In the past decade, it's indisputable that the fields of Machine Learning (ML) and Artificial Intelligence (AI) have advanced remarkably. Over the last 15 years, we've witnessed an explosion of ML algorithms and architectures, which have been widely adopted across various industries, including Healthcare, Vision, and Industrial Automation. The year 2023, with the advent of Generative AI, stands out as a landmark in AI's history, marking probably the most significant disruption in the past 40 years. The integration of Generative AI and Large Language Models into every facet of the technology industry signals the dawn of a new era.
In the realm of Networking and the Internet, the adoption of ML/AI has been unequivocal. Numerous products incorporating ML/AI have been developed and implemented on a large scale. These innovations address diverse needs, from detecting unusual network activities to making predictions and forecasting in a new Predictive Internet era. This has implications across multiple technologies like WiFi, Security, LAN, WAN, and the broader Internet, culminating in solutions widely utilized by customers today. The challenges encountered during the deployment years also offer valuable insights.
This talk aims to provide a comprehensive overview of how ML/AI has been applied in Networking, specifically in areas like Anomaly Detection, Predictive Networking, and Cognitive Networks. The concluding section will offer a glimpse into the future, highlighting upcoming products that incorporate Generative AI, potentially ushering in a new chapter for AI applications in Networking.
Organized by ACM
Leave your comments and questions with our speaker now and any time before the live event on (https://maestro.acm.org/trk/click?ref=z16l2snue3_2-312e4_0x340634x02317). And check out the page after the webcast for extended discussion with your peers in the computing community, as well as further resources on AI, large language models, networking, and more.
Virtual: https://events.vtools.ieee.org/m/400056
This event has passed.
