We are pleased to invite you to our Wednesday Research Seminar. It will be held on 2 October from 4pm, at Middlesex University Dubai in the Oasis Theatre, Block 16, Knowledge Park.
Wednesday Research Seminar Series was launched in 2008, and has featured more than 250 presentations to date. The seminars provide a forum for researchers to share their work. Presenters include faculty from Middlesex University Dubai and other universities in the United Arab Emirates, as well as researchers from other global institutions. Dr. Krishnadas will deliver seminar on:
“An investigation of common factors in successful data science projects: A journey of three use-cases’”
With data becoming the new oil of the 21st century, organizations are in constant pursuit of making informed data-driven business decisions. Analytics capabilities have leaped forward in recent years, and the amount of data collected by organizations has grown exponentially. The convergence of sophisticated algorithms, computational power, and cheap storage is fuelling rapid technology advances and business disruptions. However, ‘Data and AI Executive 2019 survey’ reported that only 31% of participating firms were truly data-driven organizations. IBM report also revealed that 87% of the data science projects never made it into the final production stage. This seminar aims at investigating the factors that contribute to the success of data science projects in business. I present my experience with three projects in data analytics that work on a business dataset and data science algorithms for generating efficacious business value:
- Product Delisting in Retail- Given an option, which product would you remove from the product assortment in a retail store?
- Keystroke Dynamics- Can your passwords be more secured if machines understand your typing behavior?
- Park Assist- Can image recognition find your car in the parking lot of a mall in real-time?
The journey of these use-cases, along with the insights from the literature led to the development of a data science project framework. This framework highlights the factors that contribute to the success of data science projects in business. I will be sharing initial results to get feedback that would assist in a broader content analysis research involving a sizable collection of use-cases.
Dr. Krishnadas is an Associate Professor in Data Science (Computer Engineering and Informatics department) at Middlesex University Dubai. In his previous role @ Majid Al Futtaim (MAF), he was responsible for leading the efforts of enhancing Analytics and Data Science capabilities at MAF as the head of School of Analytics. Before joining MAF, he was teaching Data Science, MIS and Cloud Technologies at Middlesex University Dubai, Institute of Management Technology (IMT Dubai) and IIM Indore. He has executed several corporate training programs and Data Science consulting assignments with prestigious firms in UAE (PWC, Landmark Group, National Bank of Fujairah, UAE Exchange and others). He has been the Keynote Speaker at several forums including Gitex Technology Week IIM Ahmadabad Data Science Summit, Smart Data Conference, Droidcon, Machine Learning Summit, Abu Dhabi Quality Council and several conferences.
He received his Ph.D. from the Indian Institute of Management Kozhikode (IIM K), and his thesis covered the areas of Green IT (Sustainability Analytics) and Cloud Computing. His career started as a Computer Science engineer (B.Tech CSE), and he had successful professional experiences with Microsoft Research and Honeywell. He won the best paper award (2018) for his research work on "Using Data Analytics to Deliver Dynamic Safety Predictions for Reduction in Traffic Accidents." He was also awarded ‘Sustainability Researcher of the Year’ award by Dr. Rashid Alleem at Alleem Congress. His other awards include the SAS Ambassador Award, Wings of Excellence award (St. Gallen), Emerald LIS research fund award, and Acer Green Innovation award.
We look forward to welcoming you at the seminar.
If you are interested in presenting at one of our future seminars, or would like to recommend someone, please contact: email@example.com