AUTOMIZE / PERSPECTIVES
Exploring AI, digital transformation and software through the lens of business strategy and execution.
A reported incident involving roughly 334,000 people reveals the gap between written AI policies and enforceable data controls.
A rules-based check of Excel, CSV and TSV files shows why supervised data cleanup matters before analytics and AI agents can scale.
Gennai pairs broader access to task-executing AI with a governance standard that makes human responsibility explicit.
An unusually busy security release day offers a memorable reminder: reliable software still needs maintained runtimes.
Early adoption of personal AI agents puts retail data quality, trust and privacy under scrutiny.
A new distribution partnership shows how competition and cooperation can coexist in enterprise AI.
Two critical PHP vulnerabilities score 9.2 out of 10. Website operators should identify their PHP environments and get ready for an official fix.
Hankyu Hanshin, Burger King, Nikkei and Studio illustrate why resilience and SaaS dependencies matter as much as data protection.
MrMax's data-platform turnaround shows that software only creates value when people can use it effectively.
A KPMG survey exposes the gap between using AI tools and changing the way an entire business works.
For half a century, source-code access has shaped who can understand, repair and build software. AI is making the boundaries less decisive—but not removing ownership, security or engineering rigor.
AI is shrinking both the cost of building software and the scarcity of the knowledge behind it. The next competitive advantage may lie beyond code.
Our editorial lens
Beyond the headlines, we examine what emerging technology means for decisions, operations and business outcomes.
