Enterprise AI

Auto Added by WPeMatico

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 […]

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

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

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

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

Jeff Fettes — Why Most CX AI Pilots Fail at Scale Read More »

Glen Tullman — Consumer-Directed Care and the Rise of AI-Powered WayFinding in Healthcare

ai, AI (Artificial Intelligence), Artificial Intelligence, CEO Interviews, Enterprise AI, Featured, 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

Glen Tullman — Consumer-Directed Care and the Rise of AI-Powered WayFinding in Healthcare Read More »

Casey Hite — Engineering Predictable Access in AI-Driven Healthcare Operations

ai, AI (Artificial Intelligence), Artificial Intelligence, CEO Interviews, Enterprise AI, Featured, Healthcare, Interviews

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

Casey Hite — Engineering Predictable Access in AI-Driven Healthcare Operations Read More »

Planning for AI Induced Economic Volatility

ai, AI (Artificial Intelligence), AI strategy, Artificial Intelligence, Enterprise AI, governance, Thought Leader

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

Planning for AI Induced Economic Volatility Read More »

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,

Nithin Mohan — Why AI Breakthroughs Depend on Supercomputing Discipline Read More »

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

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

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

Jim Wetekamp — Connected Risk Intelligence for the AI Enterprise Read More »