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Skkynet Secures Government Funding to Accelerate Secure Industrial AI Development

By Burstable Editorial Team

TL;DR

Skkynet's government-backed $2.6M project gives industrial operators a competitive edge by enabling secure AI adoption to optimize operations and compete globally.

Skkynet is enhancing its Cogent DataHub platform to create secure real-time data bridges that feed training data to AI models while protecting critical networks.

This initiative strengthens Canada's AI leadership and local economy while helping industries improve efficiency and create more resilient, intelligent operations for a better future.

Skkynet's government-funded project accelerates industrial AI with secure data bridges, allowing AI models to learn from real-time operations without compromising network safety.

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Skkynet Secures Government Funding to Accelerate Secure Industrial AI Development

Skkynet Cloud Systems, Inc. has announced a C$2.6 million project to accelerate the development of secure Industrial Artificial Intelligence technologies, with partial funding of C$1.04 million from the Government of Canada through the Federal Economic Development Agency for Southern Ontario. The initiative focuses on enhancing Skkynet's proprietary Cogent DataHub® data intelligence platform to meet growing demand for AI in industrial automation while maintaining security protocols. This project is important because it directly addresses a fundamental barrier to industrial AI implementation: the tension between leveraging AI for optimization and protecting critical operational networks from security vulnerabilities.

The project was highlighted during a public announcement by the Honourable Evan Solomon, Minister of Artificial Intelligence and Digital Innovation and Minister responsible for FedDev Ontario. Minister Solomon emphasized the regional significance, stating that Southern Ontario's tech ecosystem benefits from such innovation. The government's support aims to strengthen the local economy and secure Canada's position in the industrial software market. According to company executives, the investment will specifically support the development of secure, real-time data bridges. These bridges are crucial as they allow industrial operators to feed training data to AI models and execute AI-driven control logic without exposing critical operational networks to security risks.

Gary Tillery, CEO of Skkynet, described the announcement as a major milestone for both the company and Canada's industrial AI ecosystem. The funding is expected to expedite the delivery of AI capabilities designed to help industries optimize operations and improve efficiency. The project will enable Skkynet to expand its engineering team and accelerate the commercialization of next-generation Industrial AI solutions tailored for complex industrial environments where security is paramount. Paul Thomas, President of Skkynet, noted that the contribution will allow the company to fast-track critical technological developments, ensuring industrial clients can adopt AI solutions securely and effectively.

The initiative represents a significant step in bridging the gap between industrial operations and advanced AI capabilities while maintaining the stringent security standards required in critical infrastructure. The development of these secure data bridges could potentially transform how industries implement AI-driven automation, enabling real-time optimization without compromising network security. This advancement matters because it lowers the risk threshold for industries considering AI integration, potentially accelerating widespread adoption in sectors like manufacturing, energy, and utilities. For more details on the funding agency, visit feddev-ontario.canada.ca. The project also benefited from strategic guidance, including expertise in artificial intelligence frameworks that helped refine its scope to address modern industrial demands, underscoring the collaborative effort behind this technological push.

Curated from NewMediaWire

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Burstable Editorial Team

Burstable Editorial Team

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