Why Data, Not Tech, Drives Digital Transformation
Ready to move forward? Start by auditing your data workloads and prioritizing those that drive business value.
Ready to move forward? Start by auditing your data workloads and prioritizing those that drive business value.
The shift toward real-time decision-making at the edge is an evolution in how businesses operate. Closing the latency gap means smarter, safer, and more …
Analysts who embrace storytelling will not only elevate their craft but will also become indispensable partners in shaping the future of enterprise …
Modern tools, including AI, machine learning, and real-time monitoring, allow organizations to flag anomalies, adapt as they grow, and enforce policies …
If the data reflects inequality or bias, the AI’s outputs will mirror it, potentially resulting in an individual being denied a job or loan, or, even more …
For innovation to take place, organizations need a storage infrastructure that can adapt to new technologies such as higher-density storage media or more …
Organizations that focus only on model development without considering their data’s AI readiness will continue to struggle.
In this week's real-time analytics news: Oracle made multiple announcements at this week’s Oracle AI World
The enterprise data stack is at an inflection point. Storing and streaming data is no longer enough. Businesses need a combination of streaming technologies, …
M&A is often viewed as a time for companies to change, but that energy should be extended to their data environments, as well. It's an opportunity to commit to …