Dr. Andreas Becks
Head of Customer Advisory Insurance
Digitalization, big data analytics, AI and machine learning are already disrupting industries. While the buzz and hype have captured the popular imagination, there are serious implications for businesses, including the insurance sector. Driven by new competition from insuretechs, massively changing customer expectations, and increasing regulation, traditional insurers are facing transformation on a scale never seen before.
Navigating through this level of change means CEOs, Chief Marketing and Sales Officers, Chief Digitalization Officers and CIOs need to reimagine their business models, supporting processes and skills. Machine learning, AI and the human:algorithm partnership will be important elements. These will address aspects of customer experience, cost reduction, productivity, and definition of fully digitalized products. Nothing short of full cultural change in their organizations is required.
Having worked with numerous international customers across industries, Andreas specializes in how to take advantage of and generate value from analytics and AI. He combines interdisciplinary skills with a solid scientific background in artificial intelligence, psychology and business administration. As a thought leader, public speaker, blogger, author of specialist articles, and trusted advisor he supports leaders to shape and foster technology-enabled business innovation.
Prior to his managing position at SAS, he held various senior positions in research and development, as a business and solution architect and in the strategic product management of a software company. Andreas owns a degree as a computer scientist, holds a Ph.D. in Artificial Intelligence from Aachen Technical University as well as an MBA from the University of St. Gallen.
|2019||Artificial Intelligence & Ethics - Fairness, Accountability, Trust.||13th Annual Transatlantic Business Conference, Berlin||American Chamber of Commerce|
|2019||Raus aus dem Labor, rein in die Geschäftsprozesse: Praxisbeispiele und Anforderungen für |
Künstliche Intelligenz in der Versicherung.
|24. Kölner Versicherungssymposium||TH Köln|
|2019||KI-Entscheidungen erklärbar machen.||Stuttgarter Zukunftssymposium||Giordano-Bruno-Stiftung, Weltethos-Institut, Integrata Stiftung|
|2019||Artificial Intelligence: Applications, Technologies, and Processes in Financial Services.||EMEA Experience Analytics Boot Camp and Summit, Berlin||Deloitte|
|2018||Maschinelles Lernen erfolgreich umsetzen: Von der Idee zur Operationalisierung.||Keynote Innovation Day Artificial Intelligence, Köln||InsurLab Germany|
|2018||From Algorithm to Moneymaking: How to Successfully Operationalize Machine Learning.||Conrad Digital Day, Hirschau||Conrad Electronics|
|2018||Vom Algorithmus zum Geldverdienen: Wie Sie Methoden der Künstlichen Intelligenz erfolgreich operationalisieren.||14. Predictive Analytics Konferenz, Wien||Data Technology|
|2017||Maschinelles Lernen verändert Geschäftsprozesse.||JBF one: Future. Now., München||Fiducia|