Remove home tag Data Science
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2020 Data Impact Award Winner Spotlight: Merck KGaA

Cloudera

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. How can organizations prepare for AGI? Current AI advancements demonstrate impressive capabilities in specific areas.

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AI Birth to Boom

bridgei2i

Digital Enterprise” is not a tag that companies can attach to themselves based on a few initiatives they undertake. There are a number of challenges they will have to navigate however: Showing incremental RoI for AI investments over existing Data and Analytics Investments. Improving Operational Effectiveness. Digital Enterprise.

IoT 69
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Power, Harms, and Data

O'Reilly on Data

Is this just a problem with training data, as Yann LeCun said on Twitter? The claim that this is only a problem with the data is tempting, but it is important to step back and see the bigger issues: nothing is “just” a problem with data. There’s no question that the training data was a problem.

Testing 135
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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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Catalysing Digital CX using Data Science Capabilities in the Post COVID World

bridgei2i

Catalysing Digital CX using Data Science Capabilities in the Post COVID World. With employees and customers operating from home, every CX service organization across enterprises is seeing a visible shift in interaction patterns. Change in Interaction Patterns. Tapping into voice of customers from digital. Smart Issue Routing.

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How to tackle a real-world problem with GuidedLDA

Insight

The prevalent use of online platforms for interaction and the large size of the text data from users’ input makes digesting data increasingly more time-consuming. Data The company shared 180k students’ reflections that, based on the company’s rubric system, were considered high quality (having a strategy/strategies).

Testing 54