ABOUT THIS FEED
AI Time Journal is a community-driven platform that publishes interviews, op-eds, and features on artificial intelligence. Its RSS feed highlights perspectives from entrepreneurs, researchers, and thought leaders in the field. Readers will find discussions on AI adoption, career development, and ethical considerations, alongside profiles of startups and innovators. Unlike news-centric outlets, AI Time Journal emphasizes dialogue and personal voices, making it more reflective and community-oriented. The feed’s strength lies in its mix of human-centered storytelling and analysis, offering a sense of how individuals and organizations are navigating the AI revolution. With frequent posts, it’s an engaging resource for those who value diverse perspectives and want to follow the evolving conversations around AI across both industry and academia.
- Ravi Teja Alchuri — Engineering Trustworthy AI for Production-Scale Fleet Systems
Executive Summary. Ravi Teja Alchuri explains why deploying AI in fleet telematics platforms requires architectural discipline, governance guardrails, and systems trust to operate reliably at production scale. Fleet telematics platforms represent one of the most demanding environments for operational AI. Systems must ingest high-frequency telemetry from tens of thousands of moving assets, maintain reliability across
- Jeff Fettes — Why Most CX AI Pilots Fail at Scale
Executive Summary. Jeff Fettes argues that the real challenge in customer experience AI is not building smarter models but defining clear operational boundaries for what AI agents are allowed to do. Customer experience operations are emerging as a proving ground for enterprise AI. Yet many initiatives stall when pilot projects meet the complexity of real-world
- Glen Tullman — Consumer-Directed Care and the Rise of AI-Powered WayFinding in Healthcare
Executive Summary. As healthcare grows more fragmented and costly, Transcarent CEO Glen Tullman explains why consumer-directed platforms powered by generative AI are emerging as the next structural shift. He outlines how WayFinding moves from search to agentic action, why aligned incentives matter more than added features, and how responsible automation must keep clinicians firmly in
- Casey Hite — Engineering Predictable Access in AI-Driven Healthcare Operations
Executive Summary. Casey Hite explains how fragmented insurance workflows are becoming the proving ground for AI in healthcare operations, and why real-time validation, disciplined automation, and governance-first design are essential to improving patient access without eroding trust. As healthcare organizations scale, administrative complexity around insurance verification, approvals, and documentation continues to act as a hidden
- Planning for AI Induced Economic Volatility
Enterprise deployments of large language models and agentic workflows are shifting from experimental pilots to core infrastructure. In 2025, enterprises piloted AI. In 2026, they are going to production and, in 2027, they will scale. As organizations go to production, the company focus is on operational efficiency and infrastructure cost optimization. However, enterprise leaders must
- Nithin Mohan — Why AI Breakthroughs Depend on Supercomputing Discipline
Executive Summary. As enterprises race to adopt AI, HPE leader Nithin Mohan explains why infrastructure, not algorithms, is becoming the real constraint. He outlines how exascale computing, agentic system reliability, and distributed AI operations are redefining what it takes to move from impressive demos to economically viable production systems. As generative AI captures boardroom attention,
- Joey Gilkey — Rebuilding Outbound Sales Around Phone Intent and Predictive Precision
Executive Summary. TitanX Founder and CEO Joey Gilkey explains why sales organizations are shifting from activity-based outreach to intent-driven precision. He outlines how Phone Intent infrastructure, AI-powered behavioral signals, and channel restructuring are redefining SDR productivity, connect economics, and the future division of labor between automation and human sellers. As outbound channels saturate and connect
- Ethan Gustav — Building Always-On Fan Engagement Through Conversational AI
Executive Summary. As sports organizations shift toward year-round digital engagement, Infobip North America President Ethan Gustav explains how conversational AI, mobile messaging, and unified fan data are transforming teams from event-driven brands into always-on fan platforms. As fan expectations move toward continuous, personalized digital experiences, sports organizations are rethinking how they engage audiences beyond game
- Jim Wetekamp — Connected Risk Intelligence for the AI Enterprise
Executive Summary. As risk becomes faster and more interconnected, traditional periodic review models are breaking down. In this conversation, Riskonnect CEO Jim Wetekamp explains why enterprise risk management is emerging as a key proving ground for AI, and how integrated data, agent-based workflows, and governance-first design are shifting organizations from retrospective reporting to continuous risk
- How to Build AI-Driven SMB Growth Systems in a Multi‑Sided Network, Without Breaking Trust
Nextdoor sits at the intersection of neighbors, local businesses, and community trust – so success can’t be measured with one metric. Artem Kofanov, Finance & Strategy Lead at Nextdoor, builds decision systems that align product, data science, and go-to-market around durable marketplace outcomes. His work has helped scale hyperlocal demand and monetization systems that generated