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6 ecommerce trends to watch

IBM Big Data Hub

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In what McKinsey refers to as “the e-commerce catch-22,” many retailers with significant growth in ecommerce sales through 2020 and 2021 saw their margins decline.

Retail 82
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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

They can simplify and accelerate workflows throughout the commerce journey, from discovery to the successful completion of a transaction. Early iterations of e-commerce used traditional AI largely to create dynamic marketing campaigns , improve the online shopping experience, or triage customer requests.

B2C 66
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Top 6 Kubernetes use cases

IBM Big Data Hub

High-performance computing Industries including government, science, finance and engineering rely heavily on high-performance computing (HPC) , the technology that processes big data to perform complex calculations. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

Cloud 110
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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.