CIO Business Intelligence

NOVEMBER 11, 2024

AI spending on the rise Two-thirds (67%) of projected AI spending in 2025 will come from enterprises embedding AI capabilities into core business operations, IDC claims. Enterprises are also choosing cloud for AI to leverage the ecosystem of partnerships,” McCarthy notes. Only 13% plan to build a model from scratch.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. To succeed, Operational AI requires a modern data architecture.

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Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

JANUARY 10, 2025

A sharp rise in enterprise investments in generative AI is poised to reshape business operations, with 68% of companies planning to invest between $50 million and $250 million over the next year, according to KPMGs latest AI Quarterly Pulse Survey. However, only 12% have deployed such tools to date.

ROI 81

ROI Enterprise Broadcasting Metrics 81

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. Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely.

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ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

JANUARY 21, 2025

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 CIOs should consider placing these five AI bets in 2025.

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Cost-Benefit Data-driven Strategy Marketing 142

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? Change management creates alignment across the enterprise through implementation training and support.

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Experimentation ROI Risk Data Quality 98

CIO Business Intelligence

OCTOBER 15, 2024

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

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CIO Business Intelligence

AUGUST 21, 2024

And, yes, enterprises are already deploying them. 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

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Risk Insurance Cost-Benefit Software 136

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

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

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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CIO Business Intelligence

OCTOBER 17, 2024

] Forty-one percent of organizations adopted and used digital platforms for all or most functions in 2024, compared with just 26% in 2023, according to IDC’s May 2024 Future Enterprise Resiliency and Spending Survey, Wave 5. million machines worldwide, serves as a stark reminder of these risks.

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Risk Experimentation Testing Strategy 108

CIO Business Intelligence

AUGUST 14, 2024

Between building gen AI features into almost every enterprise tool it offers, adding the most popular gen AI developer tool to GitHub — GitHub Copilot is already bigger than GitHub when Microsoft bought it — and running the cloud powering OpenAI, Microsoft has taken a commanding lead in enterprise gen AI.

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Enterprise Cost-Benefit Experimentation Modeling 136

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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CIO Business Intelligence

AUGUST 2, 2023

Generative AI is already making deep inroads into the enterprise, but not always under IT department control, according to a recent survey of business and IT leaders by Foundry, publisher of CIO.com. The survey found tension between business leaders seeking competitive advantage, and IT leaders wanting to limit risks.

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Enterprise Experimentation Manufacturing Risk 98

CIO Business Intelligence

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Knowing these lessons before generative AI adoption will likely save time, improve outcomes, and reduce risks and potential costs.

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Enterprise Experimentation Modeling Data-driven 119

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. This requires a holistic enterprise transformation. times higher ROI.

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Enterprise ROI Risk Strategy 96

CIO Business Intelligence

MARCH 7, 2023

While the technology is still in its early stages, for some enterprise applications, such as those that are content and workflow-intensive, its undeniable influence is here now — but proceed with caution. Michal Cenkl, director of innovation and experimentation, Mitre Corp. You can’t just plug that code in without oversight.

Enterprise 116

Enterprise IT Unstructured Data Experimentation 116

CIO Business Intelligence

NOVEMBER 7, 2024

It’s federated, so they sit in the different business units and come together as a data community to harness our full enterprise capabilities. We bring those two together in executive data councils, at the individual business unit level, and at the enterprise level. We have 25% of our employees on Liberty GPT.

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CIO Business Intelligence

JULY 5, 2024

This is why many enterprises are seeing a lot of energy and excitement around use cases, yet are still struggling to realize ROI. 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.

ROI 124

ROI Experimentation Risk Cost-Benefit 124

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

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Risk Management Risk Modeling Enterprise 64

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. 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.

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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 Technology Enterprise 141

CIO Business Intelligence

MARCH 19, 2025

When I joined RGA, there was already a recognition that we could grow the business by building an enterprise data strategy. We were already talking about data as a product with some early building blocks of an enterprise data product program. This can cause risk without a clear business case. Thats a critical piece.

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Metrics Enterprise Cost-Benefit Experimentation 64

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.

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IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

JULY 12, 2024

In particular, Ulta utilizes an enterprise low-code AI platform from Iterate.ai, called Interplay. Not only does this particular low-code solution make rapid experimentation possible, it also offers orchestration capabilities so we can plug different services in and out very quickly,” says Pacynski.

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Experimentation Testing Enterprise Strategy 124

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

Cloudera

MAY 31, 2023

There are many benefits to these new services, but they certainly are not a one-size-fits-all solution, and this is most true for commercial enterprises looking to adopt generative AI for their own unique use cases powered by their data. However, these models have no access to enterprise knowledge bases or proprietary data sources.

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CIO Business Intelligence

JUNE 21, 2024

The AI data center pod will also be used to power MITRE’s federal AI sandbox and testbed experimentation with AI-enabled applications and large language models (LLMs). By June 2024, MITREChatGPT offered document analysis and reasoning on thousands of documents, provided an enterprise prompt library, and made GPT 3.5 We took a risk.

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CIO Business Intelligence

OCTOBER 3, 2024

CIOs have been moving workloads from legacy platforms to the cloud for more than a decade but the rush to AI may breathe new life into an old enterprise friend: the mainframe. Many enterprise core data assets in financial services, manufacturing, healthcare, and retail rely on mainframes quite extensively. At least IBM believes so.

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Machine Learning Experimentation Insurance Modeling 140

CIO Business Intelligence

JULY 1, 2024

By documenting cases where automated systems misbehave, glitch or jeopardize users, we can better discern problematic patterns and mitigate risks. Real-time monitoring tools are essential, according to Luke Dash, CEO of risk management platform ISMS.online.

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Reporting Risk Management Experimentation Risk 129

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. In the enterprise, huge expectations have been partly driven by the major consumer reaction following the release of ChatGPT in late 2022, Stephenson suggests.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

APRIL 29, 2024

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. They need to have a culture of experimentation.” CIOs should be “change agents” who “embrace the art of the possible,” he says.

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Forecasting Experimentation Risk Machine Learning 135

CIO Business Intelligence

JUNE 15, 2023

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). For many, their feelings are based on sound experience.

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Management Experimentation Optimization Enterprise 116

CIO Business Intelligence

DECEMBER 19, 2023

First, enterprises have long struggled to improve customer, employee, and other search experiences. The 2023 Enterprise Search: The Unsung Hero report found that 98% of organizations say they are improving search capabilities on portals, CRM tools, ecommerce sites, and online communities.

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Digital Transformation Unstructured Data Machine Learning Risk Management 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.

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Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since.

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