With the RPA driving automation of business processes, it is imperative to go beyond and leverage intelligent automation. New age companies are redefining customer experience and the millennials are driving adoption of new digital channels. The best way to remain competitive and drive cost down is by faster adoption of automation coupled with AI.

Nikunj Nirmal a business executive, technology enthusiast and an accomplished digital leader with an extensive experience in technology strategy, enterprise architecture, and IT roadmap for Fortune 500 organizations. With strong focus on Digital Experience and innovation, Nikunj has a unique ability to improve organization’s effectiveness, motivate and build high performance teams focused on solving business problems, and leverage solutions to drive sustainable growth.

With strong background in technology industry, Nikunj has led large scale technology transformation programs, technology product management, IT deliveries, strategic planning, innovation, automation and integration of cross functional teams.

Bots are getting smarter and more conversational. AI-based emotional intelligence chatbot can detect emotional content by recognizing groups of words in context. Furthermore, by using methods like Term Frequency — Inverse Document Frequency (TFIDF), Tokenization, Stemming, Lemmatization, and Topic Modeling, AI can detect nuances in language meaning. I will introduce compelling use cases that a bot handles not only NLP conversations, therapeutic conversations to help people with anxiety and depression.
(With a lot of visual UX design presentation or animation)

The need for DevOps arose with the increase in the success of agile software development and the desire to release software faster and more frequently. With rapid DevOps adoption, what happens to Cybersecurity as we know it? Does DevOps eliminate the need for security experts? The idea that there is no place for Cybersecurity in DevOps is a myth. Instead of Cybersecurity existing as an isolated entity, DevOps seeks to integrate security into IT processes from the start. In this discussion, we will talk about how to "shift security left".

• Make ROI projections part of ideation analysis
• Building ROI beyond Low Hanging Fruit
• More to ROI than reducing FTE
• Discovering hidden value of ROI
• Quantitative ROI – The full cost of RPA

There is increasing pressure on organizations to show value from RPA investments. Every automation initiative should deliver value beginning with ROI projections during ideation analysis. Additionally, RPA projects can show value early with Low Hanging Fruit. Yet, there is a need to build beyond Low Hanging Fruit ROI which is easy to gather. Most automation efforts focus on reduced hours or FTE reduction. There is more to ROI than reducing hours and FTEs. With RPA, there are soft ROIs that remain hidden but should not be. Leverage tangible and soft ROIs to deliver quantitative, full cost and benefit of RPA.

As we step into a new decade of exponential technologies, How should our Automation Toolbox look like? How can we use surrounding technologies like AI/ML, Process Mining, Analytics and APIs to solve business problems and enable better User and Customer Experiences.?

Process Mining allows you to visualize your data, understand your process, and to discover key opportunities for optimization/transformation. By bringing Process Mining and RPA together within the same platform, we provide organizations with a unique ability to recognize the associated business value by rapidly automating those processes and closing the loop by watching the transformation take in order to achieve continuous improvement.

Building a business case for AI solutions using the AI canvas session will make you think differently about data and how it can solve problems! You will hear surprising use cases that will make you think, sometimes laugh and hopefully inspire your own work. The most valuable part of this session is that it is designed to relate it to your work – so that when you leave you have an AI canvas to make data more useful in your organization and solve a key challenge.

A real-business application of analytics in “Improving Customer Experiences with Real-Time Insights” will be used as an example during the session. This session will include a step by step journey on “How data science is helping IBM to predict the customer experience journey and proactively address the issues, leading to the improvement of Net Promoter Score”. The session will highlight the importance building a business case for AI solutions using the AI canvas, CRISP-DM (Cross Industry Standard Process for Data Mining) and Agile in Data Science projects.

The methodology involves consuming historical NPS data; using machine learning and artificial intelligence to identify the most important features and creating an algorithm to predict the customer experience.

Transform Document processing with AI driven OCR/ICR technology to capture incoming documents and leverage RPA solutions to improve routing & processing capabilities to improve turnaround time, Quality and most importantly free up time for people involved in Collecting, Classifying, Extracting, Validating, Routing and Responding of these document contents, to perform intelligent work.

Most organizations recognize the need for Digital Transformation as a prerequisite to stay relevant in today's Digital Economy. However, many struggle to make the transition from the "legacy" to the "new". This talk looks at how organizations - people, process and technologies need to be reconfigured to realize the full potential of digital innovation. It will build upon some real life use cases and take a sneak peek at what lies ahead in the AI driven world looming ahead.

Organizations could gain huge productivity advantage if they combined Artificial Intelligence and RPA. We will look at some practical use cases where Fortune companies have invested in RPA powered by AI that has given them quicker ROI and better brand equity.