Operationalizing AI Drives Insights-Based System Behavior
Operationalizing AI depends on a mature infrastructure, highly skilled staff, and elimination of data silos. When these are achieved, companies can personalize …
AI Models Will Be Wrong Sometimes – And That’s a Good Thing
Machine Learning models are probability engines. They will guess wrong sometimes, and that’s how you know they’re working correctly.
Real-time Analytics News for Week Ending April 24
In this week's real-time analytics news: Several AI educational efforts launch, NVIDIA intros new tools for data scientists, and several offerings that address …
AI Bias: FTC Cautions Businesses and Offers Guidance
While AI bias is a relatively new concern, the FTC has decades of experience enforcing bias laws that are relevant to today's
Obstacles to Enterprise AI and How to Overcome Them
Obstacles to enterprise AI adoption include lack of internal skills and poor communications between data scientists, business staff, and AI
Liberal Arts is AI’s Secret Weapon
While some experts may pit tech versus liberal arts, liberal arts and humanities might be the key to tackling the consequences of tech in our lives.
Assessing the Trustworthiness of AI and ML in Cybersecurity
Businesses should regard AI cybersecurity predictions with a level of skepticism for some time to come due to the reliability uncertainty of such
When Artificial Intelligence Explains, Humans Learn
If artificial intelligence machines can take us through their experiences, they can begin to teach us new ways to solve
U.S. AI Priorities Gleaned from Biden SciTech Appointees
The social impact of AI, both negative and positive, will likely play an essential role in how the U.S. government approaches the new tech for the next four …
Bots as a Service and Their Sordid Secret Shopping World
The rise of BaaS is a problem of scale, rather than of essence, and is merely one more way that AI bias can kill a
