Enterprise Edge Computing

• Debating the merits of different charging models.
• Speed is everything: Delivering lower latency and other benefits to customers via Edge.
• Enhancing data privacy with edge.
• Conserving network bandwidth and reducing congestion.

• Exploring current and potential Edge use cases for retail and consumer goods
• How Edge computing improves reliability, enhances customer experience and boosts efficiency 
• Real world applications discussed

• Climate change and sustainability are so urgent, and so complex, that they are impossible to solve with traditional methods and systems. Instead, Edge Computing and IoT are the new frontiers for literally saving the world – please join us to learn how.

Edge customers need 1-click business apps to purchase and deploy. Meanwhile, app vendors need scalable, recurring revenue.

In this talk, I explore the need for a marketplace of business apps to unlock the potential of edge computing.

• Edge computing is all about a distributed-cloud architecture designed to reduce latency and increase reliability by storing and processing data closer to the applications that use it. But it only works if you use the right database, one designed specifically for data processing and synchronization across edge topologies. In this session Couchbase discusses how processing data at the edge, including on the edge device itself, ensures the highest guarantees of speed and availability for mobile and IoT applications

Edge Computing demands low-latency, high-performance infrastructure that is local to the solution; yet at a larger scale, the Enterprise is moving critical IT workloads into complex hybrid, multi-cloud environments. How can we bring these two worlds together?

• Cloud Native at the Edge.
• Connecting Edge to Cloud.
• Integrated Observability, Provisioning and Management.
• Recipes for success.

• The impact of Edge Computing on how we think not just about data but how we use the data for smarter predictability and decision making
• A look at Edge Computing using Artificial Intelligence and Machine Learning
• How Edge Computing can be used alongside areas of modern technology such as Blockchain, Digital Twin, Augmented and Virtual Reality an as an extension of Internet of Things (IoT)