Following the explosion of generative AI (GenAI), 2023 was all about experimentation. Enterprises explored the possibilities of innovative technologies like ChatGPT, Bard and others. However, as we ...

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

Artificial intelligence (AI) has relied on high-quality language data to train its models, but supply is running low. That depletion is forcing companies to look elsewhere for data sourcing as well as ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

COMMISSIONED As enterprises increasingly adopt GenAI-powered AI agents, making high-quality data available for these software assistants will come into sharper focus. This is why it’s more important ...

Artificial intelligence systems like ChatGPT could soon run out of what keeps making them smarter — the tens of trillions of words people have written and shared online. A new study released Thursday ...

However, not all data is created equal. Poor-quality information can distort strategic direction and lead to significant consequences. The principle of “garbage in, garbage out” underscores this risk: ...

Data quality refers to the accuracy, completeness and consistency of the information in an enterprise database. Discover the top 10 benefits of having data quality in your organization. Image: ...

In today's financial landscape, fintechs, banks and other lenders need to make sound credit decisions in order to stay afloat. And one of the most important factors in making accurate credit decisions ...