A consummate data & analytics professional, Vivek has 14+ years of solid international experience across geographies (Canada, Vietnam and India) in building & managing high-performing hugely recognized decision analytics teams resulting in substantial financial impact. Vivek has expertise in key drivers of data-driven organization namely: data governance, data management, BI and analytics/AI with a keen eye on deriving maximum value out of data.
Most recently, he served as Director, Enterprise Data Governance at 3 rd largest bank in Canada - The Bank of Nova Scotia (Scotiabank). He set up the data governance capabilities for the bank including frameworks, policies, standards and spearheaded an innovative data risk measurement and reporting mechanism.
Within one year of joining Scotiabank, Vivek received “Best of the Best 2019” award for outstanding contribution to the bank and significantly exceeding expectations of the management.

Advanced Analytics and AI are now a part of Core Strategy for Business Functions in Bank to make them even more effective. However there are many challenges on the way to establish the AI for these functions - the journey really starts from foundation analytics and eventually move towards advanced analytics and then AI. In this presentation, I would touch on the process to engage the function, identify and prioritization framework for analytic use cases, execution and deployment strategy for the build analytic solution. I will share the different types of analytics such as descriptive, predictive, NLP and Machine Learning. I will share some good example where these simple analysis has made huge business impact.

Nitesh Soni is a Director at Scotiabank where he is leading end-to-end advanced analytics and AI projects for Corporate Functions. His career spans over 15 years across top tier banks, consulting firm and world leading research institutes with a core expertise in Predictive Modeling, Machine Learning, AI and Big Data. He is a regular speaker at the various national and international conferences. While as a researcher, he has been a part of couple of major discovery experiments and has won few prestigious awards. He holds a PhD degree in Experimental Particle Physics.

Digital humans are AI-powered computer programs who can talk and behave similar to humans. Right now, digital humans are being deployed as brand ambassadors, digital influencers, customer support representatives and healthcare advisors. This talk will introduce the latest machine learning technologies behind the creation of digital humans and how they have changed the way we interact with machines.

Dr. Amir HajiRassouliha is a senior machine learning and computer vision specialist at UneeQ (https://digitalhumans.com/). He has a strong research background and an extensive knowledge of the state-of-the-art machine learning technologies.

Experienced Data scientist with knowledge in Machine learning and Big Data technologies. Profound knowledge on cutting edge AI technologies.

Machine learning plays a key role in health related realms including development of new medical procedure, patient data handling and treatment. Machine Learning has stream less applications in health care sector. This paper focus on the use case of machine learning algorithm in chronic disease prediction and risk management. Prediction gives benefit in early detection and diagnosis of chronic disease. Current Machine Learning applications include diagnosis of medical imaging, crowdsourcing of medical data collection, Drug discovery, personalized medicine and automatic treatment and recommendation. We focus on the following use cases like prediction of chronic kidney disease using machine learning algorithm and Cancer detection in this paper. Chronic disease is the cause for major health problem. Predictive analytics plays a vital role diagnosis and forecasting treatment. Further we focus on the metrics like Receiver Operating Characteristic (ROC), Confusion metrics, accuracy, sensitivity and specificity to analyse the effectiveness of the algorithm.

Dr. S. PitchumaniAngayarkanni has 18 years of teaching experience as Associate Professor in the Department of Computer Science in Lady Doak College, Madurai, Tamil Nadu, India. Worked as Research Associate in Wayne State University, Detroit, USA during the period March 2020 – June 2020. Received my PhD from Karunya University in 2017. Have 23 Research Papers published in peer reviewed journals, 3 best papers in International Conference and 12 papers presented in International Conferences. Area of Specialization includes Computer Vision. Machine Learning, Natural Language Processing and Data Mining.

With the availability of new tools, the ability of models to identify nuanced data patterns that relate to credit risk has become plausible. By using the right technology /tool a strong ,robust, palatable analytical solution can be identified which can be identified which can provide significant improvement in model performance over a traditional complex models brings different challenges from usage perspective.

Balakerthy is the regional Head of retail risk models at HSBC Asia Pacific Region. He manages both regulatory risk and business risk models and is responsible for delivery of advanced analytics projects including development of machine learning and AI Models and strategies.
He has extensive experience in building and managing credit analytics function for retails and wholesale products across different markets. He has led successful interaction with regulators ,audit and independent review functions.

Karan is the Director for Watson and AI Applications in Asia Pacific. His current mission is helping customers unlock value from their data using Watson and IBM AI applications in combination of open source and partner ecosystem. With over a decade of experience in Data and AI senior leadership and executive management positions, Karan has delivered sustained growth consistently in business through innovative customer and channels strategy. Prior to IBM, Karan also held executive level positions at Cloudera, Informatica and HCL Technologies.
A technology and business thought leader, Karan has been the keynote speaker for many events across Asia Pacific and USA. Karan has been named IBM cloud engagement champion to inspire and engage more than 10000+ employees of IBM Cloud Asia Pacific. He is the founding member of Data and AI forum and has been featured in leading company blogs and publications.