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

Info Source

These solutions are designed to acquire, classify, validate, and convert business inputs into valuable data for use in business transactions, analytics, records management, discovery, and compliance applications. All business inputs are interpreted to understand the content, and where and why it is needed.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security. This includes trust in the data, the security, the brand and the people behind the AI.

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The most valuable AI use cases for business

IBM Big Data Hub

And if AI can guide a Roomba, it can also direct self-driving cars on the highway and robots moving merchandise in a distribution center or on patrol for security and safety protocols. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

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10 everyday machine learning use cases

IBM Big Data Hub

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. These advanced analytics can lead to data-driven personalized medication or treatment recommendations.