From Fragmentation to Focus with Unified Control Planes
Discover how compute control planes streamline hybrid HPC operations by reducing infrastructure complexity, enhancing reproducibility, and accelerating insights across cloud and on-prem environments.
283 | Breaking Analysis | Tech Spending Remains Persistently Uncertain
While the NASDAQ seems to reach new highs daily, enterprise tech spending remains persistently cautious at the macro amid continued uncertainty. That’s not necessarily bad news but it can be disconcerting to decision makers. Often during transitional cycles, like the one we’re in now, executives don’t want to overrotate on capital allocations that deliver outcomes, which could potentially be achieved much more cost effectively with emerging technologies like AI. We’ve seen similar patterns in previous waves. There was a period of “great softness” in enterprise IT spending when transitioning from mainframes and minis to the PC era, a huge backlash from overly exuberant Y2K and dotcom spending; and a steady deterioration of traditional enterprise tech momentum during the cloud, mobile, SaaS, social, big data era. Each wave is different but two common themes remain: 1/ strong conviction that a new era is here; and 2/ fear of disruption, which sometimes leads to hasty decision making and waste. These countervailing forces seem to be in play today as 87% of enterprises report taking a cautious approach to AI investments. And that caution is showing up in the macro spend environment.
AI Meets Psychology: How to Build Agents that Understand People
In this episode of Next Frontiers of AI, we talk with Jonathan Kreindler, President and Co-Founder of Receptiviti, about the emerging science of psychologically aware AI. Jonathan explains how psychological signals—often hidden in filler words that LLMs overlook—are vital for turning AI agents from simple responders into emotionally intelligent and human-aware coworkers. His team is developing new technologies that provide AI with a validated, research-backed layer of human insight, enabling agents to detect stress, mindset, and decision-making style from natural language in real time.
Vector Search May Be the Missing Link in AI-Ready Data Strategy
Qdrant’s vector-native architecture enables real-time AI applications by transforming unstructured data into searchable, multimodal insights across hybrid, cloud, and edge environments.
Arista Acquires VeloCloud and Delivers New Innovations
Arista Acquires VeloCloud Arista recently acquired the VeloCloud SD-WAN portfolio from Broadcom, marking a significant expansion of its enterprise networking capabilities. The move aims to unify Arista’s existing campus/branch and data center solutions with VeloCloud’s SD-WAN technologies and broad customer base, creating a comprehensive client-to-cloud architecture that addresses the growing demands of distributed AI workloads […]
Rethinking Configuration as a Shared System of Record
Misconfiguration causes 70% of outages, yet enterprise tooling remains fragmented. Learn how treating configuration as a shared system of record improves traceability, auditability, and delivery velocity.
Accelerating the Future of Racing: How Private 5G Networks Power SailGP’s Digital Transformation
SailGP, often described as Formula 1 on water, is rapidly becoming a case study in how cutting-edge communications infrastructure can redefine what’s possible in competitive sports. At the heart of this transformation is the deployment of private 5G networks. While this technology may not be typically associated with sailing, it is now indispensable to this […]
Architecting the Future of Enterprise AI
Enterprise data platforms are evolving to support AI, data products, governance, and metadata across distributed environments. As AI and agentic applications grow, organizations need data platforms that unify metadata, enable secure governance, and deliver trusted data products at scale. We dive into how a vision is required that connects AI, governance, metadata, and data products into a cohesive platform strategy for modern enterprise data architectures with Justin Borgman, CEO of Starburst.
A Framework for Operationalizing Computer Vision at Scale
Computer vision has moved beyond POCs, but most enterprises still struggle to operationalize it. Discover how Plainsight’s VisOps model and OpenFilter framework are bridging the gap between data, models, and deployment to enable scalable, compliant vision systems.