Webinar Key Takeaways: AI, ML and Generative Technologies (Video) – Emerging Technologies

Foley recently co-hosted a webinar with 4thly where an expert panel discusses AI, ML and generative technology.

The panel was moderated by 4thly’s Bret Waters, with speakers including Foley Partner Louis Lehot, Alex Babin (CEO and Founder, Zero Cognitive Systems), Suman Talukdar (Managing Partner, AI Sprouts VC), Ben Levy ( Founder of Bootstrap Labs), Walter. De Brouwer (founder of doc.ai, sold to Sharecare), Dipanwita Das (CEO and founder of Sorcero), Ahmed Reza (CEO and founder of Yobi), Igor Taber (general partner of Cortical Ventures).

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The panel discussion discussed the rapid adoption of ChatGPT, which continues to grow in popularity, and how generative AI can make businesses more efficient.

Panelists discussed the keys to funding generative AI startups, including:

• turning technology into products




• Leveraging language models




• LLMs need to analyze proprietary or hard-to-find data (think moats).




• Demonstrates traction in multiple vertical directions

Here are some key takeaways from their discussion:

• The secret to turning technology into a product is evaluating your business challenges and choosing where to apply AI. Good startups are working on problems worth solving.




• At the moment, AI startups are beating #BigTech companies in a very narrow context because they are focused on their targets and their ability to provide solutions to identified problems (as opposed to problem-seeking technology). because it demonstrates




• There’s a lot of experimentation going on in the broader AI field, and it’s hard to predict what will work best. Everything is so new and happening so fast. With very few exceptions, the technology on the market is not yet operational at enterprise scale.




• Many early-stage generative AI companies offer their customers highly bespoke solutions that cannot be scaled or replicated by other customers without extensive customization. This will make it difficult to reach $10 million in annual recurring revenue, a key benchmark for raising a Series B round.




• If a company wants to incorporate more AI into their current offerings or into their roadmap, they need in-house talent who really understand the technology and how to operate it. Many existing businesses will have to pivot to incorporate AI while avoiding disruption to the core products and services they sell.

The field is completely in a hype cycle and we are only in the very early stages of the AI ​​revolution. What if an investor realizes it will take years to scale?

Click here for more information and to watch the webinar recording.

To learn more about Foley’s AI practice, click here.

The content of this article is intended to provide a general guide on the subject. For your particular situation, you should seek professional advice.