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Enterprise Architect: A Role That Keeps Evolving

erwin

If, for example, a business sets a goal to increase its website sales by 20 percent in one year’s time, meeting that goal will require that different IT and business functions work together. One team member might specialize in security, for example, and another in applications. erwin, Inc.’s

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The most valuable AI use cases for business

IBM Big Data Hub

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. To help eliminate tool sprawl, an enterprise-grade AIOps platform can provide a holistic view of IT operations on a central pane of glass for monitoring and management.

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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

Industry-specific regulations in areas like healthcare, pharmaceuticals and financial services have been in place for some time. The post In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool appeared first on erwin, Inc. Try erwin Evolve for yourself in a no-cost, risk-free trial.

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Leveraging high performance computing to help solve complex challenges across industries

IBM Big Data Hub

The solution also includes security and controls built into the platform and is designed to allow clients across industries to consume HPC as a fully managed service while helping them address third- and fourth-party risks. As semiconductor manufacturers look to innovate quickly, electronic design automation (EDA) tools can be a key asset.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

The banking, financial services and insurance industry typically deals with higher data velocity and tighter regulations than most. These bottlenecks are only made worse when organizations attempt to get by with systems and tools that are not purpose-built. Metadata-Driven Automation in the Pharmaceutical Industry.

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The Importance of EA/BP for Mergers and Acquisitions

erwin

Needless to say, the behind-the-scenes complexities are many and can include discovering that the merging enterprises use the same solution but under different names in different parts of the organizations, for example.