AI is the silver bullet that will solve everything from customer churn to supply-chain bottlenecks. But the truth is messier.

Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

In today’s interconnected digital landscape, information sharing is a fundamental aspect of business operations. However, the exchange of data comes with inherent cybersecurity risks, making it vital ...

Overview Serverless analytics removes the complexity of infrastructure in big data workloads.Scalable Spark and Hive jobs ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...

Privacy-first practices. Embrace privacy-first data strategies to build trust and adapt to evolving regulations like GDPR and CCPA. AI-driven insights. Use AI and ...

Einat Orr is the cofounder and CEO of Treeverse, the team behind lakeFS. She is an engineering leader and holds a PhD in mathematics. It might sound counterintuitive, but an economic downturn can be ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

Meta is making headlines again for its opaque data practices. This time the social media giant is under fire for how it has handled personalized advertising – unlawfully forcing users to accept ...

Vast majority of respondents say data privacy matters more to them than ever "As technology continues to advance at an unprecedented pace, it's clear that people are becoming increasingly aware of and ...

A customer relationship management (CRM) database is a resource that contains all customer data that all departments within an organization can access. These data include customer information, sales ...