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. Elixirr Consulting.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

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 94

Cost-Benefit Modeling Manufacturing Interactive 94

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

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

Carmichael asks, noting that some companies have already lost significant market value as they faced sudden competition from gen AI. There’s a lot of uncertainty. Business disruption Generative AI is a disruptive technology, so CIOs and their C-suite colleagues must consider whether or how their company will fall victim to that force.

Strategy 98

Strategy Risk Enterprise Risk Management 98

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

Occam's Razor

APRIL 8, 2013

Experiments come in all shapes and sizes: A marketing campaign. Try to understand your market. Read up on ways that companies are growing their business, from growth hacking to content marketing, and use that as inspiration. They might deal with uncertainty, but they're not random. Do it now; we'll wait.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. There’s a lot of overlap between these factors.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

O'Reilly on Data

OCTOBER 13, 2020

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing.

Management 244

Management Metrics Machine Learning Modeling 244

CIO Business Intelligence

AUGUST 25, 2023

Your journey will be fruitful only to the extent that you can instill in those with whom you go to market a digital fluency and a confidence in your ecosystem. Next, examine the market. Compare and contrast what’s available in the market to your top-ranked use cases and the capabilities you already have.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

CIO Business Intelligence

JULY 17, 2023

Technology has enabled us to operate in a very cost competitive market, allowing us to do more with fewer people. How do you foster a culture of innovation and experimentation in your team to ensure consistent learning, and achievement of your digital transformation goals? We are working on similar projects for supply chain as well.

IT 98

IT Digital Transformation IoT Internet of Things 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

DataRobot Blog

OCTOBER 4, 2022

This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. In the last few years, businesses have experienced disruptions and uncertainty on an unprecedented scale.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

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

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. on average. on average.

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. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. The expected precision of our inferences can be computed by simulating possible experimental outcomes. In the U.S.,

Advertising 42

Advertising Testing Sales Statistics 42

Cloudera

OCTOBER 8, 2020

That’s the message from our Chief Marketing Officer Mick Hollison discussing digital transformation with Charlene Li at Cloudera Now. . A disruptive mindset creates an environment that embraces constant experimentation and change. Stability during Uncertainty . Charlene is a titan in the field.

Digital Transformation 103

Digital Transformation Experimentation Unstructured Data Uncertainty 103