Tag: machine learning

Founded in 2013, Deliveroo works with more than 140,000 restaurants, 10,000 grocery partners and 150,000 riders, delivering meals in over 800 cities across Europe and Asia. When Deliveroo turned to Amazon Web Services (AWS) in 2017, meeting demand was a key challenge. Using AWS has allowed Deliveroo to improve service quality, reducing food delivery times by […]

After 20 years of operating its own on-premises data centers, Coca-Cola migrated to Amazon Web Services (AWS) in 2013. Earlier that year, the company’s Super Bowl commercial generated a spike in website traffic that overwhelmed its servers, catalyzing Coca-Cola’s decision to move to the cloud. Since its migration, Coca-Cola has reduced its operational costs by […]

Amazon.com is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. It’s also a hub for innovation across industries. Its continuous pipeline of launches and greenfield projects create breakthrough products, services, and practices that redefine industry standards. Customer reviews, 1-Click buying, personalized recommendations, Amazon […]

Energy data and intelligence provider TGS wanted to innovate its energy data library by implementing data visualization capabilities and improving the delivery times of its products for its customers. To handle the demand of delivering large amounts of data, TGS wanted to use Amazon Web Services (AWS) solutions that would scale to large data requests […]

Retailers and CPG brands are feeling the pressure from regulatory bodies and consumers alike for more sustainable practices. A survey found that 47% of US Gen Z consumers stopped purchasing their favorite brand after discovering it was not eco-friendly. Over a third of Forbes 2000 companies across retail, manufacturing, as well as food, beverage, and […]

“With every challenge, there’s always an opportunity,” says Garrett Byrne, Global Data and Analytics at Kellogg’s. Byrne joined CGT’s webinar, “Accelerating Next-Generation Analytics at Kellogg’s,” to discuss next-generation analytics alongside Albert Guffanti, Vice President and Group Publisher of CGT and RIS News, as well as our very own Justin Honaman, head of Worldwide Retail and […]

Financial transactions are based on trust, and consumers continue to seek easier ways of transacting and garnering greater financial inclusion for the 2 billion unbanked globally. Conversely, the acceleration of digital transformation initiatives, sustained growth in the number of internet active consumers, and advancements in web3 technologies are causing an explosion of financial transactions across […]

What would shopping look like if you could walk into a store, grab what you want, and just go? Consumers want convenient experiences. According to the 2021 Shopper Vision Study from Zebra Technologies, 60 percent of respondents state that long wait times to check out are a major concern while shopping in a store. The […]

Introduction Training medical computer vision (CV) models requires a scalable compute and storage infrastructure. Training a medical CV model is unique compared to training a CV model in other domains, as we described in the first part of this blog series. In this second post, we show you how we scale a medical semantic segmentation training […]

Introduction Computer vision (CV) and machine learning (ML) has been playing an increasingly import role in the field of medical imaging and radiology in the past decade. CV is the field that uses computers and programs to replicate human vision abilities such as recognition, classification, detection and measurement. Thanks to the advancement of deep learning […]