Recommender Systems: Why the Future is Real-Time Machine Learning
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 on the evolution of MLOps
Amplify Partners' Sarah Catanzaro discusses the evolution of Machine Learning Operations (MLOps), best practices, trends, and more.
6Q4: Demetrios Brinkmann, on the role of community in solving MLOps’ greatest challenges
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 …
apply(conf) puts everything on the table to help data and ML teams succeed
Bringing ML models into production is hard. Fortunately, community initiatives such as apply(conf) are helping.
6Q4: Data Council’s Pete Soderling, on Data Council Austin and the Importance of Community in Data
Upcoming Data Council Austin event founder sees great value in bridging the gap between data science, engineering, and
6Q4: Mixtiles’ Rona Lankry Levy, on Not Over-Designing Software
Mixtiles' Rona Lankry Levy discusses examples of developers over designing software and its consequences and her journey into tech.
6Q4: NLP Expert Neta Snir, on How AI Can Save Lives
NLP Expert Neta Snir explains how NLP can be used to detect high-risk situations online and save lives.
6Q4: Toga Networks’ Meital Bar-Kana, on the Advantages of Python
Toga Networks' Meital Bar-Kana explains why Python is gaining traction among software engineers.
The Future Is Now: How COVID-19 Is Accelerating the Digital Transformation of Retail Banking
The switch to online and mobile services presents challenges for banks to replicate in their digital offerings the personal touch of face-to-face
Why People Are Key to Industry 4.0 Success
Companies are addressing Industry 4.0 skills gaps in their workforce and adopting more agile practices to mimic startups.
