The Future of Smart Maintenance

Case Study on How AI and IoT are Transforming Preventive Product Maintenance


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Kinestry x Apolis Smart Maintenance


As governments and organizations are seeking ways to mitigate the impact of a global crisis on supply chain operations, product manufacturing, and maintenance, it might be a good time to explore how AI, IoT, and Cloud Computing can help organizations in the current acceleration of digital services.

Andrew Zhang, PhD, CTO of Kinestry, worked on an AI Project, leveraging AI, IoT, and Cloud Computing to address equipment stability, unplanned downtime, and maintenance overruns of commercial printers for a Fortune Global 500 company.

After implementation, the company saw a cost reduction of approximately 40% in product maintenance. In this case study, we share how current advancements in AI, IoT, and Cloud Computing can provide Smart Maintenance for larger commercial products.

Smart Maintenance


  • Andrew Zhang is one of the leading experts in Artificial Intelligence, Machine Learning, Deep Neural Networks, as well as IoT, and Blockchain integration. He also holds a Ph.D. in Computer Science. Serving as the CTO at Kinestry, Andrew leads a long-term technology vision, and is responsible for the applied AI programs, industry thought leadership, and advanced technology application. Prior to his current role, Andrew worked as a research fellow at Stanford University, an AI expert at Sharp Corporation on leading AI-powered systems connected to IoT devices for preventive maintenance; and Head of AI at HB, a leading behavioral AI FinTech company.
  • Jay serves as the Head of Marketing, where he leads AI education to prepare organizations for the Future of Work through Human-Centered Design best practices. He spent the last 5 years working as a branding and digital marketing strategist for organizations from nonprofits and startups to retail and finance. Prior to Kinestry, Jay worked as a Lead Digital Marketing Consultant at Epiphany and Variable, where he was responsible for designing and developing CX-driven automation systems.