Edge + SaaS is shifting experiences from centralized clouds to a distributed, event‑driven fabric that runs logic and AI close to users, slashing latency, improving reliability, and unlocking real‑time use cases at global scale. In 2025 this is moving from experiment to default design, powered by edge platforms, 5G/MEC, and AI inference at the network … Read more
Modern SaaS turns AI from “assistive chat” into governed systems of action that read context, decide, and safely execute tasks across CRMs, ERPs, helpdesks, and data platforms. The pattern: retrieval‑grounded intelligence to avoid hallucinations, agentic orchestration with typed tool‑calls, progressive autonomy with approvals and rollbacks, and strict performance/cost SLOs. Done well, teams see faster cycle … Read more
Cloud SaaS is evolving into an AI‑native operating layer where apps don’t just inform—they act. The future pairs retrieval‑grounded intelligence with agentic workflows that read from and write to core systems under strict guardrails. Architecturally, this means multi‑model routing, a unified data fabric, event‑driven orchestration, and visible governance (residency, audit, autonomy controls). Commercially, pricing shifts … Read more