Thanks to our sponsor!
Before we get into today’s episode, I want to send a huge thanks to our friends at Amazon Web Services for their support of the podcast and sponsorship of this year’s re:Invent series.
AWS offers a vast array of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist, and expert practitioner. It’s extensive set of machine learning services at all three layers of the technology stack offers a broad array capabilities including contact center intelligence, dev/ops tools, industrial machine learning, enterprise search, health analytics, and much more. And, Amazon SageMaker – one of the fastest growing services in AWS history – helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for ML. To learn more about AWS machine learning services, and how they’re helping tens of thousands of customers accelerate their machine learning journeys, visit https://aws.amazon.com/machine-learning/.
TWIML Presents: re:Invent 2020
#437re:Invent Roundup 2020 Swami Sivasubramanian, AWS
#438ML Feature Store at IntuitSrivathsan Canchi, Intuit
#439Productionizing Time-Series Workloads at Siemens EnergyEdgar Bahilo Rodriguez, Seimens Energy