Panu Kause

RAI = Responsible AI. But what is "rai rai"? All the Finnish speakers know what I'm talking about.😉 For the rest, here's the explanation: "In Finnish culture, rai rai is commonly used to convey the mood of a night out, a festival, or any event where people are letting loose and enjoying themselves without much concern for the consequences. It's often associated with drinking, loud music, and a general sense of letting go of inhibitions." So, it's the polar opposite of being responsible. When you go "rai rai" you want to leave the responsibilities of adult and professional life behind you for a while. Living like there's no tomorrow. Living in the moment.🎸🍺🤘 RAI is a term that will become increasingly common as businesses and consumers get to see the potential of #GenAI in action. Today, you'll most often see it coming from the tech vendors selling AI based services. It reminds me of the "Drink Responsibly" logos found in many alcoholic beverage containers, especially from bigger corporations. It's how they signal their awareness of the possible risks resulting from excessive consumption of their products. Being responsible always sounds good, right? It's hard to argue you should be _less_ responsible in business settings. (Except if you're having a team night in Finland and intentionally go all-in "rai rai".🤪) Having the vendor provide RAI stickers and associated programs hardly solves all issues, though. Just like a sticker won't stop you from getting wasted from excessive alcohol consumption. Responsibility claims aren't a shield that will protect you.🛡️ Yesterday I was reading about how Google released the Pixel 9 phones with a startling "Reimagine" tool. With it, you can add anything to your photos and the results are just stunningly realistic (go check them out). AI magic dust at its finest.🪄 What's the problem? According to The Verge, the tool "helped us add wrecks, disasters, and corpses to our photos." There's an example of adding drug paraphernalia into a normal image of a person at home.💉 That could be your ex partner, for example. How does Google respond to all this? "We have clear policies and Terms of Service on what kinds of content we allow and don’t allow, and build guardrails to prevent abuse." Oh, good. You obviously practice RAI then.😑 In the end, the responsibility always lies with us. The vendors of alchohol, AI and any other potentially addictive/destructive products can't ever stop bad things that may result from their use. It's up to all of us, the users and the society as a whole, to do our part in preventing harm. That's why we need awareness of both sides. The good and the bad of what may come from new innovations as they hit the real world. To me, that is responsible behavior.

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THOUGHTS ON THE AI ACT PT. 1/2 🇪🇺|🚀 It’s become trendy to criticize EU’s AI Act. I almost daily see posts with memes comparing the EU’s infamous fixed bottle caps to SpaceX rockets, humanoid robots, or AI models delaying their EU launches. I get where the criticism comes from, but I believe: 1️⃣ The simplistic “regulation vs. innovation” dichotomy is misleading and hide our bigger underlying issues. 2️⃣ The theoretical argumentation ignore the very real consequences of AI. Here’s a summary of my first point from my recent Impact Loop column (warmly welcome additional views in comments): 👇🏼👇🏼👇🏼👇🏼👇🏼 1️⃣Framing the AI debate as regulation vs. innovation is misleading: 📉That Europe has lost competitiveness in AI is undeniable. The popular explanation is that we’re losing the AI race because we love regulation more than we love innovation. But this framing only hides our deeper tech problems. A recent analysis of the AI value chain shows that the EU lacks leadership in almost all its critical parts. (McKinsey & Company: https://lnkd.in/dS-W3J5y) We have no substantial cloud or supercomputer provider, no critical chip design or manufacturing IP or components company(except our NL lithography wonder child ASML) and the list goes on. Believing that less regulation would solve these underlying technological challenges is naive. We have systematically underinvested for decades in the fundamental research and development that drives today’s AI revolution. While the U.S. invested $67 billion in private AI development last year, Europe only reached $11 billion. For generative AI, the gap is even larger. (Stanford University: https://lnkd.in/dcGWut3v) ⚠️Yes, the AI Act introduces real barriers—it will become harder to innovate in *high-risk* areas and increase the requirements for *foundation models*. With fines roughly 2x those of GDPR, developers of AI systems are demanding less ambiguity. American tech giants are already pausing and delaying their services in response. 👉🏼However, these represent only a very small fraction of all AI systems: the vast majority of our use cases are (and will be) *low-risk* and will NOT be hindered in any way by the new regulations. 🇪🇺Europe may not catch up in foundational AI infrastructure. But we can lead in human-centric AI—not despite our high standards, but because of them. Transparent, accountable, and ethical AI systems are crucial as technology integrates more deeply into society. 👉🏼Rather than lowering our standards, let’s raise our ambitions! 📰Read my column for Impact Loop here: https://lnkd.in/dGvEbQJb

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THOUGHTS ON THE AI ACT PT. 2/2 It’s become trendy to criticize EU’s AI Act. I understand where it comes from, but believe it’s: 1. Diminishing our challenge to a very simplistic dichotomy: regulation vs. innovation. (See pt. 1/2) 2. Not accurately depicting the reality of the effects of AI. I summarize the 2nd point below: ⭐️⭐️⭐️⭐️⭐️ ⚠️Let’s be clear—AI could shape how we think, feel, and relate to one another in ways that far surpasses social media. 🧠Research shows AI can influence people’s opinions 80% more effectively than other humans (EPFL: https://lnkd.in/dSun7F2n). AI also exhibits an illusion of seemless interaction—a perfectly designed echo chamber that can create deeply addictive patterns, where terms like “digital attachment disorder” have become increasingly relevant (MIT Technology Review: https://lnkd.in/dNyXEsU2) The tragedy of 14-year-old Sewell Setzer exemplifies this in a painful way (The New York Times: https://lnkd.in/dqYpY45j?). His fate—a gradually deepening emotional bond with an AI version of Daenerys Targaryen that ended in suicide—highlights the psychological risks. Despite knowing intellectually that the AI bot wasn’t real, he developed a deep emotional bond that ultimately contributed to his tragic end. 📈It’s easy to dismiss emotional bonds with AI as an anomaly, but reality shows otherwise. AI companions have already become part of millions of people’s daily lives. The user statistics for this group are striking: people engage with AI companions 10x more often than most engage with ChatGPT and spend an average of 2h daily on these “relationships”—more time than many invest in real human connections. (Andreessen Horowitz: https://lnkd.in/dKVXJCQY) 🤷🏼‍♂️When even experienced AI engineers from Google mistake AI bots for consciousness (https://lnkd.in/d2Y5vSG7), how are children/teens struggling with identity and belonging supposed to navigate this? 👀Despite the alarming rise in AI-related tragedies—from Sewell’s fate to the rise in deepfake abuse and systemic exclusion—the public debate is not dominated by these, but instead by our concern that the Act oppresses our capacity to compete. 🔎I’m also struck by how noticeably imprecise the criticism of the AI regulation is. Most of the criticism aren’t about specific articles or AI services now being hindered. Instead, they are largely principled: fears about reduced competitiveness and regulatory uncertainty. These fears are valid, but relevant only to a small fraction of AI systems—those that hold larger risks to our health, safety and freedom. For most of us, the regulation could have POSITIVE effects: regulatory certainty, making EU expansion easier, and increasing social acceptance and trust in AI. An unregulated AI landscape could ultimately cost us much more. 👉🏼Rather than lowering our standards, let’s raise our level of ambition!

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Open AI is at risk of imploding There seems to be a mismatch in the values and principles required to build AGI(safety first, honesty ( scarlet Johansson issue)) vs how the leadership is operating right now. Hence, there have been some high profile exits as well. A similar saga played out at Boeing where safety issues led to the depletion of a whopping 46B of shareholder value.. They have asked their outgoing CEO to continue with a 33M pay package. Which seems outlandish but when you compare the loss of shareholder value it doesn't seem much right now if they can fix things. It's not too late tho for open ai tho. They need to strengthen their culture, values and principles that are conscious and aligned for the success of open AI vs any individual. Safety has to be the #1 priority. #openai

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It is the time now for me near to start / attend OYSTER Training at Oulu on 19-Aug. (as next Monday). In GenAI Aided No-Code approaches for generating the websites, apps and visual learning-pictures, I have prepared myself with a list such as Claude Artifacts AI, Llama Coder AI, DeepSeek Coder-V2, WebSim AI and Wegic AI so far. For text content creation, I have another list of GenAI options such as ChatGPT, MS Copilot, Kimi AI, Claude AI, Gemini AI, Perplexity AI, DeepSeek AI and Metaso AI (as a backup if Claude AI not able to work well) ... The preparation is needed for OYSTER training to become a great opportunity if I will learn the eHealth details there via the help of these GenAI virtual teammates either positively or negatively to verify what in those 2 following links - also obviously worth to share here: Link 1 - AI: Overhyped Fantasy Or Truly The Next Industrial Revolution? https://lnkd.in/dzBxAmin AI is built around digital technology and has fundamentally become possible due to the huge increases in available computing power and the widespread digitization of data prompted by the third industrial revolution. Some - like Google CEO Sundar Pichai – believe it may be even more significant – he famously said it will be even more transformational than fire. The AI revolution is only just getting underway, and in the coming years, we’re likely to see it change our world in some pretty amazing ways. --- Link 2 - 10 reasons why AI may be overrated https://lnkd.in/darSERaU 1: The artificial intelligence we have now isn't actually that intelligent. 2: AI lies. 3: Because AI isn't very intelligent and hallucinations make it unreliable, it's proving incapable of doing most — if not all — human jobs. 4: AI's capabilities have been exaggerated. 5: Despite all the media and investor mania about AI over the last few years, AI use remains surprisingly limited. 6: We have yet to find AI's killer app. 7: Productivity growth remains super disappointing. And generative AI may not help it get much better anytime soon. 8: AI may not be improving as fast as many people claim it is. In fact, AI may be running out of juice. 9: AI could be really bad for the environment. 10: AI is overrated because humans are underrated. --- I should not agree or challenge either one and also the combination of both just positively or negatively as a choice of our belief, but better learning from trying via own case-studies in an open mindset - must be determined by the progresses in OYSTER training. It was experienced in APPLAB training at Oulu (arranged by TE Office on labour market) able to enter eHealth sectors in the past from true teamwork with younger local people... Interesting to see if virtue GenAI teammates in OYSTER could work also well or not at this time?! 😉 #learningisfun #GenAI #OYSTERtraining

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60 minutes less processor time used per day, 90% leaner data transfer in the front end, and no need for a database. What? On the verge of the day of the Finnish code (today!) and the recently released American Institute of Biological Sciences State of the Climate Report 2024 (Oxford University Press), I started to think about my journey to more sustainable digital services and green software. How's it been? Seeing the potential for innovation in the digital services sector is exciting. Finnish-based companies are making significant strides in developing business-critical digital services, enhancing their digital capability (in-housing), and aspiring to sustainability in their operations. These firms balance the make-or-buy dilemma in tech and are on a transformative path toward sustainability, whether reaching net zero or the SBTi targets. Some have managed to build new revenue streams out of it. However, there's room for improvement, particularly in digitalization and ICT. Sustainability seems optional; one can consider and address it in some areas but rule out others. This mindset needs to change. Sustainability shouldn't be optional. When considering corporate-level sustainability, double materiality assessment guides focus on prioritized action areas. For example, ICT's greenness is often deprioritized in domains with heavy physical processes. Changing this should be relatively easy. Creating more sustainable and efficient digital services doesn't have to be complex. It often goes hand in hand with cost efficiency, quality, and longevity. When working on efficiency optimizations in critical DevOps and platform teams, our tasks are typically simple, smart, and easy to understand. They are too obvious, and nobody has time to focus on or think about them. But once we do, the results are reassuringly effective. Here are a few simple examples from last months: 🥇 30% less time is spent in the CI/CD build step, resulting in a 60-minute daily decrease in processor use in the environment. 🥈 Data transfer in the front end was reduced by nearly 90% due to libraries, waste code, and excess media. 🥉 Efficient architecture did not need a database and created a light, well-performing service. Happy Finnish code day, folks, and join the movement with us! #greensoftware #greendigitalization #greendigitalservices #trailopeners

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🇺🇸 🏴󠁧󠁢󠁥󠁮󠁧󠁿 Agent AI: A New Approach to Automating Business Processes and Digital Workforce Our Agent AI was initially developed for a Norwegian research institute as a tool to assess crisis situations and provide recommendations to emergency services. However, during the fine-tuning process, we discovered that its potential reaches far beyond that. Agent AI has evolved to interact with other neural networks and create logical, well-structured communication strategies with humans. This capability has led to the creation of “digital employees”: Sales Representatives, Consultants, Agents, and Assistants. Our first working model of Agent AI was launched in December 2023, and today we already have several successful cases in operation. What makes us unique? Integrating our Agent AI into your business doesn’t require a dedicated IT specialist or complex procedures. Within 2-3 weeks of starting our collaboration, you receive a fully operational model that learns on its own. We ensure a smooth transition to automation, requiring only a website and internal guidelines. Our innovative solution, Agent Legacy, uses a game-based approach to simulate real-life scenarios, helping the AI learn how to behave in specific situations. With real-time monitoring and moderation, companies can adjust and further train Agent AI as needed. What about the economic impact? A new secretary in a German company can earn up to €35,000 per year, while making mistakes, speaking limited languages, and taking time to train. Our Agent AI costs only up to €5,000 per year and can handle many of the tasks traditionally performed by such roles, working 24/7, across multiple channels, and in several languages. The main challenge in implementing digital employees within German businesses lies in organizational changes. Companies often try to delve into the technical specifics, losing valuable time. In reality, all that’s needed is a basic IT security audit and providing the necessary information to Agent AI. Agent AI is ready to integrate itself—just provide the access it needs. 😉 Our solution’s quality and reliability are recognized by grants from Microsoft and leading startup investment platforms. If you’re interested in how this technology can benefit your business, let’s discuss it! I’d be happy to arrange an online meeting with our team so you can get all your questions answered. Feel free to request links to our case studies or any additional information you need. Let me know in the comments of this post if you would like to do a test of our Agent Ai.👇🏻 Try it now 👇👇👇 https://lnkd.in/dRHVGf2X

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Meet my digital twin, thanks to Markus Lampinen. Consulting for clients and writing about technology means testing and working with the latest technology to come from an informed position. 📥 Save for later If you don't practice what you preach, then you should not call yourself an expert - your advice will be wrong, and you will be doing your client a disservice, right? My digital twin knows Kieran Gilmurray is a globally recognised authority on AI, automation, and digital transformation. It knows I have authored two influential books and hundreds of articles that have shaped industry perspectives on digital transformation and artificial intelligence. It knows about my expertise which has earned me a wide variety of prestigious accolades, including being named a Top 50 Global Thought Leader and Influencer on Generative AI in 2024, a Best LinkedIn Influencer for AI and Marketing, Top 50 Global Thought Leaders and Influencers on Manufacturing 2024, Top 14 people to follow in data and one of the World's Top 200 Business and Technology Innovators. Digital Kieran knows my extensive corporate background and deep insights into business, which make me a trusted advisor for companies worldwide. When I am not chairing international conferences or delivering masterclasses to industry leaders, I am actively consulting for leading global businesses, driving digital transformation and innovation. How? Because I feed it those data points, my books and a lot of my articles. Now, I need more monitoring, statistical analysis, and review to hone my digital twin's answers. Digital Twin: https://lnkd.in/eya_mYkH Please have a play with #DigitalMe, and let me know what you think! 👇 If you want to talk to the real me, then pop me a message on LinkedIn. #AI #AIContent #ArtificialIntelligence #GenerativeAI #Automation #KieranGilmurray #GenAI #Business #Innovation #DigitalTwin

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⚒️ Explore Dig_IT Use Cases! ⚒️ 🇫🇮 In our last episode, we introduce you to the Kemi mine, a mine located in the Finnish Lapland owned by Tapojarvi. This use case focuses on enhancing predictive maintenance and improving #airquality in the mining environment. 🚛 Tampere University developed solutions for #predictivemaintenance to optimize the performance of trucks and mining assets, ensuring better efficiency and operational safety. 🌬️ Nemko Norlab developed air quality sensors, while CORE Innovation Centre developed #machinelearning models and algorithms to predict air quality conditions, all contributing to the #smartgarment system that monitors and protects the health of mine workers. 📽 Directed by wearecolab, Ro Technology and Blue Ocean. https://lnkd.in/dxPChQZN

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This is the second of eight voluntary AI Ethics Principles from CSIRO's Data61 and Department of Industry, Science and Resources, designed to guide businesses and governments to responsibly design, develop and implement AI. Every day, we showcase one of the eight AI Ethics Principles. Calabash Solutions. Working with organisations to Start. With Privacy. #privacy #privacymatters #aiethics

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Does AI (and AI dev) threaten the open web? Mathias Biilmann Christensen, CEO & Co-Founder of Netlify, makes a strong case why that threat is real, and why it’s important to defend it. It was a pleasure hosting Matt on The AI Native Dev podcast, going deep on many topics, such as: - AI agents have become a new type of Netlify user - how do you adapt to that? - How AI use of a non-AI dev tool (Codemod) boosted their productivity the most - The connecting lines between AI music generation and AI dev New tech paradigms are easier to grasp in closed, opinionated environments, controlled by one entity, than in an open and composable ecosystem. AI is clearly following that path, but where is it leading? Are we ok with all AI dev capabilities coming from our one vendor of choice, or insist on being able to assemble it from best of breed? These are just a few bits of a great episode. Matt’s authenticity and clear passion for AI and the open web meld perfectly with his deep insights, so much that the episode is a bit longer than planned - I just couldn’t stop the conversation! #Netlify #AIWeb #AINativeWeb #AINativeDev #MattBiilmann

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2024 confirmed what we believed: AI transforms work when you focus on practical implementation rather than just the technology itself ✨ When Finland's organizations embraced Copilot this year, success came from putting humans at the center of transformation 🧑🏾 👱 👱🏻‍♂️ Two posts that captured our community's energy ⬇️ 1️⃣ "One could argue that us Finns are interested in AI" - When up to 2,900 people joined our AI Summit Finland, proving Finnish organizations are ready to lead in AI adoption https://lnkd.in/g8zVxTR8 2️⃣ "Yesterday we came together with 650 customers" - Sharing how KONE, OP Financial Group, Kela, and Sanoma are implementing AI to transform their operations https://lnkd.in/g6utrGdk Between leading AI implementations and responding to emergency calls during my free-time (I am an active contract firefighter outside my work at Microsoft 🚒 🧑‍🚒), I've learned that technology's impact comes from how it helps people. Whether it's Copilot making work more meaningful or thermal imaging cameras 📷 helping save lives at fires🔥, tools matter most when they serve human needs. Looking to 2025: With Copilot's growing adoption across organizations of all sizes, we're focused on helping every Finnish organization harness AI's potential while keeping humans at the center of transformation ✨ To everyone working to make AI accessible and impactful - thank you for showing that innovation works best when we move forward together 🤝 🙌 #2024LinkedInRewind Luba Manolova Hrvoje Klapan Kit Ingwersen Nina Rapp Bernd Zimmermann Antonio Cruz Cruz-Conde Dag Nyrud Manuel Moura Declan Faller An Tips

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Many economists are worried about the decreasing working hours per capita, especially in certain western countries. Futurists, on the other hand, see many natural underlying reasons and mechanisms for this to be happening. I asked this question from our AI Futurist, and you can see it's response on the screenshot video: "Which factors are likely to affect the amount of hours worked by individuals, as we move ahead into the 2030s?" What do you think? Is this a natural/logical development in modern societies, or should we hurry back to working our backsides off even more than we do now? What is AI Futurist? Read here: https://lnkd.in/dHF5ZYR5 #future #foresight #strategicforesight #scenarioplanning #work #income #economy #aifuturist

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Data Innovation Summit Dairdux key learnings and my own "Chairman's reflections". I had a chance to have a conversation with Carl-Henrik Svanberg before and after his future oulook session. Brillantly moderated by Kye Andersson And then working together with Cassie Kozyrkov to plan our AI After Work (AIAW) Podcast on the main stage. With two days spotlighting the needed Data and AI techniques. In the end what stuck with me. Was all other things that needs to catch up for real enterprise and societal adoption at scale. Inventions and techniques without wide scale adoption leads nowhere. Svanberg shared how the Ericsson executive team already early 2000 was painting today's picture. But not until inventions of many facets caught up.. And we as society was ready...did we see it.. The same for internet and e-commerce today vs 1995. Cassie summarised all the other things as the "Safety Net". Focus on building the safety net not the AI- techniques if you want to do enterprise scale AI. Then from here we get a whole different conversation on what capabillities, talents and skills we need in public and private sector. I think THIS is at the core of making Sweden world class in using AI. All the other things that make up our Sociotechnical systems end to end. This part is right now very unclear. One reason since it is left to people in leadership positions knowing too little about data and AI.. So we need the community with deep Data and AI skills to care more and bridge into the socio parts. Co-creation... Mikael Klingvall at Dairdux who co-wrote my opening key notes together with me comes from the Data Scientist and Data work angle to similar perspectives. See below for his angle... #dair2share

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Which External Factors Impact Your Business?   I recently had an enlightening discussion with Sune Karlsson, a professor of statistics at Örebro University and a renowned author on variable selection. Here are some key insights:   🔍 Challenges of Simple Correlation: Many businesses initially rely on simple correlation for forecasting. This method examines one variable at a time in a linear fashion, missing out on complex interactions and potentially leading to inaccurate predictions.   ⚙️ Advanced Methodologies: Advanced variable selection techniques evaluate multiple variables simultaneously, capturing their interactions and providing a more accurate and comprehensive forecast.   📊 Practical Implications: For effective forecasting, it’s crucial to understand the interactions and combined effects of different variables rather than analyzing them in isolation. This approach leads to better-informed business decisions.   🌐 Holistic Approach: By considering the interplay of variables, businesses can achieve more reliable predictive performance, enhancing their strategic planning and operational efficiency.   Thank you, Sune, for sharing your expertise and highlighting the importance of advanced forecasting techniques!   #Forecasting #DataScience #VariableSelection #Statistics #SaaS #BusinessIntelligence #PredictiveAnalytics

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Are those chopsticks in your pocket? Or are you just happy to see me? Meet Norihiko Saito, he invented the Apple iPod Input Device Click Wheel. You gen-zers might not know what that is. We had a fun call this morning. I struggled to get AI tools to translate properly for me and we definitely need to get on the ball with that. He's invented a real 3D input device to repaint the world around us with AR Glasses. Today, both personal computers and smartphones are only two-dimensional computers. The next major change is about to take place by his 3D input device. We need people with good hearts to help his vision come to life. He's a gold medal winner just like the friends I've been posting lately. Some of not-so-good BIG TECH moves: 2015 September 9: Saito Inventive Corp. VS Apple Japan IP lawsuit remanded by the Supreme Court of Japan, Norihiko Saito wins 🥇 2023 November 1: Apple's petition for invalidation of the Click Wheel patent is rejected by the Supreme Court of Japan, Norihiko Saito wins 🥇 2023 November 1: Apple Japan's petition for invalidation of the Click Wheel patent is rejected by the Supreme Court of Japan, Norihiko Saito wins 🥇 2024 March 26: Saito Inventive Corp. VS Apple Intellectual Property Lawsuit, Norihiko Saito wins 🥇 at the Intellectual Property High Court of Japan In the above,  Norihiko Saito has confirmed a complete victory due to the abandonment of Apple's appeal regarding the click wheel in this case. I recorded our conversation on Youtube and will share in the link in the comments. It's in Japanese but his enthusiasm for the AR Glasses and his device shines right through. Please reach out to him if you would like to chat with him. He has shared his decks with me and they are handstand worthy! Don't forget your friends. #ARGlasses #VR #Robotics #QuantumComputing

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Is it feasible that domain experts may be able to harness the power of AI to build sophisticated applications tailored to their specific needs, without writing a single line of code? It is so simple or as a little brave goal why my planning to apply for those 2 trainings at Oulu - in order to explore and learn: 1. The Training of Design Thinking Hackathon (Already applied and wish to join its Munkamu case study) https://lnkd.in/dExmpKzJ 2. The Training of OYSTER Incubator (The deadline for the applications is June 7th) https://lnkd.in/dP-nAsu4 However, it could be too ideal now and too early to expect if according to such a following link: A no-code approach to building MVPs https://lnkd.in/d3UZ29Q8 No-code platforms are enabling fully functional applications to be built without writing a single line of code. This is especially valuable for startups and product managers looking to rapidly build and launch minimum viable products (MVPs) by leveraging visual interfaces, pre-built components, and drag-and-drop functionality to prototype ideas, validate assumptions and get to market faster.  Steps to build your no-code MVP: Step 1: crystallize your MVP vision • What pain points am I addressing? • What are the core functionalities my users need? • What can I save for future iterations? Step 2: finding your no-code match • Learning curve and user-friendliness • Available templates and pre-built components • Integration capabilities with other tools • Scalability and customization options Step 3: prioritize user experience • Use wireframing tools to visualize user flows • Leverage pre-designed UI components for consistency • Conduct user testing and gather feedback early on Step 4: harnessing the power of data • Leverage the built-in analytics tools offered by your no-code platform • Define and track key metrics like user acquisition, engagement, and retention Step 5: embrace the launch and learn mindset • Share your MVP with your target users and actively seek their input • Use feedback to prioritize features and improvements • Continuously iterate and refine your product features based on data and user insights The future of no-code: The future of product development is no-code, and the possibilities are endless. --- I wish to explore GenAI Aided Anything (but not relevant yet to coding or no-code) in the Training of Design Thinking Hackathon. The Training of OYSTER Incubator is not sure yet for me able applied on time and accepted there ... also actual time as 2H 2024 - meaning a lot of time ahead to "no-code". Able building a MVP of personal App same faster and easier as an industrial clock-speed as creating a GPT nowadays? So, will it be as the right time of doing right thing - to bring ideas to life via MVP without extensive coding knowledge or even no coding work for its creation? How to prepare, plan, progress ... till we can rightly achieve it? 😉 CONTINUE IN COMMENT #learningisfun #GenAI #NoCode

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