Managing the Risks of Machine Learning for Mi...

The consistency gap in enterprise AI represents a critical failure point where unpredictable system behavior outside of controlled demos threatens to derail executive sponsorship and regulatory compliance. In this episode, Amar Akshat, SVP & Chief Architect at Paysafe, examines h ...  Show more

Legacy financial systems often trap organizations in "data swamps" where AI is mistakenly treated as a magic fix for fundamentally broken manual architectures. In this episode, Juan Orlandini, CTO of North America at Insight, outlines why senior executives must distinguish betwee ...  Show more

I have the pleasure of hosting Slava Podmurnyi, the Co-Founder and CEO of Visartech, a leading software technology partner specializing in custom software solutions. With over 13 years of experience in applying technology to diverse business niches, Slava brings a unique perspect ...  Show more

Our guest today is Samuel Cohen, PhD student at University College London (UCL) and visiting research scientist at Facebook AI Research (FAIR). In our conversation, we first dive into Samuel's first experience in AI, an internship at Check Point Software Technology where he devel ...  Show more

Tonia Sideri was a data scientist herself before taking on her role as head of Novo Nordisk’s AI and Analytics Center of Excellence. Now she’s putting her experience to use helping the Danish pharmaceutical company in its quest to develop medicines and delivery systems to treat d ...  Show more

Tribe is a distributed community of AI industry leaders, including ML engineers and data scientists, dedicated to helping companies apply machine learning to their business operations. Explore their <a href="https://www.tribe ...