Tag: Data Reply
Intelligent document processing (IDP) falls under the intelligent process automation of business tasks, and specifically involves extracting value from documents in an automated manner. Learn how customers can leverage Data Reply’s end-to-end IDP pipeline solution called DocExMachina, which is based on Amazon Textract and Amazon Comprehend. We’ll show how to make this pipeline document agnostic and customizable on AWS.
Feature engineering is a critical process in which data, produced by data engineers, are consumed and transformed by data scientists to train models and improve their performance. Learn how to accelerate data processing tasks and improve collaboration between data science and data engineering teams by applying MLOps best practices from Data Reply and leveraging tools from AWS. Data Reply is focused on helping clients deliver business value and differentiation through advanced analytics and AI/ML on AWS.
Data analytics and data science are constantly described as a black box that only technical people understand. To overcome this, AWS offers a set of services that make it easier for any user to learn firsthand from the data. This self-service approach enables non-technical users without coding experience to be more autonomous in their analysis. Learn how Data Reply empowers organizations with advanced analytics to achieve outstanding outcomes through the right use of data.
Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.
Artificial intelligence (AI) and machine learning (ML) are maturing rapidly. According to Gartner, 75% of enterprises will shift from piloting to operationalizing AI by 2024. That’s why we are expanding the AWS Machine Learning Competency to help customers identify and engage qualified AWS Partners that have deep technical expertise and proven customer success in the areas of Applied AI and Machine Learning Operations (MLOps).