Decision Management Solutions

DECEMBER 17, 2021

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

Modeling 52

Modeling Experimentation Visualization Risk 52

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

IBM Big Data Hub

MARCH 4, 2024

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. Consider the following: Do you need a public foundation model? times higher ROI. Often, this decision is made too quickly.

Enterprise 107

Enterprise ROI Risk Strategy 107

CIO Business Intelligence

SEPTEMBER 6, 2023

Since ChatGPT’s release in November of 2022, there have been countless conversations on the impact of similar large language models. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered.

Software 119

Software Experimentation Risk Data Lake 119

O'Reilly on Data

APRIL 4, 2024

The race to the top is no longer driven by who has the best product or the best business model, but by who has the blessing of the venture capitalists with the deepest pockets—a blessing that will allow them to acquire the most customers the most quickly, often by providing services below cost.

Marketing 154

Marketing Modeling Finance Experimentation 154

CIO Business Intelligence

APRIL 26, 2023

“Startup” means risk. But despite the high risk/reward framework, these Victory-or-Bust ventures don’t have the market cornered on agility and innovation. More than an experimental group, they hold themselves accountable the same way any startup should. Why not both? The alternative is shuttering for good.

Technology 52

Technology Marketing Experimentation Modeling 52

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 Knowing these lessons before generative AI adoption will likely save time, improve outcomes, and reduce risks and potential costs.

Enterprise 119

Enterprise Experimentation Modeling Data-driven 119

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 98

Enterprise Experimentation Manufacturing Risk 98

IBM Big Data Hub

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. As a result, these technologies quite often lead to the best tools to handle complex challenges across many enterprise use cases. Governments like the U.S.

Deep Learning 72

Deep Learning Experimentation Machine Learning Risk 72

CIO Business Intelligence

FEBRUARY 8, 2024

As technology evolves, individuals and the community collaborate to keep pace. No doubt, AI was the cutting-edge technology in 2023 that everyone was trying to keep pace with. Interacting with AI data or experiences in silos introduces risk and increases inefficiencies because it’s kept separate. Artificial Intelligence

Cost-Benefit 119

Cost-Benefit Experimentation Interactive Risk 119

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 135

Data-driven Risk Experimentation IT 135

Smarten

MAY 17, 2023

If you are a business owner, technology user or a fan of the news media, it would be difficult to avoid the topic of GPT and artificial intelligence (AI) in today’s news cycle. ” If you are like most businesses, you want to get ahead of the competition but, you don’t want to make a misstep or exposure the enterprise to unnecessary risk.

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

O'Reilly on Data

APRIL 19, 2021

Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. Not surprisingly, computers, electronics, and technology topped the charts, with 17% of the respondents. Respondents.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

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

FEBRUARY 21, 2024

CIOs on university campuses across the country have an obligation, as technology leaders, to provide the tools and expertise that staff, administration, and professors require to help fulfill the potential of students, and the university itself. Corporates are spending big on gen AI at the moment.

Recreation/Entertainment 135

Recreation/Entertainment Experimentation Modeling Data-driven 135

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

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. Businesses that decide to adopt AI technology are expected to have an immense advantage, according to 72% of decision-makers surveyed in a recent IBM study.

Metadata 79

Metadata Risk Experimentation Dashboards 79

IBM Big Data Hub

DECEMBER 4, 2023

These include the automation of creative and content-related tasks, the integration of generative AI into existing technology stacks and the increasing adoption of low-code development platforms. And the abundance of data available for training models has opened up vast possibilities for experimentation and learning.

Experimentation 65

Experimentation Modeling Metrics Machine Learning 65

CIO Business Intelligence

MARCH 7, 2023

Vince Kellen understands the well-documented limitations of ChatGPT, DALL-E and other generative AI technologies — that answers may not be truthful, generated images may lack compositional integrity, and outputs may be biased — but he’s moving ahead anyway. You can then move on to editing very quickly, looking for errors and confabulations.”

Enterprise 116

Enterprise IT Experimentation Unstructured Data 116

CIO Business Intelligence

NOVEMBER 7, 2022

A developing playbook of best practices for data science teams covers the development process and technologies for building and testing machine learning models. CIOs and CDOs should lead ModelOps and oversee the lifecycle Leaders can review and address issues if the data science teams struggle to develop models.

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

DataRobot Blog

NOVEMBER 15, 2022

A packed keynote session showed how repeatable workflows and flexible technology get more models into production. Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

IBM Big Data Hub

MAY 25, 2023

The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like HR or marketing, elevate their customer experiences and create new business models.

Consulting 108

Consulting Experimentation Machine Learning Modeling 108

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 141

Risk Manufacturing Enterprise Technology 141

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 102

Metadata Risk Risk Management Experimentation 102

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. Where will the biggest transformation occur first?

Insurance 89

Insurance Experimentation Finance Data Governance 89

CIO Business Intelligence

NOVEMBER 13, 2023

In today’s fast-paced business world, companies are striving to harness the power of digital technologies to reinvent their operations, enhance customer experiences, drive innovation, and thereby create value for stakeholders. But the hard truth is that many digital initiatives fail to deliver results.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

IBM Big Data Hub

APRIL 18, 2024

This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work. However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption.

Cost-Benefit 96

Cost-Benefit Modeling Manufacturing Interactive 96

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 94

Unstructured Data Cost-Benefit Experimentation Machine Learning 94

Cloudera

OCTOBER 18, 2023

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation.

Cost-Benefit 75

Cost-Benefit Testing Machine Learning Optimization 75

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

JULY 31, 2023

Some companies have lifted their bans and are allowing limited use of the technology; others have not. 1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US. How has, say, ChatGPT hit your business model?” This is an issue for CIOs.

Strategy 98

Strategy Risk Enterprise Risk Management 98

CIO Business Intelligence

DECEMBER 29, 2023

With the merging of operational efficiency and embracing new technologies, today’s CIOs are under increasing pressure to do more with less and become both technologists and business leaders, says Sunny Azadeh, CIO at digital services company GlobalLogic. “In

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. Company leadership also creates space and time for employees to innovate by dedicating a team of people to explore emerging technologies, run experiments, and identify business applicability, Crowe says. Here, they and others share seven ways to create and nurture a culture of innovation.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

CIO Business Intelligence

AUGUST 17, 2023

Generative AI is widely regarded as one of the great technology breakthroughs of our time. But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. But overall, we see this as a huge opportunity.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

IBM Big Data Hub

FEBRUARY 1, 2024

Decentralized transaction processing systems, such as distributed ledger technology (DLT), are relevant platforms, but current DLT implementations are generally not scalable enough. As technology evolves, so do privacy regulations and requirements—and agility should be built in.

Experimentation 101

Experimentation Modeling Finance Reporting 101

CIO Business Intelligence

JUNE 28, 2023

“These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As Belcorp operates under a direct sales model in 14 countries. Its brands include ésika, L’Bel, and Cyzone, and its products range from skincare and makeup to fragrances.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

DataRobot Blog

OCTOBER 18, 2022

Monitoring and Managing AI Projects with Model Observability. Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. DataRobot Booth at Big Data & AI Toronto 2022. Monitoring with Machine Learning.

Big Data 96

Big Data Forecasting Experimentation Metrics 96