BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20200308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20191103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20200214T174022Z UID:524E3FB8-A22F-499A-AEE3-E106EEF00642 DTSTART;TZID=US/Eastern:20200217T080000 DTEND;TZID=US/Eastern:20200217T180000 DESCRIPTION:Artificial Intelligence (AI) and Machine Learning (ML) are bein g increasingly leveraged in Communication Networks and Clouds for a variet y of use cases. In Networks\, whether wired or wireless\, packet or optica l\, data center or transport\, fixed access or mobile access\, edge or cor e network deployment\, AI and ML are being used for network planning\, pro visioning\, optimization\, fault prediction\, security\, automation of net work operations\, fraud detection\, lowering operating costs\, and improvi ng both the quality of service and customer experience based on chatbots\, recommender systems\, and techniques such as Robotic Process Automation ( RPA). Further\, AI and ML are being used across all layers of network stac k - physical layer to the application layer to fine-tune performance.\n\nI n Cloud\, whether public\, private or hybrid\, edge or core deployments\, AI and ML are being used for optimizing use of system resources\, autoscal ing\, anomaly detection\, predictive analytics\, prescriptive policies\, a nd so on. Further\, AI and ML workloads employ acceleration technologies f or distributed and edge processing to support federated and distributed le arning.\n\nBesides network and cloud infrastructure\, AI/ML is also being used for customer experience management and business support systems.\n\nI n all the above cases\, aspects of data pipeline management\, model traini ng\, model validation\, model deployment and life cycle management includi ng model libraries and model update/upgrade in service are also considered .\n\nMotivated by this progress and to further advance discussions\, IEEE Workshop on AI/ML in Networks and Cloud is bringing together leading exper ts from telecom service providers\, cable service providers\, mobile servi ce providers\, system OEMs\, software service providers\, silicon vendors\ , open source network automation projects as well as leading researchers f rom academia to share their perspectives on opportunities and challenges t o the operation of Networks and Clouds of the Future using AI/ML.\n\nThis single-day workshop is being co-sponsored by the IEEE Communications Socie ty and the IEEE Princeton Central Jersey Section. This workshop will provi de a unique forum for practitioners and researchers to share perspectives on recent developments\, evolving landscape of AI/ML technologies\, deploy ment use cases in various network and cloud scenarios and business benefit s. Architects\, Developers\, Engineers\, Testers\, and Business Leaders as well as Students and Researchers from academia will surely find it useful to listen and have an opportunity to network with experts and innovators from industry and academia.\n\nBldg: Rutgers University Inn and Conference Center\, 178 Ryders Lane\, New Brunswick\, New Jersey\, United States\, 0 8901 LOCATION:Bldg: Rutgers University Inn and Conference Center\, 178 Ryders La ne\, New Brunswick\, New Jersey\, United States\, 08901 ORGANIZER:Deepak.Kataria@ip-junction.com SEQUENCE:14 SUMMARY:IEEE Workshop on AI/ML in Networks and Cloud URL;VALUE=URI:https://events.vtools.ieee.org/m/217130 X-ALT-DESC:Description: <br /><p align="justify">Artificial Intelligence (A I) and Machine Learning (ML) are being increasingly leveraged in Communica tion Networks and Clouds for a variety of use cases. In Networks\, whether wired or wireless\, packet or optical\, data center or transport\, fixed access or mobile access\, edge or core network deployment\, AI and ML are being used for network planning\, provisioning\, optimization\, fault pred iction\, security\, automation of network operations\, fraud detection\, l owering operating costs\, and improving both the quality of service and cu stomer experience based on chatbots\, recommender systems\, and techniques such as Robotic Process Automation (RPA). Further\, AI and ML are being u sed across all layers of network stack - physical layer to the application layer to fine-tune performance.</p>\n<p align="justify">In Cloud\, whethe r public\, private or hybrid\, edge or core deployments\, AI and ML are be ing used for optimizing use of system resources\, autoscaling\, anomaly de tection\, predictive analytics\, prescriptive policies\, and so on. Furthe r\, AI and ML workloads employ acceleration technologies for distributed a nd edge processing to support federated and distributed learning.</p>\n<p align="justify">Besides network and cloud infrastructure\, AI/ML is also b eing used for customer experience management and business support systems. </p>\n<p align="justify">In all the above cases\, aspects of data pipeline management\, model training\, model validation\, model deployment and lif e cycle management including model libraries and model update/upgrade in s ervice are also considered.</p>\n<p align="justify">Motivated by this prog ress and to further advance discussions\, IEEE Workshop on AI/ML in Networ ks and Cloud is bringing together leading experts from telecom service pro viders\, cable service providers\, mobile service providers\, system OEMs\ , software service providers\, silicon vendors\, open source network autom ation projects as well as leading researchers from academia to share their perspectives on opportunities and challenges to the operation of Networks and Clouds of the Future using AI/ML.</p>\n<p align="justify">This single -day workshop is being co-sponsored by the IEEE Communications Society and the IEEE Princeton Central Jersey Section. This workshop will provide a u nique forum for practitioners and researchers to share perspectives on rec ent developments\, evolving landscape of AI/ML technologies\, deployment u se cases in various network and cloud scenarios and business benefits. Arc hitects\, Developers\, Engineers\, Testers\, and Business Leaders as well as Students and Researchers from academia will surely find it useful to li sten and have an opportunity to network with experts and innovators from i ndustry and academia.</p> END:VEVENT END:VCALENDAR