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The most valuable AI use cases for business

IBM Big Data Hub

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. See what’s ahead AI can assist with forecasting.

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CILIP and Nielsen Book announce major new partnership

CILIP

Building on their existing work together, CILIP and Nielsen will collaborate on their common vision of a vibrant, sustainable library, book and e-book ecosystem, promoting readership and diversity for all ages. Jo Shaw, Sales Director, Book Discovery & Commerce Solutions at Nielsen Book said; ?We About Nielsen Book. is consumed.

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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.

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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

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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State of the Global Information Capture & IDP Market 2022/2023

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.

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Jason R. Baron of Drinker Biddle & Reath LLP: eDiscovery Trends 2018

eDiscovery Daily

Five years ago, we saw the emergence of one form of AI in the guise of technology-assisted review in e-discovery. So, there’s the question of liability, i.e., whether the software developer or manufacturer are held to a standard of strict liability, and what kind of ethical considerations are involved. You see it everywhere.