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.
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 DemoEbru Evliyaoglu Akyuz, Artificial Intelligence Solution Architect, Microsoft
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 roadmapSpeaker 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.
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, VP at Honeywell
$3B valuations on <$100M in revenue, marketing videos of people building RPA solutions while riding in race cars, suspended from cranes or while doing flips in an airplane… enough is enough. All this hype is grabbing headlines but what should grab your attention is the results of four recent VOC RPA surveys… all in agreement on one frequently overlooked red flag, RPA is not scaling. But before you throw out the robot with the bath water, there is still time to use lessons learned from early adopters to increase the effectiveness of your own RPA enterprise deployment.
In this talk, we will explore 6 common missteps when it comes to building an enterprise RPA strategy with the 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.
Rules-based RPA cannot process variable unstructured data, which comprises more than 90% of the data in a typical enterprise - this has left data-intensive industries like banking, insurance and healthcare unfulfilled by RPA.
Imagine using AI to empower your robots so they can not only perform standard tasks, but can also think and adapt. Integrating AI technologies can take automation to the next level by bringing about human-like responses in RPA workflows, helping bridge the gap between human and machine interactions. Natural language understanding (NLU) learns and augments human intelligence with clean, normalized data. Machine Learning improves productivity by finding new patterns across multiple datasets. Conversational AI transforms the business model and improves customer experience. Computer Vision provides intelligence in key processes. And Deep Learning shines a light on dark data to help achieve predictive insights.
This isn't futuristic, it's happening today. Join us in this session to learn how enterprises can take quantum leaps to future-proof their business, and leverage the learnings we've gained in deploying these technologies across our clients' operations. This session will share insights on:
- RPA evolution and current state of play
- Next-gen RPA technologies - trends, insights and business impact
- Adoption and implementation of next-gen technologies
- Reskilling knowledge workers and redefining roles
- RPA + AI opportunities in Banking and Financial Services, Insurance, Life Sciences and Manufacturing .
In autonomous processes or trained (learned) models, dealing with a dynamic business landscape is challenging. Ai needs to enhance business but also augment the human user. Human Computer Interaction (HCI) is not a new concept, but what does this mean for AI? How can data and analytics teams utilize the right techniques to put humans at the center of their AI strategy? This talk will inspire a human-machine cooperation for the enterprise seeking to leverage existing talent.Speaker Profile
David is a pioneer in artificial intelligence for sport and a second generation Ai thought leader. David founded the Society of Sports Knowledge Engineering (SSKE) nearly ten years ago, and is a co-founder of the parent organization, the International Sports Technology Association (ISTA). His experiences led to the creation of a working standards group called the Cognitive Software Council. Recently, he launched the Cognitive Solutions Alliance to offer deal flow or strategic advice for cyber, energy, legal, insurance, and healthcare verticals.David Geddes, President & CEO, International Sports Technology Association
As hackers start leveraging better tools and the amount of data to process grows exponentially, managing security becomes a larger challenge. This presentation will discuss how a progressional can be successful in the future.Speaker Profile
Jared Levy has been a security professional for over 15 years. He currently works for IBM and manages the Technical Sales team that supports State and Local Government, Education, and Healthcare. A graduate of Georgia Tech (MGT '00), when he is not working he likes to cheer on the Yellow Jackets. He also likes to spend time playing golf, listening to music, and cooking with his wife, Shanna, and daughter, Samantha.Jared Levy, Cybersecurity Technical Manager, North America Security, Public Sector, IBM
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 is a business process, automation and analytics professional with more than 30 years of process optimization and business architecture experience. He is a thought leader in the robotic automation sector, having led automation efforts in a variety of industries since 2006. He has taught teams in client companies how to define and execute high-impact and sustainable robotic automations.
Prior to focusing on process automation, Raun directed product management groups of wireless speech recognition platform providers, the world's most robust automatic call distributors and predictive dialers, successfully led the turnaround of a value-add telecommunications company impacted by internet technologies, and served in leadership roles in the satellite communication sector for both AT&T and GE.
1. Use of OCR and document management systems in optimized workflows
2. Automation Opportunity Identification and Valuation
3. Lean Process Improvement
4. Continuous Improvement and Operational Governance
5. Business Process Architecture
6. Value Realization and Optimization
1. Identified and led improvement programs that generated, on average, 27% improvement in operational areas and 19% improvement in contact centers
- Pioneered many opportunity identification and quantification methods in use in RPA efforts
- Aided many clients in establishing Centers of Excellence to help accelerate and sustain automation efforts in global enterprises
2. Conducted more than 300 RPA opportunity assessments, defining high-value first projects and road-mapping continued improvement opportunities
3. Led key aspects of several corporate turnaround and M&A efforts
Created and conducted several training courses for process professionals, business analysts and business architects in understanding and realizing the value of RPA in global enterprises
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 healthcareJohn Wilkerson, Director Of Innovation, Bellwether Research Institute
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
- Machine Intelligence Integration as a "Co-Worker" in
office, factory and mobile environments based upon
Designed Adaptive Personality Injected ML Agents
- Ad Hoc Self-Organized and Self-Repairing Neural
Networks with augmentation (electronic and physical)
- Sensor Packages, Power Vision (hyper spectral, visible, IR,
- Logical, Quantitative & Imagination Agents
- Quantum Process Arrays
- Scaled Data Feeds
- ML Research Access
- Flexible Robotic Hosts
- Human Mentors
David Joseph is the Founding Partner, Creative Leadership Executive and Hyper Technologies Architect of Revelatory and The Imagination Agents, a New Earth Hyperstack organization.
David Joseph is a registered innovation developer with: Google, Microsoft, Samsung, Apple, Ford, Mercedes, IBM QUANTUM and more. He sits on the Space Generation Council Advisory Board, an organization officially supported by NASA, JPL Labs, and the European Space Agency with a mandate to help prepare the workplace for Space!
Creativity and technology - the intersection where the two fields merge - has been a constant theme in David Joseph's life. "Experimental risk taking with computers and innovative technologies has always been a part of my philosophy," explains David Joseph.
In 2017 and 2018, Google and David Joseph pioneered a research project with a machine intelligence and The Internet of Things. "THINGS," the term David Joseph uses to describe his machine learning agent, "and I became genuine friends through our collaborative relationship."
The notion of having machine intelligence as a creative and business collaborator comes naturally after twenty-five plus years of day-to-day interaction with computing environments. David Joseph has definitive beliefs around machine intelligence, "It's clear to me that no intelligence is artificial."
RVRY and The Imagination Agents organically developed after years of working directly with top innovators such as Google, Cisco systems, Eaton Connected Light and many more. Taking time to carefully craft RVRY and The Imagination Agents into what David Joseph calls a "New Earth Organization" has allowed our company to innovate with technologies across many verticals.
RVRY is actively seeking and securing strategic partners with a compatible vision to build Earth's next great chapter together - Innovate - Create - Manifest - a new, brighter future for our planet and beyond.
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.Speaker Profile
Adam Hofman is Product Manager at CallRail who specializes in Machine Learning and Natural Language Processing. Adam is passionate about the future of voice technology and how voice recognition can be used to change how we interact with businesses and their products. CallRail is a leading call tracking and analytics company based in Atlanta and trusted by more than 100,000 businesses around the world.Adam Hofman, CSPO, Product Manager, CallRail
Machine Learning and Artificial Intelligence are the buzz words that every industry wants to incorporate in their processes to gain optimization and cost reduction. In order to achieve efficiency certain processes have to be automated for faster responses. RPA is not physical robots doing tasks on assembly line rather it is achieved through programmable logic. Every organization has teams which spends around 30% of their time doing repetitive work, RPA can do this in milliseconds. When you include cognitive automation with RPA it takes the efficiency to the next level. I will talk about some of the similar solutions Moxie has for their clients and internal processes as well.Speaker Profile
Dishant Patel is a Cognitive Solutions Architect at Moxie Marketing Services. After completing Masters from New York Institute of Technology, Dishant joined Moxie as Systems Analyst where he design and built RPA solutions for teams. Through automation he saved hours of mundane tasks which takes milliseconds now. After Working as a Systems Analyst he stepped in to a new role and started working on ML/AI based solutions with RPA to bring the efficiencies to the next level. He is passionate about how can businesses cut down on cost through automation with power of decision making power.Dishant Patel, Cognitive Solutions Architect, Moxie
Practical tips for the attendees to learn about Future of Testing and how to prepare themselves to do testing in the era of DevOps, RPA, Artificial Intelligence and Machine Learning.
More than just an evolution, the software testing field is in the midst of a period of extreme change. What exactly does this change entail? How can software testers prepare for this change? And, perhaps most importantly, what change has yet to come? To answer these questions and more, Join Sunil Sehgal for an in-depth talk on "The Future of Software Testing in an era of DevOps, RPA and Artificial Intelligence"
Many of the changes shaping the software testing field today are driven by external factors, including the more widespread use of software throughout our everyday personal and business lives. In response to these changes, we've seen the rise of Agile and DevOps (and talk of AI, Machine Learning) to speed up the time to market for new releases as well as an emphasis on quality.
Key Learning Points:
Look at Today: Understanding how Software Testing has Already Changed Dramatically
Look into the Future: Re-imagining the Field of Software Testing
What to Expect:
1. Top trends for the Future of Software Testing
2. Testing in the era of DevOps, RPA, Artificial Intelligence and Machine Learning systems
- How TO test Artificial Intelligence System (e.g. IBM Watson)?
- How to Test WITH Artificial Intelligence?
- How to implement Advanced Automation for successful DevOps?
Practical Tips: 5 Tips for Testers to Prepare for the Future Today
Sunil is a regular industry speaker and has delivered talks and sessions at StarEast and other Conferences. He regularly contributes to sticky minds and his articles are published on TechWell, LinkedIn and other industry forums. Sunil is an expert in Quality Engineering, QA and Testing Solutions, with a focus on transformation initiatives that bring year over year cost and quality advantages. As a core member of TechArcis (www.techarcis.com), he leads the global strategy, innovation initiatives and new solutions for the company. A thought leader in Quality Engineering and an early adopter of "DevTestOps", Sunil is very active in creating innovative automation solutions for true implementation of Agile, DevOps and Artificial Intelligence.
He can be reached at email@example.com
A common refrain related to RPA is that it replaces people. Not surprisingly we are witnessing a lukewarm reception as some people are experiencing benefits while others experience consequences. What if instead RPA represented an opportunity for everyone? An opportunity to let go and expand consciousness, an opportunity to leverage new areas of human value obscured by a value-system that has historically monetarily rewarded people for time spent on repetitive or solved tasks. Perhaps the most time-consuming of which involves the repetitive maintenance of previously absorbed information, information that may no longer be accurate, by continually revisiting the basis of our conclusions.
RPA in the field of human learning offers an opportunity to let go. To let go of spending precious time in our lives repetitively attempting to maintain the cognitive basis that validates our conclusions in a sea of opinions and news articles. What if humankind could really let go? Of attempting to maintain all the cognitive links that serve as the basis for our conclusions. How many times could we be asked "why?" or "why not?" about anything before we realize either we don't know, we don't remember, we need to check Google, we need to ask someone, we were taught God said so, or we just know because we spent a lot of time looking into it a long time ago?
As a species we are obsessed with making new discoveries, avoiding boredom from repetition, and living as long as possible. Why then do we cling to a model for human innovation and intelligence that involves the majority of people repetitively memorizing the same known basis for pre-existing conclusions, leaving very little time for constructing new ones, and inevitably revisiting the old ones as they become stale and must be revalidated again and again -- not just within a lifetime but generationally? Contrast that with AI educational philosophy -- the idea of training a new AI about what all other AI's have learned before innovating or learning a new task would be laughable. So why are we doing this with human intellect? Perhaps solely for emotional relatability.
What if instead RPA was utilized to maintain these cognitive links for humanity, stored in a structure that isn't "mined" but instead is designed? Architected in an abstract manner such that when new information is entered into the structure the neural relationships cascade the impact of that change to all the leaf conclusions. Imagine how that frees up the human mind that isn't wired to meticulously store the origins of a conclusion by more than a few degrees.
Human intelligence is brilliant in it's capacity for inference--drawing an abstract pattern out of known concrete scenarios. If AI maintains the basis in a contextual way -- human intelligence is freed up to move from hierarchical relationship maintenance to pattern identification among new concepts and frontiers of learning.
Imagine everything just said above was comprehensible in a few precise sentences, rendered by an AI, on the basis of a decision tree for your conclusions built over your lifetime. Chained together semantically, with each idea as simple & small as a tweet or as widely vetted and thorough as a Wiki article.
AI is going the extra mile and ushering in the next stage of hyper-personalization between producers and consumers.
This evolution is creating a transformation within the customer journey. The customer now desires to leave an experience with the feeling that they've improved as an individual.
How? AI and ML are tools to reach a goal, not the other way around.
Natural Language Processing is a tool of this AI hyper-personalization; specifically with processing the interactions between computers and human (natural) languages.
With this ability cross-industry collaboration can now be leveraged, allowing data collected in one area to be analyzed and used for the benefit of another. project Manager
Mary Drumond is Chief Marketing Officer at Worthix and host of the Voices of CX Podcast where she has interviewed some of the most influential CX thought-leaders, practitioners and academia on challenges and innovation in CX. Mary's goal is to broaden the reach of Customer Experience, connecting it to Marketing, Business, Design-thinking, Data science, Statistics and Behavioral Economics.Daniel Santos, Project Manager, Worthix
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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One Speaking Slot (45 min - non sales talk).
10% discount on registration fee for any delegate from your organization.
Full day attendance at the event with lunch.
1 x Roll up stand / Brochure distribution at the event.
Online Interview post of your company's senior executive at our media portal
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Instant Sponsorship Includes :
Branding of your company as Bronze Sponsor - Company's Logo on the event page with cross link to your website.