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Built with BigQuery: How to accelerate data-centric AI development with Google Cloud and Snorkel AI

In Deloitte’s annual “State of AI in the Enterprise” survey, 94% of business leaders identified AI as critical to their organizations’ success over the next five years. That survey also uncovered a 29% increase in the number of organizations struggling to achieve meaningful AI-driven business outcomes. Part of this challenge lies in the ability to …

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Giving Life to the Metaverse with 3D Avatars

They say a house is not a home if there is no one there. Well what good is an advanced virtual space without access to digital assets like 3D chatbots to interact with? 3D chatbots are the bridge between the physical and digital as it grants that human-like connection in addition to providing a more seamless, …

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This AI went camping

AI image generators have come a long way in recent years. When they first started out, they were quite bad at drawing tents. This was because they could only generate images based on the few examples that they had been given. However, they have since learned how to generalize from these examples and are now …

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Leveraging artificial intelligence and machine learning at Parsons with AWS DeepRacer

This post is co-written with Jennifer Bergstrom, Sr. Technical Director, ParsonsX. Parsons Corporation (NYSE:PSN) is a leading disruptive technology company in critical infrastructure, national defense, space, intelligence, and security markets providing solutions across the globe to help make the world safer, healthier, and more connected. Parsons provides services and capabilities across cybersecurity, missile defense, space ground …

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How Thomson Reuters built an AI platform using Amazon SageMaker to accelerate delivery of ML projects

This post is co-written by Ramdev Wudali and Kiran Mantripragada from Thomson Reuters. In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Since then, TR has achieved many more milestones as its AI …

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a …

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a …

Smart approaches to allocations in enterprise financial and operational planning

An allocation is the process of shifting overhead costs throughout an organization. One company might want to distribute costs across business units or departments. Another might want to assign costs to individual products or projects. Fundamentally, the smartest approach to allocations is about properly assigning costs to the areas that benefit from those costs. When …