LightOn Integrations

Digitize your workflows - they'll love you for it. Your company can be more productive and your people more engaged. ServiceNow makes work, work better for people. Transform old, manual ways of working into modern digital workflows, so employees and customers get what they need, when they need it—fast, simple, easy. ServiceNow delivers digital workflows that create great experiences and unlock productivity for employees and the enterprise. We simplify the complexity of work on a single, enterprise cloud platform. The Now Platform: The intelligent and intuitive cloud platform for work. Choose from our workflows or build your own apps. Built on the Now Platform, our product portfolio delivers the  IT,  Employee, and  Customer Workflows that matter with enterprise solutions to help drive every part of your digital transformation. Create the great experiences you want and unlock the productivity you need, now with native mobile capabilities for everyday work across the enterprise.

Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.

SQL is a domain-specific programming language used for accessing, managing, and manipulating relational databases and relational database management systems.

Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.