InsuranceTechnical debt in insurance is knowledge debtAI can now recover, prove and retire the rules locked inside legacy insurance systems. 2026 is the year to start.Swarup DuttaSeptember, 2026Read articleRead article
Data & AnalyticsYour AI doesn't have a meaning problem. Your enterprise does.Governed semantics for explainable AI in insurance.Jayaprakasha Sarma C & Kushal Sen LaskarSeptember, 2026Read articleRead article
InsuranceBeyond the AI glitter: engineering systems of reasoning for P&C insurers & MGAsRajib ChatterjeeSeptember, 2026Read articleRead article
Cloud & AI GovernanceBuilding an AI ready cloud foundation in 30 daysWhy enterprise AI needs a secure, governed cloud foundation before models can move from pilot to production.Anand SukumaranSeptember, 2026Read articleRead article
Cloud & AI GovernanceCloud posture management built around attack pathsA practical model for connecting cloud risks into attack paths, prioritizing remediation, and keeping evidence ready for audit.Anand SukumaranSeptember, 2026Read articleRead article
AI and AutomationHow we built an AI first operating modelI set out to stop running a business on scattered spreadsheets and gut calls. What I got, almost as a byproduct, was proof.Mahesh PrabhuAugust, 2026Read articleRead article
FinanceThe modern CFO mandateThe hardest part of finance transformation has nothing to do with technology. It is changing how finance works, how decisions are made, and how accountability is governed.Ranjit NairAugust, 2026Read articleRead article
MarketingThe new positioning playbook for AI acceleration companiesHere's a thought experiment: If you removed all mentions of AI from your positioning, would you still have a differentiated story?Tanu VermaAugust, 2026Read articleRead article
AI and AutomationWhere AI creates value in trade financeAI improves trade finance when institutions embed it into document review, compliance, risk, and exception handling, not when they add it to fragmented workflows.AI ArchitectAugust, 2026Read articleRead article
EngineeringWhy most quality programs measure the wrong thingQuality improves when teams measure whether every meaningful change has the right test coverage, not how many tests they run.AI EngineerAugust, 2026Read articleRead article