Applying Machine Learning into Your Product – When It Will (And Won’t) Benefit the Customer
Machine Learning (ML) is a branch of Artificial Intelligence computer science that has seen significant gains in the last ten years. Products like Alexa, Netflix viewing suggestions, and facial recognition on smartphones were enabled using Machine Learning. ML enables a move away from having to manually program the machine to self-learned autonomy: machines make predictions and improve insights based on patterns they identify in data without humans explicitly telling them what to do. That’s why ML is particularly useful for challenging problems that are difficult for people to explain to machines.
The adoption of ML has been rapidly advancing across various business sectors. According to a recent McKinsey study, nearly half of the companies surveyed have incorporated one or more artificial intelligence capabilities in their process and another 30% are piloting AI projects. It’s not hard to see why ML is expected to be even more transformative than mobile technology. However, the transition to ML could also be more than 10 times harder than the transition to mobile.
In this webinar, our guest expert Bastiane Huang, Product at Osaro, will explain the promises and challenges of incorporating ML technologies into your products. She will explain the fundamentals of ML, products that can benefit from it, and share a few best practices from her experience as a Product Manager managing machine learning products.
