What can machine learning do for my business?

ML implementation brings numerous benefits, the most significant being cost reduction due to the automation of repetitive manual tasks and an increase in operational efficiency due to augmenting human intelligence.

How do we start with machine learning?

Every ML project begins with a careful analysis of the company’s business needs, identification of the optimal technology solution, and the delivery of PoC if verification of the chosen approach/methodology is required.

How much does a machine learning solution cost?

To define the TCO of an ML solution, you should factor in: Data-related attributes (number of data sources, data type, data volume, and data quality used for ML development) ML accuracy requirements ML approach and methodology ML implementation and maintenance costs Infrastructure costs Software licensing Note that any ballpark estimates are only possible after thorough business analysis.

What engagement models do you offer?

For machine learning projects, we usually offer a dedicated team, time and material, and fixed-price engagement models.

What are the major challenges of implementing ML models?

The major challenge of implementing an ML solution is ensuring the proper quality of the ML output.

Do we need to pay for the infrastructure to train the ML model?

No, we train the ML models on our instances, you’ll need the infrastructure only for rolling out the solution post-development.

Machine Learning Experts: Our Services & ML Tech We Use