Interfacing Enterprise Process Center (EPC)
Interfacing's Digital Twin Organization software offers transparency and governance to improve quality, efficiency, and ensure regulatory compliance.
A single platform allows you to map, analyze, and automate your processes, manage regulatory compliance, and assess risks. Interfacing's digital twin solution (Enterprise Process Center-EPC) is an enterprise management platform that allows companies to digitally transform their processes. It helps them streamline operations, improve productivity, and make things more efficient.
Interfacing's digital platform - Rapid Application Development Tools (RAD) Tools, with its Low Code Development methodology, will optimize your technical resources and maximize transparency to allow for continuous improvement.
Discover how our Low-Code Rapid Application Development module gives you all the tools needed to create and deploy custom, scalable, secure, mobile-ready applications in days vs. months!
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Square 9
The Square 9 AI-powered intelligent information processing platform takes the paper out of work and makes it easier to get things done with digital workflows that automate many aspects of how you work today. We make it easy by extracting information from scans or PDFs, storing documents in a searchable archive, and building digital twins of your current processes through graphical workflows.
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reDock
reDock uses AI/machine learning to automate content search tasks. This allows anyone on your team to find relevant information without SME chasing, or drowning in irrelevant results. You can quickly find the most relevant information from all your data repositories, software systems, and help your team win more RFPs, get more projects, increase revenue, and grow your business.
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Google Cloud Natural Language API
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
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