Custom AI Chips and Infrastructure Spending: What the 2026 Shift Signals
Hyperscalers are diversifying AI compute with custom silicon, but GPUs remain central. The strategic question is workload fit, total cost…
Agentic AI Liability: Insurance, Controls and Enterprise Accountability
Insurance may help transfer some AI-related risk, but it cannot replace governance. Learn how enterprises should define responsibility, evidence and…
AI in Regulated Industries: Combine Generative Models with Deterministic Controls
Regulated organizations can use AI without asking a language model to make every decision. Separate interpretation from validated rules, approvals…
AI in Banking: Why Probabilistic Models Need Deterministic Controls
Banks can use AI for research, service and operations, but critical financial workflows need deterministic validation, clear authorization, traceable evidence…
India’s AI Data Centers: Power, Grid Capacity and the Infrastructure Challenge
India’s AI data-center expansion depends on reliable electricity, grid connections, cooling and utilization—not just GPUs. Capacity forecasts must be assessed…
Agentic AI Security: Identity, Permissions and Execution Risk
Enterprise AI agents need more than model-level safeguards. Secure identities, least-privilege access, bounded tool use, human approval and end-to-end monitoring…
India’s Defense AI: Mission Fit, Data Control and Human Oversight
India’s defense AI opportunity is about mission fit, secure integration and tested performance—not a blanket shift from large models to…
Agentic AI Accountability: Who Owns the Decision When Systems Act?
As AI agents take actions across business systems, accountability must be designed into the workflow. Clear owners, bounded permissions, meaningful…
AI in Defense: Governance, Testing and Human Responsibility
Defense AI requires mission-specific testing, clear decision authority and lifecycle assurance. Model benchmarks alone cannot establish that a system is…
AI-Enabled Defense Systems: Why Latency and Reliability Matter
AI-enabled defense systems must meet mission-specific latency and reliability requirements across sensors, networks, compute and human review. Speed matters only…
India’s AI Sovereignty: Compute Access, Chip Design and Supply-Chain Reality
India is expanding AI compute and semiconductor capacity, but compute access is not chip independence. Understand the different layers of…
Defense Technology in 2026: From Software Innovation to Industrial Readiness
Defense technology requires manufacturing capacity, secure supply chains, testing and sustainment alongside software innovation. India’s expanding industrial base creates opportunity,…