Predictive Analytics / Machine Learning.
With the help of Machine Learning Algorithms, data mining, statistical modelling we can able to analyze the past history of data and make prediction on future. Using predictive modelling, we detect the underlying patterns found in the historical and transactional data and can be used to identify risks and opportunities for the future. The science of predictive analytics can generate future insights with a significant degree of precision. With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future.
AiNxt understand the importance of predictive analytics for any organization to succeed in this competitive world. With increased competition, businesses seek an edge in bringing products and services to crowded markets. Data-driven predictive models can help companies solve long-standing problems in new ways.
We help our customers by building highly scalable and realistic predictive models and supports from data transformations till productionizing the models.
Moving to Prescriptive Analytics.
Organizations that have successfully implemented predictive analytics see prescriptive analytics as the next frontier. Predictive analytics creates an estimate of what will happen next; prescriptive analytics tells you how to react in the best way possible given the prediction. Prescriptive analytics is a branch of data analytics that uses predictive models to suggest actions to take for optimal outcomes. Prescriptive analytics relies on optimization and rules-based techniques for decision making. Our team helps in CI/CD pipelines, auto monitoring models and helps finding optimal solutions for continuous growth.