we engineer innovative products to solve line of business friction points
Augusta Hitech strongly believes that Machine Learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses.
We help our clients to find and capture hidden value from data through a unique blend of business acumen, Machine Learning.
Augusta Hitech is a leading company in Northern America when it comes to cutting-edge Machine Learning and cognitive computing expertise. We can help you boost services and outperform the competition with the power of AI.
Why use AI and Machine Learning?
For a wide array of tasks, Machine Learning is superior to traditional software designs. It stands behind state-of-the-art search engines, real-time data science, digital security, artificial intelligence software and more.
Explore our AI & Machine Learning expertise
Machine Learning systems process and analyze enormous amounts of data without explicit programming. They scrutinize previous experience and improve performance on the fly.
We write Machine Learning algorithms with Python and R and use multiple additional frameworks and libraries such as Google Tensor Flow, Microsoft Azure Machine Learning and more.
Augusta Hitech experts have rigid hands-on knowledge of developing self-taught software for Healthcare, Information and Content Management, Manufacturing, Sales, Logistics and more.
Machine Learning - Taxonomy
AI AND MACHINE LEARNING - FUNCTIONAL AREAS
Data collection, Data Preparation
Sample Selection, Identify Patterns, Training the datasets.
Analyze and select structures inherent in your data
Design data model, clustering and training algorithms
Where a set of training data is assigned to a model in order to make reliable predictions on new or untrained data
Where models are evaluated based on performance and efficacy
where the processed and trained data is forwarded for use in the execution of ML routines (such as experimentation, testing and tuning)
Deploying business-usable results of the ML process — such as models or insights to enterprise applications, systems or data stores (for example, for reporting)
AUGUSTA'S AI AND MACHINE LEARNING LIFE cycle
CONTINUOUS LEARNING CONTROL FRAMEWORK
Development life cycles supports
Collaboration for heterogeneous teams and technologies
Monitoring of ML models with statistical analysis capabilities
Reusability of ML models for rapid development
Interoperability between different analytic platforms and ML frameworks
AI and Machine Learning Landscape
- Yield Management
- Sonic AI for heavy industrial machines