Join us virtually on Friday, March 26th, 2021 hosted by Bentley University for the 6th Analytics without Borders conference. This conference is a forum for all ways of analytics life to present and discuss analytics work, be it from corporate institutions, academia, government organizations etc.
All groups will be able to interact with each other and thus build bridges between the different analytics constituencies. Anyone who does anything with data is warmly invited to present their work.
Our 2021 programming introduces a new student research competition, open to undergraduate and graduate students, under Analytics without Borders.
Call for Abstracts
The Analytics Without Borders conference invites students, faculty, and practitioners to submit abstracts for presentations at the Analytics Without Borders annual conference. The abstract submission is open now. The deadline is Mar 1st 2021.
$10, Students from partner schools (Bentley, Bryant, Tufts and UMass at Lowell)
$15, Faculty and Staff from partner schools (Bentley, Bryant, Tufts and UMass at Lowell)
$ 0, Speakers, Session Chairs, Panelists
$25, General registration
Additional program details will be made available as soon as they are ready! The full program will be available mid-March.
Morning Keynote Speaker
Ren Zhang, PhD, Chief Data Scientist, BMO Financial Group
"How AI is changing the financial service industry?"
With a combination of an explosion of data, technological advancements and improved maturity of several promising techniques, artificial intelligence has demonstrated the potential to transform the entire financial services industry. It helps to provide relevant customer experiences, enhanced operational efficiencies, prudent credit risk decisions, proactive fraud detection and optimal price assignments. Though the potential impact is big, the transformation through AI comes with its challenges. It ranges from talent, data, technology, organization awareness, and regulatory support.
Ren Zhang, Chief Data Scientist at BMO Financial Group, will speak about how the application of AI can support transformational initiatives in the financial service industry and discuss mitigation strategies to address challenges that may arise.
Ren is the Chief Data Scientist for BMO Financial, leading the Enterprise AI CoE, in charge of defining the Enterprise Data Science and Intelligent Process Automation strategy, driving adoption of AI and Machine Learning capabilities to automate processes and deliver better predictive decisions that will help the businesses drive accelerated revenue, cost productivity and customer outcomes.
Ren has over 15 years experience as a senior AI leader within various financial organizations. Prior to BMO Financial, she worked at Prudential Financial, where she was Vice-President and Head of Data Science. Prior to Prudential, Ren was Executive Director of Data Science and Innovation at Commonwealth Bank of Australia. And at American Express, she held progressively senior leader roles, ranging from credit risk management, to loyalty analytics, to fraud risk strategy, and to risk capabilities, with her last being Vice-President, Risk and Information Management of Enterprise Growth. Ren holds a PhD in Statistics from The Wharton School at the University of Pennsylvania.