Interviews

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

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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

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

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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

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Hitachi bets on industrial expertise to win the physical AI race

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Physical AI–the branch of artificial intelligence that controls robots and industrial machinery in the real world–has a hierarchy problem. At the top, OpenAI and Google are scaling multimodal foundation models. In the middle, Nvidia is building the platforms and tools for physical AI development.  And then there is a third camp: industrial manufacturers like Hitachi

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Baran Ozkan — Building the Operating System for Financial Crime Compliance

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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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30+ Data Engineer Interview Questions and Answers

ai, AI (Artificial Intelligence), Artificial Intelligence, Data Engineering, Interview Prep, Interviews

Data Engineering is not just about moving data from point A to point B. In 2026, data engineers are expected to design scalable, reliable, cost-efficient, and analytics-ready data systems that support real-time decision making, AI workloads, and business intelligence. Modern data engineers work at the intersection of distributed systems, cloud platforms, big data processing, and

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Apptio: Why scaling intelligent automation requires financial rigour

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Greg Holmes, Field CTO for EMEA at Apptio, an IBM company, argues that successfully scaling intelligent automation requires financial rigour. The “build it and they will come” model of technology adoption often leaves a hole in the budget when applied to automation. Executives frequently find that successful pilot programmes do not translate into sustainable enterprise-wide

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Franny Hsiao, Salesforce: Scaling enterprise AI

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Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in

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Inside Standard Chartered’s approach to running AI under privacy rules

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For banks trying to put AI into real use, the hardest questions often come before any model is trained. Can the data be used at all? Where is it allowed to be stored? Who is responsible once the system goes live? At Standard Chartered, these privacy-driven questions now shape how AI systems are built, and

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Expereo: Enterprise connectivity amid AI surge with ‘visibility at the speed of life’

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AI continues to reshape technology and business; yet for the network, enterprise connectivity in the AI age means being always-on, and extra vigilant for sovereignty and security besides. This means that speed is not the only requirement. As Julian Skeels, chief digital officer at Expereo notes, it is more about ‘certainty.’ “AI workloads are distributed,

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