Robotic Process Automation (RPA) technology is the next frontier for businesses looking to streamline processes, increase productivity and ultimately improve the bottom-line.
RPA typically uses artificial intelligence to handle repetitive, rules-based, back-office tasks. And the market is about to experience a period of "explosive" growth.
The RPA market grew 64 percent to $200 million last year and is expected to grow 70 to 90 percent by 2018 because successful pilot projects are inspiring buyer confidence in the technology, the consulting and research firm reports.
However, there are some barriers to adoption, such as IT departments concerned about data security and loss of control. Plus, replacing staff with robots in some sectors, such as government, could become a political minefield.
Join us at RPA Summit in September to hear from subject matter experts currently evaluating RPA for their businesses in areas such as Finance, Procurement, HR, Outsourcing, Automation, etc.
The future world, not too far from our real life, would be full of autonomous robots: autonomous taxis, autonomous delivery vans, or even, autonomous chairs. One fundamental problem with robots being autonomous, is that, every robot needs to know
(1) where am I?
(2) Where am going?
(3) How do I get there? HERE Technologies, the global leading Open Location Platform company, is using Artificial Intelligence (AI), together with business partners, to speed up the building of a global coverage, high-definition, high refresh rate, content rich map, that enable the autonomous world and future location-based businesses.
Dr. Xiang Ma is currently manager of engineering in Highly Automated Driving, at HERE Technologies, a global leader for open location platform and high definition map for autonomous driving.
He has extensive experience and knowledge in autonomous driving, computer vision, deep learning, artificial intelligence and machine learning algorithms as well as how to apply them in commercial software products, as well as customer engagement/collaboration, those includes BMW, Audi, Daimler, Denso, Toyota, NavInfo, Ford etc.
The AI solutions and pipelines he created can scale to thousands of instances in the cloud and produce continental coverage of product (e.g. entire North America or West Europe) in a short period of time. He has over 15 years industry and academic experiences in computer vision, image and video processing, machine learning involving 2D and 3D data such as images, videos, Lidar Point cloud, GPS, IMU, vehicle sensors etc. He has worked in various companies including intuVision, Siemens, KMI before joining HERE.
He has won the 2014 Nokia HERE Hackweek Global Top Award - "Best in Class", "People's Choice", as well as 2013 Nokia HERE Chicago Sensor Hackathon "Overall Implemenation" Award, and 2013 Nokia HERE Hackweek "Most Patentable" Global Award. His team also won the 3 top places in 2012 CVPR Change Detection Challenge Competition.
Dr. Xiang Ma obtained his B.S. degree in Electronic Information Science and Technology in 2005 from the University of Science and Technologies of China (USTC), M.S. and Ph.D. degree in Electrical and Computer Engineering in 2009 from the University of Illinois at Chicago (UIC), respectively. He served as reviewers for IEEE Trans. on Image Processing (2007-2009), IEEE Trans. on Circuits and Systems for Video Technology (2007-2009), IEEE ICIP (2007-2012), IEEE ICASSP (2007-2012) and invited guest reviewer for IEEE. Trans on Pattern Analysis and Machine Intelligence (T-PAMI). He has 20+ Internationally referred publications such as IEEE Trans. on Image Processing (T-IP), IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), IEEE ICIP, ICME, ICASSP, SPIE, VCIP and TRECVID. He has also over 10 US and EU patents and most of them are in the field of autonomous driving and high definition map creation.
Non-contact inspection, particularly with 3D scanning can be very powerful improving both in-lab quality control (e.g. CMM) or in-line inspection. However, lack of RPA limits the ROI of such measurement process. This presentation will discussSpeaker profile
Mingu Kang is the CEO and Co-Founder of ARIS Technology, a US-based company that offers fully automated robotic inspection systems using 3D scanning technology. Prior to ARIS, he was a strategy consultant at Avondale Strategic Partners, driving Avondale to be named Inc.'s "fastest growing strategic advisory firm" in '11 & '12. Back in 2012.Mingu Kang, CEO, ARIS Technology
In today's world of Amazon and Alibaba, traditional retail brands need to embrace RPA to compete. Brands can use RPA to enhance their services and create a more personalized customer experience, while creating happier, more productive employees who produce better work. This presentation will go through recently implemented examples for each component of the brand ecosystem (Brand, Consumer, and Worker) and recommendations for implementation in today's world of data "insecurity".Speaker Profile
Danni Bayn has been a passionate proponent of Automation and has been actively creating automated processes, both personally and professionally, for 20 years. Currently, she is leading the RPA initiative at FCB Chicago, to increase organizational efficiency and to bring greater value to clients across the agency. Since 2006, she has published and presented her work in automation at various conferences across the US.Danni Bayn, Director of Strategic Analytics at FCB Chicago
The RPA Conferences features insightful talks by recognized thought-leaders addressing the actual developments and trends in RPA. Discussions and presentations by a variety of speakers at a series of past and upcoming events elucidate solution based details that will help you face RPA challenges with confidence. You will find a mix of speakers from diverse organizations sharing their real experiences and expert insights with the event participants.
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