CIO Business Intelligence

MARCH 8, 2023

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

Manufacturing 80

Manufacturing Business Objectives Cost-Benefit Optimization 80

CIO Business Intelligence

AUGUST 5, 2022

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains. The HPE GreenLake Advantage.

IT 90

IT Manufacturing Business Objectives Cost-Benefit 90

CIO Business Intelligence

SEPTEMBER 22, 2022

Deeper digital transformation can help companies better deal with uncertainties.”. Bob Chen points out that data ingestion, transmission, storage, and analysis are key steps in digital transformation. per year over 2022 to 2024. We are entering the fourth industrial revolution, where menial office tasks will be carried out by machines.

Technology 52

Technology Digital Transformation Broadcasting Uncertainty 52

IBM Big Data Hub

SEPTEMBER 28, 2023

Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters. For many businesses and organizations, this can introduce uncertainties that slow adoption of generative AI, particularly in highly regulated industries.

Testing 91

Testing Finance Enterprise Modeling 91

Jet Global

NOVEMBER 15, 2019

Automated Data Collection. Does it involve more work than you’d like and create more uncertainty than you can accept? Here’s how. Trying to create a single source of truth by hand is a losing battle. 7 Steps to Building your Single Source of Truth. Download Now. How accessible? Contact us to learn more.

Reporting 75

Reporting Uncertainty Metrics Finance 75

Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

Digital Transformation 80

Digital Transformation Data Governance Data-driven Uncertainty 80

CIO Business Intelligence

JUNE 28, 2022

Good data scientists can also reduce some of this uncertainty through cleansing. Those fears are fueling regulation and often snagging companies and even well-meaning data scientists into public relations blowback. Not only that, but people are deliberately jamming data collection with fake values or wrong answers.

Management 133

Management Internet of Things Statistics Data-driven 133

Jet Global

JANUARY 22, 2020

Much of the financial reporting process, including data collection, integration, analysis, and visualization, can now run on autopilot. Decision makers were looking for a dynamic and detailed perspective into the data, and instead, they got something that only inspired uncertainty.

Reporting 78

Reporting Snapshot Data-driven Uncertainty 78

Darkhorse

MARCH 31, 2015

Add to these all of the decisions that they could be making (but aren’t) because of uncertainty or laziness. Step 3: Scope the Projects In looking at what remains, you can start to estimate the difficulty or uncertainty associated with finding a solution. Step 1: The Brain Storm We start at the end: the decision.

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

Jet Global

DECEMBER 10, 2020

To implement AI, you need four main resources: an algorithm, at least 15 years of data, massive amounts of data over that time period, and a way to test the algorithm and get feedback on its accuracy. It’s part of a mixed bag of tools that we use for data collection, tracking, reporting, and analysis.

Uncertainty 52

Uncertainty Technology Finance Business Intelligence 52

CIO Business Intelligence

MARCH 29, 2022

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . Duplication of data also entails duplication of effort, which is an additional cost.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

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 89

Data-driven IT Measurement Cost-Benefit 89

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

CIO Business Intelligence

JULY 17, 2023

DM automates data collection from machines and operators, offering critical insights into the status of assets. It provides a single, transparent data source, improving visibility at every stage of manufacturing. “The It has transformed ZEISS´s shop floor operations.

Manufacturing 83

Manufacturing Snapshot Uncertainty Digital Transformation 83

Occam's Razor

APRIL 15, 2019

Archetype #3: How they react: Their trigger instinct in face of factual negative data is to make excuses. To poke holes in the data/methodology (regardless of the Rationalizer’s analytical competence). To create enough uncertainty to fuzzy up any negative – or remotely negative – data. To provide context.

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Depict Data Studio

MAY 12, 2020

Amanda went through some of the top considerations, from data quality, to data collection, to remembering the people behind the data, to color choices. COVID-19 Data Quality Issues. Amanda said, “Consider the fact that even though the dataset are very accessible right now, does not mean it is high quality data.”.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Jet Global

NOVEMBER 16, 2021

Some cover just digital advertising revenues, whereas others are going further to include revenues from the provision of a digital interface, targeted advertising, and the transmission of data collected about users for advertising purposes. The Complete Guide to Corporate Tax Software. Download Now.

Advertising 97

Advertising Forecasting Uncertainty Risk 97

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

Digital Transformation 96

Digital Transformation Internet of Things Manufacturing Unstructured Data 96

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. They might deal with uncertainty, but they're not random. Online, offline or nonline. Yet this structure rarely exists in companies.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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 90

Data-driven Data Strategy Strategy Cost-Benefit 90

Domino Data Lab

JULY 22, 2019

They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty. How can you trace that all the way back into the data collection? You know, these are probabilistic systems. How could that make sense? That doesn’t make sense.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. Measurement challenges Assessing reliability is essentially a process of data collection and analysis.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

JULY 12, 2010

In this case measuring "Personable": Engaged in other people's well-being and at peace with expressing your own uncertainty about the world. There are many methods of collecting data depending on the platform you are on, and if Steve Jobs gets upset he can totally shut you down with a mere update of his TOS! :).

Analytics 96

Analytics Measurement Metrics KPI 96

O'Reilly on Data

JULY 20, 2021

We can’t forget that the machine learning that is doing biometrics is not a deterministic calculation; there is always some degree of uncertainty. If you’re designing a device, you need to require users to opt in to data sharing (especially as regions adapt GDPR and CCPA-like regulation).

Risk 307

Risk Software Interactive Modeling 307

DataRobot Blog

OCTOBER 4, 2022

In the last few years, businesses have experienced disruptions and uncertainty on an unprecedented scale. The situation is even more challenging for companies in industries that use historical data to give them visibility into future operations, staffing, and sales forecasting. Managing Through Socio-Economic Disruption.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

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

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

Here, we discuss how factors like market uncertainty and IT dependence impact finance teams throughout EMEA. The State of Finance in EMEA Finance teams worldwide have been deeply impacted by market uncertainty. When searching for tax-management software, find one that automates data collection and processing.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

MARCH 22, 2023

By leveraging technology that automates tax data collection and processing, your team can produce more accurate reports, reduce risk, and free up time to focus on more strategic initiatives. Automated tax data collection dramatically reduces your reliance on other teams.

Reporting 52

Reporting Software Risk Enterprise 52

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. This essay is about how to take a more principled approach to making decisions under uncertainty and aims to provide certain conceptual and cognitive tools for how to do so, not what decisions to make.

Uncertainty 281

Uncertainty Testing Risk Reporting 281