Smooth integration is a challenge for machine learning professionals
A new survey of 200 US-based machine learning decision makers looks at the trends, opportunities and challenges in machine learning and MLOps (machine learning operations).
The study from ClearML finds that for 41 percent, the biggest challenge of their MLOps platform, tools, or stack, is friction in using tools with other technology. While 22 percent cite vendor lock -- difficulty switching to a different provider without significant costs, time, or disruptions -- as the biggest challenge.
How artificial intelligence and machine learning are changing the development landscape [Q&A]
It's an increasingly rare application these days that doesn’t claim to incorporate some form of artificial intelligence or machine learning capability.
But while this may be great from a marketing standpoint it does pose a challenge for developers. We spoke to Luis Ceze, CEO and co-founder of OctoML, to find out more.