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Tag Archives: Redis

21Sep/26

Google AX stops the AI taxi meter

September 21, 2026Technology1, 2, 3, 4, 5, Ax, Cloud computing, Cloud infrastructure, Computing, Data management, Free software, Kubernetes, Microservices, Pod, Redis, Statelessadmin

Beyond Microservices: Why Autonomous AI Agents Demand a New Compute Paradigm

Sun 20 Sept 2026 /Mpelembe Media/ — Agentic workloads represent an entirely new compute paradigm that falls outside traditional cloud-native operational patterns. Unlike stateless microservices, which run as persistent processes with stable, predictable network traffic, or batch processing jobs, which execute linearly to completion with constant resource allocations, autonomous AI agents operate as stateful, long-running, and highly intermittent compute actors. An agent’s execution cycle typically consists of short bursts of intense localized computation—such as parsing context, executing generated code, or calling toolchains—punctuated by prolonged idle intervals spent awaiting remote model inference, tool execution returns, or human approvals. Continue reading →

03Jul/26

Agentic AI and the Human Pilot

July 3, 2026BusinessAI agent, Artificial intelligence, Context engineering, Deep learning, Empathetic Development, Generative AI, Human-in-the-loop, insight global, Intelligent agent, Large language model, Machine learning, Mark XLIV, Prompt injection, Qualtrics, Redis, Report, Tony Starkadmin

From Static Reports to Sensing Engines: Rebuilding Corporate Strategy for the Agentic Era

Thur, July 03 2026 /Mpelembe Media/ —Agentic AI is fundamentally restructuring corporate intelligence by shifting market research and competitor monitoring from slow, episodic project cycles into always-on, real-time “sensing engines”. This architectural shift automates the extraction of competitor movements, SEC filings, pricing changes, and customer sentiment to dramatically compress decision latency. However, as organizations attempt to scale these autonomous systems, they face a deep tension between the efficiency of synthetic simulation and the necessity of rigorous human-led governance. Continue reading →