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Awesome times at NVIDIA GTC !

AI is here to help your people, whether you like it or not. It's easy to criticize GenAI for not being perfect, but dismissing it entirely is missing the bigger picture. AI is increasingly being used to bring empathy into business. Take some recent examples: Experiments have

Bryan Goodman, Ford's director of AI, told WSJ he’s pushing forward AI use cases to help design & engineer new cars as quickly as its competitors. He specifically mentioned that agents have the ability to help bring new car models to market faster. Great example of the

Significant progress in AI and Robotics this week. So, I summarized everything from OpenAI, Google, Scout AI, Microsoft, xAI, Hugging Face, Kling AI, Anthropic, ByteDance, and more. Here's everything you need to know and how to make sense out of it:

Very tight control over AI “memory” is really critical to productive AI use. If you don’t know what is in the context window, the AI responses can be contaminated in ways that make it more sycophantic or biased, or lead to sandbagging. It also can make it hard to share prompts.

AI isn't just a tool -- it’s a teammate. When AI is integrated into workflows, it accelerates productivity. Take supplier negotiations, for example: AI didn’t replace people. It made the process more efficient by aligning with the team's needs. The real win? Training AI

YES

The reason why going AI-first as a company is so important now is best captured by Paul Graham's startup advice of "live in the future, then build what's missing." AI-first companies will see new problems to solve soonest, and that flywheel will only compound over time.

We’re excited to join the @opensearchproj Software Foundation! 🤝🔍 OpenSearch is the future of enterprise search—and we’re proud to help drive open innovation alongside the community. 🚀 Learn more: dtsx.io/3EKul3a

I'll be speaking at TiEcon 2024 this afternoon (1:30pm PT) on the grand stage alongside Beerud Sheth and Jay Vijayan, moderated by Anita Manwani. Looking forward to an engaging discussion about the journey to building a unicorn company, how AI is driving transformation, and more. Will

AI is getting smarter and cheaper. Three ways we’ve seen this evolve: 1⃣Training bigger models = exponential cost 2⃣Letting it think before responding (e.g. OpenAI o1, DeepSeek R1) 3⃣Letting it use multiple turns of thinking (i.e. agents) What this means for enterprises: 🔹

AI’s ability to make tasks not just cheaper, but also faster, is underrated in its importance in creating business value. For the task of writing code, AI is a game-changer. It takes so much less effort — and is so much cheaper — to write software with AI assistance than

We’ve spent over a decade modernizing brownfield applications on the cloud - and we’re still not done. In the AI wave, you'll have to rebuild these apps from the ground up. But what you’ll get is cheaper, faster & smarter apps than ever before.

The secret to accurate, lightweight AI agents? 🧠 Great API design. Watch more from edanuff and jhingran → dtsx.io/3FirKhc

AI in the enterprise can’t be optional. It has to be a mandate. Set a goal: 50% of your committed code should be AI-generated. Worried your engineers will game the system? Good. That means they’re actually using it.

Coding isn’t dying... but it is changing. Software creation is no longer limited to "engineers," and the biggest challenge won't be building. It'll be filtering through the noise to find what's useful, scalable, and worth your time.

See you there ? :)