Hikvision Holds "Shaping Intelligence" AI Cloud World Summit

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The summit discussed building an Artificial Intelligence (AI) ecosystem through open collaboration

Organized by Hikvision, the 2018 AI Cloud World Summit was successfully held at Hangzhou International Expo Centre from March 30–31.

Over 2,000 participants attended the summit, including industry experts and scholars, as well as Hikvision partners including Microsoft, Intel, Milestone Systems and Axxonsoft. Attendees and presenters explored trends in AI development, its real-world applications, and opportunities for AI-related partner cooperation in global markets.

Hikvision introduced AI Cloud in October 2017 at the China Public Security Expo in Shenzhen. AI Cloud is a development concept born out of the Internet-of-Things (IoT) era. It is a three-layered architecture that incorporates cloud and edge computing to provide multi-dimensional perception and front-end processing at Edge Nodes, and then process data in real-time and converged to Edge Domains for intelligent applications and create new data, and further converge on-demand data to the Cloud Center for big data analysis.

Hikvision AI Cloud Structure

Building AI Cloud Ecosystems Through Open Collaboration

Artificial intelligence is thought to be another rising technology that is going to significantly impact the human society.

In his keynote speech, Yunhe Pan, a member of the Chinese Academy of Engineering, highlighted that Artificial Intelligence is already evolving to its next stage due to the emergence of new social needs such as smart cities, smart medicine, and unmanned driving, as well as significant changes in information environments like the Internet, mobile computing, cloud computing, Internet of Things and others. In short, the next generation of Artificial Intelligence is moving towards big data intelligence, collective intelligence, and cross-media intelligence.

“A large number of application requirements are surging in a fragmented way. The implementation of AI is restricted mainly by three factors – data, computing power and application. To accelerate the process, it is necessary for all stakeholders in every industry to be open and collaborative to build an AI industry ecosystem,” said Yangzhong Hu, President of Hikvision addressing in the summit, “To enable more partners to participate in the construction and sharing of the AI ecosystem, the company will be fully open on its products and services, including the AI Cloud software platform, training system, AI services, data annotation and data sharing services, etc.”

Mr. Hu Yangzhou addressing at the summit

The Emerging Needs for Edge Computing

At the summit, Oliver Philippou, Associate Research Director at IHS Markit, gave Hikvision’s international attendees a presentation titled “Artificial Intelligence – The Present and Future Prospects for Video Surveillance”. According to Philippou, increasing numbers of network cameras on the global market pushes the development of video analytics further toward convergence – to edge and cloud systems – requiring better algorithms and deep learning to provide maximum accuracy.

Dr. Shiliang Pu, President of Hikvision’s Research Institute, shared the company’s AI research facilities, milestones, and achievements over the past years. Dr. Pu pointed to advantages of edge perception and its ability to generate multi-layered cognition to empower AI applications.

It is the joint efforts for various providers to build up this AI ecosystem. Hikvision was honored to have three of its strategic partners – Intel, Milestone Systems, and Axxonsoft – give keynote speeches in a summit session about mutual partnership and how AI changes partner ecosystems.

To get a glimpse of Hikvision’s AI Cloud World Summit, please click here for an exciting video.

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Hikvision holds "Shaping Intelligence" AI Cloud World Summit

The summit discussed building an Artificial Intelligence (AI) ecosystem through open collaboration

Building AI Cloud Ecosystems Through Open Collaboration

The Emerging Needs for Edge Computing

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