Intelligent Robotic Process Automation (IRPA) technology is the RPA - Future of Work looking to streamline processes, increase productivity and ultimately improve the bottom-line.
IRPA 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 IRPA/RPA market grew 64 percent to $200 million last year and is expected to grow 70 to 90 percent by 2020 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 IRPA Summit in February to hear from subject matter experts currently evaluating IRPA for their businesses in areas such as Finance, Procurement, HR, Outsourcing, Automation, etc.
While Intelligent Robotic Process Automation (IRPA) is often the first tool to garner investment as it leads to quick wins with a lower investment, IRPA is only one tool in the automation toolbox, and this event covers the gamut of intelligent automation technologies including cognitive, machine learning, AI, and more.
Cognition and understanding of natural language are present in nearly every business process. In order to automate business processes end-to-end it is a necessity for modern RPA platforms to provide the features and capabilities to seamlessly integrate cognitive automation technologies with more traditional robotic process automation. In this presentation and workshop, Jens will explore and showcase UiPath's cognitive capabilities.
Jens would be taking a workshop on the topic - Making Bots Intelligent - Cognitive Automation, as well as he will be taking a individual session on 06 Feb 2020.
Though a lot has been talked about the emerging technologies, there are still a lot of unknowns on the concepts. To bring it to life, Shailendra will take a usecase approach to showcase how large organisations are becoming “Intelligent Enterprises” to Make Money out of Data using emerging technologies like RPA, AI, IoT and Machine Learning. Shailendra will also talk about how data can bring business value to an organisation through emerging technology strategies for revenue growth, cost reduction, marketing and customer behaviour management to drive business outcomes driving huge return on investment. Covering usecases from industries like telecommunications, retail, media and entertainment industries, the author of the Amazon best-selling book “Making Money out of Data”, Shailendra will use business value chain from several lines of business to showcase the implementation of innovational RPA strategies that make their processes smarter and intelligent.
52% of clients that have embarked in RPA have rolled out 5 or less bots and have little to no ROI on their projects. Though RPA technology is new, this is the same problem any every new technology faces. The reality is that even though a conceptual use case can be identified, the role of the technology in the business may not be clear. Personally, I believe that the first problem is that companies want to throw a solution at a problem they don’t quite understand.
If we only focus on driving the bottom line and reducing head count two main RPA conversation points, proving ROI for can be challenging and the entire project gets a negative stigma, but if our focus can shift to top line growth and business regulation we can picture a symbiotic future where people and bots work together. Successfully embarking on any automation journey requires the entire business to collaborate, engage and rethink business processes. Only once we have a clear understanding of the processes, the role or RPA and AI and the future role of people in that process will we be able to drive real ROI.
In the intelligent enterprise, we leverage bots and humans to the best of their abilities. Bots are remarkable at consistency, accuracy and compliance, AI is even replacing humans in the decision tree, but there is still no substitute for human ingenuity and imagination. When deploying the most valuable assets of our people, the entire organization can start thinking about new ways to be more customer centric, unpack potential risks before they occur and find new revenue streams in the organization.
This work explores how to use Machine Learning to produce pictures based on a narrative. Emotional logic which exist across cultures is explored through fairy tales, underpinning how humans may unconsciously interpret their waking world. Images are created digitally through accessing online image databases, and combined with Generative Adversarial Networks (GAN). The selection of images occurs through aesthetics both undertaken computationally and by the user.Speaker profile
Miriam Hochwald is a rare combination of data scientist, visual artist and leader based in Sydney, Australia. Her unique visual and pattern thinking styles intuit solutions to difficult problems in a rapidly changing world. She translates complexity and communicate to people from diverse domains and life experience. A mindset of consultative leadership is maintained, listening to peers and coaching as a senior to the next generation. Experienced in startups, education, research, telco, energy, mining and defense. Currently persuing a Data Science startup and postgraduate studies within Entrepreneurship, Data Science and Visual Art
How did breakthrough technologies impact markets & human productivity since 18th century. Is there a clear pattern emerging that we can apply to the upcoming changes within RPA sector. With open source RPA platforms like Automagica evolving by the day - what would a future state for the markets & enterprises look like? What bearing would it have on the skills of labor market and what role do smart and intelligent robotic applications have in it?
Let us explore how a grassroots approach of finding Business Value in existing Processes can work. Many businesses find that their processes aren't documented well enough to clearly articulate where the benefit may be. This reality makes for a difficult conversation about business value. To remediate this problem I will show you a technique I developed in 2008 which is applicable to RPA Initiatives called The Distilled Process Effort Model.
A description of the model will follow a short example on how it applies to RPA on existing processes. We then explore the lead-up to the Human Impossible Process, and the value this can bring to the company.
Are you looking to inject AI, ML and related capabilities into your RPA processes? We look at the practical considerations to bring to bear as create your intelligent digital workforce.Speaker Profile
James is a veteran of the Data & Analytics industry with over 20 years’ experience. He leads the Data, AI & RPA practice of the FTS Group.
Organisations are not only continuing to use RPA, but are moving beyond by seeking to ramp up deployment of intelligent automation. So what are the barriers that organisations need to overcome to achieve that potential - people and leadership, technology and operating model through to data and the overall approach to automation that each business pursues.
The IRPA Conferences features insightful talks by recognized thought-leaders addressing the actual developments and trends in IRPA. 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 IRPA challenges with confidence. You will find a mix of speakers from diverse organizations sharing their real experiences and expert insights with the event particIRPAnts.
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