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Cycle.io | August 05, 2022
Cycle.io, a low-ops application deployment platform, recently announced the Cycle Partner Program, and today we are happy to add Dev.Pro as one of our new Development Agency Partners. Our partnership empowers Dev.Pro development teams to build and deploy advanced solutions, products, and services efficiently on the Cycle Platform. Dev.Pro, a US based software, custom development partner, works with customers across many industries using state of the art technologies. Dev.Pro enabl...
AI Tech
Atos | June 29, 2021
Atos introduced ThinkAI today, describing it as a secure end-to-end scalable service that enables businesses to effectively design, build, and deploy high-performance AI applications. “ThinkAI is for businesses who use traditional high-performance computing (HPC) and wish to conduct more accurate and quicker simulations due to AI applications, as well as those developing AI applications that require greater processing power,” Atos explained. High...
AI Tech, General AI, Software
C3.ai, Inc. | September 15, 2022
C3 AI , the Enterprise AI software application company, today announced the introduction of C3 AI ESG, an application that harnesses artificial intelligence and machine learning to enable companies to monitor, report, and improve their ESG (environmental, social, and governance) performance. C3 AI ESG reduces the time required to gather, manage, and analyze disparate ESG data, and allows companies to identify ESG risks, capture opportunities, and accelerate initiatives to meet their ESG goals. Read More
General AI
Hayden AI | August 17, 2022
Hayden AI, a global leader in artificial intelligence and machine learning technologies, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient. “We’...
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