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

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

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 168

Testing Data-driven Software Measurement 168

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.

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Risk Insurance Cost-Benefit Software 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.

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Risk Experimentation Testing Strategy 108

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

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 347

Enterprise Deep Learning Data Governance Risk 347

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

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!

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Strategy Experimentation Uncertainty Machine Learning 290

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.

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Management Machine Learning Experimentation Metrics 363

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

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!

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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 Experimentation Management Machine Learning 14

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

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Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

MARCH 5, 2025

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. Use a mix of established and promising small players To mitigate risk, Gupta rarely uses small vendors on big projects.

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Testing Measurement Technology Experimentation 99

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. For AI and other areas, a corporate use policy can help educate users to potential risk areas, and hence manage risk, while still encouraging innovation.

ROI 124

ROI Experimentation Risk Cost-Benefit 124

CIO Business Intelligence

NOVEMBER 7, 2024

This team addresses potential risks, manages AI across the company, provides guidance, implements necessary training, and keeps abreast of emerging regulatory changes. This initiative offers a safe environment for learning and experimentation. Simultaneously, on the offensive side, we’ve launched our internal Liberty GPT instance.

Insurance 120

Insurance Experimentation Testing Technology 120

CIO Business Intelligence

AUGUST 16, 2023

Digital alerts Another project deals with slow-moving vehicles, something that increases the risk of accidents on the roads. Not for experiments For a company like Svevia, there’s no room for experimentation, underlines Wester. “We Since the route optimization came into place, fewer emptyings are required, he notes.

Risk 98

Risk Cost-Benefit Internet of Things Digital Transformation 98

Smart Data Collective

MAY 22, 2022

The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience. With AI, the risk score for a device doesn’t depend on individual indicators. Predicting If a Device Is at Risk. Therefore, the risk score is always being adjusted accordingly.

Data-driven 145

Data-driven Risk Experimentation IT 145

CIO Business Intelligence

JANUARY 10, 2025

Enterprise technology providers will introduce agentic AI capabilities throughout 2025, enabling organizations to move from experimentation and piloting to broad-scale deployment and integration into existing workstreams, said Todd Lohr, Head of Ecosystems at KPMGs US Advisory division. However, only 12% have deployed such tools to date.

ROI 81

ROI Enterprise Broadcasting Metrics 81

CIO Business Intelligence

AUGUST 20, 2024

CIOs have a new opportunity to communicate a gen AI vision for using copilots and improve their collaborative cultures to help accelerate AI adoption while avoiding risks. They must define target outcomes, experiment with many solutions, capture feedback, and seek optimal paths to delivering multiple objectives while minimizing risks.

IT 141

IT Digital Transformation Experimentation Risk 141

The Unofficial Google Data Science Blog

APRIL 23, 2024

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Dataiku

NOVEMBER 17, 2021

For many years, AI was an experimental risk for companies. Today, AI is not a brand new concept and most enterprises have at least explored AI implementation. As of 2020, 68% of enterprises had used AI, having already adopted AI applications or introduced AI on some level into their business processes.

ROI 110

ROI Enterprise Experimentation Risk 110

CIO Business Intelligence

SEPTEMBER 23, 2024

From the rise of value-based payment models to the upheaval caused by the pandemic to the transformation of technology used in everything from risk stratification to payment integrity, radical change has been the only constant for health plans. The culprit keeping these aspirations in check? It is still the data.

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Management Experimentation Data-driven Strategy 115

CIO Business Intelligence

FEBRUARY 9, 2024

Establish a corporate use policy As I mentioned in an earlier article , a corporate use policy and associated training can help educate employees on some risks and pitfalls of the technology, and provide rules and recommendations to get the most out of the tech, and, therefore, the most business value without putting the organization at risk.

IT 138

IT Experimentation Risk Testing 138

CIO Business Intelligence

OCTOBER 15, 2024

Recommendation : CIOs should adopt a risk-informed approach, understanding business, customer, and employee impacts before setting application-specific continuous deployment strategies. Shortchanging end-user and developer experiences Many DevOps practices focus on automation, such as CI/CD and infrastructure as code.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. Clinics and hospitals like Phoenix Children’s use AI to predict which patients are at risk of contracting an illness so that they can then prescribe medication and treatment accordingly. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

JUNE 24, 2024

But in the short run, we risk building an astonishing, awe-inspiring technology that few use. If we remain solely focused on just building better and better AI capabilities, we risk creating an amazing technology without clear applications, public acceptance, or concrete returns for businesses.

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Risk Experimentation Enterprise Technology 141

CIO Business Intelligence

SEPTEMBER 12, 2024

The familiar narrative illustrates the double-edged sword of “shadow AI”—technologies used to accomplish AI-powered tasks without corporate approval or oversight, bringing quick wins but potentially exposing organizations to significant risks. Establish continuous training emphasizing ethical considerations and potential risks.

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Experimentation Risk Cost-Benefit Strategy 111

CIO Business Intelligence

DECEMBER 11, 2024

Research from IDC predicts that we will move from the experimentation phase, the GenAI scramble that we saw in 2023 and 2024, and mature into the adoption phase in 2025/26 before moving into AI-fuelled businesses in 2027 and beyond. So what are the leaders doing differently?

ROI 59

ROI Experimentation Insurance Strategy 59

CIO Business Intelligence

SEPTEMBER 10, 2024

As we navigate this terrain, it’s essential to consider the potential risks and compliance challenges alongside the opportunities for innovation. As we become increasingly reliant on AI-generated content, there’s a risk of diminishing original thought and critical thinking. But if you lead with risk, you hinder things like innovation.

IT 122

IT Risk Risk Management Predictive Modeling 122

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., It is also important to have a strong test and learn culture to encourage rapid experimentation. Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

OCTOBER 9, 2022

However, delay too long, and you also risk giving yourself an insurmountable technological handicap if uptake in your industry suddenly accelerates. The benefits of the experimentation and iterative progression Agile enables are never more apparent than when we’re exploring uncertain and dynamic environments.

Cost-Benefit 142

Cost-Benefit Manufacturing Experimentation Risk 142