How can you build impactful AI-driven products? In this webinar hosted by Denise Hemke, Amazon Fmr Head of Product Sheetal Rajpal will be speaking on creating AI-driven products and teams that stand out, scale effectively, and deliver measurable results. Discover the key pillars for success in the rapidly evolving AI landscape, including understanding core technical concepts behind impactful AI solutions, identifying the right challenges where AI can drive meaningful value, strategically prioritizing AI initiatives to align with business objectives, and hiring and structuring the right talent to execute and sustain AI-driven innovation. Whether you’re starting your AI journey or optimizing existing efforts, this session provides actionable insights to help you succeed.
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Show Notes:
- Sheetal Rajpal has over 15 years of experience building SaaS products and leading AI initiatives.
- There is significant hype around AI, but this time it may be different due to the projected economic value and rapid adoption.
- Product managers need to build technical depth and intuition around AI, including understanding its limitations and challenges.
- Hands-on experimentation with AI tools like ChatGPT, Perplexity, and Notebook LLM is crucial.
- Prioritization for AI initiatives should still leverage existing frameworks like RICE, with added consideration for AI complexity.
- AI risks need to be carefully managed by setting appropriate boundaries and constraints.
- Building sustainable advantages through access to proprietary data and customer insights is key.
- Product leaders will become “agent leaders” managing AI agent systems that balance long-term implications and business metrics.
- Multimodal experiences leveraging voice, vision, and other modalities will drive significant user engagement.
- There will be a need for human-only communities and experiences to combat the digital noise created by AI.
- Ethical considerations and potential biases in AI solutions must be addressed, often with the help of legal counsel.
- Data readiness is crucial, requiring incremental improvements to data quality and strategic partnerships.
- Clearly labeling AI features and educating customers on their capabilities and limitations is important.
- Healthcare and mental health are leading industries in AI innovation, with lessons around rich data and regulatory compliance.
- Simplicity and focus on use cases are often more valuable than optimizing the underlying LLM technology.
- Experimentation with different LLMs should be balanced with a focus on use cases and leveraging existing optimizations.
- Avoid reinventing the wheel and instead leverage external SaaS tools and platforms to accelerate AI execution.
- Conduct thorough data audits and improve data quality to ensure AI models are trained on rich, clean data.
- Be cautious about AI capabilities and limitations, and clearly communicate these to customers.
About the speaker
I am a Product Leader most recently at Amazon, where I led the Kids+ subscription product (SaaS) with $XXXMM ARR. I have over 15 years of experience (10 in product management and 5 in engineering) in building and growing products using data, AI/ML, research, strategy, and user empathy across various domains, including subscription, marketplace, media-tech, ed-tech, health-tech, real-estate tech, fintech, and e-commerce. I have an MBA from The Wharton School and an undergrad in Computer Science and Mathematics.
About the host
As the Chief Product Officer at NEOGOV, Denise leads the strategy for public sector HR and Public Safety software, driving innovation, customer satisfaction, and excellence. Her experience at Checkr as Chief Product Officer saw her delivering customer-focused products and promoting a fairer future. Denise’s notable career spans over two decades, with significant roles including GM for Analytics at Workday, where she launched new products and grew the business to over $200 million in ARR. Her background includes leadership positions at Platfora, Salesforce, HSBC, and AT&T, showcasing her expertise in enterprise product development and a commitment to technological advancement and customer success.