AI & Data · 3 min read
GPT‑6.1 Sol puts model routing back on the agenda
The new Sol release raises a practical question: which tasks deserve the strongest model, and which simply need a dependable, economical answer?
29 Sept 2026
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Thinking through data and AI.
Technical notes, practical explanations, and perspectives on the tools changing analytical work.
AI & Data · 3 min read
Claude Sonnet 5.5: the number data teams should measure
Anthropic’s latest Sonnet update makes a useful distinction: cheaper work is not always cheaper tokens. Here is how to evaluate it against actual analytical tasks.
29 Sept 2026
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AI & Data · 3 min read
AMD’s World Labs deal brings spatial AI into the compute conversation
AMD’s proposed $8.2 billion acquisition is a bet on AI that models spaces. For data teams, the interesting question is what those spaces are built from.
29 Sept 2026
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AI & Data · 3 min read
NVIDIA’s agent-safety launch puts boundaries outside the model
The September 28 launch makes a concrete infrastructure argument: an agent’s permissions should be enforced by systems it does not control.
29 Sept 2026
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AI & Data · 3 min read
OpenAI Dots: delegation needs a job description
An always-on agent needs more than a clever prompt. OpenAI’s Dots launch brings ownership, permissions and review into the centre of the workflow.
29 Sept 2026
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Artificial Intelligence · 18 min read
Claude Fable 5 Suspension Explained: Anthropic, Mythos 5, AI Export Controls and Frontier AI Safety
A simple but extensive explanation of the reported Claude Fable 5 suspension, why it matters, how it connects to Anthropic Mythos 5, AI export controls, cybersecurity risk, and the future of frontier AI governance.
23 Jun 2026
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AI Business Intelligence · 7 min read
Agentic AI for Business Intelligence: How Autonomous Analytics Agents Will Change Reporting
Learn how agentic AI is changing business intelligence by turning static dashboards into autonomous analytics workflows that explain, monitor, and recommend decisions.
15 Jun 2026
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Generative AI Analytics · 6 min read
Generative AI Analytics: How Companies Can Turn Raw Data Into Executive Insights
A practical guide to using generative AI in analytics workflows to summarize data, explain trends, and create decision-ready business insights.
15 Jun 2026
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Power BI AI · 6 min read
AI-Powered Power BI Dashboards: The Future of Self-Service Analytics
Explore how AI-powered Power BI dashboards help business users ask better questions, find insights faster, and reduce manual reporting work.
15 Jun 2026
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AI ETL · 6 min read
AI-Powered ETL: Smarter Data Cleaning, Mapping, and Pipeline Monitoring
AI-powered ETL can help analysts clean data, detect quality problems, map fields, document pipelines, and monitor data workflows faster.
15 Jun 2026
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AI Career Skills · 7 min read
AI Analytics Skills Data Analysts Need in 2026
A practical roadmap of AI analytics skills data analysts should learn in 2026, including SQL, Power BI, Python, RAG, governance, and automation.
15 Jun 2026
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AI SEO · 6 min read
Generative Engine Optimization for Data Analysts: SEO in the AI Search Era
Search is changing because users now ask AI tools for answers. Learn GEO, AEO, and AI SEO basics for data analysts and analytics consultants.
15 Jun 2026
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AI Dashboard Automation · 5 min read
AI Dashboard Automation: How to Reduce Manual Reporting Work
Learn how AI dashboard automation can reduce repetitive reporting work, create alerts, summarize performance, and improve business decision speed.
15 Jun 2026
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AI SQL · 6 min read
AI in SQL Analysis: How Natural Language Will Change Database Workflows
AI is changing SQL workflows with query generation, optimization support, documentation, and natural-language database exploration.
15 Jun 2026
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Predictive Analytics · 7 min read
Predictive Analytics With AI: From Historical Dashboards to Forecasting Decisions
Learn how AI-powered predictive analytics helps businesses move from historical reporting to forecasting demand, sales, churn, and operational performance.
15 Jun 2026
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AI Data Governance · 6 min read
AI Data Governance: Why Trusted Data Matters More Than Better Prompts
AI projects fail when the data is messy. Learn why data governance, metric definitions, access control, and quality checks are critical for AI analytics.
15 Jun 2026
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RAG and Analytics · 7 min read
Retrieval-Augmented Generation for Data Analysts: RAG Explained Simply
Understand RAG in simple words and learn how data analysts can use retrieval-augmented generation for internal knowledge, reporting, and analytics assistants.
15 Jun 2026
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