Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. While many believe that growth comes from acquiring new ...

Building a machine learning model is only half the journey. Getting it to run reliably in the real world often requires navigating complex infrastructure. The transition from building on Jupyter ...

Today, OctoML announced a new model deployment platform that it claims is a “huge milestone for the AI developer community” — it enables app developers and IT operations to “transform ...

Building AI models that are effective can be time-consuming and tedious. ModelOps addresses the need for speed in deploying AI and draws from 25-year-old TIBCO’s experience in data science ...

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook ...

During the opening day of Build 2025, the company unveiled the Windows AI Foundry, which it said offers a unified and reliable platform supporting the AI developer lifecycle from model selection ...