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Digital Health Transformation: A Practical Guide for Life Sciences Companies

Data Matters

In 2022, many if not most pharmaceutical, medical device, and other life sciences companies established strategies to innovate digital health technology complementary to their existing strategic focus. The digital transformation of the life sciences industry is still widely unfolding across the marketplace.

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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. To do so they require data, which is in no shortage. The challenges they encounter are understanding what data is indicative of site performance.

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Enterprise Architecture: Secrets to Success

erwin

Here are some of the issues and questions being raised: Growth : How do we define growth strategies (e.g., Customer Engagement : How can we better engage with customers including brand, loyalty, customer acquisition and product strategy? data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)?

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Why More Businesses are Switching from Legacy to Modern MDM

Reltio

I’ve seen modern MDM fix organizational data problems and deliver tangible outcomes for their business and customers. Some additional challenges with legacy MDM are: It doesn’t scale to billions of customer records or 1,000s of profile attributes making it difficult to manage big data volumes.

MDM 75
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Welcome, Chris Hylen! Reltio’s New CEO.

Reltio

First, big data infrastructure capabilities were quickly advancing and starting to become mainstream. . Everyone needs to be clear about the strategy, outcomes, expectations and values. Let’s take a step back in time. Let’s start at the beginning. . The Inspiration. In 2011, I saw three major trends: . what we are doing, .

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Business of Data – issue 6

Information Matters

.” [link] security/32428/data- aggregator-leaks-93m-people-s- personal-information. Big data in the balance – SciDevNet, 23 November 2018. “This past summer, the EU launched an initiative to track migration in real time using big data ?