Crystal IT Consulting's 'AML' Advanced Machine Learning increases data scientists’ productivity by orders of magnitude by applying automation to the data science workflow. It offers a broad range of machine learning algorithms with industry-leading speed and scale. Moreover, data analysts, developers, and even business users with limited knowledge of data science can also build high-performing ML models as a result of its easy-to-use ML workbench. Combine this with our strong capabilities in offering next-generation services; it has enabled our clients to significantly cut down turnaround time from data to insights leading to improved decision making. Targeted marketing, lower customer churn, reduced frauds in banking transactions or optimized asset efficiency —these are just a few of the ways Nia Advanced ML opens a new world of opportunities for businesses.

Digital transformation trends have resulted in a data explosion across industries. Enterprises are increasingly leveraging Artificial Intelligence (AI) and Machine Learning (ML) to identify trends, harness insights based on data and make critical business decisions to gain a competitive advantage in the market.

Even though the data deluge is starting to transform business and everyday life, data science today is extremely labor-intensive. Building and deploying scalable ML models requires expert data scientists who are very scarce and expensive. Most often, these data scientists spend the majority of their time on repetitive tasks. As a result, ML-driven business transformation projects often get delayed and value realization becomes a challenge.

Crystal IT Consulting AML – Advanced Machine Learning platform applies automation to the data science workflow, increasing data scientist’s productivity by orders of magnitude. AML – Advanced Machine Learning workbench optimizes the most effort-intensive and critical tasks in a data science project. It partially automates the process of identification, selection and preparation of statistically viable datasets and provides interactive and extensible capabilities that allow experts as well as novices to build big data transformation pipelines. The platform automatically selects the best fit model for a given dataset and optimally tunes hyperparameters specific to an ML Algorithm.

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