CIO Business Intelligence

APRIL 6, 2022

Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment. If anything, the past few years have shown us the levels of uncertainty we are facing. This not only supports the acceleration of digital innovation but also prompts customers to become future-ready. .

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

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 support this, we provided data-backed evidence and examples that demonstrated the positive impact of utilizing these technologies.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

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

Cloudera

AUGUST 20, 2020

It’s been a year filled with disruption and uncertainty. It is not, and cannot be about just the technology being used. 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. In fact, this belief is critical.

Enterprise 124

Enterprise Experimentation Uncertainty Deep Learning 124

CIO Business Intelligence

JULY 31, 2023

Some companies have lifted their bans and are allowing limited use of the technology; others have not. 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. The CIO’s job is to ask questions about potential scenarios.

Strategy 98

Strategy Risk Enterprise Risk Management 98

Jet Global

DECEMBER 31, 2019

is the Founder and CEO of Human Future, a global business and technology education, advisory, and investment firm. We spoke with Reichental about the disruptive forces in today’s economy, the imperative to change, and the crucial role of technology. We look well beyond just technology. Jonathan Reichental, Ph.D.,

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

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. However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Mark Raskino

AUGUST 30, 2017

What works in information technology inside Iceland is going to work in China, the United States and elsewhere. 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 almost look at it as a small laboratory.

Testing 53

Testing Experimentation Uncertainty Risk 53

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

SEPTEMBER 19, 2023

A major reason so many digital transformation programs fail is that enterprises view them as technology problems rather than the organizational challenges they truly are. How can enterprises attain these in the face of uncertainty? They should rather manage through experimentation. CIOs can help their enterprises in this area.

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. There’s a lot of overlap between these factors. Conclusion.

Cost-Benefit 294

Cost-Benefit Advertising ROI Machine Learning 294

CIO Business Intelligence

JULY 17, 2023

While several factors have contributed to its success, it is apparent that without a secure technological backbone, this business would not reach the magnitude that it has. I’ve witnessed technology evolve from primitive PCs like the Microsoft DOS to current advancements alongside my own growth.

IT 98

IT Digital Transformation IoT Internet of Things 98

CIO Business Intelligence

AUGUST 25, 2023

With every new claim that AI will be the biggest technological breakthrough since the internet, CIOs feel the pressure mount. 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. AI never sleeps.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

O'Reilly on Data

OCTOBER 13, 2020

Technologies and techniques—such as engineering specifically for GPU/TPU performance and caching—are important tools in the deployment process, but they are also additional components that can fail, and thus be responsible for the failure of an AI product’s core functionality.

Management 244

Management Metrics Machine Learning Modeling 244

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. If you have a high priority project that requires something like that, that’s a technological leap.

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.

Statistics 27

Statistics Uncertainty Risk Marketing 27

O'Reilly on Data

SEPTEMBER 11, 2019

In short, what are the issues, trends, and technologies we should be watching? [1]. In the third place, there’s uncertainty about what to do with all of this data. The challenge is to identify how, when, where, and why to use each of these fit-for-purpose technologies. The term “ML” is No. What gives?

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Cloudera

OCTOBER 8, 2020

Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. It’s not enough to bolt technology onto an existing strategy and consider it transformed. It’s not just about implementing new technologies. Stability during Uncertainty .

Digital Transformation 110

Digital Transformation Experimentation Unstructured Data Uncertainty 110