Robotic Process Automation (RPA) continues to gain popularity. By adopting RPA, organisations are integrating rule based processes with software program that do not require much human intervention. These are applied to systems workflow, ERP and databases.

Intelligent Automation (IA) is defined as the next generation in automation technology beyond RPA. Intelligent Automation (IA) engages technologies like machine learning and dynamic workflow and holds the promise of exponential value as it grows, make things simpler. It can integrate everything coming your way from services, new products, technology tools, business models, strategic alliances and ecosystems.

Adding rapid advances in Artificial Intelligence (AI) automatically sees more interest in technologies that increase how well machines sense, learn and act.

Investments in Artificial Intelligence (AI) start-ups by venture capitalists have increased multifold over the last few years.

Although, there is growing interest in RPA, there exists lack of clarity on what the technology is, how it can be implemented and where it is going? Somewhere, it hasn’t kept up pace as such both from a delivery and expectation standpoint and remains a moot question.

This conference will be a center of experts’ power joined by leading AI & RPA practitioners across industries, who will come together to discuss:

Models enhancing RPA along with cognitive technologies to robotize end-to-end, to drive the cost saving in your automation journey.
How to make most of Artificial Intelligence (AI) & Robotic Process Automation technologies and extenuating common implementation pitfalls and how to establish a Centre of Excellence (C0E)
Some of the best practices at all levels of maturity across organisations and its impact on top-line growth.

How evolution of Intelligent Automation (IA) includes advanced Artificial Intelligence (AI), to transform the workplace, workforce and human potential.

Agenda

08:45 – 09:00

Registration

09:00 – 09:10

Conference Summary

Networking Pyramid Learning Platforms

09:10 – 09:50

Sponsored – Key Note

Arunkumar Nair Speaker at Pyramid Learning Platforms

09:50 – 10:30

Industry 4.0 and IOT edge

Speaker: Arunkumar Nair, Head – Artificial Intelligence at Canspirit.ai

Topic Abstract :-

Algorithms used in Object Detection

Various Use Cases in Object Detection

How Object Detection will distrupt Business Models and Careers.

Bio – 20 years hands on Technical and Management experience in Machine Learning, Deep Learning Analytics, Big Data, BI, Data Warehouse, 24X7 DBA and Cloud Computing.

Contributed in Architecture and analytics business solutions.

Worked for Global clients like Navteq (Nokia), M &T Bank, WeightWatchers, Hollywood Media, SHRM USA , Nimble Storage, HPE, Rock Mountain Insurance

Worked in USA, Singapore, Middle East.

parag-pradhan-speaker-pyramid-learning-platforms

10:30 – 11:10

Adding Microservices in the tool kit of Machine Learning engineer. – Bridging gap between static ML model and end user application.

Speaker: Parag Pradhan, Vice President, Intelligent Process Automation & Machine Learning at Bank of New York Mellon

Topic Abstract :- – From practical perspective, the challenge of operationalising machine / deep learning models for a business application lies in the difficulty creating a reliable and agile data pipeline. Microservives is the preferred solution for developing a Machine Learning pipeline. The talk will outline best practices including but not limited to Docker containers in the context of streamlining the process of productionising the Machine Learning models.

Bio – 12 years spanning across Business transformation, project management and Machine Learning / Data Science.

Pyramid Networking Tea

11:10 – 11:30

Networking and Refreshment Break

Pyramid Learning Platform Business Shakehand

11:30 – 12:10

IoT – Redefining business value

Speaker: Samit Das, Consulting Principal Architect at Wipro Limited.

Topic Abstract: Key Message – How some players are disrupting their industry using IoT – How?

Content outline

# POV 1 – Leveraging IoT data is a Business Model

IoT generates data

Value streams to monetize IoT data

IoT data monetization architecture

Products & Services to Outcome based business model

1-2 case studies of Outcome based business model

# POV 2 – IoT helps in generating new value

What is value chain?

Moving up & down the value chain using IoT

One public example – Uber/Amazon

One anonymized case study

IoT helping to spot new scenarios across the value chain

# POV 3–IoT createsPlatformBusiness

Every company is a technology company

But it’s not technology, it’s the business outcome

How you deliver business outcome

Delivering business outcome to becoming Business platform

How IoT Helps in creating a platform business model

Bio: Samit is a Consulting Principal Architect with Enterprise Consulting in Wipro Limited,3rd largest Business/IT solutions provider in India. Samit specializes in Enterprise transformation using Digital platforms, solutions and has provided consulting and solution to Fortune 100 customers. By passion Samit is a motivational speaker trainer and mentor – He has delivered keynote speeches and thought leadership sessions in Industry conferences.

Arit Kumar Bhiswas Intelligent Automation Pune

12:10 – 12:50

Quantum Machine Learning

Speaker: Arit Kumar Bishwas, Artificial Intelligence Architect at Whirlpool Corporation.

Topic Abstract: The recent technological advancements led us to rely on huge volume of data, and on the mining of useful information out of it. Many challenging problems nowadays require effective machine learning techniques. Performing any machine-learning task with huge volumes of data has high computational burden. Machine learning (ML) deals with the development of algorithms that can learn from and make predictions on data. At present, one of the most important challenges in machine learning is how to deal with model training with very large data sets (the so called Big Data).

In near future, classical computing will probably not serve the purpose due to its limitation with silicon technology. As the complexity burden will increase with the size of the problem space. We need a different technology which can handle this issue to process a huge volume of data in a more faster way. Quantum computer is the answer to overcome this issue. In this talk, we will discuss the field of quantum computing & quantum machine learning, and its recent advancements in the world.

Speaker’s Bio: Arit is having 12+ years of experience in research & development and 2+ years in teaching. He is a researcher, a technical writer and a hands on research & development leader in the field of classical machine learning, quantum machine learning, quantum computing, deep learning, artificial intelligence, and data science. He has published many research papers in the field of artificial intelligence and quantum machine learning. He is also an author of 2 book chapters in quantum machine learning for international publishers like CRC publication USA and Cambridge University Press. Recently, his one of the latest research work in quantum multiclass SVM classification algorithm generalized the quantum binary SVM classification algorithm (which was developed by a team of researcher in Google and MIT USA and was sponsored by NASA USA). He is also a member of review committee at Quantum Information Processing Journal, Springer Nature. At present, he is working as an artificial intelligence architect at Whirlpool Corporation. He is an alumnus of BITS Pilani, and at present he is about to finish his PhD (in writing thesis phase) in the field of quantum machine learning from Amity University.

Lunch Pyramid Learning Platforms

12:50 – 13:50

Lunch Break

kaushik-kulkarni-speaker-pyramid-learning-platforms

13:50 – 14:30

Key actions to creating a multi-speed IT enterprise

Speaker: Kaushik Kulkarni, Executive Director at Crecer Digibots India Pvt. Ltd.

Topic Abstract:

Recognize the business need for different speeds of IT use.

Employ multiple governance and operating methods. Introduce iterative methods to support changing user experiences.

Rethink architecture needs. Initiatives include segmenting into multiple speeds, simplifying legacy architecture and building an application program interface (API) layer to expose core data to faster-moving digital channels and ecosystem partners.

Bio: Dr. Kaushik Kulkarni is the Ceaser in next-gen technologies and Methodologies. Dr. Kaushik has worked from a Business Manager role to executive Director roles for a myriad of top-notch organizations like BorgWarner, Ford, GM, Chrysler, MAZDA, DANA Group, Behr, Gabriel, Cummins, North American Bus Company, Boeing, Mahindra, TATA and has played partner roles in Finance Companies like AMEX, Wells Fargo, JP Morgan Chase. Dr. Kaushik has extensive understanding of methodologies such as Connected Car, DevOps, RPA, IoT & AI.

A Six Sigma Black Belt and a PhD in Digital Transformation, Dr. Kaushik’s understanding spans Business Growth Requirements, Mergers and Acquisitions, Diversification, Process Modelling, Horizontal and Vertical Alignments on multiple business models.

He currently leads the growth of Crecer Digibots Group of Companies as the Executive Director services for which span from Digital marketing, Mobility, Cloud to Artificial Intelligence and Machine Learning.

Networking Pyramid Learning Platforms

14:30 – 15:30

Panel Discussion- Top 5 IA Mistakes, Ways to get out of the weeds if you land in a problem zone

Networking Tea/Coffee Pyramid Learning Platforms

15:30 – 15:50

Networking & Refreshment break

Bimal Panchasaral Intelligent Automation Speaker

15:50 – 16:30

RPA beyond automation

Speaker: Bimal Panchasara, Vice President – Global Head (Customer Engagement) Practice Head (RPA) at Fulcrum Worldwide

Abhinav Sabharwal Speaker at Intelligent Automation Pune

16:30 – 17:10

Future of Robotics & Automation for the next millennium

Speaker- Abhinav Sabharwal, Principal Consultant, Trainer & Author at School Of RPA

Topic Abstract – The New millennium is era of the smart cyberspace that is becoming pervasive in its nature while connecting the next generation of ultra-smart Devices. More and more companies are implementing Robotics & Automation, and in 2019, the impact of Robotics & Automation will become broader.

Within organizations, Robotics & Automation will be used in more ways and across more processes than it is today.

One new aspect of this is that Robotics & Automation will focus on external, customer-oriented processes in addition to internal processes from this point on. Part of this will happen when Robotics & Automation implementations start to move from pilots and proof of concepts to real production. While many if not most large organizations have tested Robotics & Automation,

It’s truly proven its usefulness in many situations at this point, so more organizations will take Robotics & Automation to the next level. The area is rich for innovation at this point, and new applications will certainly emerge.

Pyramid Learning Platforms End Note

17:10 – 17:30

Closing ceremony with note of Thanks & Felicitation

Intelligent Automation Forum 2019 - Pune

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