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 66

Deep Learning Experimentation Machine Learning Risk 66

IBM Big Data Hub

MARCH 4, 2024

This culture encourages experimentation and expertise growth. For example, by using compliance control scanning of terraform templates to fail provisioning if controls are not met. An AI+ enterprise also recognizes that alongside the necessary tools, fostering a culture that embraces AI and trains talent is crucial.

Enterprise 99

Enterprise ROI Risk Strategy 99

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. The DataRobot AI Platform is the next generation of AI.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

CIO Business Intelligence

APRIL 14, 2023

The legal risks alone are extensive, and according to non-profit Tech Policy Press they include risks revolving around contracts, cybersecurity, data privacy, deceptive trade practice, discrimination, disinformation, ethics, IP, and validation.

Risk 116

Risk Experimentation Marketing Risk Management 116

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Risk management: Manage risk and compliance to business standards, through automated facts and workflow management Identify, manage, monitor and report risks at scale.

Metadata 72

Metadata Risk Experimentation Dashboards 72

CIO Business Intelligence

JULY 11, 2023

For example, a good result in a single clinical trial may be enough to consider an experimental treatment or follow-on trial but not enough to change the standard of care for all patients with a specific disease. A provider should be able to show a customer or a regulator the test suite that was used to validate each version of the model.

Modeling 71

Modeling Testing Experimentation Risk Management 71

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 130

IT Risk Management Interactive Modeling 130

CIO Business Intelligence

FEBRUARY 3, 2023

Three of the team—two cyber engineers and a risk manager—were hired directly from the University in their third years, prior to graduation. “We We work closely with the University of South Wales, National Cyber Security Academy, and support them in a number of ways,” says Hobbs.

IT 52

IT Experimentation Scorecard Digital Transformation 52

Ontotext

JULY 6, 2023

By promptly identifying and addressing risks, it enhances operational resiliency and enables proactive risk management. The solution also reduces incident response times, optimizes processes and streamlines asset management. Experimentation with different technical analysis services becomes possible.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Information security and risk management are always top priorities for Fleetcor Technologies’ CIO Scott DuFour as well, and 2024 will be no different.

Cost-Benefit 133

Cost-Benefit Digital Transformation Consulting Strategy 133

CIO Business Intelligence

JULY 31, 2023

“You have to be learning as things move forward but do [iterations] that are safe and controlled and focus on risk management,” he explains. One of the particular issues that we all face is that generative AI is really new and it’s moving really quickly, so there’s not a lot of tooling in place,” Merrill says.

Strategy 95

Strategy Risk Enterprise Risk Management 95

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Corinium

APRIL 25, 2019

segments of a credit card number) and establish data security policies where your risk management people can see only those fields that inform risk decisions, your customer service people see some PII data to identify and interact more effectively with customers, and so forth.

Insurance 150

Insurance Risk IoT Cost-Benefit 150