Ipsotek has announced its alignment with emerging artificial intelligence (AI) initiatives focused on accelerating enterprise AI adoption.
In May, Dell Technologies introduced Dell AI Factory initiatives designed to enable organisations to deploy artificial intelligence at scale through modular, integrated infrastructure, services and ecosystem technologies.
Ipsotek is included among the technology providers referenced within this broader ecosystem, contributing to the development of scalable, outcomes-driven AI solutions.
According to the company, Dell AI Factory brings together infrastructure, software and ecosystem technologies to support the transition from initial AI concepts to validated, real-world deployments.
It is designed to help organisations unlock value from their data more efficiently, enabling improvements in operational efficiency, safety, sustainability and user experience.
Within this context, Ipsotek said that it provides computer vision capabilities that enable real-time insights from video data across distributed environments.
Its AI-powered solution supports a wide range of industry applications, including transportation, smart cities, retail and critical infrastructure, where timely and accurate information is critical to operational performance.
Building on its work with global industry leaders, Ipsotek highlighted that it will continue to invest in AI innovation and enablement, including developments in vision-language models and generative AI.
These advances are focused on simplifying deployment, enhancing usability and enabling organisations to scale AI more effectively.
By lowering barriers to adoption, Ipsotek is helping organisations that may not have previously considered video analytics to explore new use cases and realise measurable benefits.
Dr Boghos Boghossian, CEO & CTO at Ipsotek stated: “The Dell AI Factory reflect the growing importance of scalable, outcomes-driven AI deployment.
“We are encouraged to be included and validated as part of the broader ecosystem and are excited about the opportunities ahead to support real-world AI implementations.”
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