Cloudera

DECEMBER 21, 2020

As customers shift online, the data trails they leave behind, through email opens, click-throughs, preferred member programs, can help retailers provide personalized insights on a level like never before. Making Hybrid Cloud Work for Data-Driven ASEAN Retailers .

Data-driven 93

Data-driven Data Strategy Strategy Cost-Benefit 93

IBM Big Data Hub

SEPTEMBER 28, 2023

This process is designed to help mitigate risks so that model outputs can be deployed responsibly with the assistance of watsonx.data and watsonx.governance (coming soon). Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters.

Testing 87

Testing Finance Enterprise Modeling 87

Jet Global

JANUARY 22, 2020

Much of the financial reporting process, including data collection, integration, analysis, and visualization, can now run on autopilot. Contending with Data Errors. Any reporting process that relies on users manually manipulating data is at risk of typos and other human errors compromising that data.

Reporting 78

Reporting Snapshot Data-driven Uncertainty 78

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. A pain point tracker (a repository of business, human-centered design and technology issues that inhibit users’ ability to execute critical tasks) captures themes that arise during the data collection process.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. We conclude with an example of our forecasting routine applied to publicly available Turkish Electricity data. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

JUNE 23, 2019

If you have a user facing product, the data that you had when you prototype the model may be very different from what you actually have in production. This really rewards companies with an experimental culture where they can take intelligent risks and they’re comfortable with those uncertainties.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

SEPTEMBER 26, 2024

Today, leading enterprises are implementing and evaluating AI-powered solutions to help automate data collection and mapping, streamline administrative support, elevate marketing efficiencies, boost customer support, strengthen their cyber security defenses, and gain a strategic edge. Risks with AI are another area of concern.

Cost-Benefit 115

Cost-Benefit Risk Enterprise Uncertainty 115

Domino Data Lab

JULY 22, 2019

What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity. They’re being told they have to embrace uncertainty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Darkhorse

MARCH 31, 2015

Add to these all of the decisions that they could be making (but aren’t) because of uncertainty or laziness. We’ll do so by eliminating those with high risk in data inputs, research, and implementation. Remind them that your solutions won’t tell them what to do, but will simply reduce uncertainty. That’s a good thing.

Uncertainty 45

Uncertainty Data-driven Metrics Consulting 45

Anmut

OCTOBER 29, 2020

Although COVID-19 tracking data is highly complex and is subject to many data quality issues, it is still better to release good-enough data to inform decision making, rather than to take the risk of losing more lives without using any data. COVID-19 exposes shortcomings in data management.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity!

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

JULY 28, 2023

Understanding evolving market conditions and consumer behaviors in EMEA remains crucial for capitalizing on emerging opportunities and mitigating risks in this dynamic and competitive landscape. Here, we discuss how factors like market uncertainty and IT dependence impact finance teams throughout EMEA.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

MARCH 22, 2023

While state-by-state provisions allow for greater visibility into your liability and risk areas, this approach comes with its own challenges. Data requirements are expanding for state-by-state calculations including new apportionment considerations, tax rates, and regional modifications.

Reporting 52

Reporting Software Risk Enterprise 52

CIO Business Intelligence

FEBRUARY 13, 2025

However, as AI adoption accelerates, organizations face rising threats from adversarial attacks, data poisoning, algorithmic bias and regulatory uncertainties. The risks of unsecured AI Unlike traditional IT systems, AI is uniquely susceptible to novel attack vectors such as: Adversarial attacks. Generative AI risks.

Risk 116

Risk Data-driven Finance Risk Management 116

O'Reilly on Data

JUNE 16, 2020

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world.

Uncertainty 358

Uncertainty Testing Risk Reporting 358

Jet Global

APRIL 14, 2025

As we continue to face rapid technological evolution, regulatory change, and brace for the impact of global tariffs, finance teams run the risk of floundering to keep up. During a time of market uncertainty, how can you confidently budget, plan, and report while adapting to change?

Reporting 52

Reporting Marketing Finance Forecasting 52