Women in Big Data - AWS AI/ML Workshop Minneapolis


Women in Big Data - AWS AI/ML Workshop Minneapolis


Overview

You are invited to introductory and technical sessions including hands-on experience on the AWS Artificial Intelligence/Machine Learning Platform, hear success stories from our guest speakers, and connect with the AWS subject matter experts who can help you accelerate your machine learning efforts.

AWS has a long and rich heritage of Machine Learning and Deep Learning Solutions such as personalized shopping recommendations, automated fulfillment and inventory management, robotic drones for fast delivery, a checkout-free computer vision retail experience with Amazon Go, voice interactions with Alexa, and a lot more. And now, AWS is the center of gravity for Artificial Intelligence/Machine Learning because of the massive volume of data stored and processed on our Big Data platform. By lowering the barriers for AI/ML workloads with an innovative suite of products and services, AWS enables you to easily build machine learning powered smart applications to meet complex business needs.

Who should attend?

  • Solutions Architects, Developers, Technical Managers, and Decision Makers who want to understand the fundamentals of the AWS Machine Learning Platform.
  • Data Scientists, Architects, and Analysts looking to accelerate their AI/ML initiatives.
  • Machine Learning enthusiasts, women in technology or big data looking to jump-start their career in AI/ML technologies.

Event Details

Date & Time: April 25, 2019
1:00 PM – 5:00 PM
Registration: 12:30 PM
Location: Amazon Web Services, 323 N. Washington Ave. 7th Floor, Minneapolis, MN 55401

Agenda

Time Session
1:00 PM – 1:45 PM Overview of AI/ML Services on AWS
  • Short AI/ML Demo
  • The Amazon AI/ML Stack
  • An Introduction to Amazon SageMaker
1:45 PM – 2:20 PM Panel Discussion with Guest Speakers
  • Carmen Fontana, Cloud & Emerging Tech Lead at Centric Consulting
  • Laura Madsen, Founder and President of Route Twenty Five
The following breakout sessions can be selected based on your current expertise and/or interest:
  Track 1: Hands-on Sessions for AWS AI/ML Application Services Track 2: Hands-on Sessions for Amazon SageMaker
2:30 PM – 3:15 PM Build your first conversational bot using Amazon Lex/Polly
Level: Beginner
Build a Prediction Model using Amazon SageMaker Built-in Algorithms
Level: Intermediate
3:15 PM – 4:00 PM Social Media and Amazon Rekognition
Level: Intermediate
Amazon SageMaker Integration with Apache Spark on Amazon EMR
Level: Advanced
4:00 PM – 5:00 PM Networking / Happy Hour
Time Session
1:00 PM – 1:45 PM Overview of AI/ML Services on AWS
  • Short AI/ML Demo
  • The Amazon AI/ML Stack
  • An Introduction to Amazon SageMaker
1:45 PM – 2:20 PM Panel Discussion with Guest Speakers
  • Dr. Clare Gollnick, Chief Technology Officer at Terbium Labs
  • Miriam McLemore, Director, Enterprise Strategy at AWS
The following breakout sessions can be selected based on your current expertise and/or interest:
  Track 1: Hands-on Sessions for AWS AI/ML Application Services Track 2: Hands-on Sessions for Amazon SageMaker
2:30 PM – 3:15 PM Build your first conversational bot using Amazon Lex/Polly
Level: Beginner
Build a Prediction Model using Amazon SageMaker Built-in Algorithms
Level: Intermediate
3:15 PM – 4:00 PM Social Media and Amazon Rekognition
Level: Intermediate
Amazon SageMaker Integration with Apache Spark on Amazon EMR
Level: Advanced
4:00 PM – 5:00 PM Networking / Happy Hour

Featured Partner

Intel
Intel


Registration Closed