Overview: Big data analytics helps turn massive amounts of big data into useful insights for better decision-making.Processes ...

Here are 15 data management and data analytics companies, part of the inaugural CRN AI 100, that are playing an outsized role in AI today. AI needs data–lots of it–to work. Otherwise, the old adage of ...

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...

SourceFuse partners with Databricks to help enterprises modernize data platforms, unlock AI & GenAI capabilities, ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

There is a growing urgency to adopt cloud services to buttress today’s rapidly growing inventories of high-end analytic and AI applications. This is fueled by massive volumes of data that are spilling ...

Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. Oracle advances AI, OLTP, and analytics database performance with the launch of its latest ...

The success of generative artificial intelligence (AI) depends on data. But enterprises adopting generative AI (genAI) are struggling to access, manage and activate data of different formats. For ...

A new Rust-based database engine, InfluxDB IOx, brings an in-memory columnar store, unlimited cardinality, and SQL language support to the open source time series database, raising the bar for ...

Running real-time analytics is becoming increasingly critical across various industries, but organizations need high-concurrency and low-latency query processing for maximum efficiency. That’s what ...

Here are 15 data management and data analytics technology companies, part of the CRN AI 100, that are playing an outsized role in AI today. “Without data, there can be no AI,” said Airbyte co-founder ...