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Enterprise Architecture: Secrets to Success

erwin

big data, analytics and insights)? erwin has a proven track record supporting enterprise architecture initiatives in large, global enterprises in highly regulated environments, such as critical infrastructure, financial services, healthcare, manufacturing and pharmaceuticals.

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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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US DoJ indicts Chinese hackers over state-sponsored cyber espionage

Security Affairs

Department of Energy’s Lawrence Berkeley National Laboratory. “Finally, the APT10 Group compromised more than 40 computers in order to steal sensitive data belonging to the Navy, including the names, Social Security numbers, dates of birth, salary information, personal phone numbers, and email addresses of more than 100,000 Navy personnel.”

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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.

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12 considerations when choosing MES software

IBM Big Data Hub

Manufacturing execution systems (MES) have grown in popularity across the manufacturing industry. If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors.

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FAIR Data Principles in Life Sciences: A case for Data Intelligence Cloud

Collibra

By adopting FAIR Data Principles, life sciences firms (pharmaceuticals, biotech, medical device manufacturers) can accelerate data sharing, improve data literacy (understanding of data) and increase overall transparency and auditability when working with data. Reusable – metadata should include rich business and technical context.

Cloud 90
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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.