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 crucial for understanding and applying ML concepts to automate tasks like content generation, language translation, and image classification. And that’s where AWS DeepRacer comes into play—a fun and exciting way to learn ML fundamen ..read more

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 Canvas provides an intuitive point-and-click interface for business users to fine-tune LLMs without writing code. It works both with SageMaker JumpStart and Amazon Bedrock models, giving you the flex ..read more

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 platform. LotteON has been providing various forms of personalized recommendation services throughout the LotteON customer journey and across its platform, from its main page to its shopping cart and order completion pages ..read more

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 will have AI deployed by 2026. At Amazon, we believe innovation (rethink and reinvent) drives improved customer experiences and efficient processes, leading to increased productivity. Generative AI is a catalyst ..read more

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 of input data, including image, text, and tabular. This post introduces using the text classification and fill-mask models available on Hugging Face in SageMaker JumpStart for text classification on a custom dataset. We also demonstrate per ..read more

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. This post explores the intricacies of Dialog Axiata’s approach, from the meticulous creation of nearly 100 features across ­10 distinct areas and the implementation of two essential models using Amazon SageMaker: A base model powered by CatBoost ..read more

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, we are excited to announce an integration between Amazon SageMaker and Amazon DataZone to help you set up infrastructure with security controls, collaborate on machine learning (ML) projects, and govern access to data and ML assets. When sol ..read more

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 keeping track of all ongoing topics gets increasingly more difficult to manage over time. This can have a negative impact in many ways, from delayed project timelines to loss of customer trust. Writing meeting summaries is the usual remedy to overcome this challenge, but it disturbs t ..read more

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 recognition, content summarization, object detection, and other AI capabilities to solve the unique challenges professionals face across industries. Veritone began its journey with its foundational AI operating system, ai ..read more

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 customers intents from a chatbot conversation session, extracting key entities from contracts, invoices, and other type of documents, as well as analyzing customer feedback are examples of long-standing needs. What makes LLMs so transformative, however, is their ab ..read more