Building vs. Buying Your ML Platform

What to consider before building or buying an ML platform
Ran Romano
Ran Romano
Co-founder & CPO at Qwak
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As organizations embrace the potential of data, they face a challenge of operationalizing machine learning and data science delivery processes.Building the infrastructure to support machine learning efforts requires experience, and resources.

Join Qwak's VP of R&D, Ran Romano to hear from his experiences about:

  • What should your ML engineering platform be able to deliver?
  • The points to consider whether you build or buy

As organizations embrace the potential of data, they face a challenge of operationalizing machine learning and data science delivery processes.Building the infrastructure to support machine learning efforts requires experience, and resources.

Join Qwak's VP of R&D, Ran Romano to hear from his experiences about:

  • What should your ML engineering platform be able to deliver?
  • The points to consider whether you build or buy

Qwak optimizes AI in production

“From our very first interaction, it was clear that Qwak understood our needs and requirements. Their platform enabled us to deploy a complex recommendations solution within a remarkably short timeframe. Moreover, Qwak is an exceptionally responsive partner, continually refining their solution.”
Lightricks
“We ditched our in-house platform for Qwak. I wish we had found them sooner.”
Upside
“Qwak streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”
Notion