This month in AWS Machine Learning: January edition

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Hello and welcome to our first “This month in AWS Machine Learning” of 2021! Every day there is something new going on in the world of AWS Machine Learning—from launches to new to use cases to interactive trainings. We’re packaging some of the not-to-miss information from the ML Blog and beyond for easy perusing each month. Check back at the end of each month for the latest roundup.

Launches

We ended the year with more than 250 features launched in 2020, and January has kicked us off with even more new features for you to enjoy.

  • AWS Contact Center Intelligence solutions are now available through multiple partners in EMEA, and contact center providers. Avaya, Talkdesk, Salesforce, and 8×8 now join Genesys as technology partners for AWS CCI.
  • Reach new audiences, have more natural conversations, and develop and iterate faster, even in more than one language, with the new Amazon Lex V2 APIs. Check it out along with information on the new console.

Use cases

Get ideas and architectures from AWS customers, partners, ML Heroes, and AWS experts on how to apply ML to your use case:

Learn how AWS ML Hero Agustinus Nalwan helped make his toddler’s dream of flying come true with Amazon SageMaker.

Explore more ML stories

Want more news about developments in ML? Check out the following stories:

Mark your calendars

  • If you missed AWS re:Invent 2020, you can watch sessions on demand and check out the first-ever ML keynote with Swami Sivasubramanian, VP of Machine Learning at AWS. And our AWS Heroes break down the keynote.
  • The AWS DeepRacer pre-season launches today (February 1)! Register here and read more in this post.
  • On Feb. 24, we are hosting the AWS Innovate Online Conference – AI & Machine Learning Edition, a free virtual event designed to inspire and empower you to accelerate your AI/ML journey. Whether you are new to AI/ML or an advanced user, AWS Innovate has the right sessions for you to apply AI/ML to your organization and take your skills to the next level. Register here.

About the Author

Laura Jones is a product marketing lead for AWS AI/ML where she focuses on sharing the stories of AWS’s customers and educating organizations on the impact of machine learning. As a Florida native living and surviving in rainy Seattle, she enjoys coffee, attempting to ski and enjoying the great outdoors.

This content was originally published HERE

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