Data scientists remain in hot demand, but they will give up more of their core functions this year and beyond to automated tools.
How AI can potentially be used in the battle against pandemics – exploring the potential use cases of AI for battling coronarivus COVID-19 and beyond.
If we don’t understand how machine learning works, how can we trust it? Increasing model transparency creates risks as well as rewards.
Microsoft Research AI ethics checklist is a set of published principles for designing ethics checklists that can be operationalized in AI DevOps processes.
Big changes in AI, machine learning applications, tools, techniques, platforms, and standards are on the horizon in the near future.
Superwise.ai addresses a growing enterprise need for AI model assurance. That said, there are both challenges and opportunities ahead for this AI startup.
Google’s TensorFlow Quantum is a key industry milestone in machine learning acceleration.
Multicloud computing has become the hottest theme in enterprise networking this year. Let's take a look at this newest service.
NVIDIA acquisition of SwiftStack shows thinking beyond chips. This is a strategic focus on the stack, the data center, enterprise computing, and the future
Google Cloud and AT&T team to build 5G edge computing solutions, working to help optimize telcos for 5G wireless networks.
BMC’s Compuware acquisition should help customers automate mainframe and IT operations management.
Deepfake technology and its ecosystem continues to develop primarily to serve socially redeeming uses. What can we expect in 2020 and beyond?
