Lisa Damast

Generative AI might be the main buzzword in the financial services industry, but remains a small part of the overall AI adoption as the industry looks to implement AI responsibly.

The future of recommender systems is real-time machine learning. Here’s everything you need to know about what that means for enterprise applications.

Amplify Partners’ Sarah Catanzaro discusses the evolution of Machine Learning Operations (MLOps), best practices, trends, and more.

In part two of this series, Demetrios Brinkmann, MLOps Community’s Head of Community and the MC of Tecton’s apply(conf) event, shares his perspectives on the greatest challenges currently in MLOps, the role of community in solving them, and more.

Bringing ML models into production is hard. Fortunately, community initiatives such as apply(conf) are helping.

Upcoming Data Council Austin event founder sees great value in bridging the gap between data science, engineering, and analytics.

Mixtiles’ Rona Lankry Levy discusses examples of developers over designing software and its consequences and her journey into tech.

NLP Expert Neta Snir explains how NLP can be used to detect high-risk situations online and save lives.

Toga Networks’ Meital Bar-Kana explains why Python is gaining traction among software engineers.

The switch to online and mobile services presents challenges for banks to replicate in their digital offerings the personal touch of face-to-face interactions.

Companies are addressing Industry 4.0 skills gaps in their workforce and adopting more agile practices to mimic startups.

Digital transformation is at the heart of McDonald’s efforts to improve customer experiences to retain current customers and bring back former customers.