FICO Warns Financial Services Dodging Responsible AI Initiatives
Even with the growth in demand for AI-driven financial products and offerings, many financial services firms have yet to develop and hold themselves …
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Observability, Infrastructure Complexity, and Shifting Left
Observability helps organizations manage the increasing complexity of technology infrastructures and shift left to deal with the tech talent
Industrial Robotics Driven by Increased Job Site Risk
Although many industries will take advantage of cutting-edge robotics in their operations, the automotive industry is expected to make up the majority of …
Generative AI: When Reality is Uncertain, Authenticity is Key
As enterprises seek to unlock the opportunities of synthetic reality created by generative AI, building trust will be
Time to Put Humans Deeper into the AI Design Process
An important part of the process is to bring in people from across disciplines, even if they have conflicting
NHS AI Deployment Improves Stroke Recovery
Deployment of a AI diagnostic tool by the UK's NHS for stroke victims has led to a tripling of percentage chance recovery and treatment
Deploying Digital Twins To Support Decarbonization Efforts
Digital twins could be the catalyst for reduced emissions, as city planners are able to trial run more decarbonization efforts with low operational
Real-time Analytics News for Week Ending January 21
In this week's real-time analytics news: The IEEE and the IEEE Standards Association (IEEE SA) announced a program that provides guidance on trustworthy
Study Notes Vulnerabilities in Code-Generating AI Systems
The study suggests that projects using AI code-generating tools still need some level of human oversight and expertise for critical security
MIT Researchers Create Explanation Taxonomy to ML Models
For non-technical staff, the lack of understanding and obfuscation by some developers is one of the lead causes of under-utilization of machine learning …