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Enterprise Architecture: Secrets to Success

erwin

big data, analytics and insights)? Review your current EA efforts and tooling. Question whether you are providing or managing data the business does not need, whether you are working too deeply in areas that may not be adding value, or whether you have your vital architecture data spread across too many disconnected tools.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. This results in many groups using a large gamut of AI-based tools that are not fully integrated into a cohesive system and platform.

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The most valuable AI use cases for business

IBM Big Data Hub

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

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The benefits of AI in healthcare

IBM Big Data Hub

Artificial intelligence is used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals, benefitting both patients and healthcare systems. How does artificial intelligence benefit healthcare?

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Metadata Management, Data Governance and Automation

erwin

According to IDC’s “Data Intelligence in Context” Technology Spotlight sponsored by erwin, “professionals who work with data spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analytics.”. IDC Technology Spotlight, Data Intelligence in Context: Get the report (… it’s free).

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Delivering ROI for Our Customers When it Matters Most

Reltio

A common refrain, for example, is that Reltio frees analytics and engineering teams up from the busy work of finding, de-duplicating, fixing and making data useful in a centralized location. Customers interviewed in the study were from the pharmaceuticals, technology, insurance and retail industries.

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The Value of Data Governance and How to Quantify It

erwin

According to IDC, professionals who work with data spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analytics. For example, one global pharmaceutical giant reduced cost by 70 percent and generated 95 percent of production code with “zero touch.”