Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Enterprises want more value from their data, but research from Salesforce shows how silos, gaps in strategy and low data ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

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.

Qlik is buying natural language processing and generative AI intellectual property, including patents and technology, from GenAI software developer Kyndi. Qlik has acquired “pivotal intellectual ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

WholeSum raised new funding to expand its AI-based qualitative analytics platform, helping organisations extract reliable ...

In this special guest feature, Jordan Dimitrov, Product Manager, Unstructured Data Analytics, Cognyte, addresses the importance of unstructured data, why AI is an invaluable tool and how to move ...

In this special guest feature, Salil Godika of Happiest Minds Technologies discusses the value of unstructured data and identifies 9 key steps for how companies can work with it effectively. Salil ...

Version 5.0 of RavenPack News Analytics moves away from positive or negative sentiment to focus on a thematic approach, as a positive-negative approach is overly simplistic and potentially ignores ...