O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.

Management 338

Management Machine Learning Experimentation Metrics 338

CIO Business Intelligence

JULY 5, 2024

So many vendors, applications, and use cases, and so little time, and it permeates everything from business strategy and processes, to products and services. So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation.

ROI 124

ROI Experimentation Risk Strategy 124

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

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. says CIOs should apply agile processes to their gen AI strategy. It’s not a hammer.

Strategy 98

Strategy Risk Enterprise Risk Management 98

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. That’s what it’s like to find a GenAI strategy on top of a poor data infrastructure.

Management 115

Management Experimentation Strategy Data-driven 115

CIO Business Intelligence

OCTOBER 15, 2024

Multicloud architectures, applications portfolios that span from mainframes to the cloud, board pressure to accelerate AI and digital outcomes — today’s CIOs face a range of challenges that can impact their DevOps strategies.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

SEPTEMBER 12, 2024

A product manager is under immense pressure to deliver complex customer insights that could pivot the company’s product strategy. The perils of unsanctioned generative AI The added risks of shadow generative AI are specific and tangible and can threaten organizations’ integrity and security.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

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. This is partly why partnerships have been integral to CBRE’s strategy.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

NOVEMBER 27, 2024

People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

AUGUST 20, 2024

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. This shift in focus requires teams to understand business strategy, market trends, customer needs, and value propositions. What is a high-performance team today?

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. Key takeaway: Cost management strategies are crucial for sustainable AI deployment. Key takeaway: A well-planned integration strategy can smooth the transition and maximize AI benefits.

Consulting 137

Consulting Cost-Benefit Experimentation Optimization 137

CIO Business Intelligence

APRIL 12, 2024

Representatives from Goldman Sachs, JP Morgan Chase, and Morgan Stanley did not immediately respond to requests for comment on their companies’ plans to implement AI or its potential to change their hiring strategies.

Experimentation 143

Experimentation Reporting Testing Statistics 143

CIO Business Intelligence

OCTOBER 3, 2024

The high adoption rate of proprietary LLMs through SaaS APIs (cloud-based) in these organizations indicates a preference to rely on third party vendors to drive the AI strategy and implementation. Medium companies Medium-sized companies—501 to 5,000 employees—were characterized by agility and a strong focus on GenAI experimentation.

Testing 129

Testing Cost-Benefit Experimentation Risk 129

CIO Business Intelligence

JULY 12, 2024

“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. The omnichannel strategy at Ulta has been strong for many years,” she adds. But this doesn’t mean you can just test forever.

Experimentation 124

Experimentation Testing Enterprise Strategy 124

Smart Data Collective

OCTOBER 13, 2021

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. Automating processes can be costly, but it’s a worthy long-term investment that helps businesses align their strategies for streamlined operations. As technology improves, the need for businesses to compete increases.

Technology 131

Technology Cost-Benefit Experimentation Machine Learning 131

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. In addition, the traditional challenges remain.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

AUGUST 15, 2024

Generative AI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

JUNE 21, 2024

The AI data center pod will also be used to power MITRE’s federal AI sandbox and testbed experimentation with AI-enabled applications and large language models (LLMs). We took a risk. based research organization into an “AI-native organization” that provides the most efficient, intelligent, and critical data for government agencies.

Experimentation 134

Experimentation Data mining Reporting Data Processing 134

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. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

OCTOBER 8, 2024

“They must architect technology strategy across data, security, operations, and infrastructure, teaming with business leaders — speaking their language, not tech jargon — to understand needs, imagine possibilities, identify risks, and coordinate investments.” Investing in talent and skills is also critical, he adds. “IT

IT 140

IT Strategy Experimentation Technology 140

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 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

JULY 1, 2024

By documenting cases where automated systems misbehave, glitch or jeopardize users, we can better discern problematic patterns and mitigate risks. Real-time monitoring tools are essential, according to Luke Dash, CEO of risk management platform ISMS.online.

Reporting 129

Reporting Risk Management Experimentation Risk 129

CIO Business Intelligence

NOVEMBER 11, 2024

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. Amazon Web Services, Microsoft Azure, and Google Cloud Platform are enabling the massive amount of gen AI experimentation and planned deployment of AI next year, IDC points out.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].) We use these designs frequently, and so can you.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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 143

Digital Transformation Experimentation Metrics Machine Learning 143

CIO Business Intelligence

AUGUST 5, 2024

Data Security, Privacy, and Accuracy: One of the major hurdles to implementing AI in healthcare is the risk of accidental exposure to private health information. To learn more, visit us here.

Experimentation 124

Experimentation Risk Metadata Data-driven 124

Cloudera

JANUARY 28, 2022

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. However, one strategy is consistently discussed and deployed – a hybrid data cloud. Focus on Business Strategy First.

Slice and Dice 120

Slice and Dice Cost-Benefit Risk Data Governance 120

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. Determining the optimal level of autonomy to balance risk and efficiency will challenge business leaders,” Le Clair said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Knowledge Discovery 95

CIO Business Intelligence

OCTOBER 24, 2024

The long-term impact is even more worrying — companies risk falling behind competitors who are implementing AI strategically. Rosen sees a lot of experimentation without a clear sense of direction, from companies that don’t have a clear idea of what AI projects will match their business needs. The fear of missing out is real.

IT 138

IT Experimentation Measurement Risk 138

CIO Business Intelligence

OCTOBER 3, 2024

It’s a natural fit and will be interesting to see how these ensemble AI models work and what use cases will go from experimentation to production,” says Dyer. However, it would depend on the AI strategy, scalability requirements, and the diversity of the AI workloads anticipated.

Machine Learning 140

Machine Learning Experimentation Insurance Modeling 140

CIO Business Intelligence

DECEMBER 29, 2023

Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. CIOs will feel pressure to help develop strategies around it to stay ahead of competitors and enable their business.”

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

CIO Business Intelligence

JULY 24, 2024

In this article, we’ll dive into each phase, offering actionable strategies to help you master the art of adaptive technology portfolio management. Key strategies for exploration: Experimentation: Conduct small-scale experiments. This approach aligns portfolio governance with business strategy and risk tolerance.

Technology 98

Technology Experimentation Cost-Benefit ROI 98

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

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. Start with technologies like single sign-on and passwordless identity management to remove friction from daily routines,” said Michael Bertha , Partner at Metis Strategy. “To

Measurement 122

Measurement Risk Experimentation Enterprise 122

CIO Business Intelligence

JUNE 13, 2024

Proof that even the most rigid of organizations are willing to explore generative AI arrived this week when the US Department of the Air Force (DAF) launched an experimental initiative aimed at Guardians, Airmen, civilian employees, and contractors.

Testing 119

Testing Experimentation Data Processing Modeling 119