IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions.

B2B 49

B2B Interactive Optimization Forecasting 49

IBM Big Data Hub

FEBRUARY 14, 2024

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Smarten

MAY 15, 2019

With predictive analytics, the business can leverage data from various systems and software to take the guesswork out of production equipment maintenance and anticipate routine maintenance. Predictive Analytics Using External Data. Learn more about Augmented Analytics, its uses, techniques and applications.

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10

IBM Big Data Hub

JULY 6, 2023

Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. The industries that are users of embedded analytics are interesting. Financial Services represent 13.0

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52