ScaleUp:AI

Next month, I'll be interviewing Andrew Ng — the famed Stanford ML professor, co-founder of Coursera and executive chairman of LandingAI. Got questions for him? I suspect pretty much everyone working in data science / machine learning knows who Andrew is (as well as many folks outside of the field!), but here's more on his inimitable accomplishments: ? As director of Stanford University's AI Lab, his research group played a key role in the development of deep learning (which led to him to founding the influential Google Brain team) as well as educating millions on machine learning (and leading to him co-founding Coursera). ? Is Managing General Partner of AI Fund, a world-leading AI venture studio. ? Was CEO (is now Executive Chairman) of LandingAI, a computer-vision platform that specializes in domain-specific Large Vision Models (analogous to LLMs for language). ? Founded DeepLearning.AI, which provides excellent technical training on ML, deep learning (of course!), generative AI and many other associated subjects. ? Was co-CEO (as well as co-founder and chairman) of Coursera, which brought online learning from 300 leading universities to over 100 million students. ? Served as Chief Scientist at Baidu, Inc. This photo is from ScaleUp:AI 2022, which is particularly relevant because I'll be interviewing Andrew on November 12th at ScaleUp:AI 2024. This slickly run conference is put on by Insight Partners in New York but can also be enjoyed virtually from anywhere. It's a great conference for anyone who is (or would like to) scale up A.I. with a startup or within an enterprise. The "Super Data Science Podcast with Jon Krohn" is available on all major podcasting platforms and a video version is on YouTube. I expect to air Andrew's interview as an episode, but given that it's more than a month out, I haven't yet firmed up an episode number or date. Stay tuned for more details. (Also, if you'd like to attend ScaleUp:AI this year, you can get 35% off with my promo code JonKrohn35. See below for quick access to registration ??) #superdatascience #datascience #machinelearning #ai #scaleupai

“Look for tools that don't require net new behavior,” says GitHub's Kyle Daigle. "I'm going to keep harping on the in-the-flow things. I think that's the secret to successful AI rollouts." In our next ScaleUp:AI session recap, Kyle Daigle and Nebula.io’s Jon Krohn talk about operationalizing AI to improve workforce productivity. These experts explore strategies for ensuring that AI improves developer satisfaction — instead of disrupting workflows — and how the AI revolution could affect staffing and skills building. View the recap in the link in the comments, and don’t forget to register for this year’s event on November 12th: https://lnkd.in/eTt4sT48

"We want to make sure we always are ahead of fraud. It's a cat and mouse game,” says Hui Wang. In our next ScaleUp:AI session recap, PayPal’s Hui Wang, Abnormal Security’s Dan Shiebler, Citi’s Sirisha Kadamalakalva, and J.P. Morgan’s Charles Phiri, PhD, CITP — moderated by Managing Director Hilary Gosher —? discuss how AI can help enterprises combat the risk of bad actors like never before. "We need to join forces with what's happening individually so that collectively, we are much better,” says Kadamalakalva. View the session recap in the link in the comments, and don’t forget to register for this year’s event on November 12th: https://lnkd.in/eTt4sT48

“I think open models have been why this field has progressed so fast,” says Naveen Rao. Databricks’ Naveen Rao, Workato’s Markus Zirn, and Optimizely’s Alexander Atzberger — moderated by LinkedIn’s Tanya Dua — explore how some of the biggest organizations use AI to make smarter decisions. They touch on: ?? How AI will revolutionize enterprise operational efficiency ?? The importance of open source models ?? How to measure the success of AI deployment View the session recap in the link in the comments, and don’t forget to register for this year’s event on November 12th: https://lnkd.in/eTt4sT48

?? New speakers unlocked ?? See some of ScaleUp:AI's featured speakers below — including Mayo Clinic's Cris Ross, Army Futures Command's Gen. James Rainey, and Databricks' Jon Frankle — and don't forget to register for this year's event: https://lnkd.in/eTt4sT48

“You need to inject humans into this process as well… without constant human involvement, these models tend to collapse.” Amazon‘s Vaughn Schermerhorn, IBM‘s Rob Thomas, and NVIDIA‘s Shanker Trivedi — moderated by NYSE’s Chuck Adkins — discuss where to start for the fastest ROI and how to measure meaningful results. See how enterprise-level AI is: ?? Trending toward domain specificity ?? Solving customer problems at scale ?? Bringing challenges around sensitive data to light View the session recap in the link in the comments, and don’t forget to register for this year’s event on November 12th: https://lnkd.in/eTt4sT48

The ScaleUp:AI '24 agenda has been announced! See some of the feature sessions below, and don't forget to register for this year's event: https://lnkd.in/eTt4sT48

Founders, engineers, PMs, and builders — we'd love to hear from you! ? Are you building genAI- and LLM-powered applications and products? We want to know about your experience with the infrastructure and developer tools available to help you build and run these products. Take Insight’s 2024 AI Developer Tools & Infrastructure Survey in just a few minutes, and let us know. All respondents will receive a free virtual ticket to Insight Partners’ ScaleUp:AI ‘24, and look out for results and key takeaways on Insight’s blog in the coming weeks. Start the survey now: https://lnkd.in/ejbg3fMq

"For the last history of computers, we had to all speak machine...this is the first time that you have to learn nothing. You are speaking to the machine in human language and [responding] in human language, which makes the barrier just drop to ground zero,” says Microsoft’s Lila Tretikov. Managing Director Praveen Akkiraju and Lila Tretikov bring us to the frontlines of the AI revolution and discuss: ?? Greater technological accessibility than ever before ?? Tremendous value in infrastructure maintenance ?? Potential solutions for societal challenges like climate change ?? Newfound responsibilities surrounding ethics and diversity and inclusion View the session recap in the link in the comments, and don’t forget to register for this year’s event on November 12th: https://lnkd.in/eTt4sT48

See this first look at ScaleUp:AI '24's sessions, and register for this year's event here: https://lnkd.in/eTt4sT48