Tech Leadership Lab的封面图片
Tech Leadership Lab

Tech Leadership Lab

智库

一个致力于及时解决可持续发展目标的全球生态系统和行动导向型智库,同时我们作为优秀的祖先行动

关于我们

Tech Leadership Lab 是一个以行动为导向的智库,专注于有效解决所有17个可持续发展目标(SDGs)。这是一个全球性运动,是强大的生态系统构建者和催化剂,不受地域、年龄、种族、性别和性取向的限制。我们的目标是团结富有远见和善心的科技领袖及其周围的支持者,解决地球上最严峻的问题,为所有人建设一个更美好的未来。 五大核心价值:目标 – 精英制 – 公平 – 同理心 – 行动 我们使不可能成为可能,并致力于放大影响力。 “永远不要怀疑,一小群有思想、坚韧不拔的人可以改变世界。事实上,这是唯一改变世界的方法。”——玛格丽特·米德 让我们更早实现可持续发展目标!

网站
https://techleadershiplab.org/
所属行业
智库
规模
11-50 人
总部
Delaware
类型
合营企业
创立
2023
领域
Community、Tech Leadership、Startups、Leadership和Tech Leaders

地点

Tech Leadership Lab员工

动态

  • 查看Tech Leadership Lab的组织主页

    2,116 位关注者

    6 Grant Opportunities for Nonprofits around the SDGs. Deadlines are approaching but still time. Check them out! The Nonprofit Hive #Grants #nonprofits #opportunities

    查看BetterWorld Partners的组织主页

    259 位关注者

    ?Minnesota Nonprofits – 6 Grant Opportunities You Can’t Miss! Attention Minnesota nonprofits: There are?six new grant opportunities?with upcoming deadlines, and your organization could be eligible! Grant funding is competitive, but a strong proposal can make all the difference.?If you need expert grant writing support,?BetterWorld Partners?is here to help. With years of experience securing funding for nonprofits, we know what it takes to craft applications that get results. ?Find all the grant details in our Linktree (https://lnkd.in/gXRJRe2b) ?Deadlines are approaching fast—let’s get started today!?Message us to discuss how we can position your nonprofit for success. #MinnesotaNonprofits #GrantFunding #NonprofitGrowth #GrantWriting #BetterWorldPartners #FundraisingStrategies

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  • Tech Leadership Lab转发了

    查看Evolving AI的组织主页

    44,903 位关注者

    ?? China just did a move we all can agree on! China just introduced new guidelines requiring labels on all AI-generated content posted online. Starting September 1, AI-generated texts, images, audio, and videos must have clear labels to prevent misinformation and misuse. These labels must be visible to users, with additional hidden labels embedded in the content's metadata. The move comes after multiple cases where AI-created content misled the public, including deepfakes of celebrities and false news stories causing panic. Want to keep up with AI? ?? Follow Evolving AI to stay ahead of your competition (trusted by +2 million followers online) ?? Join 50,000+ newsletter readers and stay updated on the latest AI insights: https://lnkd.in/em9B--mb

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  • Tech Leadership Lab转发了

    查看Cristina Imre的档案

    Fractional Leader | Global Strategy & AI | Business & Innovation Leadership | Remote & Hybrid Growth | Navigating Geopolitics & Change

    ?? How to 10x Your Content Using AI – Podcast Edition! There's truly no limit to how AI can amplify your productivity and creativity. Today, let me share an incredibly useful AI-driven strategy I've discovered that transforms a single podcast into an abundance of valuable content across multiple platforms. Imagine you've just listened to an extraordinary 2-hour podcast packed with so much information your head is spinning. You could simply summarize it with GoogleLM or chat with the content interactively. But let's elevate this! Here’s Your Step-by-Step AI Power Move: 1?? Extract the transcript from your favorite insightful YouTube podcast. 2?? Prompt your AI with something like this: "Take this podcast transcript and: ?? Create a comprehensive, engaging 1200-word blog post. [If you want give more context and choose the topic you want.] ?? Generate a series of tailored social posts for LinkedIn, Instagram, and Facebook. ??Conceive a captivating 1-minute short-form video script, starting with an intriguing hook around a valuable point that people would benefit from. ??Design a reusable template for each task to streamline this process for future podcasts." 3?? Archive the generated content templates to effortlessly replicate this success with each podcast episode moving forward. ? Why This Works: ?? Instantly transforms dense podcast content into digestible, high-impact assets. ?? Optimizes your effort, multiplying content output with minimal time investment. ?? Creates cohesive messaging across platforms, boosting engagement and visibility. Try this today and your content workflow will never be the same! Remember: creating content matters. Share your experiences or ideas below! ??? #AIprompting #AIhacks #Informative

    • AI podcast Hack - Prompts
  • Tech Leadership Lab转发了

    查看Cristina Imre的档案

    Fractional Leader | Global Strategy & AI | Business & Innovation Leadership | Remote & Hybrid Growth | Navigating Geopolitics & Change

    ?????????? ??: ????????????'?? ????????-???????????????? ???? ??????????! Google DeepMind recently unveiled Gemma 3, a breakthrough AI that's compact yet powerful enough to run on everyday hardware, even something as modest as a Jetson Nano or a standard GPU. Why Gemma 3 Matters: ??True Multimodality: Processes text, images, and even short videos seamlessly. ??Ultra-Long Context (128K tokens): Handles extensive inputs efficiently, revolutionizing context-aware AI applications. ??Quantization & Efficiency: Runs smoothly on affordable hardware thanks to optimized quantized models. ?? Impressive Performance: Despite its size (up to 27B parameters), Gemma 3 outperforms larger models in human-rated tests, especially in complex tasks. Imagine transforming your AI applications, content creation, or business intelligence tasks with Gemma 3’s remarkable capabilities. It's fascinating to witness how the new tech shifts our world almost daily. ?????????? ???????? ???? ???????????????? ?????????? ??:??-???????????????? ???? ??????????! ?? Experiment with multimodal inputs for innovative user experiences. ?? Utilize quantized versions to deploy powerful AI affordably. ?? Explore its extensive language support (140+ languages) for global reach. What do you think? #AI #Gemma3 #Innovation

    • About the new Gemma 3
  • Tech Leadership Lab转发了

    查看Andreas Horn的档案

    Head of AIOps @ IBM || Speaker | Lecturer | Advisor

    ???????? ???????????? ?????????? ?????????????????????????? ???? — ????????’?? ???????? ???? ???????????? ?????????? ????????! ?? Everyone talks about AI, but AI is not just "one thing" (and also not just ChatGPT)! Artificial Intelligence is often misunderstood as a single technology, but in reality, it is a hierarchy of methods and approaches, each layer enabling more advanced capabilities. This distinction is crucial for understanding where AI is today — and where it is headed. ??????'?? ?????????? ???? ???????? (?????? ??????????????): ?? 1??????????????????????? ???????????????????????? (????)?– The broadest category, covering automation, reasoning, and decision-making. Early AI was rule-based, but today, it’s mainly data-driven. 2????????????????? ???????????????? (????)?– AI that learns patterns from data without explicit programming. Includes decision trees, clustering, and regression models. 3??????????????? ???????????????? (????)?– A subset of ML, inspired by the human brain, designed for pattern recognition and feature extraction. 4??????????? ???????????????? (????)?– Multi-layered neural networks that drives a lot of modern AI advancements, for example enabling image recognition, speech processing, and more. 5????????????????????????????– A revolutionary deep learning architecture introduced by Google in 2017 that allows models to understand and generate language efficiently. 6??????????????????????? ???? (??????????)?– AI that doesn’t just analyze data—it creates. From text and images to music and code, this layer powers today’s most advanced AI models. 7??????????????????????? ??????-?????????????? ???????????????????????? (??????)?– A specific subset of Generative AI that uses transformers for text generation. 8????????????? ???????????????? ???????????? (??????)?– Massive AI models trained on extensive datasets to understand and generate human-like language. 9?????????-4?– One of the most advanced LLMs, built on transformer architecture, trained on vast datasets to generate human-like responses. ??????????????????– A specific application of GPT-4, optimized for conversational AI and interactive use. In my view, it's absolutely fascinating to see how AI has evolved from simple rule-based systems to deep learning architectures capable of generating human-like language and creativity. Over to you! Where do you see AI heading next?

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  • Tech Leadership Lab转发了

    AI 2025: The New Roles, Skills, and Opportunities The AI transformation is reshaping our professional landscape at unprecedented speed. With global AI hiring up 300% over the past 8 years, we're witnessing not just change, but opportunity. While 85 million jobs may shift, 97 million new roles are emerging in this dynamic ecosystem. In 2025, the question isn't whether AI will impact your career but how you'll capitalize on its potential. Key Insights: 97 million new AI-adapted roles are emerging globally (World Economic Forum Future of Jobs Report) "Head of AI" positions have tripled in the past 5 years; up 50% in just the last 2 years AI Engineers rank among the fastest-growing jobs in 15 countries, #1 in the Netherlands, UK, and US 17 out of every 1,000 LinkedIn members are considered "AI talent" (holding AI roles or AI skills) Professional Services, Financial Services, and Manufacturing lead in AI talent demand across major economies 10% of professionals globally (20% in the US) are now hired for roles that didn't exist in 2000 Best Practices for AI Success: ?? Master both technical and human skills—professionals combining both are promoted 13% faster ?? Engage with AI literacy—non-technical professionals taking AI courses increased by 169% in just one year ?? Embrace skills-based approaches—expands talent pools by 6.1× globally (15.9× in the US) ?? Focus on continuous learning—professionals are adding new skills at 140% the previous rate since 2022 ?? Develop these top in-demand skills: analytical thinking, active learning, complex problem-solving, creativity ? For leaders: 76% of businesses using generative AI report significant time savings for employees ? For marketers: AI campaign creation shows up to 42% lower cost-per-action on LinkedIn Ads ? For recruiters: AI tools deliver 11% faster candidate acceptance and 44% higher overall acceptance rates Growth & Opportunity Data: ?? 51% of businesses using generative AI for 2+ years report 10%+ revenue increases ?? Financial Services saw a 40× jump in AI-skilled talent since 2016 ?? Every major US industry saw at least a 14× increase in AI-skilled professionals since 2016 ?? Gen Z professionals show the most optimism, with 52% believing AI will advance their careers Save this post and share it with colleagues who would benefit from these insights, especially those looking to upskill or transition into high-growth AI roles. *Data sourced from World Economic Forum Future of Jobs Report 2025, McKinsey's State of AI, LinkedIn's Future of Work Report (2023), and Work Change Report (2025). Data is objective; interpretations are subjective. #AI2025 #FutureOfWork #AIOpportunities #CareerGrowth #LInkedIn

    • AI2025: The new roles, skills, and opportunities infographic
  • 查看Tech Leadership Lab的组织主页

    2,116 位关注者

    AI Isn’t Just for Tech Giants. Here’s Why: According to AI 2025: The New Roles, Skills, and Opportunities, sectors like healthcare, finance, and education are set to benefit from AI’s rapid evolution. Think AI-assisted diagnostics, personalized investment strategies, or adaptive learning platforms. This wave of innovation isn’t limited to Silicon Valley. It’s spreading globally, opening doors for startups, freelancers, and traditional businesses alike. Key Insight: AI’s not a niche. It’s a universal tool that can enhance processes, uncover insights, and help us solve big societal challenges. #AI2025 #BusinessInnovation #HealthcareAI #Fintech #EdTech

  • AI 2025: The New Roles, Skills, and Opportunities The AI transformation is reshaping our professional landscape at unprecedented speed. With global AI hiring up 300% over the past 8 years, we're witnessing not just change, but opportunity. While 85 million jobs may shift, 97 million new roles are emerging in this dynamic ecosystem. In 2025, the question isn't whether AI will impact your career but how you'll capitalize on its potential. Key Insights: 97 million new AI-adapted roles are emerging globally (World Economic Forum Future of Jobs Report) "Head of AI" positions have tripled in the past 5 years; up 50% in just the last 2 years AI Engineers rank among the fastest-growing jobs in 15 countries, #1 in the Netherlands, UK, and US 17 out of every 1,000 LinkedIn members are considered "AI talent" (holding AI roles or AI skills) Professional Services, Financial Services, and Manufacturing lead in AI talent demand across major economies 10% of professionals globally (20% in the US) are now hired for roles that didn't exist in 2000 Best Practices for AI Success: ?? Master both technical and human skills—professionals combining both are promoted 13% faster ?? Engage with AI literacy—non-technical professionals taking AI courses increased by 169% in just one year ?? Embrace skills-based approaches—expands talent pools by 6.1× globally (15.9× in the US) ?? Focus on continuous learning—professionals are adding new skills at 140% the previous rate since 2022 ?? Develop these top in-demand skills: analytical thinking, active learning, complex problem-solving, creativity ? For leaders: 76% of businesses using generative AI report significant time savings for employees ? For marketers: AI campaign creation shows up to 42% lower cost-per-action on LinkedIn Ads ? For recruiters: AI tools deliver 11% faster candidate acceptance and 44% higher overall acceptance rates Growth & Opportunity Data: ?? 51% of businesses using generative AI for 2+ years report 10%+ revenue increases ?? Financial Services saw a 40× jump in AI-skilled talent since 2016 ?? Every major US industry saw at least a 14× increase in AI-skilled professionals since 2016 ?? Gen Z professionals show the most optimism, with 52% believing AI will advance their careers Save this post and share it with colleagues who would benefit from these insights, especially those looking to upskill or transition into high-growth AI roles. *Data sourced from World Economic Forum Future of Jobs Report 2025, McKinsey's State of AI, LinkedIn's Future of Work Report (2023), and Work Change Report (2025). Data is objective; interpretations are subjective. #AI2025 #FutureOfWork #AIOpportunities #CareerGrowth #LInkedIn

    • AI2025: The new roles, skills, and opportunities infographic
  • Tech Leadership Lab转发了

    查看Cristina Imre的档案

    Fractional Leader | Global Strategy & AI | Business & Innovation Leadership | Remote & Hybrid Growth | Navigating Geopolitics & Change

    Will AI replace entire professions or just the routine tasks we dread? New data from the latest WEF Future of Jobs Report 2025, McKinsey’s State of AI, and the AI Work-Change Report shows: 1?? Repetitive Admin & Basic Content tasks are prime for AI automation. 2?? AI-literate talent is emerging across all industries, not just tech. 3?? Skills, not job titles, matter most: People blending AI proficiency + human skills are in highest demand. 4?? 51% of companies using AI for 2+ years report ≥10% revenue gains (time saved → innovation). Curious about which tasks might vanish and which new roles might appear? I’ve put together a helpful article exploring what AI will replace in 2025 and how to thrive in this evolving landscape. Read the full article below, it's not that long. :) ?? Repost to help your network stay AI-ready. #LinkedInLinkedIn #AI #FutureOfJobs

  • NEW #grants to young #climate innovators (18-24) anywhere in the world!

    查看Alexis Ohanian Sr.的档案
    Alexis Ohanian Sr. Alexis Ohanian Sr.是领英影响力人物

    Founder at 7??7??6??

    My personal foundation, 776 Foundation, is *BACK* for its 4th cohort ?? I'm giving away another $2M in up to $100,000 grants to 20 young people with BIG ideas who'll build over the next two years to fight climate change. Apply at?776.org?for the opportunity to save the planet with us!

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