CIO
APRIL 8, 2024
Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.
CIO
FEBRUARY 10, 2023
Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.
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CIO
JUNE 14, 2023
Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.
CIO
NOVEMBER 9, 2022
One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.
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The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.
CIO
AUGUST 25, 2023
Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.
CIO
JANUARY 22, 2024
Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. Library of Congress.
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Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.
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Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.
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Computing surveyed 150 individuals representing companies from a wide variety of industries that are actively involved in using, testing, evaluating, or procuring data analytics tools at their organization. Download now to learn: The state of data analytics in end-user organizations.
Advertiser: Data Robot
Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.
Speaker: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! No matter what industry you're in - healthcare, customer service, sales, and more - it’s easier than you think to reduce wait times, monitor sentiment, and provide enhanced self-service options for all of your users.
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