How automation & AI can help organizations anticipate disruptions and adapt dynamically

Disruption can be a defining challenge across industries, introducing unpredictability that places enormous pressure on IT teams and operational leadership. Increasingly, organizations are exploring how automation and artificial intelligence can help them better manage these volatility-building systems designed not just to withstand disruption, but to help anticipate and respond more efficiently. From supply chain delays…

Cloud required DevSecOps. AI requires DevSecEng

The first wave of security “left-shifting” was driven by containers and the cloud, requiring unprecedented CIO-CISO collaboration. But that’s no longer enough. AI has introduced new attack surfaces that can be exploited at machine speed, with equally complex governance challenges. As 84% of developers integrate AI tools into their workflows and Gartner predicts AI governance…

Los presupuestos para IA se disparan, pero el retorno de la inversión sigue siendo difícil de alcanzar

El gasto empresarial en IA generativa se ha disparado durante el último año, pero para muchos directores de sistemas de información (CIO), las conversaciones más difíciles no han hecho más que empezar. Los consejos de administración y los directores financieros ya no se preguntan si la organización está invirtiendo en IA, sino qué está obteniendo…

When agents hit the walls

For decades, structural engineers and IT teams have shared the same testing logic: apply controlled pressure, find where things give way and fix. In IT, that means a server that buckles at scale, a query that times out under load or a process that degrades when pushed past its limits. Agentic AI could upend the…

데이터브릭스 부사장 “분석·운영 데이터 통합이 AI 성패 가른다”…플랫폼 전략 공개

이날 기조연설자로 나선 데이터브릭스 아태지역 필드 엔지니어링 담당 부사장 닉 에어스는 기업들이 AI 전환 과정에서 직면한 근본적인 문제로 ‘데이터 분산’을 지목했다. 그는 “오늘날 대부분의 기업은 다양한 시스템에 데이터가 흩어져 있어 동일한 데이터가 중복되거나 서로 다른 기준으로 관리되는 문제가 발생한다”고 설명했다 이어 분석 데이터와 운영 데이터가 분리된 구조 역시 AI 활용을 저해하는 핵심 요인이라고 지적했다. 에어스…

How Kubernetes is finally solving the GPU utilization crisis to save your AI budget

When I started working with Kubernetes over a decade ago, the conversations were about microservices, stateless web applications and horizontal pod autoscaling. Today, the conversation has fundamentally changed. Every architecture review I participate in now centers on one question: how do we orchestrate GPU-accelerated AI workloads at scale without burning through our budget? The numbers…

4 agentic AI success stories

Agentic AI is an autonomous system that can plan and execute complex tasks and processes as part of an overall workflow that includes humans or functions entirely on its own. Organizations are leveraging agentic AI for everything from managing customer inquiries to automating logistics, optimizing workflows, detecting fraud, and generating and testing code. Research firm…

Scaling a business: A leadership guide for the rest of us

Leadership is changing faster than most organizations can comfortably absorb. In 2026, senior leaders are being measured by a new mix of expectations, sharper accountability for performance, a more vocal and values-driven workforce and rising pressure to protect culture while navigating constant change. These shifts are not theoretical. They are already showing up in how…