CIO Business Intelligence

JULY 7, 2025

There are deep dives into the implications of new gen AI models, discussions of compliance and ethical risks, and knowledge sharing around emerging use cases and technical best practices. One of the biggest barriers is change management — getting employees invested and committed to reimagining how they work. There are no pre-set expectations.

Management 118

Management Experimentation Technology Enterprise 118

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

OCTOBER 24, 2024

The long-term impact is even more worrying — companies risk falling behind competitors who are implementing AI strategically. Rosen sees a lot of experimentation without a clear sense of direction, from companies that don’t have a clear idea of what AI projects will match their business needs. The fear of missing out is real.

IT 138

IT Experimentation Measurement Risk 138

CIO Business Intelligence

NOVEMBER 11, 2024

Amazon Web Services, Microsoft Azure, and Google Cloud Platform are enabling the massive amount of gen AI experimentation and planned deployment of AI next year, IDC points out. For the global risk advisor and insurance broker that includes use cases for drafting emails and documents, coding, translation, and client research.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

DECEMBER 17, 2024

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. What are the associated risks and costs, including operational, reputational, and competitive? Click here to learn more about how you can advance from genAI experimentation to execution.

Experimentation 98

Experimentation ROI Risk Data Quality 98

CIO Business Intelligence

JULY 1, 2025

Early-stage experimentation across industries is already demonstrating measurable improvements: Accelerated training: Complex models that typically require extensive computational resources can be trained more efficiently using quantum-enhanced algorithms, reducing both time-to-insight and energy consumption.

Machine Learning 75

Machine Learning Experimentation Insurance Forecasting 75

CIO Business Intelligence

JANUARY 8, 2025

Whether it was executing the Apollo mission or building the Burj Khalifa the common thread that runs through it is the role leaders play in supporting the team, encouraging experimentation and risk-taking and promoting idea meritocracy and inclusion.

Experimentation 111

Experimentation Digital Transformation Cost-Benefit ROI 111

CIO Business Intelligence

JANUARY 6, 2025

One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.

IT 140

IT Cost-Benefit Measurement Experimentation 140

CIO Business Intelligence

NOVEMBER 27, 2024

While in the experimentation phase, speed is a priority, the implementation phase requires more attention to resiliency, availability, and compatibility with other tools. Technology: The workloads a system supports when training models differ from those in the implementation phase.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. Intellectual property risks Failing: GenAI can inadvertently use copyrighted material, leading to legal complications. Of those, just three are considered successful.

Consulting 137

Consulting Cost-Benefit Experimentation Optimization 137

CIO Business Intelligence

JULY 1, 2025

Context” activities are tasks that have to be done “just good enough” — activities that if done wrong can put the customer relationship at risk but things the customer isn’t willing to pay extra for (e.g., “Core” activities are those things that differentiate an organization from its competitors. accounts payable at Disney).

IT 122

IT Uncertainty Experimentation Consulting 122

O'Reilly on Data

FEBRUARY 27, 2025

The risk is you start with here are six tools I use in my own complex workflow in a language you dont recognise to solve problems you don’t have and lose people in a flood of random tool names. Ideally, you will not only give us the full version but also distill particular, usable lessons from it.

Experimentation 251

Experimentation Data Processing Software Visualization 251

O'Reilly on Data

MARCH 25, 2025

The coordination tax: LLM outputs are often evaluated by nontechnical stakeholders (legal, brand, support) not just for functionality, but for tone, appropriateness, and risk. ML apps needed to be developed through cycles of experimentation (as were no longer able to reason about how theyll behave based on software specs).

Testing 189

Testing Data-driven Software Measurement 189

CIO Business Intelligence

NOVEMBER 13, 2024

When asked if AI Companion could put business process analysts at risk, Vietor said, to the contrary, it will help them “concentrate on the value creation part of the job, like optimizing the process and managing/governing the change. We reduce the manual (not loved) efforts and improve the quality dramatically.”

Experimentation 118

Experimentation Testing Software Risk 118

CIO Business Intelligence

JULY 10, 2025

AI implementation research at BerkelyHaas (University of California at Berkeley) shows that only a small minority of firms realise significant financial benefits from AI despite extensive experimentation. This may increase compliance friction but improve long-term trust and reduce reputational risk. United Kingdom.

Experimentation 93

Experimentation Strategy Data-driven Cost-Benefit 93

CIO Business Intelligence

AUGUST 21, 2024

Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” When it comes to security, though, agentic AI is a double-edged sword with too many risks to count, he says. “We That means the projects are evaluated for the amount of risk they involve.

Risk 136

Risk Insurance Cost-Benefit Consulting 136

CIO Business Intelligence

OCTOBER 17, 2024

While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. million machines worldwide, serves as a stark reminder of these risks. Assume unknown unknowns.

Risk 108

Risk Experimentation Testing Strategy 108

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines. But what kind?

Enterprise 351

Enterprise Deep Learning Data Governance Risk 351

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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

CIO Business Intelligence

FEBRUARY 12, 2025

If you really want to get the value of AI and scale experimentation, you have to combine it with your citizen development strategy. Its got DLP, EAP [Extensible Authentication Protocol], and all the risk assessment promises we give you, and it runs in managed environments so its got all the sharing, auditing and reporting.

Experimentation 111

Experimentation Cost-Benefit Risk Insurance 111

CIO Business Intelligence

OCTOBER 24, 2024

As they look to operationalize lessons learned through experimentation, they will deliver short-term wins and successfully play the gen AI — and other emerging tech — long game,” Leaver said. Determining the optimal level of autonomy to balance risk and efficiency will challenge business leaders,” Le Clair said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

MAY 20, 2025

The days of focusing primarily on AI experimentation and proofs of concepts are in the past. CIOs, he explains, need to quickly scale AI deployments to ensure their organizations stay competitive because the technology is evolving so fast that they risk rapidly falling behind if they dont. Were asking, How do we continually mature?

Strategy 120

Strategy Risk Experimentation Measurement 120

CIO Business Intelligence

FEBRUARY 17, 2025

Pichai also shared insights into Googles culture of innovation, crediting its founders ambitious framework and the encouragement of risk-taking and experimentation: You have to have an optimistic culture, a culture of curiosityYou encourage optimism, you really push people to take risks, and you dont punish failures.

Experimentation 123

Experimentation Risk Measurement Testing 123

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? encouraging and rewarding) a culture of experimentation across the organization. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired!

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

MAY 29, 2025

Evaluate the risks and benefits In addition to not laying a strong foundation for AI success, many organizations have failed to project the time and investment needed to achieve ROI with their AI projects, says Nagmani Lnu, director of quality engineering at financial services firm SWBC. Slow and steady wins the race, he says.

ROI 121

ROI Experimentation Consulting Risk 121

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. And you, as the product manager, are caught between them.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

APRIL 22, 2025

Managing risk is essential For an IT executive, a strong IQ is essential for managing risk and ensuring compliance. High-IQ leaders excel at planning, anticipating risks and crafting strategies key elements of crisis readiness. IQ ensures preparedness; EQ enables agility.

Technology 106

Technology Uncertainty Experimentation Risk Management 106

CIO Business Intelligence

JANUARY 14, 2025

Technical foundation Conversation starter : Are we maintaining reliable roads and utilities, or are we risking gridlock? DevSecOps maturity Conversation starter : Are our daily operations stuck in manual processes that slow us down or expose us to risks? Like a citys need for reliable infrastructure and well-maintained services.

Enterprise 119

Enterprise Technology Metrics Measurement 119

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

Aryng

APRIL 22, 2022

Most managers are good at formulating innovative […] The post How to differentiate the thin line separating innovation and risk in experimentation appeared first on Aryng's Blog. We have seen this as a general trend in start-ups, and we know that it’s an awful feeling!

Experimentation 52

Experimentation Risk Management IT 52

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. AI initiatives may also require significant considerations for governance, compliance, ethics, cost, and risk. Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

Dataiku

OCTOBER 2, 2019

It’s probably safe to say that for at least some of those explorers, the prospect of risk when it comes to data and AI projects is paralyzing, causing them to stay in a phase of experimentation.

Risk 14

Risk Management Experimentation Machine Learning 14

CIO Business Intelligence

MAY 12, 2025

That essential remit includes improving the enterprises ability to engage customers, collaborating with line-of-business executives to deliver innovative solutions, and safeguarding the organization against a wide variety of risks. And CEOs are relying on CIOs to figure out how to use AI to do all that faster and at lower costs.

IT 127

IT Uncertainty Sales Forecasting 127

CIO Business Intelligence

APRIL 14, 2025

Fabien Cros, chief data and AI officer at global consulting firm Ducker Carlisle who also advises clients through the firms SparkWise Solutions, has observed other organizations pushing off transformation efforts in favor of AI experimentation.

IT 127

IT ROI Consulting Experimentation 127

CIO Business Intelligence

APRIL 16, 2025

: Trusted advisor: While enterprise architects can often be seen as the catalysts for technology they must provide credible guidance to business leadership, offering insights into technology trends, risks and opportunities and avoid repeating mistakes of the past. They must ensure any gaps are identified and addressed accordingly.

Enterprise 124

Enterprise Strategy Risk Business Objectives 124

CIO Business Intelligence

MAY 21, 2025

It can even be used for controlled experimentation, assuming you can make it accurate enough. Sufficiently accessible and accurate tools could deliver operational improvements and revenue, as well as optimized costs and reduced risks in many areas of business decision making.

Statistics 112

Statistics Testing Modeling Risk 112