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Top 4 takeaways from the Gartner Data and Analytics Conference

Collibra

Last week I attended the virtual Gartner Data and Analytics Summit. This conference brought together data and analytics leaders from top industries such as government, banking, financial services, insurance, and manufacturing. Finally, work to expand your influence by embedding data and analytics into all decisions.

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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. The major Capture & IDP use cases in the Insurance sector also relate to Case Management.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. Inaccuracies might also lead to more delays or complications with insurance coverage.

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Best Fraud Management Systems & Detection Tools in 2022

eSecurity Planet

In its 2021 Threat Force Intelligence Index , IBM reported that manufacturing and financial services were the two industries most at risk for attack, making up 23.2% They’re also useful for background checks, data analytics, and data mining. These data analytics can also be exported to a Microsoft Excel spreadsheet.

Analytics 113
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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.

Retail 82
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5 misconceptions about cloud data warehouses

IBM Big Data Hub

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. This enabled data-driven analytics at scale across the organization 4.

Cloud 56
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How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

Manik, VP and senior partner for IBM Consulting, outlined a massive opportunity to strategically redesign the client’s finance operations and payment processing by leveraging AI, data analytics, metrics and automation. ” One car manufacturer, for example, opened up a conversation by asking about an upgrade to its data servers.