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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. This content includes product descriptions, images, videos and even interactive experiences.

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Let Your Team See the Value of Being a Citizen Data Scientist!

Smarten

With business users on board, the enterprise can capitalize on its strategy and optimize return on investment (ROI) and total cost of ownership (TCO) for its technology investment. Gartner predicts that, ‘overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

The companies that are most successful at marketing in both B2C and B2B are using data and online BI tools to craft hyper-specific campaigns that reach out to targeted prospects with a curated message. Consumers have grown more and more immune to ads that aren’t targeted directly at them. Let’s see it with a real-world example.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. And sometimes they are indeed optimal: 7 Data Presentation Tips: Think, Simplify, Calibrate, Visualize. Better than the table, but perhaps less optimal than the Treemap. Short story #2: Predictive Modeling, Quantifying Cost of Inaction.