What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...
Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...
Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Getting enterprise data into large language models (LLMs) is a critical ...
The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...
In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.
In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...
This year every organization is racing to understand and unlock the power of AI to improve sales and service experiences. But there is often one final piece that is missing. Great AI requires great ...
Big data is an IT buzzword nowadays, but its definition depends on who's doing the defining; AWS, IBM, and research firms each have their own definitions Big data is an IT buzzword nowadays, but what ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise AI is only as good as the data that is available to a model.
It's not just a mess -- it's a security risk, a compliance hazard, and a missed opportunity. That was the message from data evangelist Karen Lopez during the June 27 session of the "How To Take ...
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