Enterprise Edge Computing

Chairperson’s Welcome and Opening Remarks.

Modern enterprise requires ubiquitous application distribution in a hybrid multicloud environment, from customer premises to edge and both private and public clouds. A “Deploy and Connect” strategy for Edge workloads is the answer. With security, reduced complexity, and Edge application lifecycle management offered through a “Deploy and Connect” strategy, MEC, IoT, Industry 4.0 applications are covered on Network/Metro Edge locations and on-premise Far Edge locations. In this joint session, IBM’s Vice President and CTO IBM Edge Computing, Rob High, will present how IBM Edge workloads deployment and application lifecycle management capabilities are enhancing worker experience with AI-analytics and augmenting human productivity at scale and with cost efficiency.  We’ll also explore connectivity to other Edge workloads and private, public clouds for end-to-end distributed application connectivity with network as well as infrastructure and application observability.

This Session Will Explore…

• Saving operational costs by reducing truck rolls/on-site visits
• Improving developer productivity and velocity of edge application delivery
• Central management of 10,000s of edge sites, data centers, and public clouds
• Unified lifecycle management of virtual machines, containers, and bare metal servers

• The current state of Edge applications.  
• Examples of Edge enhancing process capabilities.  
• What are the current pitfalls and how to combat these. 

• Assessing technologies to understand roadblocks that have been faced in the deployment. 
• Discussing lessons learned from a successful deployment of edge enabled infrastructure. 
• How can your organization rapidly scale up the deployment of edge infrastructure.  
• Local vs Global deployment.

Join us at the EDGE and learn why Splunk is the key to Business Resilience – offering a unified security and observability platform to keep your digital systems secure and reliable. We’ll introduce you to the Splunk Edge Processor, a service offering within Splunk Cloud Platform designed to help customers achieve greater efficiencies in data transformation close to the data source, and improved visibility into data in motion. Unique to Splunk’s Edge Processor is its architecture, chiefly the cloud-based control plane that enables next gen data transformation for the enterprise.

More to follow soon …

Deploying and monitoring container applications at the edge is different from the central cloud in several aspects. In this presentation, Carl will talk about how platform teams can make the edge as easy and comfortable as the cloud for application teams.

E-commerce is thriving. However, traditional brick and mortar stores are not only still relevant but also constantly innovating and evolving. These edge platforms must be able to adapt to accommodate new capabilities that can improve and simplify the customer experience.  In this session, you will discover Walgreen’s approach to modernizing its edge strategy. You will also explore how Enterprise Architecture must evolve its practice to stay ahead of the demands of modernization 

• What makes edge computing economically viable?
• Can edge computing replicate the economic success of cloud computing?
• What are the economics imperatives that edge computing must factor in to succeed?
• Join this session to find answers to these questions.

• Future roadmap toward widespread adoption of intelligent Edge. 
• The possibilities created by fast and local critical decision making. 
• Predictions for the next round of innovations within the space – where will Edge be by 2025? 
• Reviewing Digital Twin Enablers – what are the opportunities and risks with these technologies? 

Apps that run at the edge must be fast and reliable at all times, especially those operating in remote locations such as deep wilderness, underground, at sea, or in the air. A fundamental challenge in meeting these requirements remains the network; no matter the coverage, reliability or speed it provides, it will inevitably suffer latency and outages that bring down the applications that rely on it. The only way to guarantee uptime and low-latency is to bring data storage and processing to the edge, eliminating dependencies on distant cloud data centers and the internet. In this session you will learn about the importance of having a cloud-native, edge-ready database for powering always fast, always on edge and IoT apps. 

In this session, we will explore the potential of Edge AI computer vision in enterprise settings, including specific use cases and lessons learned from real-world implementations. We will discuss the benefits of Edge AI computer vision, including real-time processing, improved privacy and security, and energy efficiency, and how it can be used to enhance the customer experience, increase safety and security, and reduce costs.

Key Take Aways:

• • Learn about Edge AI computer vision can bring numerous benefits to enterprise settings, including improved operational efficiency, enhanced customer experience, increased safety and security, and reduced costs.
  • Learn Real-world use cases demonstrate how Edge AI computer vision is being used in various industries, such as manufacturing, healthcare, retail, and transportation, to solve challenges and improve operations.
  • Learn about Implementing Edge AI computer vision in enterprise settings which requires careful consideration of data privacy, security, and compliance, as well as optimization of AI models for low-power edge devices.
  • Lessons learned from real-world implementations can help guide successful adoption of Edge AI computer vision, including identifying the right use cases, selecting the appropriate hardware and software, and managing data quality and quantity.
  • Learn about Future trends in Edge AI computer vision include integration with other emerging technologies such as 5G, cloud computing, and the Internet of Things (IoT), and increasing use of AI at the edge.
  • Learn about how to unlock the potential of Edge AI computer vision in enterprise settings, businesses can gain a competitive advantage and improve their bottom line while also enhancing the customer experience and improving safety and security.

View Day Two Content Here:

Optimizing the Edge

Future Progressions | Accelerating Transformations | Robotics & Computer Vision | Innovations | Industry Use-Cases