Intelligent Process Automation Summit

"Recent ISG Survey indicates that Industry wide Adoption of RPA based Automation In Business and associated services is 6-7% where as rest of the 80-85% potential is yet to be Scaled as either adoption is limited to creating Proof of concept or Identifying value driven Business case.

Few Organizations who were front runners in "crossing this chasm" have made it possible by not only scaling their Automation Adoption to 50% (and more) but also enhancing scope of Automation to "Intelligent Automation". These organizations adopted an IT Driven Digital business strategy. This is further detailed by Venkatraman & Henderson in Digital Matrix.

Digital Business Strategy underpins that sustained Adoption of Intelligent Automation by following a maturity-based IT Service framework. It encompasses continuous assessment transformation measurement and bettering ways of working, Thus increasing customer value proposition and achieve sustained competitive advantage".

With emergence of cognitive technologies, every organization is trying to stay relevant in the market place traversing the path from business disruption to stabilization and transformation. Integrated end-to-end approach starting from initial strategic alignment phase to value targeting, process improvement and sustainable cognitive transformation is driving digital process reinvention. The topic is focused on How organizations can capitalize on insights to optimize business operations leveraging BPM, Robotics, Analytics and real-time decisions infused with cognitive capabilities that sense, respond, and learn. The ubiquitous cognitive on cloud leveraging client value assessment, outcome based reinvention roadmap, automation anywhere, industry process innovation analyzer and operational decision management will deliver high impact results.

Biswajit is IBM Certified Executive Consultant and Global Integrated Delivery Leader for CIO Advisory and Cloud Transformation Factory. Biswajit is an alumnus of IIT Mumbai with more than 22 years of experience in IT with leadership positions in companies like TCS, Zensar, Capgemini and now IBM. Biswajit specializes on concept to realization of Digital Transformation strategy including incubation of offerings, architecting, rolling out new age digital accelerators and delivering large complex process transformation engagements. Biswajit has several national and international publications and disclosures on Cloud and Cognitive Analytics . Biswajit is member of IBM Academy of technology, Member of Board of Studies for Symbiosis University and Board member of IIBA Pune Chapter.

Intelligence Automation is much used and abused term, but very few clients have really implemented and seen real benefits, mainly due to lack of clarity of use cases. In this talk, we will see some real life use cases of Intelligent Automation, the capabilities needed and the deployment models. It will also cover how the Enterprises can expand their scope of automations with Intelligent Automation capabilities to achieve real value of automation

Shrikant Deo is Associate Director and Head of Product Management for AssistEdge, Award winning Automation Product from EdgeVerve Systems, a Infosys subsidiary. Shrikant is a RPA thought leader and an expert in the Intelligent Process Automation space. He is a senior IT Products professional with a total of 18+ years of experience in multiple leadership positions. He brings with him, a rich experience in managing global teams delivering value to Enterprise clients through innovative solutions. Shrikant has done his MBA from IIM Ahmedabad and Engg from UDCT, Mumbai

The truly innovative companies are already applying their efforts to combining AI algorithms, ML models, and DevOps systems to deliver the cutting-edge cloud monitoring and infrastructure automation solutions of tomorrow. Applying these practices results in tremendously better customer experience, shorter time to market for the products, more effective infrastructure usage and better collaboration within the team.
In this session, you will learn about three facets of AIOps:
1. How to identify and process large amount of system metadata rapidly
2. How to engineer a system for in-depth data analysis
3. How to identfy patterns and triggers for intelligent automation of routine tasks
You'll learn all this and more through never-seen-before case studies and deep insights from a Silicon Valley technology leader and entrepreneur.

One of the major challenges in any business context is to reduce complexity of business processes - be it for optimization, training or automation through bots. As a famous creativity & innovation Guru Edward de Bono says - "Dealing with complexity is an inefficient and unnecessary waste of time, attention and mental energy." Eventually this complexity might cost dollars for business. When it comes to reducing the complexity for automation, there are numerous ways. In the current session, I would like to present - "How to Simplify a Complex Process - the Sherlock Way..." The interpretations from this world renowned detective; guide business analyst to tackle complexity. At many instances one gets overwhelmed by the complexity, however one can say - "Elementary, Watson..." after analyzing the process Sherlock way. Once, the complexity is reduced, automation becomes effective and earns better RoI (Return on Investment). The session will cover topics like - Facets of Business Process, What does Sherlock has to say, how to reduce complexity for each facet, and couple of small cases to explain these techniques.

11 years of experience in end-to-end Business Transformation through Enterprise-wide initiatives (People, Process and Technology). Specializes in translating strategic objectives and abstract requirements into implementable solutions. Certified Business Analysis Professional (CBAP). Core competencies include Business Process Management, Holistic Business Analysis, Business Solution Architecture and Business Strategy Execution. Worked on various assignments across geographies and industries like Media & Entertainment, Healthcare, Banking and Procurement. Educational qualification are – Post Graduate Diploma in Business Management (Marketing) and B.E. (instrumentation and Control).

Lot of enterprises have embarked on the Intelligent Automation journey today. Based on my experience with enterprises there are challenges and in this presentation I would like to highlight some of these challenges. The challenges faced by small and medium enterprises are different and those faced by Large enterprises are different. To highlight a few of the challenges
1. Digital workforce (Robots) management
2. Security related issues with Robots and the ownership
3. Environmental changes impact the working of robots.
4. Stretching the boundary conditions to achieve automation makes the platform fragile and unstable.

Overall the maturity of Intelligent Process Automation is still evolving and it will be stable very soon.

31+ Years experience in the IT Industry in Process
Automation, Delivery Management, Product and Platform development and implementations.
Successfully set up the Product Support Organization for Edgeverve systems for all the product offerings.
Led large Process Automation and Optimization Transformation/Cost Improvement Programs across multiple geographies – Japan, US, Europe and NewZealand.
Large Account Delivery Management for clients in USA and Europe.
Conceptualized and developed Customer Service Automation Platform for Infosys and implemented it for multiple clients.

"Nearly 80% of companies are in the process of digital transformation—but of those, 90% are facing significant obstacles to success, according to a survey from AppDirect, 2019.
The major challenges cited by the executives surveyed are company culture (32%), lack of understanding and knowledge (24%), lack of expertise or technology talent (23%) and lack of digital transformation vision (20%) that have ultimately led companies to struggle.
The above challenges are inevitable until there is a change in approach and purpose with which the Digital Transformation is undertaken.

The talk will illustrate with real-life examples how a slight change in approach and effective use of RPA can guarantee a successful Digital Transformation and will cover following topics:
- Top-down vs Bottom-up approach
- Identifying the processes for automation
- Pros and Cons of forming a Core Team for Digital Transformation
- How to successfully migrate from Legacy systems using RPA
- Key success factors for having a sustainable and evolving Digital Transformation

Saket is a Management Consultant who has had a diverse experience of working in Government, Private, Public and Startup organisations whose turnovers have ranged from Billions to a few Millions. In his 11 years of experience he has worked across Oil & Gas, Construction, IT, SAP-ERP Implementation & Fintech domains and is a specialist in Process Re-engineering and Digital Transformation.

Artificial intelligence empowers RPA it takes RPA to next level. Common RPA use cases include accounting, billing management, customer onboarding, data validation, etc. where structured activities are being automated via RPA. It works great when there are exceptions and unexpected events.
In real case scenarios, there will be exceptions and unexpected events which cannot be handled by RPA. This is where cognitive technologies and machine learning become all the more important. RPA platforms empowered with AI technologies tend to automate the emotional- and judgment-based process to handle these exceptions. To achieve this, they need to integrate cognitive capabilities including natural language processing, machine learning, and speech recognition.
This combination of RPA and ML is called IPA (intelligent process automation) or CRPA (cognitive robotic process automation).
A short list of what RPA does in comparison to AI:
RPA: Mimics human activity through UI in a non intrusive way and can handle structured and semi-structured data. The spectrum of possible actions is determined by predefined rules so that the behavior of the robot is deterministic.
RPA + AI: Mimics human activity through machine vision, speech recognition, and pattern detection capabilities and can handle structured, semi-structured, and unstructured data. Machine learning lets robots learn how to process and also improve processes that leads to probabilistic behavior.
As a matter of fact, RPA, even when empowered by AI, is not a Terminator-like robot. It's not cloning humans. It's just an advanced set of software that follows rules to perform business actions. Humans are requested to build the rules, handle exceptions, bring emotional intelligence, and deal with complex and unpredictable issues.

"If you haven't adopted intelligent automation, you are not creating competitive advantages"

Intelligent automation powered by artificial intelligence is driving the new era. Intelligent automation - helping many organization to achieve unprecedented level of efficiency and quality. The process ranges from routine to the revolutionary and decision makings.

My talk is about industry use cases and strategy - how RPA has delivered business outcome along with NLP, Machine Learning, Computer Vision, AI powered OCR and Analytics.

Using Intelligent Automation as an innovation lever and solving problems previously unsolved. Case Study: How a pharma company used RPA, Cognitive Automation, Python etc. to reimagine the Pharmacovigilance process.

Satish is leader in the ZS’s Operational Excellence Practice and he leads Intelligent Process Automation capability. Prior to ZS, Satish has worked at Ericsson Stockholm office where he led the Intelligent Automation team. Overall Satish has over 12 years of Experience ( 6 years in US, 2 year in Stockholm and remaining in India). Satish holds a graduate degree in Mechanical Engineering from Sardar Patel University and MBA from Indian Institute of Management Bangalore.