AI and humans: Planning supply chains together

AI is seen by many as the best way to secure the future of their organisations, but there is significant public concern about its possible detrimental impact. Some are concerned about the concentration of power in the hands of huge tech companies, while some see automation as a threat to their employment.

Join leading independent product assessment group, Miercom and technical experts from Silver Peak as they discuss the performance expectations of today’s networks and how the right SD-WAN solution can improve application availability across the WAN using any type of transport. They will disclose how Silver Peak’s SD-WAN solution, Unity EdgeConnect fared in their aggressive stress test environment and provide a live demo on its performance capabilities.

In artificial intelligence (AI), increasingly complex algorithms, larger datasets, and process-intensive workloads lend to an insatiable demand for compute, memory, and storage, as well as higher-bandwidth, lower-latency communication between these components. Conversational AI, recommender systems, and computer vision are becoming increasingly prevalent, with new system architectures being explored to enable AI models with hundreds of trillions of parameters, and power supercomputers beyond exascale. These advances are bringing new challenges as the physical limitations of standard electrical interconnects are nearing the point of diminishing returns. Performance and efficiency losses from memory capacity limitations, network bottlenecks and stranded resources are being amplified at scale, creating a need for new system architectures to handle ever-growing, performance-intensive workloads.

Enterprise IT service desks are always under tremendous pressure in replying to or resolving a flood of services tickets, 72% of which are repetitive in nature such as Password Reset, software version issues, or unable to access systems. To make things worse, a simple Password Reset issue can have different workflow for different systems. Despite a certain level of automation in place and average 23% of IT budget spent on ITSM and ITOps, their performance remains an area of concern for COOs and CIOs.