Avoid turbulence when shifting to data analytics in the cloud
Migration of BI and data analytics to the cloud needs to proceed with caution. That’s because so many issues have to be taken into account:
Migration of BI and data analytics to the cloud needs to proceed with caution. That’s because so many issues have to be taken into account:
Resilience is risk mitigation that is engineered into your IT infrastructure. It’s the confidence that your infrastructure won’t fail you, especially in times of crisis.
Artificial intelligence workloads are consuming ever greater shares of information technology infrastructure resources. AI is also taking up residence as an embedded component for managing,
Privacy advocates have placed an unfair stigma on machine learning. Despite what you may have heard through the mass media, ML is not some fiendish
Data’s relevance doesn’t always jump out at you. It takes work to distill useful insights from enterprise data lakes that are increasingly too large, diverse
The term “big data” may have lost favor in recent years, but its byproducts have quietly been cultivating a revival.Throughmainstreamfascination(and fear) of machine intelligence, that
Digital transformation has heightened the focus on data as value, so businesses need to reevaluate the legal and logistical obstacles that come with the global
“Internet of things” edge devices are causing quite a few headaches for technology vendors and businesses alike. Their whole selling point — intelligent, real-time decision-making
Data is what separates business disruptors from the disrupted in the Digital Age. It’s made millionaires and billionaires already, and the game’s just teed off.
In between meeting with customers, crowdchatting with our communities and hosting theCUBE, the research team at Wikibon, owned by the same company as SiliconANGLE, finds time to
Microsoft Corp. put the convergence of artificial intelligence and cloud at the center of this year’s Build, its annual conference for software developers. As emphasized
Optimizing applications for the sprawl we call the Internet of Things is a daunting challenge. To craft high-performance IoT apps, developers need a federated environment