Joel Hans

Automated testing of software is needed as citizen developers using low-code development techniques aren’t willing to wait on IT’s sign-off.

Synthetic data can help train artificial intelligence and ML applications on edge cases that are difficult or dangerous to capture in real life.

NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI bias in businesses today.

In contrast to specialist AIs, DeepMind based Gato on a transformer neural network architecture, which is similar to a large language model.

Data democratization is about giving everyone within an organization access to all of its data, regardless of what role that person has.

Artificial intelligence on the edge, often referred to as edge AI, could be a new solution to data sovereignty that satisfies the pickiest of regulators.

The report also claims there’s a potential to squeeze out an additional $2.6 trillion in revenue if more companies made the switch to real-time.

Despite the growth and variety in edge computing device availability, the path toward thin or thick edge isn’t exactly clear.

Enabling real-time data democratization is no easy task philosophically, organizationally, or technologically. Businesses can start with the right tools.

Stream processing and real-time responsiveness can significantly improve existing customer care processes and data flows.