When and How to Build Machine Learning into Your Product
With the rise of OpenAI and generative AI tools, more than ever we’re adopting and talking about AI as a staple in our day-to-day.
ChatGPT and DALL·E 2 have been gamechangers for many of us, while disrupting industries and proving the future is AI.
It’s no wonder AI and Machine Learning remain a shiny object that business leaders want in their value proposition. But as a Product Manager, how do you know it’s the right time to build machine learning into your product? And how do you actually do it?
Specialising in AI Product Management - with experience building both B2C and B2B machine learning products across Social Media & Adtech platforms - Karla will be sharing learnings on how to validate Machine Learning opportunities, and a process to take you from validation through to launch.
Karla Belista is a former Data Analyst turned Machine Learning Product Manager.
Currently at Playground XYZ, she oversees a suite of AI products that aim to maximise the attention paid to ads. Prior to this she was at Linktree where she led their first Machine Learning team to deliver two recommendation systems to their 30M+ users.
Long time listener, first time speaker, Karla is excited to share back to the product community her learnings and gotchas when looking to build Machine Learning into products for the first time.