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Interviews
1.How are AI workloads exposing hidden inefficiencies in traditional data center infrastructure? The massive parallelism in the GPUs processing AI workloads is perhaps the root cause of exposing the limitations of the traditional compute-storage-networking infrastructure. GPUs, with their thousands of processor cores working in parallel, stress the infrastructure differently than traditional CPUs with a few dozen... Read More
1. What are some of the biggest misconceptions around using refurbished PCs in professional environments, especially for security-conscious industries? A frequent misconception is that refurbished PCs are inherently less secure or reliable than brand-new devices. When sourced from trusted manufacturers like HP, refurbished systems undergo rigorous testing, sanitisation, and re-certification processes to meet the same... Read More
1. What inspired the addition of multi-step reasoning, and how does it differ from the assistant’s earlier capabilities? Our merchants often deal with challenges that aren’t solved by looking at a single data point. A dip in sales, for example, can stem from inventory bottlenecks, an underserved segment, and shifting demand signals, all at once. We... Read More
1. What are the biggest challenges organisations face in achieving real-time data interoperability, and how can they overcome them? One major challenge in achieving interoperability is a world of constantly changing data formats and APIs. Batch-based systems introduce latency and tight coupling. Streaming platforms like Apache Kafka shift teams toward an event-driven architecture, where components exchange... Read More
1. Can you explain how the introduction of self-managed Akka nodes changes the way organizations can architect their distributed systems?Tyler: Fundamentally, self-managed Akka nodes means that enterprises can gain all the traditional benefits of Akka – scalability, elasticity, availability – on any cloud infrastructure. By decoupling the runtime from the platform, self-managed Akka nodes shift... Read More
1. Could you walk us through how Pi agents function in real-time, especially when dealing with unpredictable variables? Pi agents operate autonomously across the end-to-end freight management cycle, from procurement through planning to payment, adapting in real time to unpredictable variables. Powered by Pando’s proprietary Logistics Language Model (LLM), Pi interprets contextual signals and executes... Read More
1. How does the platform accelerate time-to-insight compared to other AI solutions in the market? View AI stands out by enabling organizations to move from raw enterprise data to actionable AI experiences in a matter of minutes, not months. Unlike traditional platforms that require extensive coding, specialized teams, and lengthy development cycles, View AI leverages... Read More
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