Krebs on Security
JUNE 15, 2022
Microsoft also is taking flak from security experts regarding a different set of flaws in its Azure cloud hosting platform. “In previous cases, vulnerabilities were fixed by the cloud providers within a few days of our disclosure to the affected vendor,” wrote Orca’s Avi Shua.
Info Source
MARCH 5, 2025
The Cloud and Remote Print Management The transition to cloud platforms has revolutionised print management, enabling seamless collaboration between print providers and clients. In todays fluctuating demand and hybrid work models, cloud-based solutions provide superior flexibility and scalability.
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Thales Cloud Protection & Licensing
AUGUST 22, 2019
This 10-year milestone is exactly the right time to contemplate what may be said about the Cyber Command in 2029, and sentiment will hinge on technology decisions it makes in the near term. Even as agencies struggle with cloud complexity, the race for digitally transformative technologies is literally pushing security aside.
IBM Big Data Hub
DECEMBER 5, 2023
trillion on retail businesses through 2029. While generative AI currently makes up only 9% of the retail industry’s bottom line impact in 2023, IHL anticipates generative AI will grow to represent 78% of the total financial impact by 2029, reaching a total of USD 4.4 trillion in that year.
Info Source
NOVEMBER 21, 2019
The market will thrive at a robust double digit CAGR during 2019 – 2029, attributing to the accelerating adoption of automated document imaging solutions that can provide secure print and document imaging services. In terms of value, cloud-based deployment is identified as a preferred alternative.
IBM Big Data Hub
MAY 17, 2023
billion by 2029, at a CAGR of 28.58% in the forecast period. DaaS is an intelligent, cloud-based, multi-tenant offering for data processing, data storage and data analysis. Contact our Partner Capgemini Building with IBM The DaaS offering uses IBM’s Maximo Application Suite (MAS) and Cloud Pak for Data (CP4D) using Industry 4.0
IBM Big Data Hub
OCTOBER 16, 2023
Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.
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