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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. Regardless, these are examples of narrow AI. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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Delivering business value for insurance companies

Collibra

On that topic, I had the opportunity to speak on a webinar that brought together insurance data experts from Deloitte in the UK, and data and analytics leader Peter Jackson, who heads up group data sciences for Legal & General. Drivers for cloud adoption.

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GUEST ESSAY: The story behind how DataTribe is helping to seed ‘Cybersecurity Valley’ in Maryland

The Last Watchdog

Two notable examples are Sourcefire, acquired by Cisco for $2.7B It’s a cybersecurity and data science “foundry” that uniquely helps create, finance and intensely coach brand-new startups manned by former cybersecurity and data science veterans of select federal research centers and national laboratories.

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Generative AI use cases for the enterprise

IBM Big Data Hub

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Educators can provide a more valuable learning experience and environment for students. With the use of data intelligence tools, educational institutes can provide teachers with a more holistic view of a student’s academic performance. How Business Benefits from Data Intelligence.

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How State Governments Can Protect and Win with Big Data, AI and Privacy

Bill Schmarzo - Dell EMC

The State must increase constituents’ awareness and education of Big Data and Artificial Intelligence; what they are, what they are used for and the opportunities locked within including “The Good, the Bad, and the Ugly.”. It’s because I’m an educator in this field that I was so honored to be part of this discussion.

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First Museum Studies courses receive CILIP accreditation

CILIP

Ann Hindson particularly praised the UCLQ practice of highlighting differing viewpoints and ways of looking at objects, services and problems plus the use of local examples of research, objects and service providers that were then placed within an international context. Both accreditations were conducted by independent assessors. In depth.