AWS DeepRacer enables builders of all skill levels to upskill and get started with machine learning

By Admin 10/05/2024

AWS Machine Learning Blog In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. As more companies adopt AI solutions, there’s a growing need to upskill both technical and non-technical teams in responsibly expanding AI usage. Getting hands-on experience is […]Continue reading

Transform customer engagement with no-code LLM fine-tuning using Amazon SageMaker Canvas and SageMaker JumpStart

By Admin 10/05/2024

AWS Machine Learning Blog Fine-tuning large language models (LLMs) creates tailored customer experiences that align with a brand’s unique voice. Amazon SageMaker Canvas and Amazon SageMaker JumpStart democratize this process, offering no-code solutions and pre-trained models that enable businesses to fine-tune LLMs without deep technical expertise, helping organizations move faster with fewer technical resources. SageMaker […]Continue reading

Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

By Admin 09/05/2024

AWS Machine Learning Blog 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. […]Continue reading

Establishing an AI/ML center of excellence

By Admin 09/05/2024

AWS Machine Learning Blog 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 […]Continue reading

Build a Hugging Face text classification model in Amazon SageMaker JumpStart

By Admin 09/05/2024

AWS Machine Learning Blog Amazon SageMaker JumpStart provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types […]Continue reading

How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months

By Admin 08/05/2024

AWS Machine Learning Blog 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 (HBB) Churn Prediction Model. […]Continue reading

Amazon SageMaker now integrates with Amazon DataZone to streamline machine learning governance

By Admin 08/05/2024

AWS Machine Learning Blog 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, […]Continue reading

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

By Admin 07/05/2024

AWS Machine Learning Blog The prevalence of virtual business meetings in the corporate world, largely accelerated by the COVID-19 pandemic, is here to stay. Based on a survey conducted by American Express in 2023, 41% of business meetings are expected to take place in hybrid or virtual format by 2024. Attending multiple meetings daily and […]Continue reading

How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

By Admin 07/05/2024

AWS Machine Learning Blog This post is co-written with Tim Camara, Senior Product Manager at Veritone. Veritone is an artificial intelligence (AI) company based in Irvine, California. Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. It offers solutions for media transcription, facial […]Continue reading

Information extraction with LLMs using Amazon SageMaker JumpStart

By Admin 07/05/2024

AWS Machine Learning Blog Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. Tasks such as routing support tickets, recognizing […]Continue reading