The Signal Loop: What to BUILD when you can build anything
Lena Hall discusses choosing valuable problems and communicating product value when AI makes similar-looking products easy to produce. The session connects positioning, customer trust and feedback-driven adoption.
Lena Hall
Senior Director, Developer and AI Strategy · Akamai
8Sep
4:00 PM UTC · 60 min
What you’ll explore
1
Make product value distinct
Explain why customers should choose a particular AI product.
2
Find communication losses
Identify where intended value fails to reach the right audience.
3
Improve through feedback
Use customer responses to refine positioning and adoption.
About this session
Lena Hall discusses choosing valuable problems and communicating product value when AI makes similar-looking products easy to produce. The session connects positioning, customer trust and feedback-driven adoption.
Guest speaker
Lena Hall
Senior Director, Developer and AI Strategy · Akamai
Lena works on production AI adoption and has held developer-experience and engineering roles at AWS and Microsoft, including Microsoft Research.
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
Aishwarya Srinivasan
AI Advisor / AI Educator
Aishwarya Srinivasan is the Co-Founder of The Gen Academy and a Developer Relations Lead at Nebius. Her experience spans Fireworks AI, Microsoft for Startups, Google Cloud and IBM, where she worked with developers and businesses on practical AI and machine-learning solutions. She holds a postgraduate degree in Data Science from Columbia University and teaches AI engineering, applied machine learning, generative AI and LLMOps.
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions. He has built and deployed enterprise AI systems and focuses on translating AI concepts into practical, production-ready solutions. He holds a Master's from Carnegie Mellon University.
