CIO Business Intelligence

JULY 3, 2023

For the last 30 years, the dream of being able to collect, manage and make use of the collected knowledge assets of an organization has never been truly realized. But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality. The knowledge management dream is becoming a reality.

Management 103

Management Experimentation Modeling Enterprise 103

CIO Business Intelligence

AUGUST 16, 2023

Today, state-owned Svevia is the country’s largest company in the operation and maintenance of roads and bridges, and manages over 50% of the road network yet, just like in the construction industry, it’s been relatively late to digitization. CIO, Cloud Management, Data Management, Digital Transformation, IT Leadership

Risk 82

Risk Cost-Benefit Digital Transformation Internet of Things 82

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 361

Marketing Experimentation Metrics Testing 361

Domino Data Lab

MAY 15, 2019

It focuses on his ML product management insights and lessons learned. If you are interested in hearing more practical insights on ML or AI product management, then consider attending Pete’s upcoming session at Rev. I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

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 134

IT Experimentation Risk Testing 134

CIO Business Intelligence

APRIL 12, 2024

This anticipated move could completely transform how these companies hire new employees and how they manage and deliver the technology employees use. Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say.

Experimentation 141

Experimentation Reporting Testing Statistics 141

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.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

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)? Friction occurs when there is resistance to change or to success somewhere in the project lifecycle or management chain. Test early and often. Expect continuous improvement.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

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.” Artificial Intelligence, Staff Management With gen AI, there’s more enthusiasm.

Experimentation 129

Experimentation Forecasting Risk Consulting 129

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. Over time, using machine learning and AI, CBRE has managed to reduce manual lease processing times by 25% and cut positive false alarms in managed commercial facilities by 65%. And those experiments have paid off. And those experiments have paid off.

Experimentation 120

Experimentation Strategy Machine Learning Interactive 120

CIO Business Intelligence

AUGUST 30, 2023

Moreover, enterprises are more inclined these days to focus on shorter horizons rather than big-bang initiatives that take years to provide returns, says Sunil Mehta, CIO at business and management consultancy BDO India. A CIO must take a cautious calculative risk approach.” Companies today don’t want to have three- or five-year plans.

Digital Transformation 97

Digital Transformation Experimentation ROI Risk 97

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. Following are seven steps to guide this transformation for competitive advantage.

IT 131

IT Risk Cost-Benefit Risk Management 131

CIO Business Intelligence

DECEMBER 19, 2023

Productivity improvements will likely come from experimenting with the platforms and tools that embed prompting and other natural language capabilities, while longer-term impacts will come from embedding the company’s intellectual property into privately managed large language models.

Digital Transformation 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

CIO Business Intelligence

AUGUST 2, 2023

The survey found tension between business leaders seeking competitive advantage, and IT leaders wanting to limit risks. Interestingly, non-IT leaders were more likely to report actively using generative AI (73%) than IT leaders (59%), suggesting there’s plenty of experimentation going on beyond the purview of the IT department.

Enterprise 92

Enterprise Experimentation Manufacturing Risk 92

CIO Business Intelligence

MAY 16, 2024

This has led to big claims that run the risk of hype and disappointment down the line. The new AI features are currently being rolled out experimentally to some customers, Camunda said. Business Process Management, Generative AI, Process Improvement They will be added to Camunda 8.5 more generally over the next six months.

Experimentation 95

Experimentation Machine Learning Technology Modeling 95

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

DataKitchen

DECEMBER 1, 2022

DataOps is also about enabling teams to work together more efficiently across organizations and departments to continuously build upon each other’s work and get insights faster; this helps maximize the team’s productivity while minimizing risk. This focus is on how we’ll make data successful in organizations of all sizes.

Experimentation 130

Experimentation Data-driven Risk Optimization 130

CIO Business Intelligence

APRIL 24, 2024

Brkovich, who also teaches a financial management class for CIOs at Carnegie Mellon University, says, in his experience, the relationship between the CIO and the CFO is the most important relationship a CIO has. The most successful CIOs are those who spend time and energy on financial management,” he says.

Sales 123

Sales Finance Experimentation Cost-Benefit 123

CIO Business Intelligence

FEBRUARY 26, 2024

Empower employees to gain skills in data science, data analytics, ML, and project management. Embedding innovation into an organization often requires a change in mindset — one where experimentation is rewarded, and failed projects are seen as an important part of the learning process.

Experimentation 116

Experimentation Cost-Benefit Digital Transformation Risk 116

CIO Business Intelligence

MAY 30, 2024

Another gen AI application winning over CIOs is its knack for coding, according to Alessio Maffei, ICT manager of Milan-based student and family-focused travel company Inter-studioviaggi. “At I’ve given colleagues the freedom to do research and experimentation together with our automation partner Mauden,” says Ciuccarelli. “We

Cost-Benefit 96

Cost-Benefit Sales Modeling Experimentation 96

CIO Business Intelligence

APRIL 14, 2023

But just like other emerging technologies, it doesn’t come without significant risks and challenges. According to a recent Salesforce survey of senior IT leaders , 79% of respondents believe the technology has the potential to be a security risk, 73% are concerned it could be biased, and 59% believe its outputs are inaccurate.

Risk 116

Risk Experimentation Marketing Risk Management 116

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 74

Metadata Risk Experimentation Dashboards 74

CIO Business Intelligence

JULY 28, 2023

In addition to bottom-line benefits, employees are often inspired and motivated by innovation – seeking job opportunities that encourage experimentation and embrace new ideas. To manage this data at scale, IT teams should invest in a modern data stack and build out a world-class architecture to maintain an agile edge as the company grows.

IT 97

IT Experimentation Digital Transformation Marketing 97

CIO Business Intelligence

NOVEMBER 15, 2022

Gartner’s managing VP Mary Mesaglio said she remained optimistic for tech investments, with the latest crisis offering CIOs yet another opportunity to “make the difference”. But released the next day, the 2023 Gartner CIO and Technology Executive Survey revealed that EMEA-based CIOs expect IT budgets to increase 4.4% global inflation rate.

Digital Transformation 138

Digital Transformation Experimentation Risk Metrics 138

Decision Management Solutions

MARCH 26, 2020

Some approaches have never been tried on certain segments – higher risk customers might never have been targeted with price reductions, say. Experimentation at the beginning of your journey is essential to make sure you understand where you are starting. Invest some time learning about experimental design and run your own.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

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 99

Metadata Risk Risk Management Experimentation 99

CIO Business Intelligence

JULY 7, 2023

As more individuals use browser-based apps to get their work done, IT leaders need to provide seamless access to corporate apps and tools while minimizing security risks. Dealing with the end-user experience and information security is a delicate balancing act,” said Ben Rothke ( @benrothke ), Senior Information Security Manager at Tapad.

Measurement 109

Measurement Risk Experimentation Enterprise 109

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. Otherwise, the risks become too significant.

Enterprise 100

Enterprise ROI Risk Strategy 100

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Cost-Benefit 139

Cost-Benefit Metrics Insurance Measurement 139

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 307

Enterprise Deep Learning Data Governance Risk 307

CIO Business Intelligence

APRIL 15, 2024

No one wants to implement AI that has a high risk of bias,” he says. “We Given the speed required, Lowden established a specialized team for the project to encourage a culture of experimentation and “moving fast to learn fast.” “You We were careful to lay out governance and controls around those things. We don’t write all the code.

Testing 77

Testing Experimentation Data Quality Machine Learning 77

CIO Business Intelligence

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. In fact, for security, compliance, and efficiency reasons, CIOs will want to carefully manage which data generative AI has access to.

IT 142

IT Metadata Data-driven Management 142

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. Sara added that driving digital transformation was not just a technology initiative—but rather an all-encompassing change management exercise. Closing the Value Gap: Reducing AI Cycle Time.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

CIO Business Intelligence

JANUARY 9, 2024

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. Knowing these lessons before generative AI adoption will likely save time, improve outcomes, and reduce risks and potential costs.

Enterprise 106

Enterprise Experimentation Modeling Data-driven 106

DataRobot Blog

MARCH 16, 2023

Why model-driven AI falls short of delivering value Teams that just focus model performance using model-centric and data-centric ML risk missing the big picture business context. New Snowflake integrations and the SAP joint solution have tightened the data to experimentation to deployment loop.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

CIO Business Intelligence

AUGUST 25, 2023

In this conversation with Foundry, Mitali discusses the accelerated importance of technology in healthcare, on enabling healthcare providers with data and why her team isn’t afraid of experimentation. Implementing it on the clinical side will take additional trials, because we cannot risk anything in that area.

Experimentation 88

Experimentation Digital Transformation Technology Measurement 88

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already.

Risk 134

Risk Manufacturing Enterprise Technology 134