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Dr. Sundeep Teki is a leader in Applied AI & Neuroscience with 16+ years of diverse experience in leading organisations across Big Tech (Amazon Alexa AI), startups (Swiggy) and Academia (Oxford & UCL). He has published 40+ papers with 2800+ citations and his work has been recognized by top research organizations like the Royal Society and the Wellcome Trust. He currently works as an AI consultant and coach.
Ajit is the author of Price To Scale, a top book on SaaS Pricing and is the Founder of Monetizely. Ajit has led and worked in pricing and product marketing at firms like Twilio, Narvar and Medallia. Ajit is also a highly-rated co-instructor for "The Art of SaaS Pricing and Monetization" on Maven.
1. Cost implication of Gen AI model selection
2. Gen AI model selection cost vs quality choices for AI co-pilots, AI primary and AI infrastructure
3. Pricing metric selection for Gen AI products
4. An approach to pricing metric selection (user-based vs. usage-based vs. other models) that aligns with customer value.
5. Development considerations for CTOs and Engineers
6. Understand the pros and cons of different models from an engineering and sustainability perspective.
Engineering, Product and AI Leaders are now faced with a complex set of factors in GenAI development. This includes balancing development, training, inference and maintenance costs with speed and quality. Additionally these products must deliver concrete customer value. Critical decisions around use cases, models and pricing models can mean the difference between success and failure.
