As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

As regulatory agencies catch up with the information age, thoughtful data historization is becoming more vital to the normal operation of any good-practice facility. Pharmaceutical companies now hoard ...

Every telecom system is bursting with information about subscribers, services and devices—not to mention the telco's network equipment and operational status. This data is both sensitive and necessary ...

In today’s computing environment, businesses must revamp their data architecture, as it’s essential not only for technological advancement, but also for enhancing enterprise capabilities and ...

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, ...

For more than 20 years we have been using Layer 3 connectivity powered by dynamic routing protocols to route traffic between data centers, but adoption of virtualization and geo-clustering ...

The modern enterprise is comprised of a complex set of application stacks that span a disparate variety of virtual machines, physical servers, and proprietary storage hardware. Tentacles reach from ...

When I worked for an aerospace company, a running joke was that we were a data storage company that happened to take satellite images. The amount of data we had stored in that prior life was measured ...

Google is adding new features to Data Layers in its JavaScript Maps API, which will allow developers to build a new breed of interactive apps that collect geographical data input from users. With the ...

The innovative data availability layer is shaping the backbone of a modular blockchain ecosystem, promising scalability, interoperability and unprecedented flexibility for the future of Web3. Modular ...