Webinar: Why Scaling AI Businesses is a Struggle
As AI has become increasingly important to virtually every aspect of business operations, companies across industries are scaling up their AI investments by growing AI teams, expanding AI use cases, and putting more AI models into production.
However, scaling AI businesses is easier said than done. As AI businesses scale, so do problems. Your models in deployment may start to misbehave. Your compute cost on the cloud are getting out of control. Your AI teams constantly find themselves reinvent the wheel and become less productive. And you begin to wonder: am I alone in the arduous journey of scaling AI businesses?
Petuum is here to offer our observations. After years of providing AI services to end customers, we’re now drawing on our living experience to focus entirely on solving machine learning operations (MLOps) problems for companies that struggle with operationalizing AI at scale.
In the past few months, we have talked to 50+ real-world machine learning practitioners including data scientists, machine learning engineers, MLOps engineers, and CTOs to understand the problems they’ve encountered when their companies try to scale their AI businesses and attempts they’ve made to address those problems.
Join us Today March 24 From 2:00–3:00 EST to hear what we’ve found about the potential roadblocks and solutions to your AI scaling efforts!