Intelligent Robotic Process Automation Summit

A look AI and how it how will impact on the next economy.

- AI transforms to trusted sidekick with consumers
- Provides access to Mentors
- Progress against goals
- Evolution of closed buying systems driven by AI
- AI becomes electricity-like in the life of consumers.

Vice President CPG and Retail. With over 25 years of experience in the Consumer Products Industry, Mike is responsible for developing pricing and trade promotions solutions to the manufacturer community. His functional expertise is in developing solutions that guide Consumer Goods companies through strategic pricing and trade decisions that lead to tactical collaborations with retailers. Prior to joining Nielsen’s Revenue Optimization practice, Mike worked at:

IBM in their Consumer Products Division
IRI in their Price and Promotion / Automated Analytics area
Nabisco’s Biscuit division (now Mondelez) in Field and HQ Sales.
Mike has an MBA in finance from Seton Hall University
He is founding Board Member of the Promotion Optimization Institute (POI)

Non-expert users of complicated and complex systems need the help of conversational agents to get what they need done. When are conversational agents appropriate and when are they just getting in the way? How do you build conversational agents so that you are enabling people to get what they need? Are there ethical issues in how you build conversational agents? During this talk we will dive into the practice of building conversational agents for IT automation tools.

Chris has over 18 years of product and business development experience at companies like Microsoft, KAYAK, and Waze. He first got introduced to AI like graph theory and genetic algorithms during his Computer Systems Engineering degree at Boston University. He has worked on AI-related projects at his startup Complete Seating (data science and constraint programming), Horizon Ventures (advising portfolio companies like Affectiva), and Philosophie (AI consulting and coaching). He created techniques like Empathy Mapping for the Machine and Confusion Mapping to create cross-team alignment while building AI products.

where I would like to walkthrough the target community on the critical strands of DNA to identify, and cultivate for successful automation programs

Artificial Intelligence (AI) is becoming increasingly common in the workplace. In our age of digital transformation, organizations need to adjust and innovate to stay competitive, and workers need to develop new competencies to work with AI-related technologies. Organizations and employees need to reskill and upskill, and the concept of lifelong experiential learning unleashes the capacities of aspiring individuals as well as providing support to a growing need of agile, entrepreneurial, robot-proof makers and doers in the era of AI.

Internal and environmental challenges require Tax to be nimble and accurate in providing information the enterprise needs for business decisions as well as complying with increasingly complex rules and calculations for tax jurisdiction reporting.
Tax needs to consider innovative ways to collect and process financial data, moving away from manual manipulation and reconciliation to more forward-thinking analytics for real-time decision-making.
The recent trend towards "small automation" empowers Tax professionals to be innovative without the need for big IT involvement, using Extract, Transform and Load (ETL) solutions for pulling and analyzing source system data. Visualization tools are also being used to enhance the quality and dynamic display of data for dashboard and presentation purposes. However, AI has the power to do so much more.

Jesse Fu is a Director in PwC's Tax Reporting & Strategy. He has over 10 years of experience in serving asset management clients in tax technology enablement and tax process improvement. Jesse specializes in data optimization and management, process automation, and technology implementation. Jesse has worked on several large scale transformations advising clients on finance, accounting, and tax process redesign

What is it? Why it matters to business? Let’s have a deep dive for success of RPA with AL.

Vivek Malhotra has implemented many enterprise business digital transformation solutions. In his current role at UiPath as Director, Customer Success, he is responsible for enabling customer success in RPA CoE setup and deployment. Prior to joining UiPath, he worked for Deloitte, AIG and Ernst & Young.

With the widespread adoption of electronic medical records (EMRs) and recent advances in machine learning, AI has come to the forefront in clinical technology. However, translating AI solutions into real-world clinical workflows is a challenge due to the amount of noise in the data, standardization and interoperability issues, and the complexity of clinical practice and workflows.
At Droice, we leverage massive repositories of clinical data to build AI solutions that deeply understand diseases and help providers make better decisions for their patients. From data access through NLP/NLU to building complex models of disease, this presentation will describe Droice Labs technology and address strategies for translating AI into deployable hospital solutions.

Harshit Saxena is the Chief of Product at Droice Labs, where he manages a team of over thirty individuals integrating cutting-edge AI solutions in large healthcare enterprises. Previously, he led product integration and development teams at GE and Oracle. Harshit studied machine learning in his MS at Columbia University and worked alongside with industry and academia on computer vision technologies for autonomous vehicles and other automatic AR, 3D mapping applications. Recently, he worked with the UN Millenium Villages project, where he designed, built, and deployed scalable software solutions for multiple countries in Africa enabling drinking water and electricity access for millions of individuals.