Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational assistants, and workflow and process automation tools. Each one is sophisticated, advanced, and quick to respond. But, when set to work, the outcomes and actions that emerge may be wrong, confused, or lacking a proper understanding of the business. Many organizations find themselves in this situation—and it could be one of key reasons they struggle to extract returns on their AI investments. DOWNLOAD THE REPORT An MIT Technology Review Insights poll finds that while every organization surveyed is using AI today to some degree, fewer than one in five (16%) are extracting transformative value from their deployments. The largest percentage of respondents (40%) say they are seeing moderate gains in specific tasks or teams, while 21% report meaningful gains, leaving 23% that are seeing minimal returns or none at all. ...
Artificial Analysis unveils the Intelligence Index v5 with new coding and science benchmarks; 60% of the Index is based on private test sets or held-out answers (Artificial Analysis)
Artificial Analysis : Artificial Analysis unveils the Intelligence Index v5 with new coding and science benchmarks; 60% of the Index is based on private test sets or held-out answers — The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 … from Techmeme https://ift.tt/XFhNo3E via IFTTT