Data Science and Cognitive Analytics(™): A Practitioner's Point of View

Data Science is rapidly becoming a mainstream and mission critical function across enterprises. What does it mean from a practitioners point of view – what business value and return on investment are expected, what types of problems are encountered in the field, what daily tasks are typically performed, which techniques and tools are frequently used, what challenges must be overcome?

Trends of blending Artificial Intelligence and Cognitive Computing with Data Science are also presented and discussed.

This talk presents a point of view from industry and consulting practice and intends to generate thoughts and discussion on the role of Universities performing research and preparing specialists in the data science field.

About the Speaker

Petrov is Group CTO for Cognitive AnalyticsTM which is part of the Enterprise Science practice at Deloitte Consulting LLP. Petrov is a technology expert and seasoned technology executive with a track record of delivering advanced analytics and transactional products for industries such as robotics, transportation, wireless communications, computer and software, airline, financial and healthcare. Petrov’s role includes defining and executing on technology strategy through a combination of product development, strategic partnerships and technology acquisitions. His responsibilities are at the multi- disciplinary intersection of Cognitive Computing, Artificial Intelligence, Analytics, Big Data and Cloud Computing. His team curates and implements advanced technologies that were in research labs just a few years ago, assembles and operationalizes them into cutting edge products and solutions that are practical, efficient, secure, and reliable in solving real-world business problems through disruptive innovation deployed at scale.

Petrov has held numerous research, advanced product development and executive leadership roles in his 25+ year career in diverse companies such as Convergys, Motorola, Sun Microsystems, United Airlines, Blue Cross Blue Shield Association, and Deloitte Consulting. His areas of expertise include Artificial Intelligence, Probabilistic Decision Models, Software Architecture, Enterprise Architecture, Heuristic Search Algorithms, Machine Learning, High Availability Computing, Information Management, Data Science and Analytics.

Petrov is Adjunct Faculty with the Computer Science Department at Loyola University Chicago and Lecturer with the College of Computing and Digital Media at DePaul University where he regularly teaches advanced graduate courses in Computer Science and Software Engineering. Petrov holds a Ph.D. in Computer Science with a specialization in Artificial Intelligence and Software Architecture from the University of Illinois at Chicago, a Master of Engineering Management (MEM) from Northwestern University, a M.S. in Computer Science from Loyola University Chicago, and a B.S. in Electrical Engineering and Computer Science from the Technical University of Sofia.

Event Topic

Data Science