Future of Work for Business Analysis with Analytics & Smart Machines
There is no doubt that computers are increasingly capable of doing things that humans could once do exclusively. Smart machines are gaining human capabilities: recognizing voices, processing natural language, and interacting and learning with the physical world through vision, smell, touch, mobility and motor control. In some cases, these machines do a much faster and better job than people at recognizing patterns, performing rule-based analysis from very large amounts of data, and solving structured and unstructured problems. Moreover, of course, data & analytics are on the core of this smart-machine enabled digital transformation. It is obvious that the role of a Business Analyst in 2020 will become increasingly digital-focused. According to IBM, the number of job profiles for all US business analysts who are analytics & digital-savvy is set to increase from 364,000 openings to 2,720,000 in next few years. We will discuss about how to become next generation Business Analysts who collaborate with smart machines to co-create value.
Milgard Endowed Professor of Service Innovation & Business Analytics at UW-Tacoma
Founder & Director of Center for Business Analytics, and Master of Science in Business Analytics
awarded consultant, accomplished scholar (~ 15 years), active applied researcher, cross-disciplinary teacher, effective mentor, invited
speaker, productive author (150+ pubs) and professional student. His achievements brought him a global leadership and reputation in co-
creation of value and service innovation with out-tasking, complex data, analytics, machine learning, artificial intelligence, intelligence
augmentation and service-oriented technology & management.
He has more than 20 years professional experience advising more than 40 Fortune 500 companies like IBM, GE, Cisco, HP, Intel, American
Express and others in maximizing the return on companies’ resources by effectively implementing strategic data, analytics, cognitive and
service transformation solutions. In 2014, he was ranked 5 in Top-100 World-wide Researchers (the Association for Information Systems
sanctioned rankings). He also received four IBM Faculty Research Awards as a result of his analytics and cognitive business models