Alexander Linden is a Research VP, specializing in data science, machine learning and advanced algorithms. Dr. Linden helps clients with making buy vs. built vs. outsource decisions, various themes of data science governance, and aims to track the cutting edge in machine learning and artificial intelligence. (Note: His coverage does not include data infrastructure, business analytics, reporting, RPA, conversational interface, chatbots.)
Prior to rejoining Gartner, Dr. Linden was an entrepreneur, advising The World Bank and Fraunhofer, and he founded two companies himself, one of which, clickworker.com, is still at the forefront of applying microwork (crowdsourcing) to text and image analytics, metadata extraction, and open innovation.
Dr. Linden had his first stint at Gartner from 1998 to 2006, where he left as Research VP, Emerging Technologies. During that time, he was worldwide lead on advanced analytics, data mining and semantic technologies, and he initiated Gartner's ongoing series of annual Hype Cycle special reports. Before that, Dr. Linden assumed various midlevel to senior roles at GE and Dresdner Bank as a Data Scientist.
Senior Data Scientist
GMD German National Lab for Computer Science
Research VP, Emerging Trends and Technologies
Data and Analytics Leaders
Analytics, BI and Data Science Solutions
Postdoc, UC Berkeley
Ph.D., Machine Learning/Computer Science, Bielefeld University
M.S., Computer Science (Computational Linguistics minor), Bonn University
1How machine learning and data science can bring business benefit?
2How to build, nurture and place data science teams inside the organization?
3How smart systems, machine learning, data science, artificial intelligence, cognitive systems will develop?
4How deep learning or deep neural nets can be applied to business?
5What are the software tools that make this all happen?