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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 includes trust in the data, the security, the brand and the people behind the AI.

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Trying to tackle Big Data: European Union launches draft Data Act

Data Matters

iv) Artificial Intelligence Regulation ( AIR ) – which addresses the risks stemming from the various uses of artificial intelligence ( AI ) systems and aims to promote innovation in the field of AI. Below we set out the key elements of the Data Act, including its scope, main obligations and implications.

Big data 117
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8 Interesting Predictions for the Intelligent Information Capture Market in 2022

Info Source

This trend also impacts how end customers communicate and interact in B2B and B2C environments, which is increasingly digital and involves a diverse set of input channels and formats. Let’s highlight a few: Intelligent classification of business inputs addresses a key bottleneck for automated ingestion of transactional business inputs.

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8 Interesting Predictions for the Intelligent Information Capture Market in 2022

Info Source

This trend also impacts how end customers communicate and interact in B2B and B2C environments, which is increasingly digital and involves a diverse set of input channels and formats. Let’s highlight a few: Intelligent classification of business inputs addresses a key bottleneck for automated ingestion of transactional business inputs.