Why traditional statistics still matters in the age of AI
I was interviewed on this topic recently by Dr Genevieve Hayes for her podcast Value Driven Data Science. Here’s the blurb (not written by me): Data scientists today are under pre...
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I was interviewed on this topic recently by Dr Genevieve Hayes for her podcast Value Driven Data Science. Here’s the blurb (not written by me): Data scientists today are under pre...
TL;DR: AI adoption is accelerating fast, with ~1 in 6 people globally using AI tools and 20%+ of firms already implementing AI. The AI market is booming, projected to reach $1.8 tr...
A new study points to an emerging skill set that is becoming more valuable in the AI age: validating AI outputs.
Stuart Gentle Publisher at Onrec 03 Apr 2026|News archive5 Artificial Intelligence Programs for Professionals Selecting the Right Track Across GenAI, Machine Learning, and Data Sc...
Explore the top AI trends for 2026, including generative AI, agentic systems, enterprise adoption, AI governance, retail innovation, and emerging statistics shaping business strate...
Practical tutorials, frameworks, and cautionary insights for researchers navigating this new terrain.
Background: Artificial intelligence (AI) is rapidly transforming clinical practice, yet empirical evidence on Chinese physicians’ acceptance of AI medical tools remains scarce at t...
Biglaw clients put tech under the microscope. The post Stat(s) Of The Week: Eyeing AI appeared first on Above the Law.
TL;DR: AI tools for data analysis help you automate tasks like reporting, data cleaning, pattern detection, and dashboard creation. Popular tools in 2026 include ChatGPT, Power BI...
The marketing science discipline is undergoing a permanent structural transformation. The historical function of the marketing scientist – characterised by the manual construction...
Three weeks ago we modeled vote choice with candidates C = {Left, Right, Other} as a multinomial logit: P[voter i chooses candidate c from C] = exp(f(X_ic)) / sum_c’ exp(f(X_ic’))...
From The Detail: Statistics are a vitally important tool to plan and inform government policy – but when they're wrong or misleading, trust is at risk The post AI and cost efficie...
Survey finds AI widely embedded in research and analysis, but barely touching portfolio construction or trade execution
Most global finance leaders in a new survey report that artificial intelligence is improving decision-making and forecast accuracy in the finance function, and organizations using...
Everyone has access to AI tools. The real gap is knowing how to use them. And the distribution of results is not a bell curve — it is a power law.
Why Crypto Markets Need Causal AI — And Why Statistical Models Keep Failing Them The feedback loops
Artificial intelligence (AI) is revolutionizing environmental science by shifting the paradigm from traditional observation-based research to a dynamic, data-driven predictive disc...
The real challenge in building reliable AI The post From Possible to Probable AI Models appeared first on Towards Data Science.
Tyler Cowen asks a good question about papers in microeconomics and macroeconomics, that generalizes to ecology papers: Imagine adding [a] button, to either micro or macro papers “...
Nearly a quarter of Hong Kong companies are expected to widely adopt AI this year, a threefold increase from a year ago, while a growing number of business leaders believe the tech...
Ethical issues regarding the use of artificial intelligence are “rapidly evolving”, a CFA Institute senior data scientist has warned, as the certification body completed its inaugu...
AI Adoption in Industry Depends on Understanding Human Behavior Until AI accounts for how humans actually think, even the most advanced tools will struggle to gain rea...
How AI architecture prevents plausible but wrong analytics The post Hybrid AI: Combining Deterministic Analytics with LLM Reasoning appeared first on Towards Data Science.
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