Showing 2 open source projects for "seamless"

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  • Safety Management Platform | SafetyIQ Icon
    Safety Management Platform | SafetyIQ

    Keep your workers safe, no matter where they are

    SafetyIQ is revolutionizing the way businesses approach safety. As a leading provider of comprehensive workplace safety software, we cater to four key areas: Mobile Worker Safety, EHS (Environment, Health, and Safety), Fatigue Management, and Training. Our platform is designed to safeguard your workers, no matter their location or task, ensuring all-around safety compliance. Unlike most safety software providers that only react to incidents or implement proactive measures, SafetyIQ introduces a third pillar to safety management - predictive analytics. We transform the untapped wealth of safety data within your organization into actionable insights to inform safety strategies, mitigating risks even before they aris
  • Create state-of-the-art conversational agents with Google AI Icon
    Create state-of-the-art conversational agents with Google AI

    Using Dialogflow, you can provide new and engaging ways for users to interact with your product.

    Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
  • 1
    Amazon SageMaker Examples

    Amazon SageMaker Examples

    Jupyter notebooks that demonstrate how to build models using SageMaker

    Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies easy...
    Downloads: 0 This Week
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  • 2
    The objective of this project is to enable seamless integration between webMethods and the jasper intelligence suite. It will allow pixel perfect reporting solutions with complex data integration requirements to be developed in minutes.
    Downloads: 0 This Week
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