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6 ecommerce trends to watch

IBM Big Data Hub

As the ecommerce market grows exponentially, six trends projected to heavily impact the global market are artificial intelligence (AI), augmented reality, live commerce, online-to-offline ecommerce, social commerce and voice assistants. This can force businesses to bring down prices to compete.

Retail 80
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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Recent advancements in artificial intelligence (AI) are transforming commerce at an exponential pace. They can simplify and accelerate workflows throughout the commerce journey, from discovery to the successful completion of a transaction. Successful integration of AI in commerce depends on earning and keeping consumer trust.

B2C 64
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Top 6 Kubernetes use cases

IBM Big Data Hub

AI and machine learning Building and deploying artificial intelligence (AI) and machine learning (ML) systems requires huge volumes of data and complex processes like high performance computing and big data analysis. For instance, large retail e-commerce websites consist of many microservices.

Cloud 108
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From Data Chaos to Data Clarity: Four Trends Reshaping Data Management in the Digital Age

Reltio

As the world embraces data and the technology that brings it to life, we see four key themes emerging in data management: Artificial intelligence (AI), data virtualization, real-time integration, and multi-cloud strategies.

MDM 97