×

You're seconds away from unlocking all AI/ML resources

First Name
Last Name
Company Name
Country
CDN Province
US State
India State
AU State
Phone Number
Job Role
Job Title
Industry
Postal Code
This information is associated with my:
Compliance Opt-in
Thank you!
Error - something went wrong!

Integrate easy-to-use machine learning into your analytics workloads

March 22, 2022

Machine learning can help your organization imagine new products or services, transform customer experiences, streamline business operations, improve decision-making, and much more. However, organizations find it difficult to scale such initiatives due to limited market of skilled professionals. At AWS, we are building a new wave of data and analytics tools enabling the development of sophisticated insights with little upskilling required. In this session, learn the easy-to-use machine learning features and capabilities integrated with AWS Analytics services such as AWS Glue, Amazon Kinesis Data Analytics, Amazon OpenSearch, Amazon Athena, Amazon Redshift and Amazon QuickSight which helps scaling ML at every stage of your analytics pipeline, beyond the role of data scientists to a more varied set of personas such as data engineers, database developers, data analysts, BI professionals, and the line of business.
 
Speaker: Niladri Bhattachrya, Senior Analytics Specialist Solutions Architect, AWS

Download slides

Previous Video
Sentiment analysis using Amazon Aurora machine learning integration
Sentiment analysis using Amazon Aurora machine learning integration

Machine learning algorithms have become one of the key competitive fronts between huge tech firms, with man...

Next Video
Democratize machine learning with Amazon Redshift ML to drive employee attraction, not attrition
Democratize machine learning with Amazon Redshift ML to drive employee attraction, not attrition

Amazon Redshift ML, powered by Amazon SageMaker Autopilot, makes it easy for data analysts, data scientists...