Making informed decisions is a crucial part of running a successful business. However, it can prove to be quite challenging when dealing with large amounts of data. Therefore, it is practically impossible to process and extract meaningful insights from large data volumes using any traditional approach.
By utilizing ML and AI algorithms, Scalefocus supports businesses in their efforts to extract valuable information and usable knowledge from their data to make result-oriented decisions based on numerical evidence.
By choosing us as strategic partner, you can expect to be set up with the right uncertainty reduction tools that will provide benchmarks for monitoring actual performance. Thus you will be making plans and moving forward with your business strategy based on actual figures and predictive insights.
We will assist you in identifying items or events that do not conform to an expected pattern or to other items in a dataset that are usually undetectable by a human expert. With our help, you will eliminate such anomalies that usually translate into structural defects, errors or fraud.
Our engineers are experts in recognizing data patterns to unlock new opportunities like predictive maintenance, customer segmentation, churn prediction and minimization.
Natural Language Processing technology allows enterprises to analyze data, discover insights, automate time-consuming processes and helps them gain a competitive advantage. We have solid experience in NLP applications including sentiment analysis, chatbots, text classification and virtual assistants.
Machine Learning (ML) and Artificial Intelligence (AI) algorithms enable businesses to make faster and smarter decisions that improve their overall efficiency. These technologies empower managers to tackle complex problems that require a non-traditional approach.
Our industry know-how is in:
We have a global client base that includes Fortune 500 companies, innovative startups and industry leaders in Information Technology, E-Commerce, Insurance, Healthcare, Finance and Energy & Utilities.