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Overview

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 October to hear from subject matter experts currently evaluating RPA for their businesses in areas such as Finance, Procurement, HR, Outsourcing, Automation, etc.

Agenda

 

Monday, 15 October, 2018
Topic Abstract

Augmenting human capability: Advances in AI Technology: Microsoft Cognitive Services is democratizing artificial intelligence by giving developers and engineers access to more than 30 easy-to-use REST APIs and Services. These APIs/Services enable natural and contextual interaction that augment users' experiences via the power of machine learning. With intelligent infrastructure and APIs, our networks and knowledge bases are constantly improving, giving your apps and devices a human side. In this session I will give a high level overview of Microsoft Cognitive Services and share real-world applications, and will finalize the presentation with a Live Demo

Ebru Evliyaoglu Akyuz, Artificial Intelligence Solution Architect, Microsoft
Topic Abstract

Work done in the constructive ways improves lives. Often a major hindrance to many forms of work done is the requirement for human supervision. A regressive analysis of the timeline for major technical developments across the globe shows that the basic goal of technology is to enable humans to perform as much as error-free, unsupervised work possible. Although sounds cutting edge, machine learning is the age old technique to model natural world phenomenons using mathematical techniques so that they be simulated virtually. Coupled with digital advancements in storage and processing, AI has the power to create a minimally supervised self-correcting information / business processes within an organization leading to reduction of Uncertainties (Entropy). In this talk we will explore such paradigms and present some cases from the largest industry sector - Construction and Infrastructure..

Speaker Profile

Santanu solves complex technology problems to enable new business value chains by managing interdisciplinary groups of talents and technologies. Santanu completed his Bachelors in Information Technology from West Bengal, India and joined the LHC project at CERN, Geneva interning through Bhaba Atomic Research Centre of India. After his successful internship at CERN, Santanu joined the PhD program at the University of Memphis and graduated in December, 2012 specializing in Wireless Sensor Networks. During his PhD tenure, Santanu published research articles in top conferences / journals such as Sensys, TOSN and Infocom and was granted a patent (AutoWitness) by the US Govt for his groundbreaking research on burglar tracking technology. After completing his education in 2012, Santanu joined the professional industry and has served as a Data Scientist for organizations like Capgemini, Accenture helping Fortune 100 organizations with their digital transformation journeys. Santanu currently serves as the R&D Director for RIB Software USA and is developing innovative technology for the construction industry using AI, ML and VR/AR paradigms. Santanu Guha, Director , RIB Americas
Topic Abstract

Thinking about enhancing your engagement with your customers by implementing innovative enterprise AI technology? We will discuss the technology and business landscape for artificial intelligence. Using our our propriety AI strategy and value realization framework, we will help answer how to measure an organization's readiness for Customer Engagement AI technology, identify gaps in current process flows, and prioritize your AI roadmap

Speaker Profile

Scot Whigham is CEO for Function-AI in Atlanta, GA and board member for AI World. He brings more than 20 years of technology industry leadership, managed services, service desk support, network/telecommunications, software development, and data center operations expertise to his role with the company. His current focus is on technology organizational strategy, digital workforce technology, and operational excellence through data analytics with the use of cognitive technology.
Scot earned an MBA from The Georgia Institute of Technology focused on strategy and analytics. He is a Six Sigma Black Belt, ITIL Practitioner, and was named Intercontinental Hotel Group CIO’s 2016 Carpe Diem award winner. He is also the winner of Technology Association of Georgia’s 2017 Excalibur and Product Launch of the Year awards. He was named by CIO Magazine as 2018's One-To-Watch award winner.

Scot Whigham, CEO , Function-AI
This will be an interactive session where participants will join a table to discuss the round table topic - Robotic Process Automation . Each table has a "Topic Guru" to facilitate the discussion.

Speakers

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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Group of 3 or more USD 299 Registration ends on 15 October, 2018
Early Bird USD 399 Registration ends on 15 September, 2018
Standard Price USD 499 Registration ends on 15 October,2018

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