Why Machine Learning Matters?
Machine learning consulting empowers your data analysis with analytical algorithms. Learning from data enables artificial intelligence to make data-driven predictions without human intervention
Machine Learning helps solve complex data challenges
Enhance translation, speech recognition, relationship extraction, sentiment analysis, and topic segmentation
Process the unlimited amount of images to detect specific objects and classify images by topic groups or by features
Secure your enterprise through ML fraud detection capability; prevent and manage fraud efficiently
Know your customers and their next move, create personalized experiences to drive loyalty and greater profits
Benefits of Machine Learning
More Accurate Predictions & Insights
Get an edge over your competition by utilizing the power of more accurate predictions and business insights you get from data
Faster Time-to-Market for Next-Gen Products
Secure your niche by building and releasing cutting-edge applications and products faster
Better Understanding of Customer Behavior
Gain insights into customer behavior to customize your products, improve user experience, and increase customer satisfaction
Improved Efficiency & Cost Reduction
Reduce operational costs by improving the performance of your team; improve your product’s performance using ML
Squadex is an AWS Consulting Partner with proven expertise in building machine learning solutions powered by AWS. Our goal is to help businesses overcome their data challenges and achieve their goals by enabling the machine learning capabilities.
Machine Learning on AWS
Machine Learning Development Cycle
Audit & Strategy
Assess your technical challenges and objectives to determine if the ML solution should be applied. Outline a technical roadmap for achieving the desired state
Research & Development
Research your problem and explore data sets from different sources to design the ML model blueprint and build a Proof of Concept to validate the solution
Cloud Services
Assess cloud architecture and choose the right combination of AWS products and tools to seamlessly integrate them into both infrastructure and the ML solution
Deploy & Scale
Utilize datasets from different sources to test the ML model. Fine-tune the ML algorithms based on results. Roll out the ML model in production at full scale