Artificial Intelligence (AI) is upending businesses by unlocking value & drastically changing operating models. Will Reliability Engineering be transformed? The data-intensive exercises of reliability testing, verification & validation, and fleet monitoring can be improved vastly by deploying AI tools. How should the AI implementation be done to get the maximum benefits? The presentation explores answers to these questions in the context of implementing a Predictive Maintenance (PdM) program where repair work is always planned & executed at optimal times. A strategic framework is needed to plan, execute, and sustain an AI program. Utilizing algorithms to predict machine failures empowers Reliability Engineers with information that they use to manage design iterations, repair work, spare parts, and production. No more reacting to failures after a breakdown resulting in huge losses; project teams will be proactive & efficient. Whether you're an Executive, an Engineer, or a Student, the talk will have key takeaways to set you up on the reliability transformation journey. Speaker(s): Arun Gowtham, Agenda: 11:00 AM Technical Presentation 11:45 AM Questions and Answers 12:00 PM Adjournment Virtual: https://events.vtools.ieee.org/m/390437

Monthly ExCom meeting for January 2024 Virtual: https://events.vtools.ieee.org/m/400689

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

Effective AI strategy is not just about adopting the latest technology; it's about ensuring that AI initiatives directly contribute to business success. This presentation will provide insights into the crucial steps required to create an AI strategy that drives tangible results. This presentation helps you learn how to create a customized AI plan that perfectly matches your specific business goals. Join us to find out how to use AI effectively and reach your desired business objectives. Speaker(s): , Dr. Raj Vayyavur, Senior IEEE Member, Chair of Computer Society - IEEE New Hampshire Room: 217, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106