MWC 2026: AI Agents, 6G Networks & Privacy Phones – What Leaders Should Do Next

MWC 2026: AI Moved from Specs to Systems — What Leaders Should Do Next MWC 2026 made a clear pivot: vendors are embedding AI into chips, devices and networks so phones and wearables act like intelligent agents — not just faster bricks. The show wasn’t primarily about incremental specs; it was about platform bets that […]

MWC 2026: AI Everywhere — What Leaders Should Pilot Now (Edge AI, AI Call Assistants, Privacy)

MWC 2026 — AI Everywhere: What Leaders Should Pilot Now Mobile World Congress in Barcelona stopped being a parade of one-off flagships and became a systems-level briefing: AI agents and automation are being embedded across networks, handsets, and peripherals. That matters to procurement, contact centers, and any team planning edge-AI deployments. Executive summary — three […]

Cal Newport’s AI Takes: Executive Checklist for LLMs, AGI Readiness and Governance

Cal Newport’s AI Takes: What Business Leaders Need to Know Subhead: A rapid briefing on LLMs (large language models), generative AI, and concrete steps to improve AGI readiness and AI governance across the organization. Reading time: 4-minute read TL;DR: Cal Newport’s critiques refocus leaders on attention, adoption psychology and governance—this briefing shows which LLM and […]

MEM Enables AI Agents to Remember 15 Minutes — Practical Memory for Vision-Language-Action Robots

Robots that remember: MEM gives Vision-Language-Action agents about 15 minutes of useful context Executive summary: Robots have been short-sighted—acting on the last few frames and stumbling when a task stretches across minutes. Multi-Scale Embodied Memory (MEM) pairs dense short-term visual memory with compressed long-term language summaries so Vision-Language-Action (VLA) agents can hold meaningful context for […]

QLoRA on Colab: Reproducible 4‑bit LoRA Adapter Fine‑Tuning with Unsloth for Rapid Business AI

QLoRA on Colab: Reliable LoRA Fine‑Tuning with Unsloth (4‑bit, Reusable Adapters) Quick TL;DR Run low‑cost, reproducible supervised fine‑tuning (SFT) on consumer GPUs using a 4‑bit quantized base model + LoRA adapters via Unsloth and QLoRA-style tooling. This playbook trades scale for stability: fast prototyping, small reusable adapters, and predictable Colab runs — not a replacement […]

Lendi Built Guardian — Agentic AI Automating Mortgage Refinance in 16 Weeks

How Lendi Built Guardian: Agentic AI That Reimagines Mortgage Refinance in 16 Weeks TL;DR: Lendi built Guardian, an agentic AI system that continuously monitors home loans, surfaces better mortgage rates via a “Rate Radar,” and automates refinance flows so a customer can often lodge an application in about 10 minutes (company-reported). Built in a focused […]

Build a Production-Ready Scalable Analytics & ML Pipeline with Vaex

Build a production-ready, scalable analytics and ML pipeline with Vaex When your dataset reaches millions of rows, loading everything into memory fails. Vaex lets you process, aggregate, and model at scale without exhausting RAM by using out-of-core processing — that is, working on disk instead of trying to fit everything into RAM. Business scenario: city-aware […]

AI in the Classroom: Trainee Teacher’s Guide to ChatGPT, Cheating and Redesigning Assignments

TL;DR: I spent a semester in a Chicago high‑school English classroom where students regularly used ChatGPT, Gemini, Claude and other AI agents. The practical answer is neither ban nor full embrace: protect in‑class, tech‑free space; teach AI literacy; redesign assignments to reward process and local context; and keep human feedback where empathy and judgment matter. […]