Heidi Buelow

Andrea is an excellent researcher, and one of the few who are actively exploring the usecases of AI in user research. On 24th september, my conversation with Andrea would be around Userology’s AI moderated research platform. There would be a complete live demo followed by a Q&A. Do join! #ux #uxresearch

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Want a preview of what I'm going to be talking about in my keynote for RubyConf? You can catch a glimpse of it here!

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The AI-driven enshiftification of design is a greater risk than that to development. The greatest risk is in design shifting from a future looking practice for human-centered innovation to a blunt instrument for achieving predetermined business objectives. https://lnkd.in/gvTUPggr

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AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

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An interesting post from Vijay Rayapati.. about Ai devs

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We think a lot about UX at Durable. With AI-generated code becoming more prevalent, it's more import than ever to ask: what is the optimal UX for specifying software? While chat is the predominant interface to AI, we don't think it's particularly good for defining software requirements. That's why we've build our product from the ground-up around a document interface. In this article I dissect the pros and cons of GenAI interfaces with a focus on AI-generated software, and map out the characteristics of an ideal interface.

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The true value of Generative AI for enterprise tech lies in making it "Agentic AI" for which transformative UX is key. Harrison Chase has done a great blog series on this topic. Collaborative user experience with "human-on-the-loop" would probably ensure the right balance with automation and usefulness. Very helpful framework to think through the choices for given business workflow. #AgenticAI #GenAI #EnterpriseTech

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"At some point, the learning stops and the pain begins." Attributed to S. Rao Kosaraju, inventor of Kosaraju's algorithm for finding strongly connected components in a directed graph. When it comes to coding interview practice, if you are stuck on a problem, banging your head against the wall until you figure it out is not worth it. We recommend timeboxing each problem to, say, 45 - 60min, and then looking at the solution. However, don't jump to the next problem immediately, either. To maximize learning, spend a few minutes reflecting--and writing down--what you missed and what you can do better next time. Over time, these reflections will give you a good idea of your blindspots and what to focus on.

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31 lines of code. That is all it takes with the Canvas SDK to modify the order of medications AND add an annotation to highlight a preferred medication to providers. 31 lines of code and about 2 minutes. Check out this step by step put together by Andrew Duane - https://lnkd.in/gV3YGdEF

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🎉 Celebrating Innovation and Teamwork at the Hanukkahthon! 🕎 This Hanukkah, we lit more than just candles—we lit the sparks of creativity, collaboration, and innovation with our first-ever Hanukkahthon! Nine incredible teams, made up of brilliant minds from across design, product, R&D, marketing, and sales, came together with one shared goal: to develop new and unique accessibility solutions that will make our products and services even more inclusive. Over these amazing days, we saw the true holiday spirit come to life—working together, pushing boundaries, and bringing fresh ideas to the table. Every single team did an outstanding job, and I couldn’t be prouder of what we achieved together. 👏 A huge thank you to everyone who participated, contributed, and made this event a reality. From brainstorming sessions to final presentations, your passion and dedication shone through. 🚀 Congratulations to our 1st, 2nd, and 3rd place teams—you blew us away! But truly, everyone who participated is a winner in my eyes, as you’ve helped us take one more step toward our mission of making the internet a place for everyone. Here’s to more innovation, more collaboration, and more inclusivity! #accessiBe #Hanukkahthon #Innovation #AccessibilityForAll #Teamwork Video Description: The video begins with text that reads “accessiBe is proud to present” as images of accessiBe employees working and talking in the office appear. The text reads “The Hanukkah-thon,” and the letters transform into donuts. Shots of employees collaborating and working quickly and laughing. Text on screen highlights: “9 teams from design, product, R&D, marketing, sales, 12 hours working nonstop.” Further scenes show employees coding, brainstorming, and presenting ideas together. Text reads: “Identifying unique accessibility solutions, improving cross-company collaboration.” The video ends celebrating the winners: the 3rd place team, 2nd place team, and 1st place team. The final text reads: “Web accessibility is accessiBe.”

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Great to see my colleague, Vyas Sekar, sharing his insights on Explainable AI. As AI becomes more embedded in our products, creating transparent and understandable systems is critical for building user trust. Exploring how techniques like LIME, SHAP, and data lineage mapping can help make AI more accessible and comprehensible to users. #ExplainableAI #AI #UserExperience #TrustInAI #DataScience

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I am fascinated by the intersection of AiUX and Information Architecture. Generative AI is already disrupting the way people navigate information systems, and yet it brings new empowering capabilities to the fore as well. I had so much fun in this conversation exploring that contrast, and discussing how interaction, experience, and information design is likely to adapt to this new technology. ↳ How will this change interaction patterns, as users can interact directly with the system through prompts and dialogue? ↳ How will this change our evaluation of UX, as experiences become more adaptive and personalized? ↳ How will we respond to new incentives, as generative summaries and cross references impact traditional search patterns and revenue frameworks? 💬 Take a listen to this podcast and share what questions it raises for you! Thanks for hosting me Jorge Arango!

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Just completed Allie K. Miller's Introduction to AI Agents! Next step: Try to automate something with Gumloop. Check out this free Lightning Lesson on Maven 👇

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Laura Klein’s talk: why a variety of research methods are essential for understanding customers and the market holistically. 💡 Segmenting data and examining diverse metrics allow us to capture the full story of what’s really happening, but, most importantly, there’s no substitute for directly listening to our users to learn about their true needs and behaviors. Insights we can’t find in data alone! She highlights 7 frequent mistakes in product / UXR we’ve likely all seen: ❌ MISTAKE #1: Always doing the same kind of research (commonly prototype testing or A/B testing) ❌ MISTAKE #2: A/B testing absolutely everything ❌ MISTAKE #3: Confusing qualitative and quantitative methodologies ❌ MISTAKE #4: Learning from the wrong people ❌ MISTAKE #5: Looking at aggregate data rather than segmented ❌ MISTAKE #6: Only looking at one metric ❌ MISTAKE #7: Not doing any research at all Each of these can skew our understanding, limit innovation, and ultimately miss the mark on delivering value. 📈 👉 Overall, by combining quantitative analytics with qualitative research, you can gain a full picture, understanding the 'what' + 'why' and make user-driven decisions Lean Product Meetup #ProductManagement #UXResearch #CustomerInsights

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The Stanford Human-Centered AI Report is out. This is the 7th year that Stanford has published this report and it is a must-read if you're trying to keep track of the developments in this field. https://lnkd.in/gwsHtzsq

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On Agent Dev & The Case for The Engineer’s Creative Process Agent development pulls engineers closer to the headspace of artist - and my bet is if engineers embrace and protect their creative processes, we unlock the next level of innovation in this agentic era. In machine learning, the saying goes, "it is more art than science." Building agents is a non-deterministic process that adds significant variance into systems. Engineers would be well-served to hone their creative process. The best engineers will become artists. 1. Building isn’t linear. Building agent infrastructure is far from linear. Engineers often experience a cycle of frustration and eventual breakthroughs. While not perfect, these reasoning systems are now stable enough for integration into our tools and lives. The history of AI, from machine learning to deep learning, has always involved non-linear development. Today's agent infrastructure development is even less linear, requiring engineers to understand complex semantic translations and carefully manage user rollouts to avoid failures. 2. Building with a relationship to the work. With new forms of intelligence come new relationships. Engineers must navigate a relationship to work that involves agent memory and understanding. What is it to build a system that knows you? When people feel understood, they feel loved. What is it to love the systems we’re creating? How does a creative process help? A non-linear process and a relationship to the work are the territories of the artist. Engineers, trained towards control, must embrace uncertainty, risk embarrassment, and accept that their efforts might yield unexpected results. We’re glimpsing a creator's role in a system that understands. While engineers have largely operated in a logical space, they are now called to form a heart connection with the systems they build. A creative process helps artists endure challenges and breathe life into their work. It involves a commitment to creating, discipline, and accepting that one can only control the process, not the outcome. Agent development pulls engineers closer to the mindset of artists. If engineers embrace and protect their creative processes, we can unlock the next level of innovation in society. Read more on this on my Twitter: https://x.com/ashebytes

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🚀 Big things are happening at Freshpaint 🚀 We just raised $30M in series B funding! The healthcare privacy rulebook is evolving faster than ever, and we’re on a mission to help marketers across the entire healthcare industry navigate it while still achieving their goal of successfully reaching consumers. That means… 🔗 More robust full-funnel marketing support 🛠️ Deeper insights to inform better business decisions 🔎 Solutions to help acquire more patients at a lower cost Our CEO wrote more about Freshpaint’s commitment to healthcare. Link in the comments below 👇

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💻 Explore #fusiondevelopment use cases, evaluate their complexity, and harness the power of fusion team collaboration. 💡 Learn to utilize pre-built content and create your own system to manage use cases. Follow our #bestpractices to allocate resources efficiently, support, and provide #governance for innovation and outcome achievement. Get your hands on the Use-Case Guide 👉 https://imsap.co/60465WFnn SAP Build #SAPBuildCode #AI #lowcode #citizendevelopment

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