Category: FAANG

Posted by Donald Martin, Jr., Technical Program Manager, Head of Societal Context Understanding Tools and Solutions (SCOUTS), Google Research AI-related products and technologies are constructed and deployed in a societal context: that is, a dynamic and complex collection of social, cultural, historical, political and economic circumstances. Because societal contexts by nature are dynamic, complex, non-linear, …

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This is a guest post by Mario Namtao Shianti Larcher, Head of Computer Vision at Enel. Enel, which started as Italy’s national entity for electricity, is today a multinational company present in 32 countries and the first private network operator in the world with 74 million users. It is also recognized as the first renewables …

Read more “Enel automates large-scale power grid asset management and anomaly detection using Amazon SageMaker”

Large language models (LLMs) can be used to analyze complex documents and provide summaries and answers to questions. The post Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data describes how to fine-tune an LLM using your own dataset. Once you have a solid LLM, you’ll want to expose that LLM to …

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Time-series forecasting is one of the most important models across a variety of industries, such as retail, telecom, entertainment, manufacturing. It serves many use cases such as forecasting revenues, predicting inventory levels and many others. It’s no surprise that time series is one of the most popular models in BigQuery ML. Defining holidays is important …

Read more “How to use custom holidays for time-series forecasting in BigQuery ML”

Posted by Daniel McDuff, Staff Research Scientist, and Yuzhe Yang, Student Researcher, Google Learning from periodic data (signals that repeat, such as a heart beat or the daily temperature changes on Earth’s surface) is crucial for many real-world applications, from monitoring weather systems to detecting vital signs. For example, in the environmental remote sensing domain, …

Read more “SimPer: Simple self-supervised learning of periodic targets”

Amazon Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems for applications such as Amazon Connect. Artificial intelligence (AI) and machine learning (ML) have been a focus for Amazon for over 20 years, and many of the capabilities that customers use …

Read more “Enhance Amazon Lex with conversational FAQ features using LLMs”