Bio

Manisha leads the SAS Cloud, Data & Analytics practice for Asia Pacific where she works with various customers on driving value from their analytics and decision sciences investments. Manisha is passionate about understanding and solving business problems with analytics technologies. Manisha holds a Masters degree in Machine Learning & Artificial Intelligence and a certified AI Ethics professional. Manisha is a published author on predictive analytics & financial crime topics in IEEE and ACAMS journals. She regularly speaks on topics of digital transformation, analytics in financial crime and anti-money laundering, decisioning in banking, trustworthy and responsible AI. Her recent speaking assignments include presentations and panels hosted by Regulation Asia, Asia Risk, Asian Banker, IBF, ACAMS and SAS. With experience in banking operations and analytics technologies, Manisha has advised a broad range of Tier 1 and 2 financial services organisations in Asia Pacific on their journeys to drive value from analytics and machine learning, mitigate risk and embed decisioning in compliance. Prior to joining SAS, Manisha worked for Standard Chartered Bank where she headed the transformation program for establishing a Global Centre of Excellence and Digitalising operational risk & controls assurance covering 30+ markets to safeguard the business from enterprise risks including financial crime, fraud, information security, privacy. Manisha’s contributions in the transformation initiative enabled the bank to win ‘Best Data Analytics Initiative’ at the MEA Innovation Awards 2022.