The Staffing Industry Analysts Risk Management & Compliance Workshop explores key contingent workforce program risk mitigation strategies and best practices to update participants on current legal positions for contingent workforce engagement and operations. This interactive workshop welcomes participants from staffing firms, global enterprises, compliance experts, and practicing attorneys, offering extensive coverage and analysis of contingent workforce risk management concerns. Learn more here: https://lnkd.in/dUjDuGih
Open Assembly
商务咨询服务
Boulder，CO 2,732 位关注者
Guiding the digital transformation of talent s.o you can excel in the future of work
关于我们
Welcome to the nerve center of open talent. Where the world’s greatest minds can be accessed at the stroke of a key. The developers, designers, thinkers and even task-masters that you need are here. Not spread out over 732 other websites. Not surrounded by administrative red tape. They are here. And here is where you start your journey into an open future. Here, we make sense of it all. Here, there are no power struggles or waiting games. Just a direct line to getting the work done. With just a couple clicks, the matches are made, contracts drawn up, and before you can send the brief, there are experts in your inbox, ready to get started. The door to open talent is open. Now it’s time to walk through, pull up a chair and bask in the glow of a more efficient and flexible way of running your business. As business leaders and department heads, we all have a choice to make: We can find an employee in 3 months. Or we can hire an expert today. If that sounds simple. That’s because it is. Welcome to speed and agility. Welcome to reliability and security. Welcome to the era of endless potential. Welcome to the official epicenter of open talent. We put the global workforce on a single interface. Now plug in and let’s get to work. Open Assembly. Welcome to the Source.
- 网站
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https://www.open-assembly.com
Open Assembly的外部链接
- 所属行业
- 商务咨询服务
- 规模
- 2-10 人
- 总部
- Boulder，CO
- 类型
- 私人持股
- 创立
- 2017
- 领域
- Future of Work、Consulting、Content、Open Talent、Gig Economy、Freelancing、Outsourcing 、Staffing、Procurement和On-demand Talent
地点
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主要
获取路线
1914 Pearl St
US，CO，Boulder，80302
Open Assembly员工
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Michael Morris
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Emily Klein
Global Strategy | Enterprise Transformation | Change Management | Leadership Development | Talent Acquisition
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San Rahi
Future-focused leader driving global innovation, impactful partnerships, and sustainable growth.
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Brandon Dwight
Director of Marketing + Community at Open Assembly
动态
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In his latest Forbes article, John Winsor explores how AI labs are starting to learn from crowdsourced challenge data on platforms like Wazoku, Codewars/Andela, and Topcoder. It’s an important look at the role of open talent in shaping how machines learn and improve.
Just published a new piece in Forbes exploring how crowdsourced challenge data from platforms like Wazoku, Codewars (part of Andela), and Topcoder is becoming a critical ingredient in training the next generation of AI. Grateful for insights from Simon Hill, Carrol Chang, and Tony Jefts — real innovation still starts with real people. https://lnkd.in/gYzH8pqj
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I've been deeply inspired by new research from my brilliant colleagues and friends Karim Lakhani and Hila Lifshitz-Assaf, alongside Ethan Mollick at Wharton, P&G, and others: The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise. This work gets to the heart of something I’ve been exploring for years—the blurring boundaries between disciplines and the potential for technology to unlock new forms of human creativity and collaboration. What’s so powerful here is not just the scale of impact AI is having, but the shape of that impact. A couple of charts from the study really hit home: Performance Distribution Teams using AI were three times more likely to deliver top 10% solutions. Let that sink in. We’re not just talking about incremental improvement—we’re seeing a fundamental shift in the curve. The whole distribution moves up. Expertise Equalization Perhaps even more profound—individuals (even novices) using AI were able to match or outperform seasoned experts. The old silos between technical and commercial capabilities? Gone. AI is flattening hierarchies and expanding what’s possible for everyone. But it’s not just about outcomes—it’s about experience. Participants reported more excitement, less anxiety, and stronger emotional connection with their work. That matters. A few takeaways that stood out: - Teams with AI were three times more likely to reach top-tier results - Individuals using AI matched team performance at 16% faster speed - Silos between specialties dissolved—more integrated, well-rounded solutions - Emotional boost: higher excitement, lower stress For me, the big idea here is the democratization of expertise. This is about more than automation—it’s about amplification. It’s about empowering people, regardless of where they sit on the org chart, to contribute meaningfully in ways they couldn’t before. ? It’s exciting to see this kind of validation for the themes we’ve been working on for decades: open talent, distributed innovation, and the power of creative collaboration. This isn’t just the future of work—it’s already happening. Here's a link to the paper: https://lnkd.in/g3KiQuw4
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In this episode of 'How I Invest', host sits down with Matthew Fitzpatrick, CEO of Invisible Technologies and former head of McKinsey’s QuantumBlack Labs, to uncover why 92% of AI models fail in production. Matt shares insights into the key challenges enterprises face when integrating AI, emphasizing the importance of data quality, model fine-tuning, and blending AI capabilities with human expertise to successfully scale AI solutions.
?? Ex-McKinsey AI Chief explains why 92% of AI Models Fail in Production (and How to Fix It) ???? In my latest episode of How I Invest, I sit down with Matthew Fitzpatrick, CEO of Invisible, to break down the real challenges facing AI adoption in enterprises. Here's the links to Full Podcast Episode ?? Listen on Spotify -> https://bit.ly/4hBFyAa? Listen on Apple -> https://bit.ly/3DJnlTs? Watch on Youtube ->https://lnkd.in/eQ3CBVrv Highlights?? ??The AI Hype vs. Reality: Why only 8% of AI models make it to production. ?? Billions Invested, Few Successes: What’s holding enterprises back from leveraging AI at scale? ?? The Data Problem: "When good AI meets bad data, the data wins." ?? AI + Human Expertise: Why subject-matter experts are still critical for AI success. ?? What’s Next? AI won’t just replace tasks—it will reshape how entire workflows are designed. We’d like to thank Carta and Daloopa for sponsoring this episode! #VentureCapital #VC #Startups #OpenLP
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I'm really looking forward to this session!
Join us this Thursday for a webinar with #NASA veteran and renowned #FutureOfWork expert Steve Rader. Drawing from decades at the forefront of federal technology adoption, Rader will share insights on how #AI is revolutionizing public service—from streamlining operations to reimagining citizen engagement in ways once thought impossible. Register here: i.wikistrat.com/fowpublic
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"AI agents are redefining work, integrating with freelancers and employees to create a smarter, more efficient workforce for the future." - John Winsor Read more: https://lnkd.in/gB7twTCV
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We could not agree more. Well done, Invisible Technologies.
Tools won't build the future. People will. At Invisible, we’re making AI work. With our AI Process Platform, we’re unlocking new possibilities and helping humans focus on what they do best. What repeatable process would you automate first?
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"You have to have a curiosity to learn and it's the same for the independent professional; if what you think you can do is do what you’ve done last for the last 30 years, you’re grossly mistaken." - Miles Everson, CEO at MBO Partners and Author of Freebirds Revolution on the Transform Work podcast with John Winsor https://lnkd.in/gkytTh2e
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If you are at SXSW, do not miss this. You've been warned. ??
Is AI a utopian dream or a dystopian nightmare? Tomorrow at SXSW 2025, Harvard Business School's Karim Lakhani and Shikhar Ghosh go head-to-head on the dual potential of AI in business and society. Where do you stand? Join the debate at #SXSW2025: https://lnkd.in/gUenFG-d
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The National Bureau of Economic Research working paper "Artificial Intelligence and the Labor Market" by Hampole et al. constructs measures of workers' task exposure to AI and machine learning technologies from 2010 to 2023. The study finds that while occupations highly exposed to AI experience relatively lower demand, the resulting increase in firm productivity leads to overall employment growth across all occupations. https://lnkd.in/dtddTYWH