Abstract: In a formal data analysis workflow, data validation is a necessary step that helps data analysts verify the quality of the data and ensure the reliability of the results. Data analysts ...

Cyberhaven expands its industry-leading data lineage and DLP capabilities with DSPM Early Access. Traditional DSPM tools have helped organizations locate sensitive data, but fail to capture how it ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

The cybersecurity industry has turned data lineage into another buzzword, with vendors promising complete data visibility that will solve all data protection challenges. This marketing transforms a ...

Data contextualization is the key to understanding and preventing the implications of bad factory floor data in downstream applications. When your IT colleagues talk about data lineage, they are ...

Key Insight: Strict data lineage is now central to bank generative AI strategies. What's at Stake: Operational, compliance and reputational risks could translate into lawsuits and financial losses.

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Data is no longer just a byproduct of business; it is the business. But without clarity on where data comes from, how it’s transformed, and where it’s used, firms risk operating without enough ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

The new data lakehouse is billed as a single platform for multiple use cases including transactional, agentic, decision support, model training and tuning, and more. Broadcom is pushing its new data ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. AI rarely fails because of bad models alone. More often it fails ...