AWS for Industries

Category: Artificial Intelligence

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Drive Hotel Mobile Adoption with Conversations by NLX

In today’s fast-paced world, mobile adoption is critical for any industry looking to stay ahead of the competition. The hotel industry is no exception. Guests want mobile options, and the benefits of mobile adoption for hotels are tenfold. Mobile adoption means fewer calls to the front desk and concierge, freeing up staff time to perform […]

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The Retail Race: A Roadmap for Implementing a Smart Store Strategy

Retailers have always been in a race to deliver an exceptional customer experience, and in the digital age, that race has only become more intense—particularly in physical stores. With consumers shopping again at brick-and-mortar stores, some key trends have emerged: Half of retail customers intend to still use digital, mobile, self-service, and contactless technologies adopted […]

Highlights from the AWS Life Sciences Executive Symposium 2023: Accelerating Pharma Drug Discovery with ML and Generative AI

On May 15, we hosted the AWS Life Sciences Executive Symposium in Boston, where I led our track on ‘accelerating pharma drug discovery with Machine Learning (ML)’. Over 300 life sciences executives from across 100 organizations attended this half-day, in-person event to explore how they can drive innovation through robust data foundations and machine learning […]

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Revive lost revenue from bad ecommerce search using Natural Language Processing

Ecommerce sites are supposed to be prompt, precise and above all, user-friendly. Yet, their search performance history reveals an unsatisfactory reality for shoppers and retailers. According to Baymard Institute, “61% of all ecommerce sites show search results that are misaligned to users’ searches,” forcing shoppers to either enter a new search or abandon their old […]

How to manage and bill structured energy contracts on AWS

Energy companies are still using architectures based on monolithic systems when managing and billing energy service contracts. Architectures where the billing processes have been built using stored procedures inside a database are common. These architectures limit the capabilities of the business units to create, manage, and invoice contracts based on new products and services, especially […]

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The positive impact Generative AI could have for Retail

Since it was released back in November 2022, the internet has been buzzing about ChatGPT. Since then, retailers having been asking two main questions: what is it, and how will it impact my business? Let’s dive into both, staying high-level, and see if we can make sense of all the hype. What is Generative AI? […]

TC Energy innovates using AWS to improve document consistency and asset management

TC Energy operates one of North America’s largest energy infrastructure portfolios, delivering the energy that millions of people rely on to power their lives in a sustainable way. TC Energy’s portfolio includes three complimentary energy infrastructure businesses: A 93,300 km network of natural gas pipelines that supplies more than 25 percent of the daily clean-burning […]

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Top re:Invent 2022 takeaways for the advertising and marketing technology industry

There were a large number of new service announcements as well as partner and solution announcements that came out of AWS re:Invent 2022. To make it easy for advertising and marketing technology customers, we have identified a list of top announcements specific to this industry. Session summaries and access details to content on demand is […]

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CPG Partner Conversations: Lemongrass’s cloud-native approach fuels CPG companies

The COVID-19 pandemic created unprecedented disruption to businesses and global markets. Now, most of the world appears to be past the uncertainty and turbulence of the pandemic. However, companies, especially in the consumer packaged goods (CPG) industry, continue to deal with major challenges, like supply chain disruptions and labor shortages. At the same time, consumer […]

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How Machine Learning on AWS can help customers predict the risk of Automotive Part Recalls

This blog focuses on a potential method to use Long Short Term Memory (LSTM) machine learning models to help customers predict parts that are likely to become defects or recalls. Specifically, we show how predictions generated from an LSTM may provide customers with early indicators that generally out-perform existing manual processes and can help assist […]