AI Net Conference 2018: Towards Self Driven Networks
AI and Machine Learning are being hyped in almost every imaginable field. However, networking is lagging far behind in the development and deployment of these new techniques.
And yet AI can be effectively used in many networking areas, such as fault isolation, intrusion detection, event correlation, log analysis, capacity planning, and design optimization, just to name a few.
The AI Net conference will demonstrate that the rise of two recent paradigms: Software-Defined Networking (SDN) and Network Analytics (NA), will facilitate the adoption of these techniques in the context of network operation and control.
Moreover, cognitive network management has been widely accepted as the current orientation for an efficient, agile and automated management operations for 5G & IoT networks.
The agenda: AI for service automation and network management, Internet security monitoring, machine learning vs rule based systems, Analytics and TelemetryThe conference will gather a set of renowned experts coming from the research side (Inria, Tokyo City University, Cataluna University), from operators (BT, Orange, Expedia) industrials (Juniper Networks, Nokia, Huawei, Cisco, Aria Networks) and software companies (HPe, Brocade, CA).
The agenda will address the following sessions:
- Requirements and Expectations for Network AI
- Telemetry, Data streaming, and Data Warehouse
- Machine Learning and AI for Network Analytics
- AI for network automation and service design
- Machine Learning techniques
- Security applications and Prediction
- Field trial, Production Network Experience
- AI and IoT, 5G
Finally, the agenda will include a constructive and informational debate on « Machine learning versus rule-based systems ».
Imen Grida Ben Yahia
Dr. Kim Larsen
Victor Muntés Mulero