Global Artificial Intelligence Virtual Conference
Join two of Blueprint’s own, Gary Nakanelua and Claudiu Barbura, as we showcase our expertise in the world of AI and how leveraging this technology can be a major competitive advantage for any business handling large data sets.
About the Event
Global Big Data Conference’s vendor agnostic Global Artificial Intelligence (AI) Conference takes place Sept. 16 through 18. Due to the global pandemic, this event will be 100 percent virtual.
The event features many AI thought leaders from the industry and is acclaimed for its interactive sessions. The conference provides insights and potential solutions to address AI issues from well known experts and thought leaders through panel sessions and open Q&A sessions. Speakers will showcase successful industry vertical use cases, share development and administration tips and educate organizations about how best to leverage AI as a key component in their enterprise architecture. It will also be an excellent networking event for executives (CXO’s, VPs, directors), managers, developers, architects, administrators, data analysts, data scientists, statisticians and vendors interested in advancing, extending or implementing AI.
September 16th – 3:00 – 3:30 PM
Gary Nakanelua - Managing Director
Holographic Data Manipulation and Visualization with Apache Spark and Microsoft Hololens
In this session, we demonstrate how Apache Spark can be used to analyze massive amounts of retail video data and enable the holographic manipulation and visualization of that analysis in the Hololens. This manipulation empowers retail enterprises to get predictive insight into optimizing everything from customer experience to planogram compliance and inventory management. Key takeaways include a demonstration of holographic data visualization and manipulation of data in a retail environment and a practical look at holographic analytics visualization.
September 16th – 12:10 – 12:40 PM
Claudiu Barbura - Director of Engineering
Video analytics at scale: Deep Learning, Computer Vision, and Spark
Live demo and lessons learned building a video analytics solution in the Azure Marketplace … in 2 months! It was intense, ultra challenging and fun, with many lessons learned and a live demo I’m going to share during the presentation. This is a deep technical dive into the technology and data science employed throughout, with all challenges encountered by combining Deep Learning and Computer Vision for object detection and tracking, the engineering and operational management efforts for scaling the video processing and insights extraction to large CPU and GPU Databricks clusters and the machine learning required to detect behavioral patterns, anomalies and scene similarities across processed video tracks.