Smart Data Collective

OCTOBER 13, 2021

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. Big data also helps you identify potential business risks and offers effective risk management solutions. As technology improves, the need for businesses to compete increases. Leverage innovation.

Technology 133

Technology Cost-Benefit Experimentation Machine Learning 133

CIO Business Intelligence

SEPTEMBER 10, 2024

Balancing risk and innovation Despite these challenges, genAI offers immense potential to enhance employee productivity and create new opportunities. However, its impact on culture must be carefully considered to maximize benefits and mitigate risks. Risk management is essential, but it shouldn’t stifle innovation.

IT 122

IT Risk Risk Management Predictive Modeling 122

CIO Business Intelligence

OCTOBER 3, 2024

It’s a natural fit and will be interesting to see how these ensemble AI models work and what use cases will go from experimentation to production,” says Dyer. LLMs can drive significant insights in compliance, regulatory reporting, risk management, and customer service automation in financial services.

Machine Learning 140

Machine Learning Experimentation Insurance Modeling 140

CIO Business Intelligence

OCTOBER 15, 2024

One example is how DevOps teams use feature flags, which can drive agile experimentation by enabling product managers to test features and user experience variants. CIOs may mistakenly underinvest in practices that improve user experiences, increase alignment with business stakeholders, and promote a positive developer experience.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

JULY 5, 2024

So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation. Set your holistic gen AI strategy Defining a gen AI strategy should connect into a broader approach to AI, automation, and data management.

ROI 124

ROI Experimentation Risk Cost-Benefit 124

CIO Business Intelligence

DECEMBER 19, 2023

If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Data Science 137

IBM Big Data Hub

JUNE 10, 2024

Facilitating rapid experimentation and innovation In the age of AI, rapid experimentation and innovation are essential for staying ahead of the competition. XaaS models facilitate experimentation by providing businesses with access to a wide range of AI tools, platforms and services on demand.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62

CIO Business Intelligence

JULY 2, 2024

It also explored how carriers, enterprises, oversight agencies, and regulators can enhance mobile security capabilities and provide guidance for risk management strategies. This requires a forward-looking, flexible regulatory framework that encourages experimentation, promotes interoperability, and protects consumers’ rights.

Experimentation 105

Experimentation Digital Transformation Risk Management Risk 105

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 122

Risk Experimentation Marketing Risk Management 122

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations.

Metadata 97

Metadata Risk Management Risk Experimentation 97

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots.

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

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 95

Modeling Testing Experimentation Risk Management 95

CIO Business Intelligence

DECEMBER 10, 2024

Where quantum development is, and is heading In the meantime, the United Nations designation recognizes that the current state of quantum science has reached the point where the promise of quantum technology is moving out of the experimental phase and into the realm of practical applications. It will enhance risk management.

Experimentation 98

Experimentation Technology Marketing Digital Transformation 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. 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 139

Cost-Benefit Digital Transformation Consulting Strategy 139

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 96

Enterprise ROI Risk Strategy 96

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 71

Metadata Risk Experimentation Dashboards 71

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

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 98

Strategy Risk Enterprise Risk Management 98

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 64

Deep Learning Experimentation Machine Learning Risk 64

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

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 Machine Learning Data-driven 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 Data-driven 150

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

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 Risk 133

CIO Business Intelligence

NOVEMBER 4, 2024

IDC, for instance, recommends the NIST AI Risk Management Framework as a suitable standard to help CIOs develop AI governance in house, as well as EU AI ACT provisions, says Trinidad, who cites best practices for some aspects of AI governance in “ IDC PeerScape: Practices for Securing AI Models and Applications.”

Uncertainty 137

Uncertainty Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

OCTOBER 14, 2024

Taylor adds that functional CIOs tend to concentrate on business-as-usual facets of IT such as system and services reliability; cost reduction and improving efficiency; risk management/ensuring the security and reliability of IT systems; and ongoing support of existing technology and tracking daily metrics.

Digital Transformation 131

Digital Transformation Experimentation Cost-Benefit Risk 131