Mactores Cognition, Inc. announced today that it had achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Mactores for providing solutions or services that help data scientists and machine learning practitioners prepare and/or annotate their enterprise data to train a predictive model.
Achieving the AWS ML Competency differentiates Mactores as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable machine learning and data science workflows, or offer SaaS/API-based capabilities that enhance end applications with machine intelligence. Attaining the AWS ML Competency demonstrates to our customers that Mactores has validated expertise in AI and ML experience on AWS.
“Achieving the AWS Machine Learning Competency has been an incredible journey. The field of ML is so vast with endless possibilities, we took the time to develop our expertise in areas driven by our customer challenges with the focus on solving their mission-critical business challenge. Our customers are leveraging ML capabilities that include computer vision, machine comprehension, forecasting, and robotic process automation, so these are the use cases we leveraged to secure our AWS Machine Learning Competency.” said Bal Heroor, CEO.
AWS enables scalable, flexible, and cost-effective solutions from startups to global enterprises. To support these solutions' seamless integration and deployment, AWS established the AWS Partner Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.
Mactores offers a variety of ML solutions, including cross-channel personalization for content distributors, customer life-cycle engagement and orchestration, revenue forecast for subscription-based services, order prediction for enhanced customer experience, and serverless ML pipelines for advanced data science teams and workload analytics for many different Industries.
“We were able to optimize and confidently re-architect the HPC Cluster for better resource utilization, enhanced job performance, improve the throughput of one of our largest EDA clusters by up to 40% and improve queue contention related to jobs having lesser ‘wait/pending’ times using smart queues. The AI-driven forecasting model will help us predict future resource requirements and accelerate our cloud journey.” – said Michael Brooker, CIO at Synaptics.
To read the Synaptics case study, please click here.
AWS enables scalable, flexible, and cost-effective solutions from startups to global enterprises. To support these solutions' seamless integration and deployment, AWS established the AWS Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.