Keynote Speakers
Love Charmaine Uychoco
Founder, Prodigy Bureau Global Women Speakers, United Arab Emirates.
Founder, Prodigy Bureau Global Women Speakers, United Arab Emirates.
Chris Salem is an accomplished CEO, executive coach, world-class keynote speaker, award winning author®, and radio show host & media personality. He mentors business leaders and organizations to scale their brands and business by raising their level of influence as trusted advisors. In addition, he provides custom solutions for enhancing corporate culture, improving workplace communications, increasing employee engagement, and exceeding customer requirements. His book Master Your Inner Critic / Resolve the Root Cause – Create Prosperity went international best seller in 2016. He also co-authored the recent edition to “Mastering the Art of Success” with Jack Canfield. His weekly radio show Sustainable Success is part of the Voice America Influencers Channel. Chris has worked with organizations such as JP Morgan – Chase, Ralph Lauren, Microchip Technologies, Raytheon, United Healthcare, GE Research, US Senate, FDA, and NYPD Forensics Dept. He’s an Adjunct Faculty member at the University of Hartford and Westchester Community College.
Upendra is the Chief Security Officer of Snap Finance, a leading Omni channel digital first fintech and POS lender, where he leads cyber security while building new platforms to enable growth opportunities.
He is a regular speaker at esteemed conferences for Stanford University, Global Big Data Conference, NFC forums, European Identity Conference; KNOW Identity Conference, Global Retail Conference in Canada, IOT conference and others. Featured in Genius Journal, he helped pioneer blockchain in Amex and filed patents on blockchain and DLTs.
He is an advisory board director for select security start-ups and helps venture capitalists evaluate companies. He holds an MBA from Santa Clara University, California and Bachelor of Engineering in Computer Science from VNIT, Nagpur, India. He is credited with 95+ patents issued and pending and has received awards for innovation and leadership.
Biography
Sophia Kovalets is an experienced Data Scientist at CHI Software development company. With a Master’s degree in Applied Mathematics from the Taras Shevchenko National University of Kyiv, Ukraine, she has 3 years of practical experience as a Data Scientist on international projects.
One of Sophia’s areas of interest is state-of-the-art machine learning models for time series-related problems.
Sophia has practical experience in NLP and computer vision domains in all product and software development phases: from ideation and analysis, through implementation and testing, to solution deployment.
Certifications:
Biography
“Davor is a co-founder and Chief Executive Officer at Kaskada, a machine learning startup. Kaskada transforms data science with the first system for iterative time-based feature engineering, significantly improving quality and availability of machine learning to many more companies. Previously, Davor served as the chair of the Apache Beam Project Management Committee and an engineer in Google Cloud since its early days and the inception of Cloud Dataflow. Davor holds a Master’s degree from the University of Washington.”
Biography
Dr. Phil. Sophie Brüggemann is a leading Data Strategist and Engineer in the media technology
sector. Her intuition for data management and consumer analytics enabled her to incorporate
D2C insights into multi-lateral data strategies at multiple companies. She carries this forward in
her current role as Data Strategy & Engineering Lead at the media & education technology
provider Pearson. She previously held positions at Warner Music, Gracenote and Sony Music
and graduated with honours at LMU Munich, upon completion of her doctorate in 2020. Sophie
regularly shares her expertise as keynote speaker, guest lecturer, and co-author of scientific
literature.
Biography:
Dr. Shakti Goel is a hardcore technologist, product specialist and an absolute lover of data and analytics. He has 22 years of experience building some of the most complex applications where decision making was based on trends in data and business heuristics. Shakti has worked for major Fortune 500 companies such as American Stores, Oracle, State Street Corporation, Wellington Management, Bank Paribas, Raytheon and Fidelity Investments. He has worked in several industrial verticals such as Banking, Transport and Logistics, Retail, Travel, Financial Markets, Healthcare, Life Sciences and Pharmaceuticals and Government Agencies. Currently, he is the Group Chief Data and Analytics Officer at TBO.COM, largest B2B company in India in Travel domain and with clients in 125+ countries. In his present role, he has promised to transform TBO.COM into a data savvy company where everyone speaks one language – data. Recognizing that data is Corporate Currency, Shakti is involved in an ambitious project of building an enterprise-wide data warehouse across all lines of businesses in Travel domain. He is instrumental in setting up the Data Science Centre of Excellence focusing on latest Machine Learning techniques such as Deep Neural Networks and LSTM to make sales forecasts at different levels of product and geographical hierarchies and using encoder and decoder techniques to predict what sells next, when and where. ML techniques are deployed to display search results as if the search algorithm has read the user’s mind. In the past, Shakti has worked as Chief Product and Technology Officer at Faircent (largest p2p lending company in India), Chief Technology Officer for the Financial Inclusion and Banking division of Hindustan Computers Limited Infosystems and as the CTO of Aakash Educational Services, largest company in education sector in India.
Shakti has a PhD from Massachusetts Institute of Technology (Cambridge, USA); specialization in finance from Sloan School of Management; and a B.Tech from Indian Institute of Technology, Delhi. In his research, Shakti worked on the supercomputer CRAY C-90 to run optimization models to determine the best atmospheric conditions leading to minimal ozone and smog formation in the Los Angeles basin.
Shakti is a frequent speaker at conferences on technology and data sciences. He says that he thoroughly enjoys reading about String Theory and the Origin of Universe. The Elegant Universe by Brian Greene is his favorite. As a foodie, he is developing expertise in cooking western, middle eastern and Indian cuisines.
D. Litt, Honorary (Honoris Causa) in Data Science & AI, from George Washington University, USA a triple MBA and a Mechanical Engineer by qualification, Prashant is also pursuing Ph.D. in Innovation Incubation and Management.
Prashant is an innovator at heart and an entrepreneur by profession. With a passion for innovation, product incubation and digital transformation, he bootstrapped Inteliment in 2004 and Rubiscape in 2020. Prashant’s strengths are in identifying and investing in next-generation technologies and fostering innovation culture.
Prashant has been the driving force in growing Inteliment since from its inception as a globally respected Bigdata Analytics Company operating in Australia, Singapore, and Europe partnering with 100’s of fortune companies.
Recognized as ‘CEO of a Fast-Growing Company’ by Deloitte, Prashant has been part of NITI Aayog’s various initiatives and think-tank. He is a part of Maharashtra’s Chief Minister’s Digital Transformation Council and is on NASSCOM’s National Product Council, a Mentor for Atal Mission 2020 Program. A former Chairman of the Indo-American Chambers, he was also invited on the Global Partner Analytics Advisory Council by SAP Labs, USA.
As an investor, advisor, and mentor, he has helped several start-ups and researchers. He has served numerous positions at various Chambers of Commerce and Industry Associations and has made significant contributions and high socio-economic impact thru CSR projects.
Anh is a passionate Data Scientist and an active public speaker who has a solid international background in data analytics and data management across Asia and Europe. With more than 11+ years of experience in different industries such as finance, ride-hailing, travel technology, manufacturing and wholesale, she is keen on bringing to the audience her unique perspectives, best practices and know-how when it comes to applying disruptive technologies.
Farah JEMILI had the Engineer degree in Computer Science in 2002 and the Ph.D degree in 2010. She is currently Assistant Professor at Higher Institute of Computer Science and Telecom of Hammam Sousse (ISITCOM), University of Sousse, Tunisia. She is a senior Researcher at MARS Laboratory (ISITCOM –Tunisia). Her research interests include Artificial Intelligence, Cyber Security, Big Data Analysis, Cloud Computing and Distributed Systems. She served as reviewer for many international conferences and journals. She has many publications; 6 book chapters, 6 journal publications and more than 20 conference papers.
Okyay Kaynak received the B.Sc. degree with first-class honors and PhD degrees in electronic and electrical engineering from the University of Birmingham, UK, in 1969 and 1972 respectively.
From 1972 to 1979, he held various positions within the industry. In 1979, he joined the Bogazici University, Istanbul, Turkey, where he is currently a Professor Emeritus, holding the UNESCO Chair on Mechatronics. China. He has held long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, the U.S., Singapore, and China. His current research interests are in the fields of intelligent control and industrial AI applications. He has authored four books, edited five and authored or co-authored more than 450 papers that have appeared in various journals and conference proceedings.
Dr. Kaynak has served as the Editor in Chief of IEEE Trans. on Industrial Informatics and IEEE/ASME Trans. on Mechatronics as well as Co-Editor in Chief of IEEE Trans. on Industrial Electronics. Additionally, he is on the Editorial or Advisory Boards of several scholarly journals. In 2016, he received the Chinese Governments Friendship Award and Humboldt Research Prize. Most recently, in 2020, he received the International Research Prize of the Turkish Academy of Sciences. He is a member of this Academy.
Dr. Kaynak is active in international organizations, has served on many committees of IEEE and was the president of IEEE Industrial Electronics Society during 2002-2003. He was elevated to IEEE fellow status in 2003.
AI & ML have become the frontier for digital transformation. However, many companies are struggling with getting real business value and many ML projects are getting stalled due to risk and compliance concerns around black-box AI and scaling bias. 96% of organizations run into problems with AI and machine learning projects due to lack of trust in data and models across siloed functions according to a Dimensional Research report and 90 percent of all machine learning models never make it into production, according to VentureBeat. This session will discuss the important role of Responsible AI Framework and tools to drive end to end data and model transparency and trust. Topics will include real-life examples and challenges from early adopters on driving Responsible AI implementation to improve AI governance and control and accelerate adoption of Enterprise AI.
Biography:
Ashley is an engaged and innovative leader who has always had a deep interest in advancing the public good. Recently leaving her long-standing career in the public service where she was last Director of Data and Digital for the Government of Canada, she has now taken on the role of Executive Director of Responsible AI Institute, a non-profit dedicated to creating practical tools to ensure the responsible use of AI.
As a recognized leader in the social tech community she has developed a strong reputation for developing workable governance for data, artificial intelligence, and open source tools. Her work and ability to bring experts together to solve important challenges has led to meaningful change in government and beyond. Her work helps to inform government, industry, and academic research. She is also Chair, Responsible AI Certification Working Group, World Economic Forum.
Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland. From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999.
Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical me
RECONSTRUCTION of MULTIDIMENSIONAL DATA on INTELLIGENT TECHNOLOGY and ARTIFICIAL INTELLIGENCE
Artificial Intelligence is applied for prediction and calculations of unknown values of data or coordinates. Decision makers, academicians, researchers, advanced-level students, technology developers, and government officials will find this text useful in furthering their research exposure to pertinent topics in AI, computer science, numerical analysis or operations research and assisting in furthering their own research efforts in these fields. Proposed method, called Two-Points Smooth Interpolation (TPSI), is the method of 2D curve interpolation and extrapolation using the set of key points (knots or nodes). Nodes can be treated as characteristic points of data for modeling and analyzing. The model of data can be built by choice of probability distribution function and nodes combination. TPSI modeling via nodes combination and parameter γ as probability distribution function enables value anticipation in AI, risk analysis and decision making. Two-dimensional curve is extrapolated and interpolated via nodes combination and different functions as continuous probability distribution functions: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function.
Effective communication is possibly one of the most neglected skills in today’s social media driven society. Our speaker here today will help us learn that when connecting with people will improve our communication both personally and professionally. He has over 35 years of experience of public speaking and during his tenure in the military, private industry, non-profit, and federal government he has led with authentic yet transformational leadership which makes him a sought-after executive coach, and trainer. He has coached individuals and groups from entrepreneurs, non-profit business owners, academia leaders, public servants, government executives, and community leaders. Through the coaching his clients have seen extreme performance improvements that has impacted their bottom line and the return on investment is outstanding! Through the executive coaching, empowering speeches, and professional development training he has helped make individuals and organizations successful. This is done through inspiring leaders to define clear vision, mission, and value systems that leads to exponential personal, professional, business and team growth. Kevin has been recognized as a winner of the BIG Region XI President Leadership Award and was awarded the Virginia Professional Leadership Award. Now as a John Maxwell Team trainer and coach he has coached individuals and companies to improve their results and achieve increased productivity through leadership, communication, personality assessment, personal and professional
growth trainings.
Training:
In the workshop A Seat At The Table: Candid Conversation on Diversity, Equity, and Inclusion…” Are you ready to talk?”, the audience will participate in an interactive training, that will help them think differently about Diversity, Equity, Inclusion, and Justice. We will remove misconceptions, and stereotypes and engage in thought provoking dialog that will be the catalyst for change and acceptance of everyone in this high-octane social unrest environment. I guarantee that the audience will leave with at least 5 to 10 practices and principles they can activate in their personal and professional lives immediately.
Learning Points:
• Understand the importance of establishing a Culture for your organization
• Differentiate clearly between Diversity, Equity, and Inclusion
• Understand why Unconscious Bias can tear down an organization
• Understand a new way of working together in a cohesive environment
• Distinguish the difference between Microaggression and Macroaggression
• Develop best practices to follow to circumvent a hostile work environment
• Answer open-ended questions to help you take an introspective look at how you are the catalyst for change!
Effectiveness of Bayesian Optimization
Quite often in machine learning, the data scientists need to model an unknown function for a process which is compute expensive. Hence, Bayesian optimization which is built upon Bayesian inference and gaussian process is very useful, as it optimizes the high-cost functions in minimum possible iterations. The posterior distribution of such functions continues to improve as more and more observation become available.
Bayesian optimization works on the principle of exploration-exploitation trade-off, thereby resulting in a combination of parameter space that is closest to the optimal one in minimum number of iterations.
Biography
She is a Staff Data Scientist at Walmart Global Tech India with over 10 years of experience across various domains like ecommerce, supply chain, advertisement and risk analytics. She is a gold medallist in engineering, an FRM charter holder, an inventor and a recipient of the best innovation award.
She designs AI/ML solutions for organizations across the globe, helping them make smarter and more efficient business decisions. She is an advocate for “Responsible and Ethical AI” and promotes AI for social good.
Biography
Ruma Mukherjee is a Principal Engineer and AI-ML Expert at Intel, India. She is passionate about data analytics and has expertise in a wide range of qualitative and quantitative techniques in the areas of statistics, big data, IoT, NLP, ML and cloud-native computing.
She has around 20 years of industry experience in companies like IBM Labs, Juniper Networks and Novell. She is a versatile speaker and has multiple patents and publications to her name.
Ruma holds a Masters in Computer Science from ISI Kolkata and B.Tech. from IIT Kharagpur.
