How are companies addressing the AI adoption gap? Our CEO, Theodore Krantz Jr. joined Nasdaq's TradeTalks to explore this question alongside Matthew Fitzpatrick, CEO of Invisible Technologies and Avaneesh Marwaha, CEO of Litera. They discussed key questions around global AI development and its impact on businesses, including: 🤖 What’s holding enterprises back from adopting AI? 🔧 Could purpose-built, application-specific models be the key to unlocking AI’s business impact? 🌍 With increasing scrutiny on AI supply chains and data sovereignty, how should businesses navigate risks tied to global AI development? Thank you Jill Malandrino for having us! 📺 Catch the full conversation here: https://lnkd.in/gdiNbR_Q #AIAdoption #RiskManagement #SupplyChain
Incredible quote from Ted: "481 of S&P are doing it (supply chain risk) via manual methods." Just one of many great insights. Be sure to watch the video. Great segment!
Fun panel discussion. Without market data insights, nearly impossible not to get burned by supply chain risks- we estimate platforms like ours save F1000 $37M a year from potential damage
AI is such an exciting topic but also one many customers are concerned about it. Thanks for sharing your thoughts as technology leaders as we navigate these tricky waters!
Helpful insight
Principal Data Scientist, Applied AI @ interos.ai | Perplexity AI Business Fellow | Award-Winning Data Expert @ Correlation One | Data Scientist | Data Engineer | Data Literacy | AI/ML
2wGreat to see Ted highlighting the importance of application-specific models for AI. Too many organizations are trying to "throw AI at it" to solve problems, when instead careful product discovery, domain expertise, and thoughtful explorations of use cases are essential to success here.