Category: Generative AI

Product quality control and surface defect detection in manufacturing is very important for overall product cost reduction and customer satisfaction. Simply relying on humans to visually inspect products is unsatisfactory and does not scale; today’s computer vision models require vast amounts of images data for detection of surface area defects. In today’s smart manufacturing ecosystem, […]

Half of surveyed telcos plan to integrate generative AI in the next two years and expect to increase spending by as much as six times. It’s no illusion: generative AI is everywhere. And here at AWS, we believe it’ll have a profound impact across all industries. Generative AI is the next wave of widespread adoption […]

In an era dominated by ecommerce and digital shopping trends, the traditional brick-and-mortar retail store stands at a crossroads. The rise of online shopping has redefined consumer expectations, prompting retailers to seek innovative strategies to revitalize in-store experiences. Amid this landscape, generative artificial intelligence (AI) emerges as a groundbreaking technology with the potential to reinvigorate […]

There is a long history of showcasing the beauty industry’s innovations on Amazon. Now, with generative AI, the beauty industry can explore new ways to pioneer ideas and go to market faster. Beauty’s Past The beauty industry, like many others, has undergone unprecedented change in recent years with brands scrambling to keep pace. Before 1990, […]

Over the years, retail has seen seismic shifts due to the emergence of new technologies. Examples include the barcode, ecommerce, and mobile phones, all of which had a profound impact on the way shoppers buy from retailers, resetting consumer expectations. (The same could be said for non-technical inventions like the supermarket format and malls, but […]

Merck & Co., Inc., Rahway, NJ, USA, one of the largest pharmaceutical companies in the world, has been using generative artificial intelligence (generative AI) to push the borders of data science and analytics in life sciences. Harish Nankani, Associate Vice President, Data and Analytics, Merck, and Suman Giri, Executive Director, Data Science, Merck, recently spoke […]

Over the course of the last two decades, digitalization across the energy industry has enabled new levels of operational efficiency and productivity while also helping to reduce safety risk and environmental impact. Cloud computing and the ready availability of scalable compute capacity, combined with the rapid advancement of machine learning (ML) technologies, have enabled the […]

Today, organizations are looking to harness the power of generative AI, including foundation models (FMs) and large language models (LLMs) to innovate faster to reinvent patient outcomes. While this has created a lot of hype, the adoption of these technologies in real-world drug development is still a challenge for most organizations. Amrita Sarkar, Principal Healthcare […]

Generative artificial intelligence (AI) applications like ChatGPT have captured the headlines and imagination of the public. Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. Like all AI, generative AI is powered by machine learning (ML) models—very large models (known as Large Language […]

Introduction Artificial intelligence (AI) and machine learning (ML) have been a focus for Amazon for decades, and we’ve worked to democratize ML and make it accessible to everyone who wants to use it, including more than 100,000 customers of all sizes and industries. This includes manufacturing companies who are looking beyond AI/ML to generative AI […]