In this episode, Dean Guida hosts Michael Dodsworth, Founder & CEO of Fanfare, to discuss Michael’s journey from engineering roles at Salesforce to tackling major challenges in ticketing and retail. He explains how bots and bad actors disrupt ticket sales and product drops, frustrating real fans. Michael shares how Fanfare uses layered security, AI, and scalable technology to identify genuine customers, manage queues, and enhance both online and in-person experiences. The conversation explores technical innovations, AI’s role in development, and Fanfare’s vision for fairer, more transparent, and enjoyable consumer interactions in high-demand events and retail.
In this episode, Raj Singh, VP of Product at Soloist AI, discusses how generative AI is reshaping product management, software development, and marketing. He shares practical advice for product managers and engineers on leveraging AI to boost creativity and productivity. Raj also explores new trends in growth strategies, including AI-driven marketing and content creation, and highlights Soloist AI’s commitment to ethical AI and tools for small businesses.
In this episode, host Dean Guida interviews Kuber Jain, Senior Data Scientist, Product Analytics at Headspace. They discuss how AI and analytics drive product engagement, user retention, and experimentation in consumer apps. Kuber shares insights on leveraging telemetry data, building trust in data-driven organizations, and the importance of combining quantitative and qualitative insights. The conversation highlights the evolving role of AI, the necessity of soft skills, and the value of empathy and clear communication in creating impactful, user-centered products.
In this episode, Dean Guida interviews Deep Nayar, Founder and CTO of IoT83, about the digital transformation of OEMs as they embrace the Internet of Things. The discussion covers the challenges of scaling, the importance of contextual data, the role of AI in product development and usability, and the slow but growing adoption of IoT-driven business models in industries with traditionally thin margins.