AWS Sample Aug 5, 2024 Chamberlain Group CG wanted to get users connected as quickly as possible and chose Amazon Rekognition. Chamberlain Group (CG) wanted to expand the number of devices connected to its myQ app for monitoring and controlling garage doors. After initial testing, CG’s myQ solution using Amazon Rekognition was in production within 1 month, and the new… Amazon Rekognition 
MongoDB Sample Archived · Aug 4, 2024 Ceto Ceto needed a more scalable and reliable way to process high-frequency vessel sensor data for predictive maritime analytics after its previous platform could not keep up with fleet growth. Each vessel is equipped with thousands of sensors, each operating at a frequency of 50–100Hz, which translates… MongoDB Atlas · Time Series Collections 
In-house Sample Aug 2, 2024 BBVA BBVA needed to help customers manage spending, savings, investments, and future outgoings with personalized guidance, while also coping with inconsistent transaction data from other banks that was too sparse for simple… 391 million interactions with these features across all the countries where BBVA is present, 49% more than in… BBVA app · Budgets · account balance prediction model 
IBM Sample Aug 2, 2024 United States Tennis Association The USTA needed to turn massive volumes of match, player and fan data into engaging digital experiences for a global audience while keeping the US Open’s app and web platforms resilient under extreme traffic spikes. 99.999% uptime during tournament play IBM Granite · IBM watsonx Orchestrate · IBM watsonx.ai 
Microsoft Sample Aug 2, 2024 Insight Enterprises Offering a unique combination of hardware, software, and services solutions at scale to its clients worldwide, Insight wanted to translate its own experiences to accelerate its clients' AI journeys. Azure OpenAI Service 
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