Risk can come from anywhere and cascade into business disruptions Risk teams need continuous risk intelligence for early warning Taking a full-spectrum approach to risk monitoring Avoiding information overload with AI and ML Using automation to improve the ability to monitor and mitigate risks across the entire supply chain

Financial industry professional with a proven track record in developing and managing AML/CTF, KYC, Anti-Fraud and Vendor & Third Party Risk Management programs. Held senior positions in New York, Tokyo, Singapore and London for Citi and Deutsche Bank covering corporate, investment, commercial and consumer banking operations. Proficiency developing and implementing analysis, operations, monitoring and investigation systems and processes involving transaction accounts, credit cards, debit cards and online banking.

Some repeating use case patterns lead to repeating solution patterns in intelligent automation. We’ll discuss those patterns, picking the optimal solution architecture and case studies. For example, picking a smart document capture solution, picking between RPA and BPM, etc.

Fabio has been in the intelligent process automation space for over 8 years, having built IPA consulting practices from scratch multiple times. He had leadership positions at IBM, Capgemini, Deloitte and other consulting companies.

In the digital economy, customer perception is the only reality, but the complexity of testing across digital interactions and physical transactions boundaries can blur the real user experience. In this session, we will explore two unique use cases that highlight the creation of digital twins to replicate the human interactions within the digital world: The challenges that millions of remote workers face today is how to collaborate better with more effective interactions and engagements. By design, digital workforce collaborations extend an integrated and immersive experience to meet that challenge, but it expands a chain of workflows across applications that can be difficult to enable intelligent process automation. Taking a shift-right approach is needed to engage directly with real business-users to understand their behaviours and reactions to new choices and actions. Key Takeaways: Real-world examples of the digital twin approach How to apply real-world patterns MBT from part 8 of the ISO 29119 standard Observability of complex real-world oracle meta test data (i.e. hyper-baselining)

Jonathon Wright is a strategic thought leader and distinguished technology evangelist. He specializes in emerging technologies, innovation, and automation, and has more than 25 years of international commercial experience within global organizations. He is the Chief Technology Evangelist and heads up Solution Engineering (R&D) for Eggplant a Keysight Technologies company. Jonathon combines his extensive practical experience and leadership with insights into real-world adoption of Cognitive Engineering (Enterprise A.I. and AIOps). Thus, he is frequently in demand as a speaker at international conferences such as TEDx, Gartner, Oracle, AI Summit, ITWeb, EuroSTAR, STAREast, STARWest, UKSTAR, Guild Conferences, Swiss Testing Days, Unicom, DevOps Summit, TestExpo and Vivit Community. In his spare time he is the QA advisory lead for MIT for the COVID Paths Check foundation throughout the Coronavirus pandemic. He is also a member of Harvard Business Council, A.I. Alliance for the European Commission, chair of the review committee for the ISO-IEC 29119 part 8 “Model-Based Testing” and part 11 for the “Testing of A.I. based systems” for the British Computer Society (BCS SIGiST). Jonathon also hosts the QA lead (based in Canada) and the author of several award-winning books (2010 – 2022) the latest with Rex Black on ‘AI for Testing’.

Effective scaling of an RPA program requires the ability to standardize the quality and cost of building in-house automations. As organizations mature in their intelligent automation journey by expanding and moving to a federated operating model, they are often faced with challenges surrounding build quality and maintaining development best practices. In the intelligent automation world, setting design standards and managing quality control is the realm and responsibility of the Design Authority.

Jon Knisley is a Principal at Reveal Group. He helps companies deploy and scale intelligent process automation programs. Prior to his current role, Jon served as the Product Evangelist for Process Intelligence at FortressIQ and Chief Architect for Intelligent Business Automation at the Defense Department’s Joint AI Center.

Intelligent Automation (IA) helps companies realize the next wave of operational efficiency, support decision making through data analytics and accelerate digital evolution. AIOps combines big data and machine learning to automate IT operations processes. Intelligent solutions can emulate human behavior, make decisions and learn from experience. Intelligent Automation and AI enable organizations achieve business and IT process efficiencies through a three-phased strategic approach. The first phase involves assessing the current level of automation maturity to qualify quick wins for implementation. The second phase is used to identify the major business/IT processes focus areas and align them with the Do-Think-Learn service continuum. The final phase includes a roadmap using the crawl, walk and run framework. This session provides an overview of process automation using Robotics and the approach to accelerate automation maturity with enhanced intelligent automation using machine learning and artificial intelligence.

Vandana Viswanathan is a strategic business & technology consulting leader with over 20 years of experience providing consulting advisory and program leadership services for fortune 100 clients. Vandana specializes in Digital Strategy, Transformation, Program & Product Management, Intelligent Automation, Agile, Cloud Transformation, Enterprise Architecture and Regulatory Compliance services. Her consulting industry experience spans across Life Sciences, Healthcare, Banking & Financial Services and Insurance. She plays the role of a Market Leader / Digital Transformation Partner for Life Sciences clients across North America. Vandana has designed Intelligent Automation solutions for large corporate clients. She has pioneered best in class frameworks for validating cloud and COTS systems. She acts as a trusted advisor for several fortune 100 global clients across Life Sciences, Healthcare and Banking & Financial Services.

Broad based management experience in Consulting, Business Process Management, Automation, Product/Platform Management and complex program management. More than 20 years of IT experience including 5+ years in managing high growth BU with end-to-end responsibility and transforming both top and bottom line. Have hands-on experience with emerging technologies (RPA, AI, BPM and Analytics) and effectively used them for the growth of IT/BPS business. Excelled at building high-performance teams, business development, delivery management, and large system implementations. Broad based management experience in Consulting, Business Process Management, Automation, Product/Platform Management and complex program management. More than 20 years of IT experience including 5+ years in managing high growth BU with end-to-end responsibility and transforming both top and bottom line. Have hands-on experience with emerging technologies (RPA, AI, BPM and Analytics) and effectively used them for the growth of IT/BPS business. Excelled at building high-performance teams, business development, delivery management, and large system implementations.