Smart Data Collective

OCTOBER 13, 2021

The market for AI technology is growing remarkably. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors. AI technology helps businesses respond to change and new business opportunities effectively. Leverage innovation.

Technology 131

Technology Cost-Benefit Experimentation Machine Learning 131

O'Reilly on Data

MARCH 18, 2020

More than half of respondent organizations identify as “mature” adopters of AI technologies: that is, they’re using AI for analysis or in production. The sample is far from tech-laden, however: the only other explicit technology category—“Computers, Electronics, & Hardware”—accounts for less than 7% of the sample. But what kind?

Enterprise 315

Enterprise Deep Learning Data Governance Risk 315

O'Reilly on Data

APRIL 19, 2021

Not surprisingly, computers, electronics, and technology topped the charts, with 17% of the respondents. We’ll look at this later, but being able to reproduce experimental results is critical to any science, and it’s a well-known problem in AI. AI technologies used in mature practices. Bottlenecks to AI adoption. form data).

Enterprise 358

Enterprise Risk Modeling Manufacturing 358

CIO Business Intelligence

DECEMBER 4, 2024

At AWS re:Invent Tuesday, JPMorgan Chase Global CIO Lori Beer detailed the evolving partnership between the financial services giant and AWS, which finds JPMorgan pushing the AWS SageMaker machine learning platform and AWS Bedrock generative AI platform beyond experimentation into production applications.

Experimentation 122

Experimentation Risk Marketing Enterprise 122

CIO Business Intelligence

JULY 24, 2024

This stark reality underscores a critical challenge facing CIOs: building and maintaining a technology portfolio that’s not just cutting-edge but also delivers tangible value. Enter the Technology Investment Matrix — a holistic approach that spans four key phases: exploration, exploitation, evolution, and elimination.

Technology 98

Technology Experimentation Cost-Benefit ROI 98

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.

Management 338

Management Machine Learning Experimentation Metrics 338

CIO Business Intelligence

JULY 5, 2024

As a disruptive technology, it’s being felt in terms of both its magnitude and frequency of change. One of the unusual challenges with gen AI as a technology, however, is it’s currently in mainstream adoption yet still at the peak of the hype cycle. In this regard, gen AI is no different from other technologies.

ROI 124

ROI Experimentation Risk Strategy 124

CIO Business Intelligence

AUGUST 20, 2024

These teams focused on delivering reliable technology capabilities, improving end-user experiences, and establishing data and analytics capabilities. 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.

IT 141

IT Digital Transformation Experimentation Risk 141

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 299

Advertising Cost-Benefit ROI Machine Learning 299

CIO Business Intelligence

JUNE 24, 2024

What revolutionary technology were they referring to? But in the short run, we risk building an astonishing, awe-inspiring technology that few use. Just look at Apple’s Vision Pro as a tale of a brilliant piece of technology that the world is still trying to wrap its mind around. The Segway.

Risk 141

Risk Experimentation Enterprise Technology 141

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 142

Data-driven Risk Experimentation IT 142

CIO Business Intelligence

AUGUST 16, 2023

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. Digital alerts Another project deals with slow-moving vehicles, something that increases the risk of accidents on the roads. This leads to environmental benefits and fewer transports.

Risk 98

Risk Cost-Benefit Digital Transformation Internet of Things 98

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 143

Experimentation Reporting Testing Statistics 143

CIO Business Intelligence

NOVEMBER 11, 2024

While the ROI of any given AI project remains uncertain , one thing is becoming clear: CIOs will be spending a whole lot more on the technology in the years ahead. Research firm IDC projects worldwide spending on technology to support AI strategies will reach $337 billion in 2025 — and more than double to $749 billion by 2028.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

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.

Management 115

Management Experimentation Strategy Data-driven 115

CIO Business Intelligence

NOVEMBER 27, 2024

Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology. Technology: The workloads a system supports when training models differ from those in the implementation phase. To succeed, Operational AI requires a modern data architecture.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

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

CIO Business Intelligence

OCTOBER 24, 2024

And it’s not just an employee perception issue, says Sriram Nagaswamy, executive vice president for technology at supply chain visibility platform vendor FourKites. Launching AI projects for show can lead to doubts about the technology, even though AI has great potential in supply chain management and other areas, he adds.

IT 138

IT Experimentation Measurement Risk 138

CIO Business Intelligence

AUGUST 5, 2024

This is largely due to widespread skepticism regarding ambitious claims about AI’s potential to revolutionize cancer treatment, coupled with the relatively slow integration of AI technologies across various healthcare disciplines. Concerns about data security, privacy, and accuracy have been at the forefront of these discussions.

Experimentation 124

Experimentation Risk Metadata Data-driven 124

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. As the gen AI hype subsides, Stephenson sees IT leaders reevaluating their strategies in favor of other AI technologies.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

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.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

JULY 12, 2024

About six years ago, Ulta Beauty formed a dedicated innovation team to identify technologies that resonate to improve the customer experience. 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.

Experimentation 124

Experimentation Testing Enterprise Strategy 124

CIO Business Intelligence

NOVEMBER 15, 2022

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% Invest in AI augmentation: Employees require tools and technologies that empower them and increase the impact of their work. on average over the next year, somewhat lower than the projected 6.5%

Digital Transformation 143

Digital Transformation Experimentation Metrics Machine Learning 143

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. To bridge this gap, CIOs and technology leaders must not only identify the barriers but also adopt strategic approaches to improve the success rate and deliver real business value from GenAI initiatives.

Consulting 137

Consulting Cost-Benefit Experimentation Optimization 137

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.

Forecasting 135

Forecasting Experimentation Risk Consulting 135

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. Agile Development

Cost-Benefit 142

Cost-Benefit Manufacturing Experimentation Risk 142

CIO Business Intelligence

JULY 1, 2024

Shortcomings in incident reporting are leaving a dangerous gap in the regulation of AI technologies. By documenting cases where automated systems misbehave, glitch or jeopardize users, we can better discern problematic patterns and mitigate risks. Incident reporting can help AI researchers and developers to learn from past failures.

Reporting 129

Reporting Risk Management Experimentation Risk 129

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 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

JUNE 21, 2024

Its researchers have long been working with IBM’s Watson AI technology, and so it would come as little surprise that — when OpenAI released ChatGPT based on GPT 3.5 in late November 2022 — MITRE would be among the first organizations looking to capitalize on the technology, launching MITREChatGPT a month later. We took a risk.

Experimentation 134

Experimentation Data mining Reporting Data Processing 134

CIO Business Intelligence

SEPTEMBER 6, 2023

While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. However, despite its intelligence and benefits to automating pipelines, the technology is still far from completely replacing human developers.

Software 119

Software Experimentation Risk Uncertainty 119

CIO Business Intelligence

OCTOBER 3, 2024

As the technology matures, we’re also learning more about its potential, shortcomings, and barriers to entry—ethical considerations, accuracy, hallucinations, and more. A recently conducted survey by Gradient Flow explores the state of GenAI in healthcare, an industry that’s been on the pulse of the technology since inception.

Testing 129

Testing Cost-Benefit Experimentation Risk 129

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.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

MARCH 7, 2023

But the faster transition often caused underperforming apps, greater security risks, higher costs, and fewer business outcomes, forcing IT to address these issues before starting app modernizations. CIOs should consider technologies that promote their hybrid working models to replace in-person meetings.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

CIO Business Intelligence

OCTOBER 8, 2024

An IBM report based on the survey, “6 blind spots tech leaders must reveal,” describes the huge expectations that modern IT leaders face: “For technology to deliver enterprise-wide business outcomes, tech leaders must be part mastermind, part maestro,” the report says.

IT 140

IT Strategy Experimentation Technology 140

CIO Business Intelligence

AUGUST 30, 2023

But as organizations look to quickly leverage the power of emerging digital technologies for business growth, such an approach is falling short on expectations. 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

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 122

Risk Experimentation Marketing Risk Management 122