Machine Learning and AI were hot in 2019, but what’s next for AI in 2020? The software side of working with AI improved a lot this year. But the hardware infrastructure side is still pretty complex, and for those who want to take advantage of GPU technology, that goes double. The truth is that AI hardware, both for fast training and effective inferencing, can be expensive, and its obsolescence cycles are quick. That’s a blocker.
But the cloud, container technology and smart software to orchestrate it all can help. Intelligent auto-scaling can help as well. Economically efficient management of specialized hardware and multi-cloud container computing strategies are the next frontier in AI. They’re also key to AI’s continued journey to the mainstream.
To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust with Jed Dougherty, Global VP of Field Engineering at Dataiku, an enterprise AI and machine learning platform.
In this 1-hour webinar, you will discover:
- What proportion of AI is focused on machine learning versus deep learning, and what that means for infrastructure requirements and costs
- How cloud, Kubernetes and intelligent development platforms can change the AI architecture equation
- How to plan your AI roadmap, including infrastructure automation
Register now to join GigaOm and Dataiku for this free expert webinar.
Who Should Attend:
- Data Scientists
- IT Professionals
- Cloud Architects