Remove Digital transformation Remove e-Discovery Remove Manufacturing Remove Retail
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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.

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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. Ultimately, they drive significant increases in conversions driving meaningful revenue growth from the transformed commerce experience.

B2C 58
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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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Infosource Global Capture & IDP Vertical Market Analysis 2022-2023 Update

Info Source

We also expect IDP solutions leveraging advanced AI technology and offering low code capabilities to lower the barrier for the adoption of digital automation solutions. For example, organisations in the Legal and Retail sector may see impressive ROIs. The Public Sector plays a multi-faceted role in digital transformation.

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#ModernDataMasters: Bob More, SVP Global Field Operations

Reltio

Much of background is what we now call customer experience and its predecessors of CRM and eCommerce applications in Retail and CPG as well as PLM, ERP and supply chain. I’ve seen it most successful when it’s taken in the context of a larger overall initiative, for example a digital transformation or implementation of a new system or process.

MDM 40