Collibra
JUNE 27, 2023
1) How can institutions of higher education use data to start making strategic decisions? It starts with a data intelligence platform. Get all the details in Collibra Data Intelligence Cloud for Higher Education , our helpful solution brief. In 2020, the U.S.
Thales Cloud Protection & Licensing
JANUARY 9, 2020
Microservices 1 is a powerful technology that is the kernel for modern cloud architecture, and it’s going to drive how people build, manage and deploy secure apps. And the ecosystem that’s going to drive all this will need to address old challenges, such as security, identity, and logging, with new tools. My key takeaways from KubeCon.
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IBM Big Data Hub
MARCH 2, 2022
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.
Collibra
OCTOBER 4, 2023
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.
The Last Watchdog
JUNE 4, 2019
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.
Collibra
APRIL 9, 2021
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.
Collibra
DECEMBER 19, 2023
For forward-looking organizations who want to leverage generative AI technologies, the success (or failure) of these efforts often hinges on the quality of the underlying data that fuels AI models. Leaders should communicate the importance of AI governance and its alignment with the organization’s vision and values.
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