In 2023, the integration of generative AI (GenAI) into the constantly evolving landscape of data management emerged as a game changer, promising to reshape the way organizations interact with ...

Integrating tax and sustainability with advanced data management tools is transforming traditional business practices into strategic front-office functions. Leveraging data is critical, especially in ...

Data security posture management (DSPM) tools help security teams to look at the entire data environment and find shadow data, reducing the risk of data loss. Tracking down sensitive data across your ...

Chat2DB, an open source SQL client enhanced by artificial intelligence, has introduced significant updates designed to reshape how professionals manage and interact with databases. By incorporating ...

Rehan Jalil is CEO of cybersecurity and data protection infrastructure firm SECURITI and ex-head of Symantec’s cloud security division. Generative AI (GenAI) adoption is no longer a choice—it’s a ...

Pure Storage’s recent launch of its Enterprise Data Cloud reignited debate around storage and data management. Pure claims its EDC addresses the management of growing volumes of data in a complex ...

Data management, already of significant importance for operational and business intelligence purposes, has taken on a new level of priority for businesses and organizations as the wave of AI ...

We discuss some of the best database tools for DevOps developers and DevOps engineers. Learn DevOps database software. Database DevOps tools can help developers automate and orchestrate database ...

Personetics, the global leader in financial data-driven customer engagement, released a report titled “Spotlight on North America: Banks and Credit Unions Need to Promote Customers’ Financial ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

A data-driven culture is needed if a business wants to lead through digital innovation. But traditional data management infrastructures are rigid and unable to combine diverse data types. Then there ...

Organizations are now in an age where keeping every byte of data is necessary. Why? Because amassing and curating a company's unique data will drive business-changing results with their AI initiatives ...