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 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

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 102

Digital Transformation Cost-Benefit Informatics Data mining 102

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

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 123

Enterprise Experimentation Uncertainty Deep Learning 123

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.

Experimentation 99

Experimentation Data Lake Uncertainty Enterprise 99

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

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 41

Experimentation Statistics Metrics Measurement 41

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?

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

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. You can connect social groups, economic groups and communities, which would be extraordinarily cumbersome and time-consuming in bigger societies”.

Testing 53

Testing Experimentation Uncertainty Risk 53

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. There’s a lot of uncertainty. People are thinking, ‘How is this going to affect my career? Do I need to reskill?’”

Strategy 98

Strategy Risk Enterprise Risk Management 98

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 61

Cost-Benefit Modeling Manufacturing Interactive 61

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 95

Experimentation Statistics Testing Strategy 95

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 129

Digital Transformation Uncertainty Testing Enterprise 129

Occam's Razor

APRIL 8, 2013

They might deal with uncertainty, but they're not random. Advanced Analytics Big Data Digital Analytics Web Analytics Web Insights Web Metrics actionable analytics business optimization experimentation and testing key performance indicators'

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable. There’s a lot of overlap between these factors.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

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

O'Reilly on Data

OCTOBER 13, 2020

In this article, we focused on the importance of collaboration between product and engineering teams, to ensure that your product not only functions as intended, but is also robust to both the degradation of its effectiveness and the uncertainties of its operating environment.

Management 243

Management Metrics Machine Learning Modeling 243

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. “Because it’s fast, you can run proofs of concept for not massive investments.” That’s the way you want it.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

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 68

Experimentation Sales Metrics Measurement 68

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

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 40

Experimentation Metrics Statistics Measurement 40

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

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 27

Statistics Uncertainty Risk Marketing 27

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. We sliced and diced the experimental data in many many ways.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Measurement 45

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. The expected precision of our inferences can be computed by simulating possible experimental outcomes. Wouldn't it be great if we didn't require individual data to estimate an aggregate effect?

Advertising 42

Advertising Testing Sales Statistics 42

O'Reilly on Data

SEPTEMBER 11, 2019

In the third place, there’s uncertainty about what to do with all of this data. This year’s Strata NY proposals capture this change—with all its uncertainty: technologists grappling with how to move, engineer, and persist all of this data, along with the challenge of identifying and refining specific business use cases for which it is useful.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Cloudera

OCTOBER 8, 2020

A disruptive mindset creates an environment that embraces constant experimentation and change. Stability during Uncertainty . Businesses that successfully transform, like Adobe, have a lot of organizational structure, process, and culture that focuses on supporting a disruptive mindset.

Digital Transformation 108

Digital Transformation Experimentation Unstructured Data Uncertainty 108