Build•21 min read•Advanced
The Hidden Memory Layer Behind Long-Context AI
Why inference context memory, not GPU compute, is the next AI bottleneck. A practitioner's guide to the KV cache, prefix caching, memory tiers, and governance.
Ritesh Vajariya
Build•16 min read•Beginner
The Gigawatt Era: What AI's Power Unit Really Means
One gigawatt is a billion watts - the unit now defining AI data centers from Meta to OpenAI's Stargate, and why the world may need over 200 of them by 2030.
Ritesh Vajariya
Build•22 min read•Intermediate
Disaggregated Inference Explained: How LLM Serving Is Splitting Apart
A primer on disaggregated inference: how separating prefill and decode reshapes LLM serving, why the KV cache matters, and when this architecture pays off.
Ritesh Vajariya
Train•7 min read
Best Enterprise AI Training in the US — A 2026 Comparison
Honest 2026 guide to US enterprise AI training across academic incumbents, skills platforms, and practitioners - how to choose by fit, not just brand prestige.
AI Guru Team
Govern•6 min read
Third-Party AI Risk — How to Govern What You Don't Build
Most AI risk lives in vendor and SaaS tools you didn't build - manage it through procurement, vendor assessment, contracts, and ongoing monitoring controls.
AI Guru Team
Govern•6 min read
ISO 42001 — The First Certifiable AI Governance Standard
ISO 42001 is the first AI management standard you can certify against - how auditing works, and how it complements NIST AI RMF and EU AI Act compliance.
AI Guru Team
Build•5 min read
AI Data Governance — Training Data, Quality, Bias, and Documentation
Governing AI training data in practice - consent and legality, quality dimensions, sources of bias, and cross-border challenges, grounded in NIST and EU rules.
AI Guru Team
Govern•4 min read
AI Decommissioning — When and How to Shut Down an AI System
When to retire an AI system - regulatory shifts, performance decay, stakeholder opposition - plus a checklist for shutdown, transition, and notification.
AI Guru Team
Govern•6 min read
The EU AI Act — A Practitioner's Guide to Risk Classification
A practitioner's walkthrough of the EU AI Act's four risk tiers, GPAI rules, and penalties up to 7% of global turnover - plus what the timeline means.
AI Guru Team
Train•4 min read
AI Training & Awareness — Building a Governance Culture
Policies without understanding produce compliance theater - how tiered AI literacy training, from board to staff, makes governance culture truly take root.
AI Guru Team
Build•4 min read
Model Cards, Datasheets, and AI Documentation — What You Need and Why
What model cards and dataset datasheets should document - intended use, limitations, metrics, ethics - and how to match documentation rigor to system risk.
AI Guru Team
Govern•5 min read
Agentic AI Governance — When Your AI Can Take Actions
When AI acts instead of advising, a governance failure becomes a bad outcome. Covers authority delegation, scope limits, oversight, and incident response.
AI Guru Team
Govern•4 min read
AI and Consumer Protection Law — Unfair and Deceptive Practices
How FTC Act Section 5 applies to AI - what makes a practice unfair or deceptive, enforcement actions, and emerging risks like AI-personalized dark patterns.
AI Guru Team
Govern•5 min read
Building an AI Governance Program — Roles & Structure
AI governance is an operating model, not a document - the roles, teams, and structure to scale oversight from 5 models to 500 without becoming a bottleneck.
AI Guru Team
Build•5 min read
AI Testing and Validation — Beyond Accuracy Metrics
A model can be 95% accurate overall yet 60% for one demographic - why testing needs the TEVV framework, disaggregated evaluation, and fairness analysis.
AI Guru Team
Govern•5 min read
What Is AI Governance — And Why Every Company Needs It Now
What Is AI Governance: AI systems are fundamentally different from traditional software — they are probabilistic, opaque, autonomous, and data-dependent.
AI Guru Team
Govern•4 min read
NIST AI RMF vs. ISO 42001 vs. EU AI Act — A Comparison
How NIST AI RMF, ISO 42001, and the EU AI Act differ - voluntary framework, certifiable standard, and law - and why they complement rather than compete.
AI Guru Team
Govern•7 min read
NIST AI Risk Management Framework — A Practitioner's Walkthrough
A practitioner's walkthrough of the NIST AI RMF's four functions - Govern, Map, Measure, Manage - and how to embed them in operations, not one-off compliance.
AI Guru Team
Build•4 min read
Evaluating AI for Deployment — Build vs. Buy, Cloud vs. Edge
Match build-vs-buy and cloud-vs-edge decisions to risk using NIST AI RMF, the EU AI Act, and OECD principles - practitioner guidance for governance teams.
AI Guru Team
Govern•5 min read
How Data Privacy Laws Apply to AI — GDPR, CCPA, and Beyond
How GDPR and CCPA shape AI: notice requirements, lawful basis for training data, purpose limitation, and data minimization against AI's hunger for more data.
AI Guru Team
Govern•5 min read
AI Developers vs. Deployers vs. Providers — Who's Responsible?
When AI causes harm, who is liable? How the EU AI Act splits obligations across providers, deployers, developers, and users - and why roles often overlap.
AI Guru Team
Govern•4 min read
AI Vendor Contracts — Key Terms to Know Before You Sign
Data ownership, performance SLAs, IP licensing, and audit rights - the AI vendor contract terms governance teams should pin down before they sign a supplier.
AI Guru Team
Build•4 min read
Continuous AI Monitoring — Drift, Degradation, and When to Retrain
Data drift, concept drift, and model drift all degrade AI in production. How teams catch decline early with segment metrics and decide when to retrain a model.
AI Guru Team
Govern•5 min read
The OECD AI Principles — The Foundation of Global AI Governance
The five OECD AI principles - inclusive growth, human-centered fairness, transparency, robustness and safety, accountability - anchoring global AI governance.
AI Guru Team
Govern•5 min read
AI Lifecycle Policies — What to Govern at Every Stage
AI governance spans the full lifecycle, not one pre-deployment gate. The policies, checkpoints, and owners needed from use case approval to decommissioning.
AI Guru Team
Govern•5 min read
AI Governance for Financial Services — What Regulators Expect
Banks and insurers must extend SR 11-7, OCC model risk rules, and fair lending duties to AI while preparing for the EU AI Act and DORA - a framework for both.
AI Guru Team
Govern•4 min read
Transparency Obligations for AI — What to Disclose, to Whom, and When
EU AI Act transparency by risk tier, user notice for chatbots and deepfakes, regulator documentation, and GPAI training-data summaries - what to disclose when.
AI Guru Team
Build•5 min read
AI Explainability — Methods, Limitations, and What Actually Works
Distinguishing explainability, interpretability, and transparency, why it matters for the EU AI Act, NIST's four principles, and interpretable models.
AI Guru Team
Govern•4 min read
AI and Product Liability — When AI Systems Cause Harm
How product liability maps to AI: design defects from biased training, manufacturing defects from model drift, failure to warn, and strict liability vs fault.
AI Guru Team
Govern•5 min read
AI Incident Management — When Things Go Wrong
Why brittleness, opacity, and cascading effects make AI incidents different from IT incidents, plus classification, detection, and containment options.
AI Guru Team
Govern•5 min read
AI Impact Assessments — How to Conduct Them and Why They Matter
Compare privacy, algorithmic, and fundamental rights impact assessments for AI - when each type is required versus recommended, and how to conduct one.
AI Guru Team
Govern•6 min read
AI Risks and Harms — A Taxonomy for Governance Professionals
A practitioner's taxonomy of AI risks organized by who gets harmed, how, and why - covering discrimination, privacy, manipulation, and physical safety risks.
AI Guru Team
Build•4 min read
Governing AI System Design — From Use Case to Architecture
A practitioner's guide to governing AI system design from use case to architecture, with feasibility, risk/benefit analysis, and knowing when not to build.
AI Guru Team
Build•4 min read
AI Release Readiness — From Lab to Production
A release readiness checklist for moving AI from lab to production - validated performance, bias and fairness testing, security, and stakeholder sign-off.
AI Guru Team
Govern•4 min read
AI and Intellectual Property Law — What You Need to Know
How copyright applies to AI training data, the limits of fair use, key court cases, and the unsettled legal question of who owns AI-generated outputs.
AI Guru Team
Govern•5 min read
AI Governance Maturity — Where Does Your Organization Stand?
Assess your AI governance against five maturity levels, from ad hoc experiments to metrics-driven management with continuous monitoring and improvement.
AI Guru Team
Govern•5 min read
Responsible AI Principles — From Theory to Practice
Six responsible AI principles meet reality: fairness tests via demographic parity and equalized odds, tooling like Fairlearn, and the tradeoffs teams resolve.
AI Guru Team
Govern•4 min read
Secondary Risks and Unintended Uses — Forecasting What Could Go Wrong
Function creep, dual-use repurposing, and cascading downstream harms - how to forecast the secondary AI risks that surface long after a system ships to users.
AI Guru Team
Govern•4 min read
External Communication Plans for AI — Transparency Without Panic
What to tell stakeholders about your AI before anything breaks: proactive disclosure under the EU AI Act, plus a crisis playbook for handling AI incidents.
AI Guru Team
Govern•4 min read
Cross-Functional AI Governance — Why It Can't Live in One Department
Why engineering alone cannot govern AI as a socio-technical system, and who needs a seat - legal, compliance, privacy, security, HR, business, and design.
AI Guru Team
Govern•5 min read
EU AI Act — Requirements for High-Risk AI Systems
EU AI Act duties for high-risk systems: continuous risk management, data governance and bias checks, technical documentation, transparency, human oversight.
AI Guru Team
Govern•5 min read
General-Purpose AI Under the EU AI Act — What Providers Need to Know
What counts as general-purpose AI under the EU AI Act, how GPAI models differ from systems, and the documentation and downstream duties every provider faces.
AI Guru Team
Train•5 min read
The AIGP Certification — What It Is, Who It's For, and How to Prepare
A practitioner's guide to IAPP's AIGP certification: who it suits, the four-domain body of knowledge, the 90-question exam, and how to prepare for it.
AI Guru Team
Govern•4 min read
Ongoing AI Governance — Audits, Red Teaming, and Periodic Assessment
Internal, external, and algorithmic audits compared, plus red teaming - how mature programs separate the testing function from development for AI oversight.
AI Guru Team
Govern•4 min read
AI and Non-Discrimination Law — Employment, Credit, Housing
How Title VII, the ADA, EEOC guidance, and ECOA apply to AI in hiring, promotion, credit scoring, housing, and insurance - with resume-screening bias examples.
AI Guru Team
Govern•4 min read
Deploying AI Responsibly — Data, Risk & Training
How to translate AI policies into deployment - data governance in production, continuous risk monitoring, and user training for the people using the AI.
AI Guru Team
Govern•3 min read•Beginner
AI Regulations You Should Know About — A Quick Guide
Existing laws already cover AI: Title VII, ADA, HIPAA, GLBA, FERPA, and CCPA all apply. 'The AI did it' is not a defense - your organization owns the outcome.
AI Guru Team
Govern•9 min read
Human in the Loop" Is Not a Control
Why human oversight often fails as an AI safeguard - the UnitedHealth nH Predict case shows automation bias turning reviewers into rubber stamps, not controls.
AI Guru Team
Govern•7 min read
The Code You Didn't Authorize
AI coding assistants spread before governance catches up - Copilot is in 90% of the Fortune 100, often via individual signups with no procurement or review.
AI Guru Team
Govern•6 min read
The Assistant That Can Act
Agentic assistants like OpenClaw hold OAuth keys to email, calendar, Slack, and CRM with no IT review - why this new category is a governance problem.
AI Guru Team
Govern•6 min read
The Kill Switch
When an AI system goes wrong, who can turn it off? Why distributed ownership, undefined thresholds, and missing rollback runbooks turn shutdown into a meeting.
AI Guru Team
Govern•5 min read
When AI Becomes a Board Issue
A chatbot meant to summarize policy made a decision, and a discrimination claim landed on the board. Why AI failures are governance failures, not tech defects.
AI Guru Team
Train•5 min read
The Question Nobody Wants to Ask in 2026
The 2026 question isn't how to train people on AI but which roles should still exist - why mass reskilling fails and redesigning the work comes first.
AI Guru Team
Train•6 min read
Why Do 80% of AI Projects Fail?
AI projects fail because people kill them, not the technology - how backwards middle-manager incentives, silos, and broken trust sabotage adoption efforts.
AI Guru Team
Train•6 min read
The Middle Manager Paradox
Companies cutting middle managers to save millions are now slower, with nobody coordinating - why eliminating the layer and clinging to it both backfire.
AI Guru Team
Train•4 min read
The Ancient Algorithm: When 5,000-Year-Old Wisdom Meets New Age AI
Two of four AI Guru launches crushed it with the same team. How timing shaped outcomes, and why ShubhAI brings Vedic time windows into your workflow for free.
AI Guru Team
Train•20 min read
Building Through the AI Bubble
You can be right about AI and wrong about timing. Why the technology is real revenue today while valuations may price in a future three to five years away.
AI Guru Team
Train•9 min read
The Gen Z AI Trap
Gen Z uses AI 70% weekly yet shows just 50% expertise - learning to work through AI, not with it. Why the most connected generation is the least prepared.
AI Guru Team
Train•9 min read
The Reskilling Myth: Why Top Firms Are Choosing AI Over Retraining
Accenture's $865M restructuring, Salesforce cuts, and IBM's HR layoffs signal a shift. With OpenAI's GDPval, AI now matches experts on 47.6% of valuable tasks.
AI Guru Team
Train•8 min read
The Switzerland Strategy: How to Profit from AI Without Building AI
Why the AI gold rush rewards infrastructure, not apps - how OpenRouter routes calls to 400+ models for a 5% cut, and the lesson for founders and investors.
AI Guru Team
Train•1 min read
The AI Gold Rush: Who's Actually Getting Rich
A plain-language AI and machine learning course built for people with no technical background, with a money-back guarantee, to share with someone who needs it.
AI Guru Team
Build•8 min read
The Coding Agent Revolution: Why History Is Repeating Itself
AI coding agents echo the 2006 cloud shift - 84% of developers now use AI tools, yet 46% distrust the output. A practitioner's take on Claude Code vs Gemini.
AI Guru Team
Build•5 min read
Introducing Plan — Strategic Analysis in Hours, Not Weeks
Plan turns weeks of strategic analysis into hours - 8 frameworks, 15+ AI agents, and live market data built to cut the busywork around real strategic thinking.
AI Guru Team
Train•9 min read
We're Becoming Smarter and Dumber at the Same Time
An MIT study found ChatGPT users showed 55% less neural connectivity and 83% could not recall their essays. What that paradox means for all of us using AI.
AI Guru Team
Build•4 min read
I Built an AI for People Who Hate Writing Emails
How a 7-day build produced DraftEmail, an AI tuned for professional email with a Chrome extension and templates - 500 beta users save 5+ hours a week.
AI Guru Team
Govern•7 min read
The Five AI Limitations Every Business Leader Must Know
Why 80% of AI projects fail comes down to five limitations leaders ignore, from the understanding illusion to poor data quality, not the technology itself.
AI Guru Team
Govern•8 min read
The $2.3 Million AI Mistake (And How to Avoid It)
A Fortune 500 firm burned $2.3M assuming the priciest model wins. How to match AI models to tasks across powerhouse, balanced, and efficiency tiers for ROI.
AI Guru Team
Train•5 min read
Launching PMCoach — Master Stakeholder Conversations
Stakeholder conversations cause 75% of project failures. PM Coach lets you rehearse hostile sponsors and scope creep with AI, across three career tracks.
AI Guru Team
Build•7 min read
Beyond the Paycheck: How Agentic AI Is Transforming Total Rewards
Fragmented data and one-size-fits-few programs leave Total Rewards underdelivering. How agentic AI unifies systems and personalizes rewards for HR leaders.
AI Guru Team
Train•6 min read
Beyond Hybrid Work: The Era of Human-AI Teams
AI agents have moved from hype to high-stakes reality, with bets from OpenAI to Nvidia. How the hybrid workforce reshapes teams for leaders and investors.
AI Guru Team
Build•2 min read
Rethinking Clinical Documentation with AI
Physicians spend 34-55% of their day on notes, costing $140B yearly. How ambient clinical documentation cuts that up to 70% and eases clinician burnout.
AI Guru Team
Build•22 min read
AI Agents Come of Age: How Enterprises Are Driving Real Value in 2025
Enterprise AI agents now deliver 30-40% efficiency gains via multi-agent setups like Moody's 35 specialized agents, defense-in-depth controls, and oversight.
AI Guru Team
Build•4 min read
AI in Action: The Evolution of Sales Analytics
Three waves of sales AI from basic automation to integrated intelligence, with results like Clay's 312% response lift and Klarna scaling 700 agents of work.
AI Guru Team
Train•2 min read
AI's unprecedented progress
Claude 3.5 Sonnet can now use computers and scores 49% on SWE-bench, Stable Diffusion 3.5 ships, and xAI opens its API. What each release means for your work.
AI Guru Team
Build•6 min read
Fast Inference in Generative AI: A Game Changer
Generative AI inference feels slow due to sequential token generation and memory bandwidth limits - even an H100 3.3 TB/s falls short of 1,000 tokens/sec.
AI Guru Team
Build•5 min read
Revolutionizing Education Through Multisensory AI
How multisensory AI tailors learning to each student with video, audio, and interactive content, and grades work through speech, presentation, and feedback.
AI Guru Team
Build•4 min read
Meta's Llama 3.1: Democratizing AI
Meta's Llama 3.1 405B is the first open-source model rivaling GPT-4o and Claude 3.5, leading GSM8K math at 96.8, with 128K context across the upgraded family.
AI Guru Team
Train•8 min read
AI in 2024: Buckle up, it's about to get wild 🚀
Remember when we thought AI was just about chatbots and funny image generators? I'm telling you, we're on the edge of an AI explosion. It's gonna be wild.
AI Guru Team
Build•4 min read
Prompt Engineering: The Key to Effective Generative AI
A prompt is the fundamental building block of generative AI - the context and instructions that guide a model's output. What prompts are and why they matter.
AI Guru Team
Govern•8 min read
The Risk Manager's Playbook: Strategies for Generative AI
Generative AI is a double-edged sword for risk managers. How to capture gains like Klarna's two-thirds of support chats while safeguarding against its risks.
AI Guru Team
Train•7 min read
Transitioning into AI Sales
A career path for sales, marketing, finance, and HR professionals without an engineering degree who want to move into selling AI products and services.
AI Guru Team