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RPA, Cognitive & AI 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.


1.21GWS offers a great variety of training related to emerging technologies like Robotic Process Automation, Blockchain, Testing, DevOps, etc. For More Details,



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.
Topic Abstract

Starting with the early days of AI when many companies experimented creating "more intelligent software", the trend now is clear - AI is becoming more and more ingrained into our lives and companies are now ready to move beyond the hype into real implementations. This presentation provides an overview of the latest AI trends, their chances of being implemented fast, and what the first targeted areas expected to be adopted most widely. While glancing at the AI capabilities like advanced automation, enhanced business intelligence (new levels of understanding, reliable prediction, optimized decision making), improved human-machine integrations, etc., the session will concentrate on RPA (Robotic process automation) as a new class of software of automated business processes for eliminating time consuming, error prone manual activities, cost reduction, and new level of human-machines integrations.

Maria N. Schwenger, Pr. Director| Cloud Operations |Strategy Architect, IBM
Topic Abstract

Here is one thought... lot's of hype still around RPA with a number of customer survey's coming back from the field talking about the difficulty in scaling RPA. I offer 6-7 problems with the current approach and counter that with ways to "right the ship"...


Intro - RPA vs Reality hype, silver bullet, where are we now? RPA is having trouble scaling and I have outlined 7 core reasons where market hype is incorrectly aligned to RPA reality thereby impacting organizational success with their RPA deployments. a. 6-7 statements about RPA that we will look to debunk over the next few months in hopes of creating a more hypeless reality where the technology (RPA) is used in a way that complements an existing digital automation strategy vs serving as a silver bullet disconnected with reality.
i. Statements:
1. Hype / Expectation - Expectation #1: RPA is a "business user tool"
2. Hype / Expectation - Expectation #2: RPA start with back office automation, target Accounting, Finance, Invoicing, HR and IT processes and departments.
3. Hype / Expectation - Expectation #3: RPA is quick, cheap and easy.
4. Hype / Expectation - Expectation #4: There are endless process automation opportunities in my organization to automate with unattended robots.
5. Hype / Expectation - Expectation #5: The reason your bots are not scaling is because they are not cognitive or “AI powered”
6. Hype / Expectation - Expectation #6: RPA can be done quickly #isfast
7. Hype / Expectation - Expectation #7: All RPA bots are created equal

Scott Merritt, VP, Global Head of Automation, Jacada


Tuesday, 16 October, 2018
Topic Abstract

The RPA Hype: Do you need a huge justification for senior leaders? Why/why not? Setting Goals & Outcomes: How to pinpoint and measure your expected automation objectives Create a strong program foundation: How to complete an objective review of use cases to showcase the potential of RPA in your enterprise Organizational Change Management: How to identify ways to ease the transition from manual business processes to RPA enablement Delivering Sustainable & Scalable Results: How to ensure the program demonstrates value by demonstrating scalability on major program initiatives

Sidney Madison Prescott, Program Manager of Global Intelligent Automation (RPA, AI, ML), First Data Corporation
Topic Abstract

Many widely studied global supply chains are correctly characterized as agile and adaptive. However there is limited evidence that business improvement (BI) and Operational Excellence (OpEx) professionals have adopted artificial intelligence (AI) into contemporary supply chain management thinking. Dr. Wilkerson will share three supply chain AI case studies targeted for industrial, consumer products, and healthcare supply chains.

Speaker Profile

Dr. John Wilkerson has more than 20 years business and consulting experience for leading brands such as AT&T, Dannon, Dell Healthcare, Disney, GM, Glaxo Smith Kline, Nestle- Purina, PepsiCo, The Limited and others. Wilkerson’s doctoral dissertation focused on multi-national company business growth innovation and sustainability. Currently, his applied consumer products, fashion, and healthcare

John Wilkerson, Director Of Innovation, Bellwether Research Institute
Topic Abstract

Markets are roiling with seismic change: Macroeconomic policy, global politics, the return of volatility, Black Swan events, and a continued string of fund redemptions. Join a conversation on the market impact A.I. powered technology is making in both active and passive investment management. We'll discuss methodologies behind one fintech innovator (Trade Ideas)' process of applying data science to market analysis.

David M. Aferiat, Co-Founder & Managing Partner, Trade Ideas LLC
Topic Abstract

The three main causes of process complexity and using SIPOC to address all three. Based on review and automation of thousands of processes, three distinct patterns of the beginning state have been observed.
(1) Complexity born of variability of inputs and outputs.
(2) Complexity within the process based on number of steps and branches.
(3) Complexity born of hidden factors and human brains as the rules engine. The speaker will share examples of each, and how to use SIPOC charting to simplify the process, thus simplifying the automation and increasing its long-term viability.
This discussion could quickly lead into the roadmapping session, as roadmapping is usually a thorough set of SIPOC sessions, overlaying departent structure, headcount and risk factors.

Raun Kilgo, Director, Robotic Process Automation, Nuance Communications
Topic Abstract

My talk would be a conceptual format with real-world examples of the problems CallRail is able to solve for our customers through the use of deep learning and AI, how we constructed labeled data, how we iterated our models, how we combined in-house and outsourcing for the AI solutions we provide, and the affects our solutions have had on the customer experience.

Adam Hofman, CSPO, Product Manager, CallRail


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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register(per day)

Group of 3 or more USD 450 Registration ends on 16 October, 2018
Early Bird USD 600 Registration ends on 16 September, 2018
Standard Price USD 750 Registration ends on 16 October,2018

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Group of 3 or more USD 900 Registration ends on 15 October, 2018
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