Analyst Profile

Alexander Linden

Research VP

5 years at Gartner , 33 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

Vendor Rating: Google
27-Mar-2018
Predicts 2018: Analytics and BI Strategy
26-Mar-2018
Data Science and Machine Learning Offer Five Business Benefits to Midsize Enterprises
09-Feb-2018

On-Demand & Upcoming Webinars

Key Trends in Artificial Intelligence and Machine Learning
22 March 2018

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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6 April 2018
The Future of Work and Talent: Culture, Diversity, Technology The future of work is about forging a new relationship between technology and talent that transforms existing ways of working and doing business. This Special Report helps CIOs to shape this digital future with advice on long-term scenarios to inform strategy and near-term actions to implement it.
29 March 2018
Driving Cost Optimization Across the Enterprise: An Executive Perspective Leaders across the business must connect cost optimization efforts to the organization's larger objectives. Gartner's research helps leaders in numerous business areas determine how they can work individually and together to optimize costs without undermining strategic objectives.

23 Apr 2018
Cost Optimization: Using Analytics to Optimize IT and Business Costs 9:00 AM GMT | 4:00 AM EDT Cost optimization is a business-focused, continuous discipline to drive spending and cost reduction, while maximizing business value. In this webinar, we'll review the vital role analytics play in cost optimization: finding cost reduction opportunities, evaluating their potential impact on the business, and analyzing and selecting scenarios to spend for the best business outcomes.
23 Apr 2018
Lead Digital Business in 2018 and Beyond EDT: 11:00 a.m. | PDT: 8:00 a.m. | GMT: 16:00 Digital business transformation is a journey. Most CIOs think they are executing digital business transformation, but in reality there is a big gap between desire and deliver. CIOs can close this gap by using a digital business transformation map to guide their journey. The map includes finding landing points and places of high intensity transformation with other leaders. This session will explore ways that CIOs can move their organization from desire to deliver when it comes to digital business transformation. This includes creating urgency, telling stories, finding a transformation landing point and moving into high-intensity transformation.