Edge Computing Expo Europe is a free in-person event and conference which will take place on 20-21 September 2022 at the RAI in Amsterdam. Edge Computing content will take place on Day 2, 21 September 2022. Consisting of a full day of top-level content and thought leadership discussions exploring the Edge Computing ecosystem.
In a world where speed, connectivity and real time access to data have become a way of life, edge computing has fast become an essential component of virtually every business’s IT strategy. For forward-thinking and dynamic enterprises, edge computing can enable a significant increase in operational efficiency and automation, while dramatically reducing latency.
This event is co-located with Digital Transformation Week, IoT Tech Expo, AI & Big Data Expo, and Blockchain Expo, so you can learn a variety of key enterprise technology solutions all in one place.
Edge Computing Conference sessions provide valuable edge computing insights and strategies for technology decision-makers seeking to explore and evaluate thought-leadership topics to drive businesses forward.
Over 5,000 visitors are expected to join including CTO’s, Heads of Innovation and Technology, IT Directors, Telecom Providers, Developers, Start-Up’s, Government, Automotive, Operators, Investors, VCs and more.
The conference sessions are perfect for those technology professionals making investment and strategy decisions, or building and executing pioneering projects within their organisation.
The sessions from Edge Computing Conference will be presented by over 40 speakers who will share their unparalleled industry knowledge and real-life experiences in the forms of solo presentations, expert panel discussions and in-depth fireside chats.
Watch the sessions to learn:
○ The importance of edge computing as a key pillar in a multi-layered and convergent technology strategy
○ Business wins enabled by the intelligent edge taken from advanced use cases across multiple industry verticals
○ Effective partnership models that will optimise edge computing
○ Using AI to increase the performance of edge devices
○ Creating best practice roadmaps for cloud-to-edge architectures
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