Timo Elliott
NOVEMBER 22, 2022
“This idea, sometimes called automation with a human touch must be our vision when it comes to digital machine and processes. Of course, in the end, we want a consistent and integrated data architecture across the whole enterprise. “Today, things often look different. “How does that look like in practice?
The Data Administration Newsletter
JULY 19, 2022
Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance. It is perhaps no surprise then, that the value of all the world’s data is projected to reach $280 billion by 2025.
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BizAcuity
APRIL 14, 2022
The return on investment is a huge concern expressed by a fair share of businesses or if they are ready yet for managing such a huge level of data. The truth is that with a clear vision, SMEs too can benefit a great deal from big data. Challenges associated with Data Management and Optimizing Big Data.
Dataversity
DECEMBER 16, 2020
Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. Click here to learn more about Gilad David Maayan.
Dataversity
DECEMBER 22, 2021
Do a Google images search for “vaults” and you’ll get a quick visual tour of architectural history, a display of the varied designs of bank safes created to secure cash and other valuables, and even an introduction to gymnastic vaults. Each of these provides a dynamic vision of what a “vault” is and of its physical presence. […].
BizAcuity
MAY 24, 2022
Discovery: Cloud adoption is undertaken having company vision, mission and scalability in mind. Without a well-thought of data strategy and framework in place, the cloud strategy could prove to be more expensive than it has to be. When adopting a cloud strategy, at the beginning, sky’s the limit. No pun intended.
Insight Software
MARCH 4, 2024
Additionally, the growing appetite for real-time data insights necessitates breaking down data silos and achieving seamless integration with diverse sources. Technology teams often jump into SAP data systems expecting immediate, quantifiable ROI. Visions of cost savings and efficiency gains dance in their minds.
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