CIO Business Intelligence

FEBRUARY 23, 2024

The completion of such transformative EV and hydrogen fuel cell engineering — amid uncertainty about which technology will prevail as the industry standard — reflects the one constant American Honda’s VP of IT Bob Brizendine has confronted throughout his 36 years with the company: an ever-changing, winding road that never slows down.

IT 122

IT Manufacturing Unstructured Data Strategy 122

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention. Artificial Intelligence

Enterprise 113

Enterprise Uncertainty Risk Management Reporting 113

CIO Business Intelligence

SEPTEMBER 13, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax As a software developer and coding instructor, Ania Kubow is always informative and engaging. Gearing up to build an app that taps the power of highly capable foundation models is not hard for any modern developer. CHRO, CMO) as the executive sponsor of one such team.

Uncertainty 87

Uncertainty Interactive Strategy Machine Learning 87

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Machine learning adds uncertainty.

Management 339

Management Machine Learning Experimentation Metrics 339

Cloudera

DECEMBER 3, 2021

Systems should be designed with bias, causality and uncertainty in mind. For example, training an interview screening model using education data often contains gender information. As discussed in this article , model design can also be a source of bias too. Model Drift. System Design. Human Judgement & Oversight.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

CIO Business Intelligence

JANUARY 17, 2023

In almost every case, there’s an increased need for data insight and technology-enabled agility to reaffirm technology’s position at the center of investment strategy in order to achieve organizational growth. Shut down the testing environment when you’re not using it. Not necessarily. That’s a core benefit of cloud. An easy example?

Cost-Benefit 138

Cost-Benefit IT Uncertainty Optimization 138

CIO Business Intelligence

SEPTEMBER 22, 2022

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models.

Uncertainty 103

Uncertainty Forecasting Visualization Big Data 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 Belcorp operates under a direct sales model in 14 countries. That, in turn, led to a slew of manual processes to make descriptive analysis of the test results.

Digital Transformation 86

Digital Transformation Cost-Benefit Informatics Data mining 86

CIO Business Intelligence

JULY 7, 2023

This module validates your ability to measure, assess, and develop the Service Desk practice capability using the ITIL Maturity Model. This certification focuses on how IT influences and informs business strategy. You’ll be tested on a situation of your choosing, so the material will be personal to your experience.

Cost-Benefit 97

Cost-Benefit Strategy Management Uncertainty 97

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

DataRobot

APRIL 5, 2021

The uncertainty in her reply piqued my interest. Some claim that fully interpretable models are the solution, that we should constrain the complexity of algorithms so that a layperson can understand them. Some participants were advised of potential model shortcomings due to specific missing inputs.

Uncertainty 96

Uncertainty Machine Learning Modeling Reporting 96

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

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 134

Risk Manufacturing Enterprise Technology 134

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. To facilitate risk modeling in this new normal, agility and flexibility is required. Data Variety. This will only become more important as we move into 2021 and a post-pandemic new normal.

Insurance 95

Insurance Digital Transformation Unstructured Data Machine Learning 95

Jet Global

NOVEMBER 4, 2020

Effective transfer pricing in today’s business climate requires CFOs to pay close attention to the different variables affecting their transfer pricing strategies. Intangible-asset transactions present a challenge when organizations are quantifying prices and profits to serve their transfer pricing models. In the U.S.

Risk 98

Risk Uncertainty Sales Strategy 98

CIO Business Intelligence

JUNE 28, 2022

And to do so, a solid data management strategy is key. More importantly, we also have statistical models that draw error bars that delineate the limits of our analysis. Others are philosophical, testing our ability to reason about abstract qualities. Enterprises are often bumping up to the limits of the field.

Management 132

Management Internet of Things Statistics Data-driven 132

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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? Managing innovation and growth in a fluid environment is one of the biggest challenges for companies.

Digital Transformation 125

Digital Transformation Uncertainty Testing Enterprise 125

CIO Business Intelligence

SEPTEMBER 6, 2023

Today’s business climate is rife with economic uncertainty that is causing IT leaders to do more with less while still innovating to support the business. They also tend to be stable and robust systems owing to thorough vendor testing and years in the market. A composable ERP strategy isn’t all butterflies and rainbows, though.

Strategy 99

Strategy Uncertainty Cost-Benefit Optimization 99

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. It is a big picture approach, worthy of your consideration.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . The coming months are a leadership test for CIOs, and it’s a pass/fail grade.”. Keep calm and lead on.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

O'Reilly on Data

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Technical competence results in reduced risk and uncertainty. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g.,

Cost-Benefit 300

Cost-Benefit Advertising ROI Machine Learning 300

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

CIO Business Intelligence

APRIL 28, 2024

Carbon neutrality and carbon peak strategies are driving the adoption of new energy worldwide. However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources.

Interactive 71

Interactive Uncertainty Data Collection IoT 71

CIO Business Intelligence

FEBRUARY 1, 2023

But getting strategy guidance for his startup from one of the big consultancies would be prohibitively expensive and time-consuming. The Catalant platform enables the immediate connection between business strategy and resources. Business models can also vary widely. You don’t have to carry massive overhead of employees.

Consulting 52

Consulting Uncertainty Management Modeling 52

Jet Global

APRIL 22, 2020

Businesses across the globe are facing a level of uncertainty that didn’t exist just months ago. Explore our interactive infographic to reveal valuable insights on how top CFOs are responding from our recent panel discussion, “How to Navigate Your Business Through This Uncertainty.” Brian Shaw. Chief Financial Officer.

Uncertainty 59

Uncertainty Testing Management Modeling 59

Jet Global

OCTOBER 21, 2020

Companies use forecasting to make critical investments, plan for covenant compliance, and even decide on future mergers and acquisitions (M&A) strategies. Instead, many internal and external inputs to the planning cycle are automated, enabling finance teams to concentrate on scenario modelling rather than data reconciliation.

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. They lack probably what a lot of folks in this room have in terms of domain expertise around data, machine learning, and how these models work. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

DataRobot Blog

JUNE 21, 2022

The last few years have been plagued with uncertainty, making it difficult to navigate everyday life, let alone plan and make thoughtful decisions for a business. By allowing users to build and explore scenarios by adjusting these features, they can test out various outcomes. How would a new wave of a virus impact ER staff allocation?

Forecasting 59

Forecasting Sales Uncertainty Testing 59

Cloudera

NOVEMBER 18, 2021

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). The Cloudera technology has also enabled Bank of the West to experiment and scale faster. Industry Transformation.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

Andrew White

MARCH 6, 2021

Big decisions that impact merges and acquisition, new plant or facilities, new markets and business models all are impacted by global conditions, and they in turn are formed by the conflagration of many short- and long-term cycles and trends. We use models. We have hypothesis and we test them. We guess.

Marketing 52

Marketing Forecasting Uncertainty Strategy 52

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. For example, if a stock has a beta of 1.4

Statistics 27

Statistics Uncertainty Risk Marketing 27

CIO Business Intelligence

FEBRUARY 12, 2024

As genAI caught fire in 2023, many organizations rushed to test and learn from the technology and harness it to grow productivity and improve processes. 2 Key challenges include a shortage of talent and skills (62%), unclear investment priorities (47%), and the lack of a strategy for responsible AI (42%), BCG found.

IT 116

IT Consulting Cost-Benefit Uncertainty 116

The Unofficial Google Data Science Blog

APRIL 16, 2019

Modern products often don't start with set-in-stone business models because starting and scaling costs are low. Such decisions involve an actual hypothesis test on specific metrics (e.g. This is a good use of existing experiment infrastructure, but it is not really an experiment as in hypothesis testing.

Experimentation 68

Experimentation Sales Metrics Measurement 68

bridgei2i

JUNE 11, 2020

If nothing else, this anecdote offers valuable insight into the impact that uncertainty of any kind has on consumer behaviour; it triggers volatility. To navigate this increasingly complex landscape, brought about by COVID-19, business leaders must take into account such fears and craft strategies accordingly.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52