Zichuan Xiong

🎧 New Episode Alert! 🎧 This week's episode of Unpacking Organizations features one of the biggest names in Organization Design - Amy Kates! Whether you're an executive, manager, consultant, or simply passionate about Org Design, you won't want to miss Amy (OD royalty 👸🏼) sharing her insights and experiences! #OrgDesign #OD #OPandA

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Revolutionizing UX Testing: How AI's New Interface Interaction is a Game Changer for All Users The new "computer use" feature of Claude 3.5 Sonnet is poised to revolutionize UX testing, and I believe it will be a game changer across demographics and cultures. H ere’s how I envision it being applied effectively: Automated Usability Testing - With Claude, I can simulate user interactions, such as clicking buttons and navigating menus, to identify usability issues. For instance, I could automate the testing of an e-commerce site by simulating a user's journey from product selection to checkout, pinpointing areas where users might struggle. This ensures that the interface works seamlessly for everyone. Performance Evaluation - By replicating user actions under varying loads, Claude can conduct performance testing that I would find invaluable. Imagine simulating high traffic on a banking app to identify bottlenecks during peak usage times—this capability ensures smooth functionality when it matters most. A/B Testing - Claude can automate A/B tests by interacting with different versions of a UI. I could gather data on user preferences and engagement levels, providing insights into which design resonates better across diverse user groups. Accessibility Testing - This AI can also check for compliance with accessibility standards by navigating through applications and identifying elements that may not be accessible to all users. For example, it could evaluate whether all interactive elements are keyboard-navigable, ensuring inclusivity for everyone. Continuous Feedback Loop - As Claude interacts with the interface, it can provide real-time feedback on user experience issues. This allows me to make iterative improvements based on observed behaviors rather than assumptions, leading to a more refined product. I truly believe that these capabilities will enhance the UX testing process significantly, resulting in improved user satisfaction and engagement across various demographics and cultures. This is an exciting time for UX design! #Claude3.5 #AI #UX #ArtificialIntelligence #UX #TESTING #UsabilityTesting #AI+UX #UXDesign #UserExperience #UIDesign #Tech #DesignThinking #Anthropic #MachineLearning #ComputerUse #AIModels #Automation

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Why ‘open’ #AI systems are actually closed, and why this matters "We highlight three main affordances of ‘open’ AI, namely transparency, reusability, and extensibility." https://lnkd.in/gVjHDq4X

Why ‘open’ #AI systems are actually closed, and why this matters "We highlight three main affordances of ‘open’ AI, namely transparency, reusability, and extensibility." https://lnkd.in/gVjHDq4X

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Wanna learn about synthetic data and what Chris Robson and we are cooking up? https://lnkd.in/gauXSiBy TLDR; - alignment and filtering of digital personas in vector space - contextual awareness using pre/defined answers to prior surveys - forget qual+quant - it’s now - synthetic, quant & qual.

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Through dozens of AI implementations and hundreds of conversations about Enterprise AI - these questions are the most critical to answer. And the most common! The 13 top questions about Enterprise AI projects fall into 5 buckets: 1. Strategic Alignment and ROI 2. Risk Management and Governance 3. Data Management and Compliance 4. Technology Integration and Scalability 5. Impact on Customers and Employees While some seem obvious, I have seen many projects fail simply because they didn't align the project to the strategic goals of the company! And what good is AI if the people using it don't trust it? What else did I miss?

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LLMs will become commoditized with the value ultimately coming from the applications built on top of those models

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Very much looking forward to this meetup about "designing with AI" with Victor Petrichenko Pauline F. Carlos Yllobre Nanda Dias Edmund Kim Carolin Böke Come and join us, to listen to the different perspectives, and participate in the discussion. #futureofwork #berlin #design #GenAI #AI #lifeatsap

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Wise words from my colleague JT. AI is quickly becoming a valuable and important part of our daily lives. There will come a time in which we will forget how we operated without it. What's interesting is that the concept or usage of AI isn't new, but it has absolutely exploded in the past couple of years. Is that more people are discovering its capabilities across all industries, or that it's advancing and becoming more applicable? #AI #GenerativeAI #BusinessTransformation

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A really practical guide to LLMs is now available! Learn what to do, what to avoid, from prompting to RAG, to fine-tuning, and evaluation. Definitively worth reading. https://lnkd.in/dCC6uKjs

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HI folks, if you're interested in diving into practical AI use cases at the strategic level , please feel free to join this weekly session hosted by Manoj Daga and I   https://lu.ma/qzjrudzg.

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We live more on a URL than in IRL. We have a duty as a digital citizen. On a recent podcast, Manoj Deshpande Neha Deshpande and I discussed digital civics - the rights and duties of a digital citizen, with a strong focus on good behavior and responsibilities. That discussion was all about extracting good civic behaviors from everyday life like being good to your neighbors, keeping your vicinity clean, showing respect, etc., and drawing a parallel to behavior on the internet. But the nature of the internet itself requires a new framework that looks at all the nuances of chatting and sharing, gaming, phone use, scams, misinformation, etc. To address that, I've extended a new psychological framework loosely based on original work done by Estelle Clements https://lnkd.in/dSx2qUzu

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Vertex AI's grounding feature offers powerful capabilities, but its reliance on localized resources for native language prompts presents a nuanced picture. While boosting accuracy and relevance, it also reveals limitations in data availability and potential biases. Learn more about the advantages and disadvantages of this approach, and how future development can ensure equitable access across all languages: https://lnkd.in/dGAHza4j #VertexAI #AI #NaturalLanguageProcessing #MultilingualAI #DataBias

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Punchy and salient piece by Dr. Shannon Vallor on what it means to be human - and how #AGI is not it. https://lnkd.in/edMYBDzr Defining #ArtificialGeneralIntelligence as outperforming humans at "most economically valuable work" is "a massive erasure of our human capacity and a reduction of ourselves that we should resist. Are you no more than the work you completed today? Are you any less human or less intelligent if you spent your waking hours doing things that do not have well-defined 'solutions,' that are not tasks that can be checked off a list, and that have no market price?" “Maybe the moral and experiential poverty of AI will bring the most vitally human dimensions of our native intelligence back to the center of our attention and foster a cultural reclamation and restoration of their long-depreciated value.” “What if, instead of replacing humane vocations in media, design and the arts with mindless mechanical remixers and regurgitators of culture like ChatGPT, we asked AI developers to help us with the most meaningless tasks in our lives?”

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Is your AI project doomed before it begins? 70-85% of data projects fail. "The AI Playbook" by Eric Siegel might just have the antidote. In my review, I explore: - Why ML projects should be viewed as business initiatives, not tech projects - The bizML framework: A structured approach to ML implementation - The critical importance of data quality in AI success What's your experience with AI project implementation? Share your insights below.

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5 Real Scenario to Prove “When data meets research, innovation begins" https://lnkd.in/geuyPWNM #DataInnovation #ResearchAndData #DataDriven #InnovationStartsWithData #RealScenarios #complereinfosystem

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