Machine Learning, Predictive Modeling and Uncertainty

Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

Machine Learning

Machine Learning Data Architecture Uncertainty Data-driven

How to Set AI Goals

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. With well-formed goals, data scientists and machine learning engineers can then apply the scientific method to test different approaches in order to determine the validity of the hypothesis, and assess whether a given approach is feasible and can achieve the goal.

Advertising

Advertising Cost-Benefit ROI Machine Learning

How an EPM Solution Supports Managing Economic Uncertainty

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty

Uncertainty Management Forecasting Visualization

Webinars

Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

MORE WEBINARS

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

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. Data engineers ensure that all the ingested, processed, and transformed data culminates in actionable, reliable products—be it a predictive model, a dashboard, or a data export.

Testing

Testing Data Quality Predictive Modeling Metrics

How an EPM Solution Supports Managing Economic Uncertainty

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty

Uncertainty Management Forecasting Visualization

Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

SEPTEMBER 2, 2022

How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers. One is macro-level uncertainties, and the second is micro-level. The pandemic falls into the macro-level because we really can’t predict those kinds of events.

Uncertainty

Uncertainty Manufacturing Data-driven Business Intelligence

Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

SEPTEMBER 2, 2022

How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers. One is macro-level uncertainties, and the second is micro-level. The pandemic falls into the macro-level because we really can’t predict those kinds of events.

Uncertainty

Uncertainty Manufacturing Data-driven Business Intelligence

Enhance your Lending with Predictive Analytics

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. The consumer lending business is centered on the notion of managing the risk of borrower default.

Predictive Analytics

Predictive Analytics Analytics Data mining Cost-Benefit

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Forecasting at the “push of a button”?

Forecasting

Forecasting Data Science Statistics Uncertainty

How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.

Predictive Analytics

Predictive Analytics Predictive Modeling Data-driven Forecasting

Sound Decisions in Dynamic Times – Forecasts and Simulations Support Modern Corporate Management

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. 75 percent of companies confirm that predictive models provide good forecasts for them, even in volatile markets.

Forecasting

Forecasting Management Uncertainty Predictive Modeling

Sound Decisions in Dynamic Times – Forecasts and Simulations Support Modern Corporate Management

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. 75 percent of companies confirm that predictive models provide good forecasts for them, even in volatile markets.

Forecasting

Forecasting Management Uncertainty Predictive Modeling

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT

IoT Big Data Data Warehouse Uncertainty

Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. This method can also be applied to risk management in other domains as well.

Risk

Risk ROI Modeling Metrics

Data Leaders Brief

Real-time Data, Machine Learning, and Results: The Evidence Mounts

How to Set AI Goals

Webinars

Trending Sources

How an EPM Solution Supports Managing Economic Uncertainty

Webinars

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

How an EPM Solution Supports Managing Economic Uncertainty

Oshkosh puts digital solutions into overdrive

Oshkosh puts digital solutions into overdrive

Enhance your Lending with Predictive Analytics

Humans-in-the-loop forecasting: integrating data science and business planning

How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sound Decisions in Dynamic Times – Forecasts and Simulations Support Modern Corporate Management

Sound Decisions in Dynamic Times – Forecasts and Simulations Support Modern Corporate Management

Topics to watch at the Strata Data Conference in New York 2019

Predicting Movie Profitability and Risk at the Pre-production Phase

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