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9 IT resolutions for 2025

CIO Business Intelligence

Our success will be measured by user adoption, a reduction in manual tasks, and an increase in sales and customer satisfaction. I firmly believe continuous learning and experimentation are essential for progress. She recognizes that the possibilities of AI grow by the day but so do the risks.

IT 140
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Gartner projects major IT spending increases for 2025

CIO Business Intelligence

This spending on AI infrastructure may be confusing to investors, who won’t see a direct line to increased sales because much of the hyperscaler AI investment will focus on internal uses, he says. Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains.

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Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates

datapine

Sales Activity. Average Sales Cycle Length. When we say “optimal design,” we don’t mean cramming piles of information into one space or being overly experimental with colors. Additionally, if you want to specifically focus on your sales data, we suggest you read our article on the topic of salesforce reporting.

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What you need to know about product management for AI

O'Reilly on Data

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs should prioritize objectives tied to measurable improvements in customer experience and accelerated sales outcomes, then look for opportunities where winning AI capabilities can drive stakeholder consensus on platform consolidation. Why should CIOs bet on unifying their data and AI practices?

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Autodesk enlists Einstein AI to enhance customer service

CIO Business Intelligence

Salesforce first launched Einstein in 2016 , but the AI platform has evolved and expanded to address many common business tasks for specific audiences in the years since, including sales and marketing, e-commerce, and other routine but vital corporate functions. But at this point, we have not launched any of these capabilities.”

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. For example, one can ask the model to account for “country” specific patterns while predicting sales at a “global” level. Data scientists are in demand: the U.S. Read the blog.