The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

JUNE 25, 2024

As workers face heightened uncertainty, rising workloads, and continue to confront financial stress, they are prioritizing skills growth and embracing new and emerging technologies such as generative AI to accelerate their careers,” Carol Stubbings, Global Markets and Tax & Legal Services Leader at PwC UK said in the report.

Uncertainty 122

Uncertainty Reporting Experimentation Technology 122

O'Reilly on Data

OCTOBER 13, 2020

Emmanuel Ameisen again offers a useful framework for defining errors in AI/ML applications: “…three areas in particular are most important to verify: inputs to a pipeline, the confidence of a model and the outputs it produces.” Proper AI product monitoring is essential to this outcome. I/O validation.

Management 314

Management Machine Learning Metrics Modeling 314

CIO Business Intelligence

NOVEMBER 9, 2023

The pattern for success at learning how to create value safely and responsibly is a mindful culture of experimentation and thoughtful “learning by doing.” He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. But the jury is already in on generative AI.

Experimentation 134

Experimentation Uncertainty Strategy Machine Learning 134

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. on average over the next year, somewhat lower than the projected 6.5%

Digital Transformation 143

Digital Transformation Machine Learning Experimentation Metrics 143

CIO Business Intelligence

JULY 17, 2023

Selling sweet treats to millions of Indians since 1944, India’s beloved ice-cream brand, Havmor (now part of Korean conglomerate LOTTE), has grown beyond its humble beginnings to stupefying heights. Sweet delicacies are a kid’s delight, but managing a business this big is no child’s play. When did you career begin?

IT 98

IT Digital Transformation IoT Internet of Things 98

CIO Business Intelligence

SEPTEMBER 6, 2023

The use of AI-generated code is still in an experimental phase for many organizations due to numerous uncertainties such as its impact on security, data privacy, copyright, and more. AI won’t replace developers Generative AI has introduced a level of software development speed that didn’t exist before.

Software 119

Software Risk Experimentation Uncertainty 119

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

CIO Business Intelligence

SEPTEMBER 19, 2023

How can enterprises attain these in the face of uncertainty? Rogers: This is one of two fundamental challenges of corporate innovation — managing innovation under high uncertainty and managing innovation far from the core — that I have studied in my work advising companies and try to tackle in my new book The Digital Transformation Roadmap.

Digital Transformation 130

Digital Transformation Uncertainty Testing Enterprise 130

Cloudera

AUGUST 20, 2020

It’s been a year filled with disruption and uncertainty. Acceptance that it will be an experiment — ML really requires a lot of experimentation, and often times you don’t know what’s going to be successful. 2020 may well go down as the year where what seems impossible today, did become possible tomorrow.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

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. “I What didn’t change was the need for organizations to continue to move forward with digital initiatives.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

AWS Big Data

SEPTEMBER 5, 2024

Intuitively, for some extremely short user inputs, the vectors generated by dense vector models might have significant semantic uncertainty, where overlaying with a sparse vector model could be beneficial. The full code is available in the github repo aws-samples/opensearch-dense-spase-retrieval. You can get its model ID from the response.

Metrics 106

Metrics Testing Experimentation Modeling 106

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. But it is not routine. So, how do we fix this problem?

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

CIO Business Intelligence

APRIL 6, 2022

If anything, the past few years have shown us the levels of uncertainty we are facing. Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment. They contain maker spaces, which are physical-digital immersive experiences within their hubs across several industry segments.

Experimentation 103

Experimentation Uncertainty Data Lake Enterprise 103

Cloudera

OCTOBER 8, 2020

A disruptive mindset creates an environment that embraces constant experimentation and change. Stability during Uncertainty . Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. Charlene is a titan in the field. trillion a year.

Digital Transformation 106

Digital Transformation Unstructured Data Experimentation Uncertainty 106

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 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

AUGUST 25, 2023

This demonstrates how his team stays in lockstep with the business on investment priorities in a period where economic uncertainty has narrowed the scope of technology investment. Search first for vertical-specific and enterprise-wide AI solutions. Categorize them by the capabilities they support. That’s the way you want it. Looking forward.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

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

Mark Raskino

AUGUST 30, 2017

He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. Ponder for a moment – where in the world did you expect to see that happen? In the end it wasn’t Palo Alto, Seattle, London, Tokyo, Shanghai, Mumbai, Amsterdam or Sydney.

Testing 53

Testing Experimentation Uncertainty Risk 53

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. Organizations need to become really comfortable with experimentation. What kinds of challenges do they face along the way? You Deserve a Break.

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

CIO Business Intelligence

JULY 31, 2023

No good guidance yet As CIOs seek to bring control and risk management to technology that’s generating widespread interest and plenty of experimentation, they’re doing so without pre-existing guidance and support. Many companies are sitting in the middle of the do-we-block-it-or-do-we-allow-it discussion.” When should I use it?

Strategy 98

Strategy Risk Enterprise Risk Management 98

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. Imagine a self-driving car piloted by an AGI. It cannot only pick up a passenger from the airport and navigate unfamiliar roads but also adapt its conversation in real time.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

DataRobot Blog

OCTOBER 4, 2022

In the last few years, businesses have experienced disruptions and uncertainty on an unprecedented scale. This automation drastically reduces model building, testing, evaluation and deployment time, promotes creativity, and enables rapid experimentation for time-sensitive use cases. Managing Through Socio-Economic Disruption.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation. Note also that this account does not involve ambiguity due to statistical uncertainty. the power grid, a streaming music service, the human body, the weather).

Slice and Dice 46

Slice and Dice Experimentation Data-driven Data Science 46

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. We might be interested in comparing, for example, different subscription offers, different versions of terms and conditions, or different user interfaces. What does it take to estimate the impact of online exposure on user behavior?

Advertising 43

Advertising Testing Sales Statistics 43

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 31

Statistics Uncertainty Risk Marketing 31

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

O'Reilly on Data

SEPTEMBER 11, 2019

Spark has emerged as the general-purpose data processing engine of choice; interest in Hadoop is waning, although reports of its death are greatly exaggerated. We focused this list on important industry terms and terms showing notable year-over-year changes. ML and AI topics claim top spots. Strata has changed significantly since its inception.

IoT 23

IoT Big Data Data Warehouse Uncertainty 23

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant. The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. At Google, we tend to refer to them as slices.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

CIO Business Intelligence

NOVEMBER 4, 2024

As such, we have gone to great lengths to ensure that we’re involving the right stakeholders in the governance process itself.” That cross-functional effort is key, experts and IT leaders say. Like many enterprises, TruStone has deployed a companywide generative AI platform for policies and procedures branded as TruAssist. The challenges? “AI

Uncertainty 137

Uncertainty Cost-Benefit Risk Experimentation 137

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. Transformational CIOs recognize the importance of IT culture in delivering innovation, accelerating business impacts, and reducing operational and security risks.

IT 140

IT Digital Transformation Management Experimentation 140

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. Heres what they say.

IT 134

IT Strategy Technology Experimentation 134

CIO Business Intelligence

JANUARY 23, 2025

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., He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. I am a caring father.

Experimentation 116

Experimentation Uncertainty Data-driven Digital Transformation 116

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. The Challenge for Enterprise Architects Enterprise Architecture (EA) is at a crossroads. Unfortunately, many EA teams are failing to evolve fast enough.

Enterprise 52

Enterprise IT Digital Transformation Cost-Benefit 52