Running your own Machine Learning

Webinar details
Join us for a practical, beginner-friendly session on how to start running your own machine learning systems even if your company has never done ML before.
No hype, no deep math, just clear steps, real examples, and lessons learned from teams that have already done it.

What we'll cover

• When it makes sense to start machine learning in-house and when it’s better to wait.
  What you need before your first ML project: data, tools, infrastructure, and people.
• How to move from using ready-made AI tools to owning a simple ML workflow.
• How to run, monitor, and maintain ML models once they are live.

Who is this webinar for?

• Founders and leaders whose companies do not use ML yet but want to start.
• CTOs and tech leads planning their first ML initiative.
• Product and engineering teams exploring data-driven features for the first time.
• Decision-makers worried about data ownership, costs, and long-term control.