Implementation at Scale - Automating Surveillance using Artificial Intelligence (AI)



Transitioning from a few PoC deployments to AI-based Surveillance implementations at scale can be challenging. Infrastructure, management and processes may all need radical transformation to ensure the most robust and cost-effective system and workflows. Part 2 of this series covers the best practices for deploying surveillance systems at scale and for working through the complexity of designing end-to-end systems.

Attend this webinar to learn about:

  • Best practices for migrating from a PoC implementation to production-level deployment
  • Scalable, future-proof systems that can incorporate new use cases
  • Ensuring continuous training and models and updating installations
  • Services and support Arrow and Lenovo offer deployment support


Boris Tvaroska

Global Artificial Intelligence Solutions Lead

Boris Tvaroska is an international executive with over 20 years of technology consulting and pre-sales experience. His areas of expertise include project and program management, product management and development, software development management, machine learning and neural networks, natural language processing/bots, and public and hybrid cloud.

Ron VanTassel

Market Development


Market Development Manager
Arrow Global Services

Ron provides industry insight and strategic direction for the physical security market within the video surveillance industry. His security industry tenure includes many years of experience in IP based video surveillance technology, as well as being Milestone Certified, Axis Academy certified and a Sony certified professional. Ron is considered a valuable resource and highly competent with his expertise and knowledge within the market.



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Implementation at Scale - Automating Surveillance using Artificial Intelligence (AI)
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