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

Domino Data Lab

MAY 15, 2019

Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering. It is more experimental because it is “an approach that involves learning from data instead of programmatically following a set of human rules.”

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

CIO Business Intelligence

AUGUST 30, 2023

Corporate projects are classically evaluated on standard matrices such as return on investment (ROI), break-even period, and capital invested. To capitalize on the gains offered by digital technologies, CIOs are building technology portfolios by allocating diverse investments based on prospective risk, reward, and value.

Digital Transformation 105

Digital Transformation Experimentation ROI Risk 105

CIO Business Intelligence

JULY 24, 2024

Key strategies for exploration: Experimentation: Conduct small-scale experiments. Data-driven decisions: Leverage data and analytics to assess new technologies’ potential impact and ROI. This approach aligns portfolio governance with business strategy and risk tolerance. Use minimum viable products (MVPs) to validate concepts.

Technology 98

Technology Experimentation Cost-Benefit ROI 98

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. times higher ROI. times higher ROI.

Enterprise 96

Enterprise ROI Risk Strategy 96

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. Its the year organizations will move their AI initiatives into production and aim to achieve a return on investment (ROI). What are the associated risks and costs, including operational, reputational, and competitive?

Experimentation 59

Experimentation ROI Risk Consulting 59

CIO Business Intelligence

MAY 1, 2024

Ready to roll It’s shorter to make a list of organizations that haven’t announced their gen AI investments, pilots, and plans, but relatively few are talking about the specifics of any productivity gains or ROI. Pilots can offer value beyond just experimentation, of course. But where am I going to make money as an organization?”

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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

DataKitchen

MARCH 8, 2023

This requires a culture of innovation, experimentation, and willingness to take risks and try new approaches. It is not enough to just deploy to production quickly; teams need to lower the risk of deployment failure. Does it have ROI? The team must be agile and flexible, able to pivot quickly and adapt to new challenges.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. While there remains a lot we don’t fully understand about AI, including its associated risks, there are many opportunities to take advantage of moving forward in business and life,” he says.

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

CIO Business Intelligence

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 105

IT Digital Transformation IoT Cost-Benefit 105

CIO Business Intelligence

AUGUST 14, 2024

But most licences are for trials, not large scale deployments — usually less than 20% of employees according to Gartner, with early adopters looking at the familiar cost versus ROI equation before expanding. But experimentation to achieve significant results takes time.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

CIO Business Intelligence

APRIL 6, 2022

Large enterprises that have traditionally been risk-averse are now adopting new approaches such as investing in design and innovation studios, partnering with startups for niche capabilities, and gaining early access to technology through strategic partnerships with hyper-scalers. Accelerate Innovation.

Experimentation 103

Experimentation Uncertainty Data Lake Enterprise 103

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. These ROI expectations exist despite many surveyed organisations not having a clear AI strategy.

ROI 59

ROI Experimentation Insurance Strategy 59

CIO Business Intelligence

APRIL 18, 2022

They run the risk of miscommunication and misaligned business, technology, and operational strategy across the CXO team. As much as Young wants to support small and midsize businesses, he says he has to think about the risk to the business and their customers. They invest in cloud experimentation.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

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. Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it.

Metadata 71

Metadata Risk Experimentation Dashboards 71

Occam's Razor

MARCH 23, 2010

For big success you'll need to have a Multiplicity strategy: So when you step back and realize at the minimum you'll also have to use one Voice of Customer tool (for qualitative analysis), one Experimentation tool and (if you want to be great) one Competitive Intelligence tool… do you still want to have two clickstream tools?

Analytics 119

Analytics Consulting Metrics Experimentation 119

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

FineReport

DECEMBER 11, 2019

Effective use of big data helps companies analyze critical information more accurately, ultimately improving operational efficiency, reducing costs, reducing risk, accelerating innovation, and increasing revenue. . – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

DataRobot Blog

NOVEMBER 15, 2022

At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. This allows GCash to maintain the pace of innovation and iteration without exposing the business to significant risk. Closing the Value Gap: Reducing AI Cycle Time. Request a demo.

Big Data 52

Big Data Experimentation Machine Learning Data-driven 52

Ontotext

DECEMBER 6, 2024

Building a RAG prototype is relatively easy, but making it production-ready is hard with organizations routinely getting stuck in experimentation mode. In the process of chasing “RAG everything or plugging LLM integration everywhere into everything, organizations often lose sight of the high compute and low ROI of traditional RAG.

Modeling 59

Modeling Cost-Benefit Experimentation Optimization 59

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

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. A key trend is the adoption of multiple models in production.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. How fast can the model be trained?

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. Nimit Mehta : You are talking about the three big ones: cost, revenue, and risk. And, when you get to the top, it’s about risks and existential threats to the business. Show me the ROI.”

Technology 45

Technology Risk Digital Transformation Measurement 45

CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98