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dimensiondata-info.json
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dimensiondata-info.json
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{ "source_code": { "documentation": "https://github.com/guillain/ServiceDeskBot/doc", "scm": "", "url": "https://github.com/guillain/ServiceDeskBot", "demo": "[email protected]", "backlog": "https://github.com/guillain/ServiceDeskBot/pulls" }, "organization": { "company": "Tontonserver", "business_unit": "Airbus" }, "project_name": "ServiceDeskBot", "version": "1.0", "development_status": "concept", "primary_contact": "Guillain sanchez", "lead_developer": "Guillain sanchez <[email protected]>", "license": "GPL-3.0", "open_to_contribution": "yes", "access": "Public (open source)", "confidentiality": "Unrestricted", "type": "Solution", "dependencies": "python 2.7, ELK, Cisco Spark, Apache WSGI", "vendors": "", "clients": "Airbus", "description": "Bot to provide support for the ServiceDesj in front of the end user.\n\nMain idea is to provide the references documents of the cutsomer via a chatbot (Cisco Spark).\nThe search engine can be on internet, Hub, CSV (cmd to load new file).\nBehind of this search, BigData is used to collect and optimize Q&A model.\n\nAdditionnaly if no success with the bot and the search engine, the bot connect the SD team with the people."}