The cloud is everywhere. Businesses, big and small, rely on it to store their most critical data, run operations and scale faster than ever before. Businesses pour millions into cloud solutions, ...

As data grows exponentially and cyber threats become more sophisticated, agencies must adapt their approaches to data security and IT modernization. Government agencies are navigating a rapidly ...

Companies can face data-security challenges with cloud storage and access management. Data-security posture management can help identify risks and protect data. This story is part of "Security ...

Explore the challenges and strategies for securing AI integration in manufacturing, focusing on governance, data privacy, and ...

According to Boston Consulting Group, almost 80% of companies either use agentic AI or have plans to implement it soon, but ...

Manage big data presents a new security challenge that some businesses are not prepared for. It’s different than protecting your network or even protecting a small amount of sensitive information in ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

As enterprises experiment with artificial intelligence, managing data security for generative AI tools, including privacy and governance controls, remains a possible roadblock to its adoption. The ...

Retail has reached a stage where customers desire and demand personalization. In the present world, people expect to get products and services that are relevant to them based on their preferences, ...

Data is undoubtedly a key asset today, but all it takes is a breach to turn it into a dreaded liability. With more data generated than ever, organizations have a hard time tracking and storing it.

The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering ...