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. Learn more about how Cloudera can support your enterprise AI journey here.

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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.

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ROI Enterprise Broadcasting Metrics 81

CIO Business Intelligence

JANUARY 2, 2025

Generative AI playtime may be over, as organizations cut down on experimentation and pivot toward achieving business value, with a focus on fewer, more targeted use cases. Would you really rather have10,000 enterprises go off and try to build a customer support agent and an HR agent, and a finance agent?

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Experimentation Digital Transformation Technology Finance 144

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.

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ROI Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

DECEMBER 10, 2024

Computing costs rising Raw technology acquisition costs are just a small part of the equation as businesses move from proof of concept to enterprise AI integration. The rise of vertical AI To address that issue, many enterprise AI applications have started to incorporate vertical AI models. In fact, business spending on AI rose to $13.8

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Modeling Insurance Unstructured Data Experimentation 116

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

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.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

DECEMBER 20, 2024

Chief among these is United ChatGPT for secure employee experimental use and an external-facing LLM that better informs customers about flight delays, known as Every Flight Has a Story, that has already boosted customer satisfaction by 6%, Birnbaum notes. That number has increased to 21% in just 18 months.

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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. Change management creates alignment across the enterprise through implementation training and support. Click here to learn more about how you can advance from genAI experimentation to execution.

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CIO Business Intelligence

OCTOBER 24, 2024

While AI projects will continue beyond 2025, many organizations’ software spending will be driven more by other enterprise needs like CRM and cloud computing, Lovelock says. Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains.

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

CIO Business Intelligence

MAY 9, 2024

How AI solves two problems in every company Every company, from “two people in a garage” startups to SMBs to large enterprises, faces two key challenges when it comes to their people and processes: thought scarcity and time scarcity. Experimentation drives momentum: How do we maximize the value of a given technology?

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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.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

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

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

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Cost-Benefit Data-driven Strategy Marketing 142

Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. Test early and often.

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Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. They also can provide education and training enterprise-wide. DataOps Dojo .

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Metrics Experimentation Measurement Testing 243

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. Measurement, tracking, and logging is less of a priority in enterprise software.

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Management Machine Learning Experimentation Metrics 363

DataRobot Blog

MARCH 8, 2023

Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes. SAP AI Solutions: Making Business Applications More Intelligent AI is at the heart of the SAP strategy to help customers become intelligent, sustainable enterprises.

Enterprise 105

Enterprise Experimentation Machine Learning Data Science 105

Cloudera

AUGUST 20, 2020

But out of disruption, we’ve seen incredible innovation born into the enterprise. The imperative to deliver meaningful change and value through innovation is why the Data for Enterprise AI category at the Data Impact Awards has never been more of the moment than it is today. But UOB didn’t stop there. That’s really important.

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Enterprise Experimentation Uncertainty Deep Learning 121

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

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IT Testing Experimentation Software 364

Cloudera

APRIL 13, 2021

Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. At Cloudera, we spend countless hours with the world’s largest enterprises understanding where the barriers to successful ML adoption are. Still, at its core, ML is about science.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 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 Here’s a quick read about how enterprises put generative AI to work). Training LLMs is expensive and energy-intensive.

Enterprise 119

Enterprise Experimentation Modeling Data-driven 119

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

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Composable Analytics — A DataOps Enterprise Platform with built-in services for data orchestration, automation, and analytics. Observe, optimize, and scale enterprise data pipelines. .

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Testing Machine Learning Consulting Data Science 300

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. Enterprises with 5,000 or more employees were more likely (69%) to be trying the technology than smaller ones (57%).

Enterprise 98

Enterprise Experimentation Manufacturing Risk 98

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. This is critical in our massively data-sharing world and enterprises. 2) MLOps became the expected norm in machine learning and data science projects.

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Machine Learning Data-driven Deep Learning IoT 279

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. Enterprise gen AI is where the true value is. Thats a critical piece.

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Metrics Enterprise Cost-Benefit Experimentation 64

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’ve structured our approach into phases.

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Insurance Experimentation Testing Technology 120

IBM Big Data Hub

MARCH 4, 2024

This requires a holistic enterprise transformation. We refer to this transformation as becoming an AI+ enterprise. Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. times higher ROI. times higher ROI.

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Enterprise ROI Risk Strategy 96

CIO Business Intelligence

JULY 18, 2024

The early bills for generative AI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. The AI service providers, sometimes dubbed AI hyperscalers, offer GPU-as-a-service, enabling enterprises to purchase GPU power on demand to limit spending.

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Cost-Benefit Experimentation Consulting 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. Test every vendors knowledge of AI The large enterprise application vendors are not AI companies, Helmer says.

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Testing Measurement Technology Experimentation 99

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. What differentiates Fractal Analytics?

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Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

DECEMBER 12, 2024

One-time and complex queries are two common scenarios in enterprise data analytics. This comprehensive approach balances technical innovation, data governance, operational efficiency, and cost-effectiveness, thus supporting long-term business growth with the adaptability to meet evolving enterprise needs.

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Snapshot Recreation/Entertainment Experimentation Data Lake 79

bridgei2i

APRIL 28, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. In this episode, best-selling author and expert on Infonomics, Doug Laney delves into how enterprises can navigate their way out of the crisis by leveraging data. Despite the downturn in the market, Doug explains that enterprises should focus on data and analytics investments.

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Enterprise Data Analytics Analytics Forecasting 103

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

MAY 23, 2022

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. The cloud is great for experimentation when data sets are smaller and model complexity is light.

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Experimentation Cost-Benefit Data Lake Data Science 137