AI Data & Research

Google Cloud AI Services provides a comprehensive suite of APIs and tools designed to bring powerful AI capabilities to applications without requiring deep knowledge of machine learning. These services, much like Azure Cognitive Services, enable businesses to implement vision, speech, natural language processing, and translation capabilities into their applications with ease. Pre-Built AI APIs (Similar […]

Step-by-Step Guide for Microsoft Copilot Studio Open your browser and navigate to the Microsoft Copilot Studio URL https://copilotstudio.microsoft.com/. Log in using your Microsoft account credentials (company or organization). Create a New Project: On the home screen, click on the «Create» button located on the left sidebar. You will see various templates such as «Safe Travels,» «Store Operations,» «Sustainability Insights,» «Voice,» «Weather,» and «Team Navigator.» Choose a template

Amazon SageMaker is a fully managed service introduced by Amazon Web Services (AWS) in November 2017. Its purpose is to make it easier for developers and data scientists to build, train, and deploy machine learning (ML) models at scale. Before SageMaker, creating and deploying ML models required significant expertise and manual effort in setting up infrastructure,