CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan’s Athena uses Python-based open-source AI to innovate risk management.

Deep Learning 73

Deep Learning Experimentation Machine Learning Risk 73

CIO Business Intelligence

JULY 31, 2023

Just look at the stats:Some 45% of 2,500 executives polled for a May 2023 report from research firm Gartner said the publicity around ChatGPT prompted them to increase their AI investments, 70% said their organization is already exploring gen AI, and 19% are in actual pilot or production mode.

Strategy 98

Strategy Risk Enterprise Risk Management 98

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. This will help us continue to build on our culture of continuous improvement, and the belief that everyone in the organization plays a role to encourage incident reporting practices and maintain peak security.”

Cost-Benefit 138

Cost-Benefit Digital Transformation Consulting Strategy 138

CIO Business Intelligence

DECEMBER 6, 2023

As well as a process that includes human review, and encourages experimentation and thorough evaluation of AI suggestions, guardrails need to be put in place as well to stop tasks from being fully automated when it’s not appropriate. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”

IT 133

IT Risk Management Interactive Modeling 133