The growing adoption of edge AI in enterprises presents new challenges and opportunities for large and small operations alike. In another fresh, short video digest from IoT Now, again featuring Robin Duke-Woolley, the CEO of Beecham Research and Tal Klein, the Head of Marketing for the VeloCloud Division at Broadcom; explore edge AI for enterprises and how this emerging tech is evolving the industry at an exponential pace.
This snappy video shares insights on:
- Where the adoption is – Enterprises are leveraging this technology in various applications across video conferencing, chatbots and co-pilots. However, the market has seen significant growth in agentic AI recently. This is where LLMs consolidate and provide access to enterprise data, perform complex tasks and interact with human and non-human users alike.
- What challenges are there – This usage means that traffic is changing overall. Data now flows primarily from edge devices to data centres and the cloud, reversing traditional patterns. There’s also the issue of encryption. This makes it harder to identify, prioritise and manage workloads.
- Why edge AI requires new SD-WAN and SASE solutions – With increased and differentiated kinds of traffic, operations need to enable efficient distribution and management of that AI traffic within their enterprise networks. Innovative solutions like Velocloud are the key.
- Benefits of VeloCloud – Learn about their Dynamic Multipath Optimization Engine trained on AI traffic patterns and the Dynamic Application-Based Slicing (DABS) that lets them identify and prioritise these workloads, even when they’re encrypted.
In this quick interview, you’ll glean some core insights around the growing adoption of edge AI in enterprises. With perfectives from leadership at Broadcom, get a look at the challenges that have created their new platforms and solutions within the marketplace. Click below to watch that discussion now.
