Explore how Analytics is helping the Telecom industry uncover growth opportunities for customer acquisition, while simultaneously growing the value of existing customers.
Read MoreWhile time, cost, and efficiency have seen drastic improvement thanks to AI/ML, concerns over transparency, accountability, and inclusivity prevail. This article provides important insight into how financial institutions can maintain a sense of clarity and inclusiveness.
Read MoreUS SMBs often struggle with complex and time-consuming insurance processes, leading to underinsurance. Tiger Analytics’ AWS-powered prefill solution offers a customizable, accurate, and cost-saving approach. With 95% data accuracy, a 90% fill rate, and potential $10M annual savings, insurers can streamline underwriting, boost risk assessment, and gain a competitive edge.
Read MoreImproper commercial waste management devastates the environment, necessitating adherence to waste management protocols. Tiger Analytics’ solution for a waste management firm enhanced accuracy, efficiency, and compliance, promoting sustainable practices.
Read MoreTiger Analytics leverages ML-powered digital twins for predictive maintenance in manufacturing. By integrating sensor data and other inputs, we enable anomaly detection, forecasting, and operational insights. Our modular approach ensures scalability and self-sustainability, yielding cost-effective and efficient solutions.
Read MoreUnveil the pivotal role of machine learning in revolutionizing mental health care through advanced clinical trials. Discover how innovative AI solutions, like speech analytics, enhance the evaluation of mental health treatments, contributing to more accurate and efficient healthcare outcomes.
Read MoreExplore how machine learning elevates credit monitoring for SMEs and corporations. Delve into the use of ML models for early warning solutions, enhancing risk assessment, default prediction, and financial stability in the banking sector.
Read MoreLearn how to deploy custom Machine Learning (ML) models using AWS SageMaker and REST API. Understand the steps involved, including setting up the environment, training models, and creating endpoints for real-time predictions, as well as why to integrate ML models with REST APIs for scalable deployment.
Read MoreExamine the use of Bayesian Belief Networks for event prediction, driver analysis, and intervention assessment. Get actionable insights on the construction and practical applications of these networks in the healthcare sector – and how to enhance predictive accuracy while making data-driven decisions.
Read MoreGet to know what makes Bayesian Belief Networks (BBNs) a powerful tool in data science with an introduction to the concepts behind BBNs, their structure, applications, and benefits. Learn how BBNs use probabilistic reasoning to model complex systems and improve decision-making processes.
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