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 Experimentation Risk Metrics 143

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

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

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 99

Digital Transformation Cost-Benefit Informatics Data mining 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 140

Risk Manufacturing Enterprise Technology 140

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 120

Enterprise Experimentation Uncertainty Deep Learning 120

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 95

Experimentation Data Lake Uncertainty Enterprise 95

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

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

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 93

Cost-Benefit Modeling Manufacturing Interactive 93

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

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

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 96

IT Digital Transformation IoT Internet of Things 96

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 156

Metrics KPI Analytics Key Performance Indicator 156

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

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. Goals should be defined specifically and at a granular level for each stakeholder and relevant use case. Conclusion.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

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 244

Management Metrics Machine Learning Modeling 244

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

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

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

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 45

Slice and Dice Experimentation Data-driven Data Science 45

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

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 42

Advertising Testing Sales Statistics 42

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 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 . 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 101

Digital Transformation Experimentation Unstructured Data Uncertainty 101