Cloud Technologies have never been so strong. It’s no longer just infrastructure-as-a-service, it’s a whole ecosystem able to provide out-of-the-box services. Enterprises can now accelerate their cloud and digital adoption at a pace that has never been seen before.
CIOs, CDOs, and technical functions recognise the central role of the cloud and also the need to support the business by providing full access to data and analytics tools. The urgency and the challenge is to qualify new technologies, understand where they can help, create the expertise, integrate them into the current ecosystem, and drive the business forward.
In this context AWS is investing to provide a seamless experience through their services and, together with Data Reply, to be able to serve companies with best of breed capabilities to execute the transformation.
This webinar has been designed to help CIOs, CDOs, Heads of Data, Data Science and Analytics in different industries to understand how they can plug AWS technologies into their existing ecosystem, or design a completely new Data & Analytics-cloud-first adoption.
This is the first in a series of 6 webinars covering the use of AWS technologies and the success they enable, to be held over the coming months.
Webinar #1 focuses on one pillar of AWS technologies for Data Science: Amazon Sagemaker, providing attendees with:
An overview of the main features
Industry success story - Machine Translation at BMW
Best practices from industry experts
A walkthrough 'show-me-how' session
Opportunity to ask questions
Amazon Sagemaker has been helping businesses build, train & deploy machine learning models at scale. By leveraging multiple templates and reference architectures for common ML use cases, Sagemaker can rapidly accelerate your ML journey from concept to production, with the newest additions even allowing you to detect biases and automate machine learning workflows using Pipelines.
In this webinar, learn how you use Sagemaker to build a custom sales forecasting engine leveraging parallel computing capabilities to facilitate optimal time and resource efficiency.
16.00-16.05 GMT: An introduction to Data Reply
16.05-16.20 GMT: Industry success story
16.20-16.50 GMT: Show me how - Our practical demo!
16.50-17.00 GMT: Q&A
Reply's Webinars series covers all industries and spans the latest innovation trends.