How can integrating AI into your product development process improve customer value? In this webinar, Dayforce VP of Product Amber Foucault will be sharing real-world examples and strategies that you can implement immediately to harness the full potential of AI in your organization. Additionally, you’ll learn how AI can revolutionize your approach to building products, from ideation to delivery. Tune in for insights on empowering your team to innovate faster, make data-driven decisions, and deliver unparalleled value to your customers.

Join us for new conversations with leading product executives every week. Roll through the highlights of this week’s event below, then head on over to our Events page to see which product leaders will be joining us next week.

Show Notes:

  1. Integrating AI requires evolving the product development process from fast iterations to slower, more careful model building and evaluation.
  2. Developing accurate and high-impact AI models poses challenges around data quality, scaling costs, and the consequences of errors.
  3. Requirements gathering and extensive user testing are especially important for AI due to its complexity.
  4. Unit testing, data review, and the evaluation stage require significant investment to produce robust AI products.
  5. Diversity of perspectives is crucial for evaluating AI models and detecting unintended biases.
  6. Privacy, auditability, and stakeholder buy-in must be considered from the start of AI development.
  7. Commercializing AI will focus on demonstrating productivity gains and optimizing monetization over quick fixes.
  8. Data quality, costs, and privacy issues may slow widespread AI adoption in the short term.
  9. Small, focused language models can reduce risks compared to large pre-trained models.
  10. Ongoing experimentation and fine-tuning are needed to iteratively improve AI performance.
  11. Ethics and fairness standards must be measurable and complied with.
  12. Unseen data handling and error management are important metrics for production readiness.
  13. You must address scaling challenges like hardware, software, data, and human costs.
  14. You need clear use cases and value propositions to justify AI investment costs.
  15. Adopting AI requires a long-term, responsible mindset rather than expecting overnight success.
  16. Design plays a key role in building user trust and adoption of AI capabilities.
  17. Getting hands-on experience is important for product teams to integrate AI.
  18. Datasets and their curation, protection and combination pose complex challenges.
  19. Governance frameworks are important to consider for high-risk AI use cases.
  20. Optimization and efficiency gains will drive nearer-term AI commercialization.
About the speaker
Amber Foucault Dayforce, VP Product Applications Member

As the Vice President of Product Applications for Dayforce, Amber oversees Core HR & Benefits, Payroll & Wallet, Talent, Workforce Management and Tax & Payments. She has over a decade of experience in senior Product leadership roles, driving innovation, customer satisfaction, and business growth.

About the host
Jonmichael Moy AppDirect, Senior Director

Toronto Chapter Head for Products That Count I am a digital product executive with over 20 years of experience in retail, digital media, and e-commerce. I’ve held both strategic and operational leadership roles at Canadian Tire, Torstar, Postmedia, eBay, and PayPal as well as start-ups. I am a servant leader who is humble, self aware, always learning, and excels at collaborating with stakeholders. I am a graduate of Carnegie Mellon University, a father of two, pancreatic cancer awareness advocate, moved to Canada 13 years ago, and grew up in Boston, Massachusetts. I currently sit on the Product Management Program Advisory Council for York University which offers Canada’s first post-secondary product management program.

Provide your rating for this post
If you liked this post, please use the buttons to the left to share it with a friend or post it on social media. Thank you!

Leave a Reply

Read more

Product Divergence Series: PM Exercises and Product Monkey AI Founder and CEO on Automating PM Tasks With AI

In this episode of the Product Divergence series with Nacho Andrade, Bijan Shahrokhi speaks on automating PM tasks with AI.

PM Awards Series: Sr. Product Director on Transforming Insights With AI

In this episode of the PM Awards series hosted by Andrew Zavattero, Prakash Aditham speaks on transforming insights with AI.

Freshworks SVP on Gen AI’s Transformation of Product Management Roles

Siddhartha Agarwal speaks on Gen AI’s transformation of product management roles and how PMs can harness the power of AI.

/ Register for Free

Don’t be left behind in your career. Join a growing community of over 500K Product professionals committed to building great products. Register for FREE today and get access to :

  • All eBooks
  • All Infographics
  • Product Award resources
  • Search for other members

Coming soon for members only: personalized content, engagement, and networking.