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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.  And the centrality of these experiences isn’t limited to B2C vendors.

B2C 64
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Succeeding at the Game of Work Depends on Excelling at Data Management

AIIM

Consider an especially tense series of conversations witnessed by management at a manufacturing company. Success in the marketplace for all businesses, whether B2B or B2C, requires understanding your customers, understanding how they want to interact with your company, and delivering the information they want, when they want it.

B2C 152
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State of the EMEA Information Capture & IDP Market 2022/2023

Info Source

This market dynamic will cause an accelerated shift in the vendor ecosystem, caused by a strong demand for IDP solutions as well as content management solutions including AI-based analytics. Healthcare (which includes Pharma) and Manufacturing continue as the third and fourth largest vertical markets in 2022.

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State of the Global Capture & IDP Market

Info Source

Data is extracted, validated, and augmented to create the required information for a business process related to an Accounting Workflow, Case Management type applications, to comply with Records Management requirements or to fulfill analytics or discovery needs. The Manufacturing sector recovered strongly in 2021.

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Everyone Needs Master Data Management (MDM), But Don’t Call It That

Reltio

In a world where data – particularly for analytics, AI and ML initiatives - is even more important than ever before, the need for it to be mastered, trusted and delivered in real time at scale across the enterprise just becomes more pressing.

MDM 98