I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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, ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Seamless access to high-quality, governed data and models is now available to power and train the next generation of marketing AI use cases SAN FRANCISCO, January 06, 2026--(BUSINESS WIRE)--LiveRamp ...

The volume of visual data in the world is simply exploding. Consider these facts: Over 1 billion surveillance cameras are estimated to have been installed worldwide. The global self-driving cars ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

Artificial intelligence (AI) is transforming a variety of industries, including finance, manufacturing, advertising, and healthcare. IDC predicts global spending on AI will exceed $300 billion by 2026 ...

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...