CIO Business Intelligence

APRIL 12, 2024

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. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

Experimentation 141

Experimentation Reporting Testing Statistics 141

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!

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

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

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

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. And those experiments have paid off.

Experimentation 117

Experimentation Strategy Machine Learning Interactive 117

CIO Business Intelligence

AUGUST 30, 2023

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. Such a risk-based capital approach is important as it provides a new experimental push to the organization that may propel it into a new orbit,” says Rabra.

Digital Transformation 95

Digital Transformation Experimentation ROI Risk 95

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. Risks of AI in software development Despite Generative AI’s ability to make developers more efficient, it is not error free. To learn more, visit us here. Artificial Intelligence, Machine Learning

Software 112

Software Experimentation Risk Data Lake 112

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 134

Data-driven Risk Experimentation IT 134

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.

IT 129

IT Risk Cost-Benefit Risk Management 129

Smarten

MAY 17, 2023

Whether you are looking at ChatGPT or Open AI and wondering how it might be applied to your business environment, it is important to understand the current state of this technology, the inherent risks and the possible opportunities. “So, proceed, but don’t over pivot.” “So, proceed, but don’t over pivot.”

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

CIO Business Intelligence

FEBRUARY 8, 2024

Developers need tools and resources to produce quality, safe, and secure products, while enterprises need to trust the tools and resources to not introduce risk to their business. Interacting with AI data or experiences in silos introduces risk and increases inefficiencies because it’s kept separate. Artificial Intelligence

Cost-Benefit 105

Cost-Benefit Experimentation Interactive Risk 105

CIO Business Intelligence

DECEMBER 19, 2023

If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

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 113

Risk Experimentation Marketing Risk Management 113

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.

Management 102

Management Experimentation Optimization Enterprise 102

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.

Experimentation 130

Experimentation Data-driven Risk Optimization 130

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. Fostering a culture of innovation in IT requires you to accept some level of risk. A closed feedback loop with end users at this stage is critical as well.

IT 96

IT Experimentation Digital Transformation Marketing 96

Teradata

OCTOBER 13, 2021

Telcos, their customers, & a range of enterprises are entering a period of experimentation with 5G. The opportunities for innovation & growth are immense – but the costs & risks are outsized too.

Experimentation 52

Experimentation Risk Enterprise 52

CIO Business Intelligence

FEBRUARY 26, 2024

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. To create an environment that fosters innovation, it’s important people are permitted to fail and empowered to take calculated risks.

Experimentation 113

Experimentation Cost-Benefit Digital Transformation Risk 113

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 104

Enterprise ROI Risk Strategy 104

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan’s Athena uses Python-based open-source AI to innovate risk management.

Deep Learning 69

Deep Learning Experimentation Machine Learning Risk 69

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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 Data-driven Machine Learning 52

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.

Cost-Benefit 129

Cost-Benefit Manufacturing Experimentation Risk 129

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

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 75

Metadata Risk Experimentation Dashboards 75

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible.

Digital Transformation 138

Digital Transformation Experimentation Risk Metrics 138

CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation.

Insurance 62

Insurance Experimentation Finance Data Governance 62

O'Reilly on Data

APRIL 4, 2024

The risk of these deals is, again, that a few centrally chosen winners will quickly emerge, meaning there’s a shorter and less robust period of experimentation.

Marketing 153

Marketing Modeling Finance Experimentation 153

Ontotext

MAY 31, 2023

The traditional approach to identifying new targets involves extensive experimentation and trial-and-error, which is often time-consuming, costly and may not yield desirable results. Novel target identification Novel target identification is a crucial step in drug discovery and development.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

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 101

Metadata Risk Risk Management Experimentation 101

Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. This also achieves workload isolation, so we can run mission critical workloads independent from experimental and exploratory ones and nobody steps on anyone’s toes by accident.

Data Warehouse 85

Data Warehouse Experimentation Cost-Benefit Dashboards 85

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 87

Experimentation Digital Transformation Technology Measurement 87

Smart Data Collective

OCTOBER 13, 2021

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. Big data also helps you identify potential business risks and offers effective risk management solutions. As technology improves, the need for businesses to compete increases. Leverage innovation.

Technology 120

Technology Cost-Benefit Experimentation Machine Learning 120

CIO Business Intelligence

NOVEMBER 7, 2022

Have business leaders defined realistic success criteria and areas of low-risk experimentation? Here are several factors to consider: Educate business leaders about their roles in ML projects. Are they involved in pilots and providing feedback?

Machine Learning 124

Machine Learning Data Science Experimentation IoT 124

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 102

Enterprise Experimentation Modeling Data-driven 102

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

JULY 3, 2023

Rather than relying on APIs provided by firms such as OpenAI and the risks of uploading potentially sensitive data to third-party servers, new approaches are allowing firms to bring smaller LLMs inhouse. However, the AI future for many enterprises lies in building and adapting much smaller models based on their own internal data assets.

Management 101

Management Experimentation Modeling Enterprise 101