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 Iliya Rybchin, partner, Elixirr Consulting.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

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

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 95

Cost-Benefit Modeling Manufacturing Interactive 95

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

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

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

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. automated retirement portfolio rebalancing and maximized ROI).

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

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. Next, examine the market. You can’t wrangle AI by yourself. Search first for vertical-specific and enterprise-wide AI solutions.

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

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

Cloudera

OCTOBER 8, 2020

It’s not enough to bolt technology onto an existing strategy and consider it transformed. That’s the message from our Chief Marketing Officer Mick Hollison discussing digital transformation with Charlene Li at Cloudera Now. . It is the engine that dictates how fast you can move your strategy. Stability during Uncertainty .

Digital Transformation 101

Digital Transformation Experimentation Unstructured Data Uncertainty 101