Enterprise AI is evolving rapidly, with trusted data and modern infrastructure playing crucial roles in its success. As organizations increasingly rely on AI to drive decision-making and innovation, ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

In today's digital world, businesses are realizing the limitations of their old data systems. With AI and advanced analytics, ...

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

As AI adoption continues to accelerate, many organizations now face the challenge of extending their existing data infrastructure to support the unique demands of AI applications. This means ...

Businesses are racing to harness sprawling data across multiple cloud platforms. Ashitosh Chitnis stands at the forefront of this movement—an architect of scalable, enterprise-grade data solutions ...

Digital transformation technology concept with icons of cloud computing, data, computer, database and devices connected to internet over abstract code, change management business processes A fraction ...

I believe mid-century architecture principles can help solve some of healthcare’s most complex technological challenges.

UK health and wellbeing firm Holland & Barrett is using a wide set of tools from Amazon Web Services (AWS) to help a move to a fully modern data management architecture. The company’s Chief Data ...

Over the last few years, the volume and variety of data that organizations have access to has exploded, with 64% of organizations managing at least one petabyte (which is 1 million gigabytes, or 1,000 ...