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О докладе
Organizations are continually seeking to realize the full potential of IoT. In this session, we will explore how a major Industrial IoT company is leveraging AI technologies such as machine learning and computer vision to address some of their biggest IoT challenges. We will also explore key findings from a groundbreaking global study revealing the impact of the Artificial Intelligence of Things (AIoT) on companies like yours.
01:50 AI and IoT
06:08 Competitive advantages
09:11 AI for IoT
13:37 Augmenting IoT rules with AI
16:35 Computer vision and IoT
19:00 In-line machine vision
23:30 End-to-end AI application
О спикерах
As the director of the global IoT practice at SAS, Bill is an evangelist for analytics and the IoT – promoting the importance of a robust analytics lifecycle to drive valuable outcomes in IoT initiatives across industries. Bill and his team play an important role in growing SAS relevance and revenue related to IoT. His team works closely with product management and R&D to ensure technology and solutions meet key market needs, while directly supporting marketing and the field sales organization with domain expertise, enablement, and thought leadership activities. Bill joined SAS in 1996 and has held the Global Client Executive position for DaimlerChrysler, helped establish and lead the SAS Automotive Practice, and contributed to the development and success of SAS Supply Chain solutions across Demand, Quality, and Aftermarket Service. Most recently he lead a global manufacturing practice. Prior to joining SAS, Bill worked with public sector entities, supporting key technology capabilities around finance, HR, public works, and public safety. He holds a bachelor’s degree from Michigan State University and lives in Cary, NC.
Перейти в профильJuthika Khargharia, Ph.D is a Principal Solutions Architect working for SAS’ Internet of Things Division specializing in machine learning, deep learning and artificial intelligence. In her role, she assists customers in defining their business problems and uses SAS advanced analytics solutions to help them reach their business goals and objectives. Juthika holds a Ph.D. in Astrophysics from the University of Colorado. Her Ph.D. research work consisted of designing observations, collecting and analyzing low signal-to-noise image data obtained from ground based telescopes to determine black hole masses in our Galaxy.
Перейти в профильWelcome. Can I happy to be part of IoT Slam X 2019 and we are going to take you through a short journey through a survey that we did earlier this year on the state of AI and IoT as well. As some case studies that we think are relevant to the findings of the survey will go ahead and we'll just get started now. All right, so you'll forever so mad at I'm now three-four years. We've been talking about half the value for IoT go squarely through analytics and what you see on the screen here just a couple examples of things recent things that have been written in Forbes. I know she will give rise
to artificial intelligence to talking about, you know, the ability to use to stay to see how to solve problems of the talk about the rise of intelligent Automation and Edge Computing and then wired coyote won't work without artificial intelligence and they're really talking here about the ability to leverage this new Treasure Trove of data to predict accidents and crimes or help doctors provide real-time health information back of patients. Protocol communications for self-driving cars and some of the big things are going on
with communities are communities and in society, right? I like the fact that these quotes are talking back to each other. We're looking at this opportunity around IoT and know the role that Ai and analytics are going to play in these as individual markets have been growing for a long time. Everybody always says that I would she is not new and it certainly isn't I think we would all agree that
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