AWS for Industries

Category: Generative AI

Title Card: Reimagining the customer experience with generative AI _Part 1

Reimagining the customer experience with generative AI – part 1

The hype for generative AI Generative artificial intelligence (AI) has been a headline topic worldwide since at least March 2023. Whether you’ve marveled at the humanlike responses of chatbots, or the millions of images, video, and music produced on demand by these tools in the blink of an eye, it’s clear that generative AI has […]

Executive Conversations: Generative AI for responsible innovation in pharma commercialization

EVERSANA is a leading provider of commercial services to the life sciences industry. The organization is building generative artificial intelligence (AI) applications to help pharmaceutical organizations drive efficiencies and business value while improving patient outcomes. Scott Synder, chief digital officer at EVERSANA, recently spoke to Ujjwal Ratan, data science and ML leader for healthcare and […]

Using AWS generative AI to improve defect detection in Manufacturing

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, […]

Survey: Adoption, Barriers, and the Future of Generative AI in the Telco Industry thumbnail

Survey: Adoption, Barriers, and the Future of Generative AI in the Telco Industry

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 […]

Generative AI The Catalyst for Revolutionizing Physical Retail feature card

Generative AI: The Catalyst for Revolutionizing Physical Retail

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 […]

Next Big Things for Retail – Generative AI leads the pack but isn’t alone

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 […]

Executive Conversations: The promise of generative AI for the commercial pharma value chain

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 […]

Rethinking Energy with Generative AI

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 […]

Executive Conversations with Nosis Bio and Vevo: Using Generative AI on AWS to Shift the Pharmaceutical R&D Paradigm

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 […]