CIO Business Intelligence

DECEMBER 18, 2023

Other fears cover compliance with emerging AI regulations and the risk of models becoming contaminated or biased through adversarial attacks. As some executives suggested, it would benefit the enterprise more to monitor the AI traffic at an aggregate (not employee-specific) level to understand the risks of public LLM usage.

Enterprise 119

Enterprise Management Risk Uncertainty 119

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. But what will the impacts of climate change be in the future?

Modeling 123

Modeling Forecasting Reporting Risk 123

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

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

DECEMBER 5, 2023

Economic uncertainty, increased competition, sustainability concerns, shareholder expectations, and regulatory challenges are also top of mind. Revisit the project portfolio Strong demand management is essential for sustainable IT cost optimization, says Anja Allen, principal in EY Americas’ technology consulting practice.

IT 138

IT Cost-Benefit Digital Transformation ROI 138

CDW Research Hub

OCTOBER 19, 2021

Optimal use of capital, maintaining disciplined capital allocation prioritization. Founded in 1980 with headquarters in San Antonio, TX, Sirius is a privately held, leading national solutions integrator focused on helping organizations transform their business by managing their operations, optimizing their IT, and securing it all.

Uncertainty 102

Uncertainty Sales Finance Cost-Benefit 102

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

APRIL 18, 2024

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. The AGI would need to handle uncertainty and make decisions with incomplete information.

Cost-Benefit 96

Cost-Benefit Modeling Manufacturing Interactive 96

datapine

MAY 31, 2022

This increases the risks that can arise during the implementation or management process. The risks of cloud computing have become a reality for every organization, be it small or large. That’s why it is important to implement a secure BI cloud tool that can leverage proper security measures. Cost management and containment.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

SEPTEMBER 12, 2022

One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

Sisense

OCTOBER 6, 2020

Smart use of your data can be the key to optimizing processes, identifying new opportunities, and gaining or keeping a competitive edge. Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

bridgei2i

JUNE 3, 2020

Consumers feel threatened by the prolonged uncertainty, not having had to deal with anything like it, in their lives. Demand for minimal physical interaction/low human touch products: Due to the risk of infection, customers want to pick up products with minimal human contact.

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

BizAcuity

APRIL 1, 2023

Disruptive measures to help fight different types of disruption that was being witnessed for the first time. Agile teams often apply lean principles, such as eliminating waste and maximizing value, to optimize their development processes and improve efficiency. Fast-forward to now, agile development is everywhere, in every industry.

Software 52

Software Manufacturing Testing Visualization 52

Cloudera

NOVEMBER 19, 2018

One of Cloudera’s partners offers “Sustainability Services” with a goal of assisting organizations in turning costs and risks associated with changing regulatory and workforce environments, as well as supply chain uncertainties and volatile markets, into business opportunities. Maximizing efficiencies in aquaponics.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

BizAcuity

FEBRUARY 3, 2023

Disruptive measures to help fight different types of disruption that was being witnessed for the first time. Agile teams often apply lean principles, such as eliminating waste and maximizing value, to optimize their development processes and improve efficiency. Fast-forward to now, agile development is everywhere, in every industry.

Software 52

Software Manufacturing Testing Visualization 52

Andrew White

APRIL 22, 2020

Emergency measures are undertaken with little planning. In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. Cost optimization and short-term value generating activity will be explored. This period is characterized by immediate reactions to crisis.

Software 52

Software Uncertainty Measurement Marketing 52

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. While customer confidence also takes time to recover from rising unemployment, the economic uncertainty, and anxiousness. So the focus here is also to protect lives and livelihoods.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

The Unofficial Google Data Science Blog

APRIL 17, 2017

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. Quantification of forecast uncertainty via simulation-based prediction intervals.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

O'Reilly on Data

SEPTEMBER 15, 2020

Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. Technical competence results in reduced risk and uncertainty.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

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. After navigating the complexity of multiple systems and stages to bring data to its end-use case, the final product’s value becomes the ultimate yardstick for measuring success.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Through the analysis of collected data, potential opportunities for improvement are uncovered.

Data-driven 89

Data-driven IT Measurement Cost-Benefit 89

The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? The measurement may be biased if our samples are generated from a procedure that samples without replacement, such as reservoir sampling , especially if some items have disproportionate weight, i.e., $p(v_i) cdot n$ is large.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

JUNE 23, 2019

These measurement-obsessed companies have an advantage when it comes to AI. Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement.

Management 110

Management Machine Learning Experimentation Metrics 110

Sisense

DECEMBER 13, 2021

But, many don’t know where to begin or how exactly to work with their data to their optimal benefit. Without leveraging this information, businesses can easily fall into the same patterns that can stunt growth–failing to attract new customers and even leaving themselves open to security risks.

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

Jet Global

JULY 14, 2022

But you can mitigate risks of business cash flow problems by having the right tools at your side. To solve this cash flow problem, you may have to raise prices, let go of some staff, find investors, or better optimize your cash flow management. It’s a measure of negative cash flow. What Are The Three Types of Cash Flows?

Finance 52

Finance Cost-Benefit Measurement Sales 52

Jet Global

MAY 10, 2021

At a time of great uncertainty, the role of finance professionals has, of necessity, evolved into an ever more strategic one. Risk and compliance issues that may impact certain actions or decisions. Improving and optimizing supplier management. Optimizing accounts payable. Improving credit risk analysis.

Finance 98

Finance Recreation/Entertainment Reporting Uncertainty 98