Design of AI

#Healthcare is crucial. Yet healthcare systems in North America are falling behind. That’s why healthcare is constantly highlighted as the industry that will most benefit from #AI. What can other industries learn from healthcare’s past and future implementations of AI? Episode links in the comments This is episode 23 and we’re exploring the challenges of implementing AI in complex industries: ➤ The successes and failures of AI in healthcare ➤ Adopting AI is very difficult & requires incentives ➤ Risk of AI inundating users with too much information ➤ Risk of undervaluing the importance of relationships ➤ Lessons for teams designing AI products in other industries Spencer Dorn, MD, MPH, MHA is Vice Chair and Professor of Medicine at the University of North Carolina. Drawing on his experiences as a practicing gastroenterologist, physician leader, clinical administrator, informatics physician, and academic, Spencer is particularly interested in how digital technologies are reshaping healthcare. He is a contributor to Forbes and one of LinkedIn’s Top Voices speaking on Healthcare + Innovation. -------------- To get more AI strategy and career resources, subscribe to the Design of AI Substack ----------- This episode was hosted by: Arpy Dragffy-Guerrero (Founder & Head of product strategy, PH1 Research)  & Brittany Hobbs (VP Insights, Huge) 

AI is rewriting the way many designers & product teams operate. There's not much you can learn from and model after. Everyone is scrambling to find out what role AI will play yet. Everyone is figuring it out as we go. Episode 10 was a raw and insight-packed case study of Alexandra Holness's work designing Klaviyo's #AI products #Question: What resources have you found helpful? Episode link in the comments

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Imagine that within a few years anyone will be able to create misinformation videos of this quality. We're genuinely entering a period where we'll assume everything is fake. It will really escalate the tribalism that's grown. Ironically the winner in all this will be the super intelligences that we'll assume are more trustworthy than the local experts.

After our recent episodes about how AI will change design, we thought it was time to hear about how AI is changing business. Our guest is Lisa Weaver-Lambert, the author of The AI Value Playbook: How to make AI work in the real world. She interviewed the leaders of 35 businesses who were early adopters of AI to define where it delivers the most value and how they’ve had to shift their strategies. This is episode 22 and the author of The AI Value Playbook will be sharing: ➤ First-hand lessons from executives about how AI delivers value ➤ The characteristics of a successful or poor AI strategy ➤ Why some businesses and structures are better set up for success ➤ Challenges legacy orgs face incorporating AI and getting value ➤ The future of jobs in a world that will be changed by AI ------------- How much value are you getting from using GenAI? Please take five minutes to complete our survey. We want to understand how & why you use AI. And we’re also starting to build a knowledge base of how professionals are getting the most value from AI so we can publish it in a report. Complete the survey here: https://tally.so/r/3EBdOr⁠https://tally.so/r/3EBdOr⁠ It will also help inform what topics the podcast will cover in 2025. Thank you for listening to the Design of AI podcast. We interview AI leaders and discuss the latest innovations. We help teams learn how to leverage AI to reshape their industries. ---------- About Lisa Weaver-Lambert Lisa is a published author on AI, specialising in advising private equity firms on due diligence and value creation. She serves on the Advisory Board of Lumenalta, a custom software development company. With experience in capital markets, working at Microsoft, and Accenture, she has a proven track record of partnering with businesses to develop operational improvement with data and AI strategies and drive value across various sectors. In addition, she has held executive line management positions working with some of the world’s best-known brands and served on various boards, earning her recognition as a leading woman in technology. Recognising the transformative potential of AI, Lisa’s mission is to equip non-technical leaders with the knowledge and confidence to leverage AI for their organisations. Her recent book, "The AI Value Playbook," provides an essential handbook for non-technical business leaders to quickly formulate a perspective on how to leverage AI. Book overview:  The AI Value Playbook draws on conversations and case studies with leading practitioners who share their first-hand experiences successfully driving AI value and pathways for progress. The result is an essential handbook for non-technical business leaders to quickly formulate a perspective on how to leverage AI. This episode was hosted by: Arpy Dragffy-Guerrero (Founder & Head of product strategy, PH1 Research)  Brittany Hobbs (VP Insights, Huge) 

One of the most overlooked parts of designing an AI product is calibrating trust. In episode 14 #Microsoft's Jess Holbrook walks us through his career building responsible AI units within tech's largest orgs. #ResponsibleAI is a hot topic as more #AI products come to market without clear explanations of how data is collected, how our data is being used, and little clarity about the value exchange. What products have you run across that are examples of GOOD & BAD explanations of data usage?

Our Substack is the best place to get AI insights & strategies https://lnkd.in/eNPEYy8q This week we shared: - Peter Merholz's episode and concerns that organizational culture will limit the learning necessary to properly implement AI - AI use & impact assessment survey. Your lessons and opinions will shape a critically important assessment of how & if AI is positively impacting individuals and teams. - Valuable lessons, including new research from #Slack - Exciting AI jobs, including at Anthropic and the World Economic Forum Please share with anyone who is interested in AI

After our last episode where Phillip Maggs outlined a vision for automating #design production work, we asked ourselves,How might design organizations need to change as a result of #AI? To answer this we spoke to the best in the industry, Peter Merholz who co-authored the book “Org Design for Design Orgs.” While our focus is on design, what we discuss will help anyone working on product teams. This is episode 21 and we’re having our most important conversation about design’s struggles: ➤ Scaling design teams & scaling their problems ➤ Designers and design leaders are overwhelmed ➤ Importance of working in a culture that values learning ➤ AI's potential impact on design  ➤ Doubts about personalization & adaptive experiences ➤ What designers need to do to succeed --------- Peter Merholz has worked at the intersection of design, technology, and humans for over 25 years. Currently, he’s an independent consultant focused on improving the effectiveness of design organizations. His clients include JP Morgan Chase, Ceridian, The New York Times, Roblox, and Starbucks. He co-founded Adaptive Path, the premier user experience consultancy, acquired by Capital One in 2014. After leaving Adaptive Path, served as a design executive, leading teams at Groupon, OpenTable, Capital One, Snagajob (now Snag), and Kaiser Permanente. He co-wrote Org Design for Design Orgs, still the premier book on building in-house design teams, and co-hosts Finding Our Way, a podcast exploring design leadership. Oh, and, yeah, he coined the word “blog.” ------------ Thank you for listening to the Design of AI podcast. We interview AI leaders and discuss the latest innovations. We help teams learn how to leverage AI to reshape their industries. If you like learning about AI and how to grow your career, make sure to follow us on your fave podcasting app. It really helps us if you leave reviews.

#DesignSystems created libraries and rules for how to build products. Phillip Maggs from Superside thinks that was the 1st step towards automating large parts of design production for brand as well. In episode 20 he mapped out his vision for creating an #LLM that enables clients to get initial concepts within a fraction of the time. Their system is already used by many of the biggest brands in the world to significantly speed up the process of making email banners, ads, landing pages, and other creative that have short time in-market.

OpenAI released its long awaited search product. Looking forward to your reviews... will it be better than Perplexity or Google? What is holding it back? The UX, functionality, or access to data sources?