As part of the diginomica network content series, we look at how Europe’s largest tyre and wheel distributor, Global Automotive Group, moves away from legacy ERP to a portfolio of enterprise applicati ...

The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...

SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop AI-enabled tools that improve your customer experience.' From the laptops on ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

An illustration Anthropic commissioned to mark the release of Opus 4.5. (Anthropic) Hot on the heels of Google's Gemini 3 Pro release, Anthropic has announced an update for its flagship Opus model.

Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...

The software development world has been transformed by AI-powered coding assistants such as Cursor and Claude Code, which have changed how engineers write and debug code. Processing Content These ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Pittcon’s professional quality online Short Courses are an affordable opportunity for continuing education. All courses count towards building your Professional Hours. Courses take place on Wednesdays ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...