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Unlocking AI: Machine learning as a service

CIO

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. All this adds up to a significant upfront investment that can be cost-prohibitive for many businesses.

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Epicor announces Grow portfolio to weave AI into ERP

CIO

ERP vendor Epicor is introducing integrated artificial intelligence (AI) and business intelligence (BI) capabilities it calls the Grow portfolio. And we’re empowering users with a rich, industry-centric data platform and no-code tools to create purpose-built data pipelines to help solve specific challenges.”

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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

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Sport analytics leverage AI and ML to improve the game

CIO

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. Computer vision, AI, and machine learning (ML) all now play a role.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?

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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

Business intelligence is an increasingly well-funded category in the software-as-a-service market. By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities.

Analytics 215
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Crisis Management in the Digital Age: Lessons for 2024’s Unpredictable Economy

N2Growth Blog

By utilizing machine learning to streamline processes and leveraging data analytics to gain a deeper understanding of customer behavior, digital tools provide innovative solutions to today’s economic challenges. It is the driving force behind the shift from traditional brick-and-mortar businesses to the virtual world.