In a previous Forbes article, I wrote about how AI is driving a rethink of the enterprise data stack and how a modern data platform approach can be a key component in this evolution. But in a world ...

We believe today’s so-called modern data stack, as currently envisioned, will be challenged by emerging use cases and artificial intelligence-infused apps that begin to represent the real world, in ...

The modern enterprise software landscape demands professionals who can seamlessly navigate the complexities of full-stack ...

Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs. You can’t ...

There are numerous reasons why organizations pursue a "modern data stack." Some aim to move away from a "silos and spaghetti architecture" described in "Future Ready," while others aim to establish an ...

In the next three to five years, we believe a set of intelligent data apps will emerge requiring a new type of modern data platform to support them. We refer to this as a sixth data platform. In our ...

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most organizations are now well into re-platforming their enterprise data ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

Do traditional storage architectures need to be updated? After all, nearly every enterprise storage system that's available today is fundamentally based on an architecture that is now decades old – ...