Industrial IoT Data Platform: technologies and challenges
Back-end
• November 2022
Industrial IoT Data Platform: technologies and challenges
About
Industrial IoT Data Platform: technologies and challenges
About
The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. However, as the industrial world is currently in its initial stage of adopting full-stack development solutions with IIoT, there is a need to address the arising challenges. In this regard, the IIoT Data Platform reference architecture is developed based on different emerging technologies such as Robotic Process Automation, Edge & Cloud Computing, Big Data, Machine Learning, and Artificial Intelligence for the end-to-end integration of IIoT systems.
Language
English
Level
Intermediate
Length
21 minutes
Type
online conference
About the speaker
About the speaker
Volodymyr Maksymykhin
Data Chapter Global Lead •
DXC Luxoft
Born in Chernihiv, Ukraine. Graduated from technical university as Master of Computer Science with honors.
Have more than 20 years of IT experience working in international companies with focus on Enterprise solutions and digital transformation.
Worked at Microsoft as Data & AI Cloud Solution Architect in Central & Eastern Europe. Certified in Azure, SQL Server and Power BI. Microsoft Certified Trainer since 2018.
Lead the global community of outstanding data experts in DXC Luxoft as Data Chapter Global Lead.
Work for an account in Manufacturing as Data Platform Architecture Lead.
Details
Language
English
Level
Intermediate
Length
21 minutes
Type
online conference