O3’s Post

A must attend webinar for anyone interested in leveraging AI for more than just chatbots!

🚀 New Presentation Alert: "Generative AI: Unleashing the Power of Artificial Creativity and Delivery" 🚀 Below is a quick introduction to Generative AI models and how they’re transforming business delivery across all phases—from Discovery to UX, Development, and Launch. This presentation offers: - An overview of main Generative AI models (text, image, audio/video) - Key differences between models and their unique strengths - Real-world examples of how AI models can streamline and enhance product delivery Whether you’re looking to speed up product ideation, enhance user experience, or optimize your development cycles, Ebtikar AI can help you bridge that gap and get into Modern development with AI and human power. #RethinkDelivery #GenerativeAI #AI #Innovation #DigitalTransformation #ProductDevelopment #AIModels #LinkedInPresentation

Hey, VD and UI friends! Just as Mobile First brought an explosion of new user interface and interaction patterns, AI products—especially Copilots—are now driving the emergence of new patterns🌟. Emily Campbell's "Shape of AI" is a treasure trove of insights and resources. She explains it much better than I can: "The rise of AI has caused a paradigm shift in how people interact with technology. Our interfaces may evolve, but the foundations of great design are more relevant than ever." Take a look, learn, and, why not, collaborate! 💡 https://www.shapeof.ai/

AI and UX - Unlocking the Power of AI in UX💡 Recently had an enlightening article study session with UXR peers, diving into the intersection of AI and UX. According to a UXtweak survey, over 66% of UXR professionals already integrate AI into their daily research, with plans to continue leveraging its power. While I admit that it is hard to avoid that we have to adapt AI more and more, I want to bring the points that “what we human UXer can do with utilizing AI” without being panicked or worrying about being replaced. 1) Building connections 👋 AIs lack the human touch in networking and socializing, emphasizing the importance of human-to-human connections in UX. 2) Judgment calls 👀 Humans have the unique ability to make nuanced judgments, a skill not yet mastered by AI. Our capacity to analyze information and make informed decisions remains paramount. 3) Connecting the dots 💫 Unlike AI, humans excel at making connections and suggesting insights beyond explicit requests. Leveraging this skill enhances our collaboration with AI tools. 4) Staying tech-savvy 🧐 As AI and technology evolve, so must we. Continuously learning about emerging trends ensures we remain at the forefront of UX innovation. Remember, these insights are born from human experience, not AI algorithms(by myself haha). Do you have any other opinion you want to add?! #UX #AI (+) Thanks for the wonderful UXR article study - UX리서치에 관심있는 사람

🚀 Building Efficient AI Interactions: Best Practices and Techniques In today's fast-paced world, creating seamless and efficient AI interactions is paramount. But how do we ensure these interactions are valuable, quick, and data-efficient? 1️⃣ **Designing for User Experience**: Think about the times you've used a chatbot or a virtual assistant that responded in clear, natural language and provided personalized answers - wasn't that satisfying? ✨ Tailoring interactions to user needs and preferences is essential. 2️⃣ **Optimizing Response Times**: Nobody likes to wait, especially not when interacting with AI. By using pre-defined responses, caching mechanisms, and minimizing API calls, we can drastically cut down response times. Just like how a well-prepped barista reduces your coffee wait! ☕ 3️⃣ **Minimizing Data Usage**: Efficient AI equals smart data use. Implement data caching, employ compression techniques, and use local storage to keep the data exchange light and swift. Remember those instances when your app still worked smoothly with low data? That’s what we’re aiming for! 📉 4️⃣ **Implementing Error Handling**: AI isn’t perfect, but it can be graceful in its shortcomings. By offering clear error messages, fallback responses, and alternative solutions, we ensure that the user experience remains positive even when things go wrong.🤖 5️⃣ **Continuous Improvement**: Just like fine-tuning a recipe, AI interactions benefit from continuous refinement. Analyzing user feedback, monitoring performance metrics, and consistently implementing updates ensure our AI stays effective and relevant. 🔄 At InnoBotZ, we strive to incorporate these best practices to enhance user experiences and create efficient, intelligent interactions. Let’s keep innovating and pushing the boundaries of what's possible in AI! 💡 🤔 How do you ensure your AI interactions remain efficient and user-centric? #ArtificialIntelligence #AI #UserExperience #Innovation #Tech #InnoBotZ #ContinuousImprovement #AIOptimization #UX #DataEfficiency

In navigating the realm of generative AI applications, one of the most intriguing and challenging aspects is their non-deterministic nature. Unlike traditional software where the output is predictable and consistent, generative AI yields unique results for each user, presenting a myriad of possibilities and scenarios. This inherent variability poses distinctive design challenges for application development teams, requiring innovative approaches to ensure a seamless user experience across diverse outputs. As designers, we are tasked with embracing the inherent unpredictability of generative AI and leveraging it to create compelling and engaging experiences. Rather than striving for uniformity, we must embrace the diversity of outputs and design interfaces that accommodate the richness of variation. This involves understanding user expectations and preferences while also anticipating the range of potential outcomes that the AI may generate. One key strategy is to focus on designing flexible frameworks that can adapt to different outputs without sacrificing usability or coherence. By implementing adaptable UI elements and dynamic content structures, we can empower users to navigate through the unique outputs generated by the AI, while still providing intuitive interaction paths and meaningful feedback. Furthermore, incorporating user feedback loops and iterative design processes is essential for refining and improving the user experience over time. By actively soliciting user input and monitoring usage patterns, we can gain insights into how users interact with the application and iteratively optimize the design to better meet their needs and expectations. Ultimately, the goal is to embrace the inherent unpredictability of generative AI and harness it as a creative force for innovation. By embracing diversity and designing for variability, we can create truly immersive and dynamic user experiences that capitalize on the unique capabilities of generative AI to inspire, delight, and empower users in ways never before possible. #generativeAI #designthinking #userexperience

Which design jobs are most at risk as AI/ML advances? How will AI design experimentation change the product design process? Here's a highlight video in which Sönke Rohde of Salesforce explains different facets of AI-powered design experimentation: https://lnkd.in/eSi4bzhd In this video, Sönke Rohde, VP of UX R&D at Salesforce, discusses the potential for AI/ML in hyper-personalization. He emphasizes that human product design skills and AI/ML can be combined to enhance the efficiency of personalized design work. To maintain career trajectory as AI/ML becomes more prevalent, designers should focus on complex, innovative aspects of UX—design strategy and innovation—over execution, iteration, or testing, which can be more efficiently handled by ML. These high-level strategic approaches and skills are the essence of all STRAT events and content. This is one of the STRAT AI Series videos currently being added to our YouTube channel: https://lnkd.in/eN5kedUp At STRAT conferences (https://bit.ly/2sURN6o) we’ve explored the UX of AI through numerous talks focused on designing human-centric AI/ML for two key reasons: 1. To keep our community updated on the rapid evolution of AI/ML capabilities. 2. To empower design leaders to guide their technical colleagues toward more human-centric outcomes during the modeling stage, as it’s too late to make significant changes after modeling, testing, and learning have started. #ux #strategy #conference #ai 

Is your AI working with the right data? In our latest LSA Digital Bits episode, "Designing Assistive AI: Starting with Users and the Right Data," Larry Marine, Director of UX at LSA Digital, explains why building AI should start with understanding user needs—not just leveraging existing data. Key Takeaways: - Avoid relying on existing data; instead, focus on what data is truly needed to support your AI. - Conduct user research to identify how AI can collaborate with users and solve real problems. -Design an AI system that acts as an assistant, helping users achieve their goals. #SAFeSummit #SAFe #scaledagileframework #washingtondc #AI #UXDesign #AssistiveAI #UserExperience #DataDriven #HumanMachineCollaboration #DigitalTransformation

🚀 Excited to share my experience attending the Generative AI Workshop for Designers, led by the incredible Rohan Mishra! 🌟 In this transformative session, we delved into the cutting-edge world of Generative AI and its revolutionary impact on design. Here are a few key takeaways: 🔹 **Innovative Design Processes:** How AI can supercharge our creative workflows, enabling faster and more efficient design iterations. 🔹 **Enhanced Creativity:** Leveraging AI to push the boundaries of our imagination and explore design possibilities we never thought possible. 🔹 **User-Centric Design:** Integrating AI to better understand user behavior and create more intuitive, personalized experiences. 🔹 **Real-World Applications:** Practical insights on how to implement AI tools in our day-to-day projects to enhance productivity and creativity. A huge thank you to Rohan Mishra for sharing his expertise and inspiring us to embrace the future of design. This workshop has truly opened my eyes to the endless possibilities AI offers to us as designers. Looking forward to integrating these insights into my projects and continuing to explore the intersection of design and technology! 🌐✨ #UIUXDesign #GenerativeAI #DesignInnovation #Workshop #RohanMishra #FutureOfDesign #AIinDesign #Creativity #UserExperience #Mastry

🌐 Join Us at the AI & Design Meetup in Regensburg! 🌐 Get ready for three insightful talks on the future of AI, UX and innovation: 👉A new interaction paradigm: From command-based to intent-based with GenAI by Matthias Ferstl New intent-based approaches are transforming our interactions with technology, marking a shift from traditional command-based systems. This talk will explain how Generative AI understands user intent and translates it into meaningful actions, revolutionizing the way we engage with machines. 👉Creating Value with Large Language Models – A structured approach to implementing AI augmentation by Christoph Genster According to market insights, most AI projects do not leave the prototype stage. This talk shares a success story on how to apply Large Language Models effectively to augment business processes with a structured approach to AI innovation. 👉AlphaZero could reason, LLMs can’t. Now what? by Jonathan Pirnay In 2017, AlphaZero mastered chess and Go within hours. In 2024, major LLMs still think ‘strawberry’ has 2 ‘r’s. This talk explores recent research efforts to integrate AlphaZero’s planning into LLMs – and why it’s so frustratingly hard. 📅 Date: Thursday, 21 November 2024 📍 Location: Franz-Mayer-Str. 5, Regensburg 🕒 Time: 18:00 - 21:00 ✔️ Sign up here to reserve your spot: https://lnkd.in/e6cyQKMN #AIDesignMeetup #ai #HumanCenteredDesign #networking