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November: Best of the Web

Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include an article from HBR on the impact of GenAI on the labor market, a guide on scaling AI ethics and governance, and VentureBeat's 2025 top AI trends. Follow us on Twitter and LinkedIn to receive daily updates on IIA content and curated content as it becomes available.

Featured Articles on Talent and Culture

Research: How Gen AI Is Already Impacting the Labor Market (Harvard Business Review)

Many have wondered about, and feared, the impact that gen AI will have on labor markets. Some compare it to past innovations, like robots, whose effects have been relatively modest, while others have forecasted that its impacts will be more long-ranging, given gen AI’s fundamental ability to improve itself over time. New research analyzed over a million job posts for online gig workers to see what affect the introduction of tools like ChatGPT and image-generating AI have already had on the quantity of posts, job requirements, and pay of online workers — and which fields and professions have been the most impacted. The researchers offer insight into the challenges and potential opportunities of these shifting markets.

Successful AI Ethics & Governance at Scale: Bridging The Organizational and Implementation Gaps (Towards Data Science)

"The road from ethics to executives winds through lawyers and LLMs." This article explores the challenges and solutions in scaling AI ethics and governance within organizations. It highlights two critical gaps: organizational misalignment, caused by siloed departments and uneven technical understanding, and the implementation gap, where pressure to adopt AI often overshadows ethical considerations.

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Featured Articles on Analytics and AI Strategy

How AI Changes Partner Collaboration (MIT Sloan Review)

Explore this article from Tom Davenport and Margherita Pagani on six steps for using AI with external partners in new ways to drive product and business model innovations.

Getting started with AI agents (part 1): Capturing processes, roles and connections (VentureBeat)

This series explores building agentic AI systems and outlines designing agents as a directed acyclic graph (DAG) and compares two main architectures—centralized blackboard and distributed AAOSA.

AI Trends for enterprises to monitor in 2025 (VentureBeat)

This collection of articles covers everything from the future of agentic AI to a case study on NY-Presbyterian's success in slowing its AI implementation.

What Did I Learn from Building LLM Applications in 2024? — Part 1 (Towards Data Science)

Follow this short series from Satwiki De, Software Engineer at Microsoft, on their journey building LLM-native applications.