The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

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

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 Machine Learning Experimentation Data-driven 143

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 96

Experimentation Statistics Testing Knowledge Discovery 96

CIO Business Intelligence

SEPTEMBER 19, 2023

He believes he can demystify digital transformation and put corporate leaders on the right path as they rethink their business strategy for the digital era. How can enterprises attain these in the face of uncertainty? They should rather manage through experimentation. Where does the CIO role fit in the scheme of things?

Digital Transformation 130

Digital Transformation Uncertainty Testing Enterprise 130

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Change Management, Innovation, IT Leadership, IT Strategy

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

Cloudera

OCTOBER 8, 2020

It’s not enough to bolt technology onto an existing strategy and consider it transformed. It is the engine that dictates how fast you can move your strategy. A disruptive mindset creates an environment that embraces constant experimentation and change. Stability during Uncertainty . Charlene is a titan in the field.

Digital Transformation 106

Digital Transformation Unstructured Data Experimentation Uncertainty 106

CIO Business Intelligence

JANUARY 2, 2024

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024.

IT 144

IT Cost-Benefit Statistics Consulting 144

CIO Business Intelligence

APRIL 6, 2022

If anything, the past few years have shown us the levels of uncertainty we are facing. For example, Infosys and AWS built a joint strategy for quantum computing applications on circuit simulators and quantum hardware technologies using Amazon Braket.

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

CIO Business Intelligence

AUGUST 25, 2023

It’s around these four work streams that leading organizations are positioning themselves to mature their data strategies and, in doing so, answer not only today’s AI questions but tomorrow’s. You need to re-envision business strategies with the exponential scale of AI in mind,” he says. You can’t wrangle AI by yourself.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

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

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 Follow a value-focused strategy. To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

CIO Business Intelligence

JULY 17, 2023

How do you foster a culture of innovation and experimentation in your team to ensure consistent learning, and achievement of your digital transformation goals? While this can be challenging, I do believe that’s the way to guide them, as that makes them well-equipped to manage the uncertainties that come with this mantle.

IT 98

IT Digital Transformation IoT Internet of Things 98

Jet Global

DECEMBER 31, 2019

Among several services my organization provides; we help individuals, enterprises, and public agencies plan, prepare, and manage through the uncertainty, demands, and challenges of the future. If a data strategy is not being executed today, you’re already late. Organizations need to become really comfortable with experimentation.

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. The AGI would need to handle uncertainty and make decisions with incomplete information.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

Statistics 30

Statistics Uncertainty Risk Marketing 30

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.

Experimentation 69

Experimentation Sales Metrics Measurement 69

CIO Business Intelligence

NOVEMBER 4, 2024

AI governance frameworks and platforms Travelers is another large enterprise that has been developing its AI governance strategy for some time, says Mojgan LeFebvre, the company’s EVP and chief technology and operations officer. “As

Uncertainty 137

Uncertainty Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

APRIL 16, 2025

In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT.

Enterprise 115

Enterprise Strategy Risk Business Objectives 115

CIO Business Intelligence

APRIL 22, 2025

Many IT leaders undervalue the importance of partnering closely with business peers and speaking the language of strategy and outcomes. These core leadership capabilities empower executives to navigate uncertainty, lead with empathy and foster resilience in their organizations. EQ helps foster teamwork, empathy and resilience.

Technology 94

Technology Uncertainty Experimentation Risk Management 94

CIO Business Intelligence

JANUARY 23, 2025

By Bryan Kirschner, Vice President, Strategy at DataStax Insight, expertise, and know-how. And while its beyond the scope of this article, the applicable knowledge gained through our hands-on experimentation with genAI was head and shoulders above simple web searches (e.g., Discernment, comprehension, and adeptness.

Experimentation 116

Experimentation Uncertainty Data-driven Digital Transformation 116

CIO Business Intelligence

DECEMBER 23, 2024

AI investment and pressure grew upward As AI has moved from emerging to mainstream, and organizations matured in their ability to harness AIs potential over the past year or two, CEOs now expect less experimentation and more AI projects that deliver outcomes with measurable business value. As a result, CIOs cant slow down at all.

IT 134

IT Strategy Technology Experimentation 134

CIO Business Intelligence

NOVEMBER 12, 2024

Measure the impact of software developers by how teams meet release commitments, promote design peer reviews, and demonstrate the impacts of experimentation. Top CIOs develop communication strategies and schedule regular dialogs with their teams. They should be active listeners so their teams can share feedback and ideas.

IT 140

IT Digital Transformation Management Experimentation 140

Timo Elliott

FEBRUARY 7, 2025

Economic uncertainty, geopolitical instability, and the explosion of AI-driven initiatives mean that enterprise architects must redefine their roles to remain relevant and valuable. Cost-benefit and trade-off analysis evaluating alternative technology strategies based on business impact.

Enterprise 52

Enterprise IT Digital Transformation Cost-Benefit 52

O'Reilly on Data

APRIL 15, 2025

This strategy reframes how we think about AI development progress. Instead of committing to specific outcomes, they commit to a cadence of experimentation, learning, and iteration. This approach gives stakeholders clear decision points while acknowledging the inherent uncertainty in AI development.

Experimentation 299

Experimentation Testing Metrics Measurement 299