IoT Slam Live 2023: June 21-22

Dear IoT Community members! The IoT Slam Live 2023 conference commences June 21-22, at the beautiful SAS campus in Cary, North Carolina, USA. We are thrilled to announce our agenda is now live and we are excited to return to the R.T.P. area for our annual meeting of the brightest minds. If you would like to attend this exclusive in-person event (at no cost), please register your interest today and we will follow up with you to confirm your place.

Register for live event here:

Due to limited availability we have set up a waiting list so you can register your expression of interest to attend the in-person event. We will review each application and revert back to confirm your place (space permitting).

How awesome is IoT Slam? Check out this short video from last year's event.

Featured Speakers and Sessions:

Abstract: In this session, thought leaders will explore real-world use cases focused on transforming Transportation and Smart Cities. Join us to learn how Artificial Intelligence (AI), Internet of Things (IoT), and Computer Vision (CV) play a pivotal role in this transformation. Panelists include industry experts from Kavi Global, Town of Cary, and SAS.

Abstract: As the world becomes increasingly connected and data-driven, the convergence of edge computing and artificial intelligence (AI) is transforming industries and unlocking new possibilities. This panel session brings together experts to explore the synergy of edge computing and AI, focusing on real-world use cases and applications. The panelists will discuss how edge computing, with its ability to process data closer to the source, combined with AI capabilities such as machine learning and deep learning, can enable advanced analytics, automation, and decision-making at the edge. Join us to delve into the latest trends, challenges, and opportunities in harnessing the power of edge computing and AI for various domains including energy, transportation, and manufacturing.

Abstract: The ongoing evolution of technology is accelerated/exacerbated by the decentralization of enterprise computing and the imminent emergence of distributed business models in the mainstream corporate world. This is most evident when architecting, designing, deploying, and maintaining the technologies requisite for assuring Trust/Privacy/Security in IoT/Edge processing with massive numbers of devices and virtual entities interacting using automated decision processes. Our panel of experts will explore various dimensions and concrete examples of how trust for IoT systems differs and is exponentially more complex when compared to traditional enterprise systems. Now we have the emergence (and rapid adoption) of Generative AI (ChatGPT, etc.). We therefore explore how it relates to current digital access management and trust methods, and specifically how both generative and predictive AI models can combine with digital identity models to improve the outlook for trust protocols for IoT interactions/transactions. We will also consider the potential for AI to erode digital trust as more tools become available for exploitation by those with malicious intent. We will finally consider the issue of trust for the AI models themselves, and how those models can be affected by bad data used for training. The answer to the problem includes trust management methods that assure the provenance and authenticity of training data.

Abstract: The ongoing evolution of technology is accelerated/exacerbated by the decentralization of enterprise computing and the imminent emergence of distributed business models in the mainstream corporate world. This is most evident when architecting, designing, deploying, and maintaining the technologies requisite for assuring Trust/Privacy/Security in IoT/Edge processing with massive numbers of devices and virtual entities interacting using automated decision processes. Our panel of experts will explore various dimensions and concrete examples of how trust for IoT systems differs and is exponentially more complex when compared to traditional enterprise systems. Now we have the emergence (and rapid adoption) of Generative AI (ChatGPT, etc.). We therefore explore how it relates to current digital access management and trust methods, and specifically how both generative and predictive AI models can combine with digital identity models to improve the outlook for trust protocols for IoT interactions/transactions. We will also consider the potential for AI to erode digital trust as more tools become available for exploitation by those with malicious intent. We will finally consider the issue of trust for the AI models themselves, and how those models can be affected by bad data used for training. The answer to the problem includes trust management methods that assure the provenance and authenticity of training data.

Abstract: Even though we are only two decades into the 21st century, we need to start planning our global energy needs for the 22nd century. Tectonic shifts are happening right now in the electrical grid as we move from coal to LNG to a hybrid combination of nuclear and renewables. Today, Duke Energy is rethinking the entire system including electricity generation, long distance transmission, local distribution even to the consumption in our homes. But to get there, we must establish a data layer foundation throughout all aspects of the grid which Industrial IoT is key. Our grid needs to evolve from a passive system to one that is actively measured, monitored and orchestrated using advanced capabilities promised by the rise of connectivity and AI/ML. Join Duke Energy and SoftServe as they share a vision for the future electrical grid and the steps we are taking today using Industrial IoT and AI/ML to realize that vision as we march steadily to the 22nd century.

See the full agenda:

See the speaker line-up:

Register for virtual access via Linkedin Live:

Day 1 Part 1:

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Day 2 Part 1:

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