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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. In this post, we explore how you can use Amazon …

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Announcing new updates to Cloud Translation AI, now covering 189 languages

Your next big customer doesn’t speak your language. In fact, 40% of global consumers won’t even consider buying from websites not in their native tongue. With 51.6% of internet users speaking languages other than English, you’re potentially missing half your market.  Until now, enterprises faced an impossible choice in addressing translation use cases. They had …

Vultures and artificial intelligence(s) as death detectors: High-tech approach for wildlife research and conservation

In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and …

In the ‘Wild West’ of AI chatbots, subtle biases related to race and caste often go unchecked

Recently, LinkedIn announced its Hiring Assistant, an artificial intelligence “agent” that performs the most repetitious parts of recruiters’ jobs—including interacting with job candidates before and after interviews. LinkedIn’s bot is the highest-profile example in a growing group of tools—such as Tombo.ai and Moonhub.ai—that deploy large language models to interact with job seekers.

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Racing into the future: How AWS DeepRacer fueled my AI and ML journey

In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). As an engineer transitioning from legacy networks to cloud technologies, I had never considered myself a developer. …