Powering Smarter AI And LLMs With The Right Data Strategy

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

The promise and perils of synthetic data

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 ...
Becker's Hospital Review

A unified data model improves care and service for patients, providers and payers

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...

Every AI Initiative Begins With Data

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...
TechCrunch

Making AI models ‘forget’ undesirable data hurts their performance

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...
WinBuzzer

AI Coding: Microsoft’s 7B X-Coder Outperforms 14B Rivals on Synthetic Data

Microsoft and Tsinghua University have developed a 7B-parameter AI coding model that outperforms 14B rivals using only ...
TechRepublic

A guide to the 10 most common data modeling mistakes

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...