Amazing achievements at MSK... Wall clock to discovery cut x 30, PHD finished a year early, #4 on the IO500. Vitally important goal to end cancer forever. Am incredibly proud to work for WEKA

Fantastic CEO, great company. Happy to be in a privately owned company. So honored to work and support these developers and engineers as a Sys Eng.. I am DDN.

If AI is reducing medical research time by orders of magnitude, shouldn’t FDA approval also be declining by orders of magnitude? Trump appointed Dr. Oz to CMS to decide questions like these. I hope the sick get access to the help. They need in a timely way.

I expect the Chinese government can get any data it wants from Chinese businesses. Add that to surveillance data and other government data, the world's public data, and any data they can steal. China seems well placed to get data from Russia. If data is the bottleneck for Chinese AI, it seems like it could be a wider bottleneck than anywhere else. Just my inexpert musings, and I'll let others describe the likely result if I'm right.

quality of storage is important....rag should focused more than pre-trained model

Untether AI is promising

First time MSFT invite you guys, finally..!

I didn’t expect to see customer’s pushing 10EB of storage for AI in 2024…

Nice Job Chris! Great Cause, Great Event! Looking forward to the next one

Great discussion! As companies adopt agentic AI, I expect they will embrace microservices that need to exchange data on a real-time basis. This also might create opportunities for Bufstream.

"avoid it" yeah right

Will it ever be possible to separate intelligence from data, and would that be useful?

Thanks for your work. Like your breaking analysis! Very exciting about Snow earnings and outlook. Very big announcment in their Keynote on dev day. Thanks guys!

Hit a wall..... AI boom not even started!

Cancelled. Did not know their own employee was abducted and they have stayed silent. No more Amazon.

Akamai is still used enterprise everywhere

❤

🙌🙌🙌

Go Stevan and the Podman Desktop team! 🦭

Great!

Great!

Bravo 👏👏

Super interesting! Impressive work by Coreweave

❤

These are not interviews, these are fluff questions where interviewers have no clue about tech or market. And they charge $20,000 per interview. Why people pay?

Thank you :)

My pleasure 😊😉🤣

CHRISTUS health is a great place to work. 😊

We did it Boyz 💪

We did it Boyz 💪

In many cases, you can get an instant ROI by making a no-code chatbot like GPTs using a website or a collection of url's or documents. Small quantized models can run on consumer PC's and do useful work.

Does improving data quality just need internal change at an enterprise or will some SaaS businesses get a significant increase in revenue from it?

Ok last week it was booming. Now it's hitting a wall. I don't know what to make of it 😂😂.

Love the Cube. Always such quality info and intel!

Inconsistency: I thought AI was supposed to write its own software?!

as you know

Dave, George, Thanks for a VERY thought-provoking video. Two comments: 1) On the "race to the bottom” in foundation models, my bet is that you are correct, this is unsustainable. Why do investments continue? Because investors believe that GenAI will become a winner-take-all market (like the markets the Magnificent 7 now enjoy) they are willing to throw investment dollars at AI in its early stage in hopes of riding on the eventual winner. 2) Your discussion of Enterprise Agentic AI was fascinating. This is something that we really can’t do with present day software tech (my opinion). Not just Jamie Dimon and JP Morgan Chase, but many, many large enterprises are hosting vast amounts of proprietary data and hidden knowledge that they cannot effectively exploit. George’s agent example was cool, but it seems to me that the most important aspect is to get the human entirely OUT of the loop. This reminds me of the early days of data centers when growth was exponential. Admins had a mantra to “automate absolutely everything” because any manual intervention in a work process would not scale, and they were doubling in size every few months. Again, thanks!

Congratulations Vamsi 👍😊

OptimusZ7 blockchain layer 1 is new but impressive. Anyone else following it?

🥾 🥾 eu vi mesmo Zerão

Great interview! Brian and Arcee are awesome :)

6:14 That's great! Every tech event should focus on first-person customer stories throughout the event. The real-world uses are always the most interesting and relevant for the audience and make the session more engaging.

How does one see the title on these? I open it. Click more info. Is KZbin / Google really that, deeply, wholly inept?

Awesome presentation! 👏

How does high touch different from other data integration and ETL vendors ?

AI, without the I, is an assembly of plausible ideas about what real AI would be like. The assemblage of plausible ideas is not complete, the ideas don't always link together to make a greater whole. I have seen a young child reproduce a behavior he saw, in an attempt to understand it, thats what we are doing with AI.

Thanks for sharing - very well articulated challenges of building up to genetic systems and good insight into how we will address those challenges. Much appreciated

I think that enterprises with proprietary data are a much safer bet than anyone building foundation models and competing on price, trying to gain or keep market share. Still, the foundation models could be very useful at some particular high level of intelligence, like if they can help humans to make even smarter models, well enough to get a feedback loop going. Also, there might be demarcation like how supercomputers are used for complex simulations, while laptops and servers are used for different kinds of application. I'm also thinking, sometimes a business could use strategic advice, that wouldn't require a deep knowledge of the business processes, and maybe massive AI models will be useful for that someday. Maybe. I'm just a small investor trying to keep up with digital tech, so not expert on this, and Dave might have been hoping for better informed answers to his question near the end.

Spot on David. Data silos and data hygiene are the biggest challenge to the progress of Enterprise Generative AI

حل😁😁🤣🤣