Executive Interviews

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Vasili Triant — Why AI Is Replacing CRM Layers, Not Enterprise Systems

ai, AI (Artificial Intelligence), AI Infrastructure, Artificial Intelligence, CEO Interviews, Customer Experience, Enterprise AI, Executive Interviews, Interviews

Executive Summary. Vasili Triant explains why AI is not replacing enterprise systems but eliminating redundant CRM layers as the stack shifts toward real-time orchestration and unified agent workflows. Enterprise customer experience is entering a structural transition as AI moves from front-end automation to real-time orchestration across systems. The question is no longer whether AI will […]

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France Hoang — Building Governable AI Systems for Universities

ai, AI (Artificial Intelligence), AI Infrastructure, Artificial Intelligence, CEO Interviews, Executive Interviews, governance, Interviews

Executive Summary. France Hoang argues that AI in education must evolve from isolated tools into governed, collaborative infrastructure that institutions can oversee, audit, and align with learning outcomes. As AI becomes embedded in higher education, institutions face a fundamental shift from adopting tools to operating AI as core infrastructure. The challenge is no longer access

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Ravi Teja Alchuri — Engineering Trustworthy AI for Production-Scale Fleet Systems

ai, AI (Artificial Intelligence), AI Infrastructure, Artificial Intelligence, Enterprise AI, Executive Interviews

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

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Jeff Fettes — Why Most CX AI Pilots Fail at Scale

ai, AI (Artificial Intelligence), Artificial Intelligence, automation, CEO Interviews, Customer Experience, Enterprise AI, Executive Interviews

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

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Nithin Mohan — Why AI Breakthroughs Depend on Supercomputing Discipline

ai, AI (Artificial Intelligence), AI Infrastructure, Artificial Intelligence, Enterprise AI, Executive Interviews, Featured, governance, High Performance Computing

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,

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Joey Gilkey — Rebuilding Outbound Sales Around Phone Intent and Predictive Precision

ai, AI (Artificial Intelligence), Artificial Intelligence, CEO Interviews, digital transformation, Executive Interviews, Revenue Operations

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

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Ethan Gustav — Building Always-On Fan Engagement Through Conversational AI

ai, AI (Artificial Intelligence), Artificial Intelligence, Conversational AI, digital transformation, Enterprise AI, Executive Interviews, Featured

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

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Jim Wetekamp — Connected Risk Intelligence for the AI Enterprise

ai, AI (Artificial Intelligence), Artificial Intelligence, CEO Interviews, Compliance, Enterprise AI, Executive Interviews, Featured, governance

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

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Baran Ozkan — Building the Operating System for Financial Crime Compliance

ai, AI (Artificial Intelligence), Artificial Intelligence, CEO Interviews, Compliance, Enterprise AI, Executive Interviews, governance, Interviews

Executive Summary. Baran Ozkan explains how AI-native systems, false-positive reduction, and workflow clarity are redefining how institutions scale regulated operations without losing audit defensibility. Financial crime compliance is moving from rule-heavy oversight to operational infrastructure. As fintech and banking systems scale in complexity, institutions are being forced to rethink how monitoring, investigations, and audit readiness

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