Dwijendra Dwivedi
EMEA AI and IOT Leader at SAS

Artificial Intelligence evangelist and Business Analytics subject matter expert. Leading Analytics & AI practice for EMEA at SAS helping organizations in enablement of AI applications. Thought leader in bridging the gap between business needs and analytical enablers and to drive analytical thinking into successful business strategies.

Over 17 years of experience in applying analytics across different industries, e.g., BFSI, telco, utilities, aviation and government, and in various functional areas, e.g., risk and marketing. Conducts business analytics seminars and workshops, for the executive audience and also for power users.

LinkedIn  •  E-Mail    


Gupta, A., Dwivedi, D.N. and Jain, A. (2021), "Threshold fine-tuning of money laundering scenarios through multi-dimensional optimization techniques", Journal of Money Laundering Control, Vol. ahead-of-print No. ahead-of-print.

Gupta, A., Dwivedi, D.N., Shah, J. and Jain, A. (2021), "Data quality issues leading to sub optimal machine learning for money laundering models", Journal of Money Laundering Control, Vol. ahead-of-print No. ahead-of-print.

Speaker engagements

2021Faculty Development Program on Empowering Social Life using Artificial IntelligenceAI Foundation Trust, IndiaInternational Association for Responsible Artificial Intelligence (IARAI)
2021A Text Mining-Based Approach For Accessing Ai Risk IncidentsInternational Conference on Artificial Intelligence (ICAI2021) AI Foundation
2021Identify Key themes of approved scientific research post COVID in United Arab Emirates and WHO using text mining: A comparative study3rdInternational Conference on Data & Information ScienceRBS Engineering Technical Campus
2021Sentiment analysis and topic modeling on data quality and data challenges that organizations 30th Skad Conference Department of Statistics PUEB
2021Benchmarking of traditional and Deep Learning time series modelling techniques for prediction of rainfall in United Arab Emirates7th International Conference on Time Series and ForecastingUniversidad de Granada Spain
2020Trustworthy AIAIJorney 2020AIJ