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 ...

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 ...

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

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 ...

The last few years have been a watershed for the modern data stack. Even as it’s being rapidly adopted by data teams, innovation within it continues to accelerate. From the data warehouse to the data ...

Artificial intelligence. Machine learning. Quantum computing. Technologies that were once the stuff of science fiction are now shaping a new era of intelligent innovation, evolving faster than anyone ...

Data management has evolved significantly over the last several decades. Years ago, the architecture was much simpler – think Oracle databases running on IBM mainframes, in the form of an on-premise ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...