Remove Enterprise Remove Forecasting Remove Statistics
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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Enterprises do not operate in a vacuum, and things happening outside an organizations walls directly impact performance.

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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. AI is the next generation of what we called “data science” a few years back, and data science represented a merger between statistical modeling and software development. What’s the reality?

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SAP, Salesforce lead $356 billion enterprise applications market: IDC

CIO Business Intelligence

The market for enterprise applications grew 12% in 2023, to $356 billion, with the top 5 vendors — SAP, Salesforce, Oracle, Microsoft and Intuit — commanding a 21.2% IDC attributed the market growth to the adoption of AI and generative AI integrated into enterprise applications. With just 0.2% With just 0.2%

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting. And guess what? You get the picture.

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Oracle targets healthcare firms with new features in Cloud HCM and SCM

CIO Business Intelligence

So much so that it cites the US Bureau of Labor Statistics which forecasts that nearly two million healthcare workers will be needed each year to keep up with domestic demand. This feature, according to the company, assumes importance as the US healthcare industry is currently facing an ongoing talent shortage.

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Predictive Analytics Supports Citizen Data Scientists!

Smarten

In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. Forecasting and planning cannot be based on opinions or guesswork. to that the enterprise can mitigate stock shortages and avoid warehouse and inventory overstock.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. You are listening to AI to Impact by BRIDGEi2i, a podcast on AI for the Digital Enterprise. And I’m specifically talking about demand forecasting here.