Product Impact Podcast | Secrets to unlocking the value of AI

Product Impact Podcast | Secrets to unlocking the value of AI

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Product Impact Podcast | Secrets to unlocking the value of AI episodes

  • 16. Service design of AI: Designing the first Copilot w/ Microsoft & OpenAI [Yasemin Cenberoglu]
    Our guest is Yasemin Cenberoglu, who was the first designer to work on Microsoft’s Copilot, all in secret, before the world was exposed to ChatGPT for the first time.
    Yasemin is a Principal Design Manager at Microsoft, leading the Copilot product for Teams Meetings, Calling, and Devices. She’s the first designer to shape what Copilot is today. Previously, she served as the Director of Design at Digitalist. Yasemin is an advisory board member at IDEA School of Design at Capilano University. She studied in Germany and then at Cal State, in the SF Bay area.
    In this conversation we discuss:
    ‣  Her experience as the first designer working with Microsoft and OpenAI to create the first Copilot
    ‣  The blue sky innovation and challenges being the first to work with GenAI as a design material
    ‣  Service design and how the discipline provides an advantage to designers working on  probabilistic experiences
    ‣  Lessons and approaches for when to build a Copilot vs. Agent vs. Chatbot
    ‣  How service blueprints will need to evolve to meet the needs of probabilistic design
    Episode is hosted by:
    Arpy Dragffy Guerrero (Founder & Head of product strategy, PH1 Research) https://www.linkedin.com/in/adragffy/
    Brittany Hobbs (VP Insights, Huge) https://www.linkedin.com/in/brittanyhobbs/
    Thank you for listening to the Design of AI podcast. We interview leaders and practitioners at the forefront of AI. If you like this episode please remember to leave a rating and to follow us on your favorite podcast app.
    Take part in the conversations about AI https://www.linkedin.com/company/designofai/
    And subscribe to our newsletter for additional resources https://designofai.substack.com/
    52 min
  • 15. Futures design: Build AI products that customers want & find valuable use cases [Arpy Dragffy - PH1]
    Product teams are struggling to find the use cases which deliver the most value to customers and where the technology can be effective. And teams that have built AI products are finding that there’s often a mismatch between what customers find valuable and what the technology can do. Our guest is Arpy Dragffy Guerrero, the founder of PH1 Research where he has consulted Spotify, Microsoft, Mozilla, National Football League, to research and strategize how to best leverage emerging technologies. He’s worked on products across AI, personalization, Web3, location-sensing, and more. His focus is creating product & testing strategies to quickly pinpoint where the best opportunities are for new products. Follow him on social:https://www.linkedin.com/in/adragffy/https://twitter.com/arpyd Arpy maps out Futures Design: How to build AI products that customers want. We discuss strategies for product teams:‣ Learning from failure & the struggles of early AI‣ The challenge of identifying the impactful use cases of AI‣ The importance of value drivers (& why they aren’t JTBD)‣ Applying systems thinking to AI products & strategies‣ People hate chatbots —agents will open new possibilities‣ Examples of how agents could transform use cases and rolesPlease subscribe to: Design of AI: The podcast for product teams, on Spotify, Apple podcasts, Youtube, substack. We interview leaders and practitioners at the forefront of AI to help product teams navigate where and how to leverage AI.Substack newsletter for more content https://designofai.substack.com/Join the conversation on LinkedIn https://www.linkedin.com/company/103164463/ This Design of AI episode is brought to you by PH1: A research & strategy consultancy that helps clients build AI products that customers wanthttps://ph1.ca
    47 min
  • 14. Researching & building responsible AI within tech’s biggest platforms [Jess Holbrook, Head of UX
    What is the path to building responsible AI products? We have a special guest: Jess Holbrook, the Head of UX Research for Microsoft AI.
    We discuss:
    ‣ Responsible AI: What it is and how orgs need a clear vision for it
    ‣ Data transparency: Ensuring you are communicating appropriately
    ‣ Becoming one of Google’s first user researchers working on machine learning
    ‣ Philosophical differences to user research at Google, Meta, and Amazon
    ‣ Bridging academic research and the practical development of AI products
    ‣ The paradigm shift that big tech is expecting AI to deliver
    ‣ Why the last thing you should want is a user over-trusting your product
    As one of the first user researchers working on AI products, Jess offers a deep and informed perspective on the challenges and opportunities of working with this new technology. He challenges organizations to build values into their products, unwaveringly and without vagueness. 
    Jess Holbrook is the Head of UX Research for Microsoft AI. Prior to that he was Director of UX Research for Generative AI and Responsible AI at Meta. He got his start in human-AI research about 10 years ago at Google where he was a founder and lead of Google’s People + AI Research group (PAIR). Prior to joining Google, he was a UX Researcher at Amazon and Microsoft. He received his Ph.D in Psychology from the University of Oregon and a B.S. in Psychology from the University of Washington
    https://linkedin.com/in/jessholbrook/
    https://x.com/jessscon
    Please subscribe to: Design of AI: The podcast for product teams, on Spotify, Apple podcasts, Youtube, substack. We interview leaders and practitioners at the forefront of AI to help product teams navigate where and how to leverage AI.
    Have questions? Join the conversation in our LinkedIn community: https://www.linkedin.com/company/designofai/
    Hosted by:
    Brittany Hobbs https://www.linkedin.com/in/brittanyhobbs/
    Arpy Dragffy Guerrero https://www.linkedin.com/in/adragffy/
    This Design of AI episode is brought to you by PH1: A research & strategy consultancy that helps clients build AI products that customers want
    https://ph1.ca
    1 hr 1 min
  • 13. Unlocking AI product success: Coaching teams to navigate uncertainty & design risks [Scott Jenso
    AI is changing the role of the designer and shifting how product teams succeed. We have a special guest: Scott Jenson, formerly from Apple, Google, and Frog Design.
    We discuss:
    • Why designers feel like their entire job will go away
    • What advice he offers to the teams and individuals he coaches
    • How AI is over--hyped and where it will have impact
    • Lessons from working at the forefront of mobile technology
    • Why Google, Apple, Meta, Microsoft are all racing to get there first
    • Recommendations to build successful products today
    This conversation is more of a coaching session for the designers, researchers, and product teams trying to navigate this time of great change.We try and cut through the hype to distill out key lessons that will help you all in your careers.
    Scott Jenson has worked in user interface design and strategic planning for over 30 years. The first member of the System Software Human Interface group at Apple in the late 80s, working on System 7, the Apple Human Interface guidelines and the Newton digital assistant. After Apple, was a freelance design consultant, doing work for Netscape, Mayo Clinic, American Express, and several web startups. Then director of product design for Symbian, then managed Mobile UI design at Google for 6 years. Left to become creative director at frog design for 2 years but returned to Google to explore advanced UX concepts for IoT and Android at Google. 35+ patents.  https://www.linkedin.com/in/scottjenson/
    Please subscribe to: Design of AI: The podcast for product teams, on Spotify, Apple podcasts, Youtube, substack. We interview leaders and practitioners at the forefront of AI to help product teams navigate where and how to leverage AI.
    Have questions? Join the conversation in our LinkedIn community: https://www.linkedin.com/company/designofai/
    Hosted by:
    Brittany Hobbs https://www.linkedin.com/in/brittanyhobbs/
    Arpy Dragffy Guerrero https://www.linkedin.com/in/adragffy/
    This Design of AI episode is brought to you by PH1: A research & strategy consultancy that helps clients build AI products that customers want
    https://ph1.ca
    57 min
  • 12. Content design: How creatives are leveraging prompt engineering to innovate ecommerce platforms
    This conversation is a deep case study into what the capabilities of the technology are today and how product teams must leverage both creative experts and these emerging technologies, side-by-side. Our guest is Trisha Causley from Shopify.
    Topics we discuss:
    ▪ Why Trisha went from an AI skeptic to a champion
    ▪ What types of creative tasks GenAI is best at
    ▪ Tactical lessons for leveraging GenAI across product experiences
    ▪ Why prompt engineering must become part of your toolkit
    ▪ Shopify’s plan to leverage GenAI to scale & personalize brand-building
    ▪ Why GenAI enhances the role of creatives by expanding what you do
    Trisha Causley is a Senior Staff Content Designer at Shopify in Toronto, Canada, where she works on AI-powered product features. She previously worked with IBM and on the Watson team. https://www.linkedin.com/in/tcausley/
    Have questions? Join the conversation in our LinkedIn community: https://www.linkedin.com/company/designofai/
    Subscribe to the Design of AI podcast for more in-depth resources for product teams.
    Hosted by:
    Brittany Hobbs https://www.linkedin.com/in/brittanyhobbs/
    Arpy Dragffy Guerrero https://www.linkedin.com/in/adragffy/
    46 min
  • 11. Innovation lessons for brands and product teams investing into AI [Design of AI podcast]
    Why are brands investing into AI? How can they succeed? What can we learn from how experts in the field of innovation lead transformation projects? Where will AI actually deliver impact in the near term? Joining us is Nick Sherrard, who is involved in digital innovation conversations across Fortune 500, government, and startups.
    He is a co-founder of Label Sessions, the global innovation expert network, and Label Ventures, the venture studio. He is also a board member at Substrakt, the digital agency, and Collective art gallery in Edinburgh. Nick is often said to be the only person to have run an innovation lab inside a bank, a government department, a big 4 consultancy and a circus. His approach to making change happen in organisations fuses his more classic brand and product development background, with the devising mindset of arts producer. Nick advises boards and entrepreneurs globally.
    Add him on LinkedIn: https://www.linkedin.com/in/goodideas/
    In this episode we cover:
    ▸ Top-down and bottom-up approaches to leading AI projects
    ▸ History of art and innovation is the history of rejection
    ▸ Leaders of AI projects often don’t anticipate what’s needed
    ▸ The problem with design thinking when building AI products
    ▸ How the creative & consulting worlds are enhanced by AI
    ▸ Use cases where AI will have impact
    Subscribe to the Design of AI podcast for more in-depth resources for product teams.
    For show notes, product resources, insights, and strategies, please subscribe to our newsletter: https://designofai.substack.com
    54 min
  • 10. AI is disrupting the design & product delivery process [Lessons for startups, enterprise & UX]
    Building products with GenAI brings powerful new capabilities but also a whole new set of uncertainties. Teams can't rely on best practices because the technology is changing so quickly and users are cautiously adopting change. Designing and shipping products can no longer be thought about as a linear process.
    Alexandra Holness, Senior Lead Product Designer at Klaviyo, joins to share lessons, cautions, and a path forward to help product teams build AI products that customers want. She sees that successful product teams will depend on designer, data scientists, engineers working more closely than ever because it is very hard to predict how customers will use models until you've shipped them.
    Have questions? Join the conversation https://www.linkedin.com/company/designofai/
    Subscribe to the Design of AI podcast for more in-depth resources for product teams.
    For show notes, product resources, insights, and strategies, please subscribe to our newsletter: https://designofai.substack.com
    49 min
  • 9. AI can innovate behavior change strategies & transform personalization [Amy Bucher Ph.D]
    Tech has been promising personalized experiences for a decade. Now GenAI can finally deliver on that. Amy Bucher Ph.D joins us to discuss how she leverages AI for behavior change and the technology’s potential for delivering meaningful outcomes. We go into how product teams should leverage AI for best results and the types of outcomes you should design for. Dr. Amy Bucher is the Chief Behavioral Officer at Lirio where she leads the behavioral design of their AI products for healthcare. She authored Engaged: Designing for Behavior Change, which was widely used by product and marketing teams.Have questions? Join the conversation https://www.linkedin.com/company/designofai/Subscribe to the Design of AI podcast for more in-depth resources for product teams.For show notes, product resources, insights, and strategies, please subscribe to our newsletter: designofai.substack.com
    57 min
  • 8. Case studies: Leveraging AI to build conversational bots & analyze conversations [Design of AI po
    How can AI make our workflows and products more effective? It’s a question every product team is asking itself as they decide to invest into developing or licensing products. Let’s learn from two building and leveraging AI today.
    Two case study presenters from the upcoming Rosenfeld Design with AI Conference (June 4 & 5) will be with us to detail out how they leveraged GenAI. Savannah Carlin, Staff Product Designer at Marqeta, will detail how to design conversational interactions with AI. Weidan Li, the Design Research Lead at SEEK.com, will outline AI’s performance in analyzing qualitative data.
    Design of AI, the podcast for product teams Hosted by Brittany Hobbs & Arpy Dragffy Guerrero. Find us on LinkedIn https://www.linkedin.com/company/designofai/
    Subscribe on Spotify, Apple, YouTube for weekly interviews with leaders at the forefront of AI.
    And join our substack newsletter to get resources, insights, and strategies for product teams https://designofai.substack.com
    54 min
  • 7. The secrets to researching potential emerging tech products
    Building products using emerging technologies is more difficult. As we’re seeing with building AI products today, teams are often chasing which use case and customer profiles to focus on. It’s harder because the new technologies make us obsess over what’s possible rather than what people actually need. Dr. Llewyn Paine joins us to share lessons and strategies from her advising teams working on spatial computing, virtual reality, and robotics. Her expertise is helping teams make better product decisions through research. We’ll discuss how to identify your best potential customers and design higher-value products and services they’ll love to use.
    She is an innovation strategy consultant with nearly two decades of experience in emerging technologies, including mixed reality and AI at Microsoft, and experimental media for Disney. She has helped emerging technology teams launch flagship products and secure investments of over $300M.
    Go to designofai.substack.com to get additional resources.Read less
    49 min

About Product Impact Podcast | Secrets to unlocking the value of AI

From the publisher's feed

No-nonsense advice and strategies from AI product leaders, designers, and researchers Learn how to overcome adoption barriers and scale impact across teams and customer bases. Our audience learns powerful insights that will shift how they think about and leverage AI. At the core is how to improve the UX of using AI and to enhance the quality and consistency of the products we depend on most for work.

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