Insights from global conversations
We are sharing what we learned from our conversations across 22 countries, and how we will be incorporating those insights moving forward.
AI in recruitment
Building an efficient and effective recruitment process is especially relevant in tight or competitive job markets. According to the U.S. Chamber of Commerce, there were more than 10 million job openings in the spring of 2023, but only 5.7 million unemployed workers in the U.S. That puts workers at an advantage, allowing them to negotiate …
Democratize computer vision defect detection for manufacturing quality using no-code machine learning with Amazon SageMaker Canvas
Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and company reputation. Quality inspection on the production line is crucial for maintaining quality standards. In many cases, human visual inspection is used to assess the quality and detect defects, which can …
What is asset reliability?
When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. To be successful, businesses need to have clear, real-time visibility into the condition of their assets and a plan to keep them running smoothly and make repairs quickly when things break. Enterprises are …
Announcing the first Machine Unlearning Challenge
Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive retrieval systems to language models that can hold human-like conversations. While this progress is very exciting, the widespread use of deep neural network models requires …
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Recommend and dynamically filter items based on user context in Amazon Personalize
Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can be many: transform the user experience, generate meaningful interaction, and drive content consumption. Some of these solutions use common machine learning (ML) models built on historical interaction patterns, user demographic attributes, …
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Of barks and bots: Woof revolutionizes pet care with AI chatbot powered by Google Cloud
As pet owners, we all want to make sure our pets are happy and healthy. But with so many different products and services competing for our attention, it can be overwhelming to decide which ones are best. That’s whereWoof comes in. We are on a mission to revolutionize the pet industry by providing the best …
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5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair
*=Equal Contributors Providing voice assistants the ability to navigate multi-turn conversations is a challenging problem. Handling multi-turn interactions requires the system to understand various conversational use-cases, such as steering, intent carryover, disfluencies, entity carryover, and repair. The complexity of this problem is compounded by the fact that these use-cases mix with each other, often appearing …
Introducing OpenAI London
We are excited to announce OpenAI’s first international expansion with a new office in London, United Kingdom.
What is slow productivity?
Slow productivity can be defined as working at a slower pace on fewer tasks at a time to increase workplace productivity and satisfaction. The trend toward slow productivity is for businesses and employees to rethink what productivity looks like and create an environment where quality of work is emphasized over quantity of work. In his …