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Predictive Analytics

Predicting the future to leverage changes, identify potential problems, and to seize opportunities

Today, businesses increasingly benefit from the use of data analytics to make accurate predictions, such as future equipment failures, product or resource demand, customers behavior, or to identify new markets. Modern predictive analytic methods make use of machine learning techniques, a field of Artificial Intelligence. Machine learning techniques construct models based on the past data, which are capable of predicting or recognizing data patterns and key performance indicators of interest.

We work with various prediction techniques tailored to your data and your specific requirements, we are experts in creating predictive models using AI techniques including decision trees, support vector machines, neural networks, deep learning and more. Some examples on the use of predictive analytics are churn prediction, sentiment analysis, car model detection, and price prediction. Fidelis data scientists and AI specialists analyze unique customer needs in devising the best combination of predictive analytics techniques to achieve customer goals.

Natural Language Processing and Text Analytics

Natural Language Processing (NLP), is a wide branch of AI, that deals with understanding the human language. NLP has successfully been applied to a variety of domains for a wide range of applications, question answering, automatic summarization, natural language understanding, machine translation, and more. We also provide natural language processing applications such as speech recognition, text recognition, when addressing data analytics challenges in mining unstructured and textual data.

Important business data can be found in

Text Documents

Web Pages

Email Messages

Social Networks

Text Analytics deals with converting textual data sources into actionable information through the application of Natural Language Processing (NLP). Text analytics includes information retrieval, information extraction, and text mining which is focused on discovering new and useful knowledge from the textual data sources. Fidelis has vast experience in the construction of Text Analytics applications. We can help companies improve their customer relationship management through the use of sentiment analysis, a technique used to detect favorable and unfavorable opinions toward specific products and services using the customers feedback.

Let’s work together

We are more than thrilled to work with your business. Fidelis Engineering offers a variety of services that meet your needs.

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