Enterprise Bot
Enterprise Bot, based in Switzerland, is a pioneer in Conversational AI, Process Automation, and Generative AI. With the trust of esteemed enterprise giants across industries like Generali, SIX, SBB, DHL, and SWICA, Enterprise Bot is revolutionizing both customer and employee experiences. Through its advanced integration with Large Language Models (LLM) such as ChatGPT and Llama 2, and its unique patent-pending DocBrain technology, the company delivers unparalleled personalization, active engagement, and omnichannel solutions across platforms like email, voice, and chat. Furthermore, Enterprise Bot integrates with existing core systems, such as SAP, CRMs, Confluence and more, and with its proprietary middleware, Blitzico, enables the AI to not only respond to queries but also take action to resolve them. This dedication to innovation in four main use case areas, Customer Support, Sales and Marketing, Knowledge Management and Digital Coworker, elevates both CX and employee productivity.
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NewOrg
NewOrg's Complete Data Management platform for non profits is designed for organizations with multiple or complex programs. From Case Management to transportation, emergency services, housing, mental health, treatment, and more. NewOrg provides new service delivery options and reduces your costs by managing all your stakeholder relationships in one solution, including Client data and encounters with HIPAA secured Video Conferencing and internal messaging, Donor/Development management, Volunteers, customized event calendars, online registration/scheduling, payment processing, e-signatures, e-mail, SMS, robust custom reporting and more.
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RapidProM
Today's Information Systems (ISs) record huge amounts of data about the business processes they support. These data can be used for process mining. This way we can analyze the operational processes within an organization based on facts rather than fiction. Examples of these processes are the handling of a loan application within a bank or the treatment of a patient within a hospital. Currently, process mining is gaining more and more attention both in industry and practice. As such, the number of process mining tools is steadily increasing. However, none of these tools allow for composing and executing analysis workflows consisting of multiple process mining algorithms. As a result, the analyst needs to perform repetitive process mining tasks manually and scientic process experiments are extremely labor intensive. To this end, we have connected RapidMiner, which allows for the definition and execution of analysis workflows, with the process mining framework ProM 6.
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