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IBM teams up with organizations on AI incubator for social impact

IBM Big Data Hub

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. The organizations then began incubation projects alongside the DSE team, building models and data capacity alike.

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Data mesh: The key to innovation in government

Collibra

Since data mesh is as much an effort at rearchitecting social and cultural practices as it is a technical approach, successful agencies will achieve more value from a data mesh initiative that is backed by effective education. Encourage teams to see the value in data and foster a sense of ownership.

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Delivering business value for insurance companies

Collibra

Given the data-intensive nature of their operations, it is natural that many insurance companies are looking towards the cloud as an infrastructure choice to help enable more agile data operations. This in turn prompts greater emphasis on data and analytics, says Deloitte insurance partner Reny Vargis-Cheriyan. .

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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. Expanding big data.

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

The Last Watchdog

GCIS was a Davos-level conference with no vendors and no selling, where scores of chief security information officers (CISOs), top CEO’s, industry and government thought leaders and leading innovators discussed the myriad challenges in and around cybersecurity and possible solutions in today’s environment. According to the U.S.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

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Wednesday LTNY 2020 Sessions: eDiscovery Trends

eDiscovery Daily

In addition to that, yesterday and today, CloudNine is conducting its second annual NineForum Discovery Education Series where prominent and highly respected eDiscovery and litigation support experts will deliver 9 TED-style talks, 20 minutes each, covering important topics impacting the legal community.