Remove Analytics Remove Healthcare Remove Insurance Remove Manufacturing
article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Regulatory Update: NAIC Summer 2018 National Meeting

Data Matters

The National Association of Insurance Commissioners (NAIC) held its Summer 2018 National Meeting in Boston, Massachusetts, from August 4 to 7, 2018. NAIC Continues its Evaluation of Insurers’ Use of Big Data . The NAIC is also considering insurers’ use of big data in underwriting life insurance products.

article thumbnail

Think Outside of the Gartner Magic Quadrant for Master Data Management Solutions to Deliver Connected Customer Experiences

Reltio

Or preparing data for downstream analytics by customer data platforms (CDP) and other marketing technologies. . Or third-party data in real-time. Or identifying and unlocking the value of relationships among customers and products, services, locations, channels, and brands.

article thumbnail

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.

article thumbnail

Data Secrets to A Successful Drug Launch

Reltio

A Self-Learning Data Platform breaks down silos among medical affairs, marketing, business intelligence and manufacturing, and helps develop a common understanding of customer data and market insight across all departments. During this phase, there is often enormous pricing pressure from competitive products and health insurers.

MDM 70