CIO Business Intelligence

SEPTEMBER 10, 2024

We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. Additionally, we explored how predictive models could be used to identify the ideal profile for haul truck drivers, with the goal of reducing accidents and fatalities.

IT 122

IT Risk Risk Management Predictive Modeling 122

CIO Business Intelligence

DECEMBER 19, 2023

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

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

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 125

ROI Experimentation Risk Cost-Benefit 125

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. Challenges around managing risk.

Metadata 97

Metadata Risk Management Risk Experimentation 97

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 should also weigh in on roles and responsibilities and oversee defining a governance model to avoid overloading individuals or ending up with responsibility gaps.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

IBM Big Data Hub

JUNE 10, 2024

As organizations strive to harness the power of AI while controlling costs, leveraging anything as a service (XaaS) models emerges as a strategic approach. Embracing the power of XaaS XaaS encompasses a broad spectrum of cloud-based and on-premises service models that offer scalable and cost-effective solutions to businesses.

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 106

Experimentation Digital Transformation Risk Management Risk 106

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. For example, will this cover all forms of AI or just generative AI?

Risk 122

Risk Experimentation Marketing Risk Management 122

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 125

Advertising Cost-Benefit Experimentation Reporting 125

IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Consider the following: Do you need a public foundation model? This culture encourages experimentation and expertise growth.

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. Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models.

Metadata 71

Metadata Risk Experimentation Dashboards 71

Corinium

APRIL 25, 2019

I’ve found many IT as well as Business leaders have a mental model of data in that it is simply part of, or belongs to, a specific database or application, and thus they falsely conclude that just procuring a tool to protect that given environment will sufficiently protect that data. This is a much more proactive and scalable model.

Insurance 150

Insurance Risk IoT Data-driven 150

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. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

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 140

Cost-Benefit Digital Transformation Consulting Strategy 140

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.

Deep Learning 64

Deep Learning Experimentation Machine Learning Risk 64

CIO Business Intelligence

JULY 31, 2023

How has, say, ChatGPT hit your business model?” You have to be learning as things move forward but do [iterations] that are safe and controlled and focus on risk management,” he explains. How is your business impacted by generative AI? This is an issue for CIOs.

Strategy 98

Strategy Risk Enterprise Risk Management 98

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

CIO Business Intelligence

FEBRUARY 3, 2023

More recently, The Royal Mint has evolved its business model in the face of declining cash usage, from its core business of coins and metal manufacturing through to bullion trading, a new consumer business and jewellery line, as well as tentative steps into digital gold and recycling e-waste.

IT 52

IT Experimentation Scorecard Digital Transformation 52

CIO Business Intelligence

DECEMBER 6, 2023

Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission. But these Guardian polls appear to have been published on Microsoft properties with millions of visitors by automated systems with no human approval required.

IT 133

IT Risk Management Interactive Risk 133

CIO Business Intelligence

JANUARY 14, 2025

Most importantly, architects make difficult problems manageable. They achieve this through models, patterns, and peer review taking complex challenges and breaking them down into understandable components that stakeholders can grasp and discuss. This comprehensive model helps architects become true enablers of organizational success.

Enterprise 120

Enterprise Technology Metrics Measurement 120

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