Reliance on centralized cloud infrastructure and the IRS’s proposed “mega API” expose vulnerabilities in data privacy and accountability that decentralized technologies can address. When a temporary ...

“You get to do things that allow you to be more efficient, and at scale, than you would otherwise. That would not happen if the data and analytics teams are siloed,” he told Traders Magazine. By ...

The internet has played a significant role in shaping the way people live today. Just about everything a person does with their lives is connected to the internet - be it work, activities, lifestyle ...

As insurance and retirement service providers navigate today’s complex landscape, data standardization and centralization have become critical as firms implement new technologies and leverage data in ...

Security Information and Events Management (SIEM) has become the keystone of many organizations' security strategies in recent years. But is it effective? And in the era of greater cloud and SaaS use, ...

Threat actors using artificial intelligence and scalable quantum computers will see centralized information systems as honeypots. David Holtzman — a former military intelligence professional, author, ...

The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

Data consolidation is the process of combining data from disparate sources, cleaning and verifying it by removing errors, and then storing it in a single location, such as a database or data warehouse ...

On March 28, billionaire tech tycoon Elon Musk announced on X (formerly Twitter) that xAI, his artificial intelligence (AI) company, has acquired X in an all-stock transaction. The merger valued xAI ...

Business decision makers, and especially CIOs, are facing an inconvenient truth — to enact a successful artificial intelligence (AI) and machine learning (ML) project, there can only be one single ...

In April, data quality emerged as the prevailing theme of greatest concern in our coverage. This month, data centralization is in the spotlight. Coordination of data might be a better way to describe ...