Analyst Profile

Alexander Linden

Research VP

4 years at Gartner , 32 years industry experience
Germany

Roles and Responsibilities

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: Despite good conceptual understanding, my coverage does not include conversational interface, Q&A systems, chat bots).

Areas of Coverage

Business Intelligence

Alexander Linden's Recent Gartner Activity

Latest Research

Five Ways Data Science and Machine Learning Deliver Business Impacts
19-Oct-2017
Deep Learning Enables a Quantum Leap in Content Processing
29-Sep-2017
Organizational Principles for Placing Data Science and Machine Learning Teams
18-Sep-2017

Background

Previous Experience

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.

Professional Background

GE, Senior Data Scientist, 2 years
GMD German National Lab for Computer Science, Computer Scientist, 5 years
Gartner, Research VP, Emerging Trends and Technologies, 11 years

Industry Awards/Accolades

GE Management Award 1997 (built in-memory analytics that uncovered $xx million of losses)
Gartner Silver Award 2003 (initiated annual Hype Cycle Special Report)
Postdoctoral Fellowship 1994, International Computer Science Institute, Berkeley

Education

M.S., with distinction, Computer Science (Computational Linguistics minor), Bonn University
Ph.D., Machine Learning/Computer Science, Bielefeld University

Languages

English
German

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3 October 2017
Top 10 Strategic Technology Trends for 2018 The intelligent digital mesh is a foundation for future digital business and its ecosystems. To create competitive advantage, enterprise architecture and technology innovation leaders must evaluate these top trends to identify opportunities that their organizations can exploit.
29 September 2017
Maverick* Insights Drive Creative Destruction of Business as Usual: A Gartner Trend Insight Report Digitalization's pace and scale subverts conventional business thinking with constant "creative destruction." Faced with such turmoil, IT and business leaders must think and act in unconventional ways for their organizations to thrive. (Maverick research exposes unconventional thinking and advice.)

23 Oct 2017
The Disruptive Potential of Blockchain Technology EDT: 11:00 a.m. | PDT: 8:00 a.m. | GMT: 15:00 Everyone is talking about blockchain, but there's a great deal of misunderstanding around this disruptive innovation. We find that 90% of enterprise blockchain projects actually don't need blockchain technology, and in fact would be better off without it. This session covers root causes for this misalignment, shows how to deal with avoidable mistakes in blockchain projects and how to conceive realistic projects that will deliver business value.
24 Oct 2017
Monetizing Public Cloud Opportunities in China, Russia and India EDT: 9:00 a.m. | PDT: 6:00 a.m. | GMT: 13:00 All IT markets are directly or indirectly disrupted by Cloud Services. Gartner predicts that through 2020 the Cloud shift will grow to $216 Billion. The magnitude of the cloud shift varies by market segment and geographic region. With this shift, incumbent infrastructure providers are exploring ways to defend their traditional business model. In this session, we'll provide Business Unit leaders at IT providers guidance on how they can benefit from the cloud shift in emerging markets.