AI Frontend Development: Collaboration, Speed, and Culture
AI frontend development accelerates development cycles, transforms team collaboration, and reshapes engineering culture with AI agents and automation.
When AI can act, who is responsible for what it does?
How enterprises can govern agentic AI with accountability, runtime controls, human oversight, auditability, and recovery.
Why Scaling AI Means Redesigning How Work Gets Done, Not Just Adding a Tool To It
TO THE NEW COO Saurabh Das discusses scaling AI, AI-native engineering, cloud maturity and how enterprises can redesign work to turn AI into measurable business value
AI-Augmented Quality Engineering: Real Impact, Real ROI, Real Risks
Learn how AI augments quality engineering with self-healing tests, and governance frameworks. Real ROI, real risks, real solutions.
The High Stakes of Owning Business Outcomes
In a recent cover story by DQ Channels on the evolving role of outcome-based managed services, Divyanshu Bhushan, Business Head – India at TO THE NEW, shared his perspective on why
How Should Enterprises Choose AI Models in 2026?
How enterprises can compare and choose AI models in 2026 based on workload, cost, latency, reliability, routing, and flexibility.
Cheap AI vs. Powerful AI: What should enterprises choose?
Compare cheap vs superior AI intelligence. Learn how to balance model cost, performance, routing, and ROI for enterprise workflows.
Can Autonomous AI Systems Be Governed Like Software?
Explore agentic AI governance, runtime controls, and scaling strategies for autonomous systems.
