Our Machine Learning consulting services division focuses specifically on machine learning algorithms and techniques. Consultants help organizations implement models that can learn from data to make predictions, recognize patterns, or optimize processes. ML is a subset of AI, so the consulting here is narrower and usually more technical, dealing with supervised, unsupervised, or reinforcement learning techniques.
Our ML consulting services involve:
- Developing custom machine learning models (e.g., for predictive analytics, and recommendations).
- Improving the performance of existing ML models.
- Assisting with data preparation, feature engineering, and model selection.
- Guiding model evaluation, tuning, and deployment.
How can machine learning help your operations?
Machine learning consulting companies can help improve your operations in a number of ways. For example, it can be used to optimize supply chain management, predict equipment failures, or improve customer service. Companies can also use machine learning to analyze data from various sources to identify patterns, trends, and insights that can be used to make better business decisions. Additionally, machine learning can be used for automation of process, which can improve efficiency, reduce costs, and increase productivity.
What We Do
Scoping & Architecture Design
First, we need to understand your value proposition or problem better. Once we determine there is a fit for Machine Learning, we will work closely together to prepare a roadmap, review the scientific literature, and determine requirements.
Data Collection & Exploration
Machine Learning needs data. If you have data needed to train the models, we will perform an exploratory analysis phase to find patterns and correlations. If you don’t, we will collect the data for you using online sources (if possible).
Model Development
We run thousands of experiments in parallel to develop a machine learning model. A model is the core of a machine learning system – trained on historical data it can predict the future trends or understand the semantics of a text.
Full-stack application development
We integrate the model with a REST API or a front-end application, developing all necessary features to access the model in an user-friendly way. Scalable and with the state-of-the-art security.
