- Applied AI for Product Management - Generative AI and Intelligent Service DesignLab651, St Paul, MN
Learn from Bob Grogan, a product development thought leader and technology leader with 20+ years of proven excellence in software engineering and architecture.
Bob will discuss how digital products are increasingly being stitched together into hybrid digital/physical services with variable and unknown touchpoints between products and customers. Approaches that feature generative AI provide multiple opportunities to bring better visibility and awareness to the service design process. LLMs and Agents provide new methods for product managers to realize service flows as both assistants to the service design process and as digital twin personas in service flow simulations. Follow the flow of information between people and systems to build pictures of capabilities as the value of the service is ultimately delivered to the customer. Expand your ability to map the service journey of your customers and uncover areas of interest for improving the experience.
But it's not all about listening—we want to hear from you! Bring your current projects and ideas to the table. Engage, share, and collaborate with peers who are just as passionate about AI's transformative power in product management.
Secure your spot now for an afternoon of learning, sharing, and innovative thinking. (Plus, join us for a beverage afterwards at the post-event happy hour).
Be a part of shaping the future, today. Let's revolutionize product management together!
This event is sponsored by Recursive Awesome (AI Strategy) & Lab651 (Custom Software Development)
- Top Pros and Cons of Disruptive Artificial Intelligence (AI) in InfoSecLab651, St Paul, MN
Thank you to our sponsors, Lab651 and Recursive Awesome
Our presenter this month is Jeremy Swenson!
The presentation explores the impact of disruptive artificial intelligence (AI) in the field of Information Security (InfoSec), dissecting both the positive and negative aspects of integrating AI tools into cybersecurity measures. Highlighting prominent AI models like OpenAI's GPT, Microsoft's DialoGPT, Facebook's BlenderBot, and Rasa, emphasizing their roles in reshaping threat detection, behavioral analysis, phishing detection, automation, adaptive defense systems, and incident response. On the positive side, AI brings improved efficiency, quick response times, and adaptive defense mechanisms. However, concerns arise regarding the sophistication of AI-driven attacks, ethical considerations, resource intensiveness, false positives/negatives, lack of human understanding, and dependency on training data. The analysis provides a nuanced understanding of the evolving dynamics between AI and InfoSec, acknowledging both the benefits and challenges associated with this technological convergence.
Mr. Swenson is a disruptive-thinking security entrepreneur, futurist/researcher, and senior management tech risk consultant. Over 17 years he has held progressive roles at many banks, insurance companies, retailers, healthcare orgs, and even governments. Organizations relish in his ability to bridge gaps and flesh out hidden risk management solutions while at the same time improving processes. He is a frequent speaker, published writer, podcaster, and even does some pro bono consulting in these areas.