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Establishing an AI/ML center of excellence The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study, across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. As maintained by Gartner, more than 80% of enterprises […]
https://aws.amazon.com/blogs/m....achine-learning/esta

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The company is committed […]
https://aws.amazon.com/blogs/m....achine-learning/unle

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How LotteON built dynamic A/B testing for their personalized recommendation system This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON is transforming itself into an online shopping platform that provides customers with an unprecedented shopping experience based on its in-store and online shopping expertise. Rather than simply selling the product, they create and let customers experience the product through their […]
https://aws.amazon.com/blogs/m....achine-learning/how-

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Amazon SageMaker now integrates with Amazon DataZone to streamline machine learning governance Amazon SageMaker is a fully managed machine learning (ML) service that provides a range of tools and features for building, training, and deploying ML models. Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. Today, […]
https://aws.amazon.com/blogs/m....achine-learning/amaz

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How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months The telecommunications industry is more competitive than ever before. With customers able to easily switch between providers, reducing customer churn is a crucial priority for telecom companies who want to stay ahead. To address this challenge, Dialog Axiata has pioneered a cutting-edge solution called the Home Broadband (HB Churn Prediction Model. This post explores the […]
https://aws.amazon.com/blogs/m....achine-learning/how-

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Discover the world at Altruu, The Discovery Engine