Useful Resources

  • Let OpenAI's ChatGPT automate your complex workflows with ease (link)

  • Meet Trae AI: A free AI coding agent with model context protocol (MCP) (link)

  • Google's Veo 2 AI text-to-video generator is now available - how to try it (link)

  • Introducing LinkedIn’s new AI search tool that lets you find your ideal job (link)

  • Google DeepMind on what’s next for Gemini, AGI, and AI self-awareness (link)

  • Here is how reddit's AI answers are about to get faster and more accurate (link)

  • OpenAI will become a Public Benefit Corporation - here's what that means (link)

  • OpenAI’s upgraded o3 model can use images when reasoning; here's how (link)

  • Why smart businesses use AI to offload tasks and supercharge their teams (link

  • MCP and the innovation paradox: Why open standards will save AI from itself (link)

P.S. You can still get the Prompting Playbook (free for you)

STRATEGIC AI DECISION

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MARKET

💰 Funding

💼 Who’s Hiring in AI

  • Federal geospatial business development lead at NVIDIA (US)

  • AI/Machine Learning engineer at Oddball (Remote)

🐦 Massive MCP Release:

PROMPT TUTORIAL

Automating Decision Making

I am seeking assistance with automating decision-making processes in my company. I would like you to provide a comprehensive outline and guide me through the necessary steps and questions I need to ask myself to achieve this.

Provide a detailed outline based on these points and any additional insights that would be helpful for successfully automating decision-making in my company.

Stay curious, {{ First Name | leaders}}!

PS. If you missed yesterday’s issue, you can find it here.

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