CORPORATE TALK SERIES

                                                    Dr. Savas Tumis

                                    (CEO, Whole Brain Strategy Co. Ltd.)

Bio: Prof. Dr. Savas Tumis has been working since 1981 in industrial companies and especially family-owned companies the same as “Hidden Champions” as a Manager, as a CEO, as an Entrepreneur with his own companies, and as a Top Management Consultant in Europe and since 1989 also in Asia.

Prof. Tumis made his PhD Degree in Engineering at the Technical University of Berlin between 1984 and 1987.He is offering his more than 35 years of experience, especially in Market Leader – Hidden Champion Companies, his managerial, entrepreneurial, and advisory experiences to your company to support your success to be a market leader company.

Prof. Dr. Savas Tumis was since 1987 the CEO of several Hidden Champions – Market Leader Companies and established also as an entrepreneur this kind of seven companies and also advised several companies in Asia since 2005. Since 1994 Prof. Dr. Savas Tumis has been applying one of the best methods in the world MLS™ to develop Market Leadership Strategies for companies for a focused niche on the know-how of a certain company, working together with the management team of the current company in internal and confidential workshops.

Dr. Evangelos Simoudis

(Founder and Managing Director Synapse Partners)

Bio: Prof Dr. Evangelos Simoudis is a recognized expert on artificial intelligence and new mobility. He has worked in Silicon Valley for over 30 years as a venture investor, senior advisor to global corporations and governments, entrepreneur, corporate executive, and technologist. He is the co-founder and managing partner of Synapse Partners, a firm that advises global corporations on AI and mobility and invests in private companies developing AI applications. Before Synapse Partners, Evangelos was a managing director at Trident Capital and Apax Partners.

Evangelos is the author of three books: “The Big Data Opportunity in Our Driverless Future,” “Transportation Transformation,” and “The Flagship Experience.” 

Evangelos is a member of Caltech’s advisory board, the advisory board of Brandeis International School of Business, the advisory board of the US Department of Transportation’s Connected Cities for Smart Mobility Center, and the advisory board of Securing America’s Future Energy.  He has served on several commissions and task forces focusing on artificial intelligence, autonomous mobility, and corporate innovation. 

He earned a Ph.D. in computer science (AI/ML) from Brandeis University and a B.S. in electrical engineering from Caltech.

Title: The Transformative Role of AI in New Mobility

Abstract: The presented talk focuses on the pivotal role of data and AI in new mobility. This encompasses new energy vehicles, mobility as a service, driverless movement, and self-propelled movement. New mobility emerges from megatrends such as climate change, urbanization, new work practices, and aging populations, all of which are reshaping how we move and transport goods. Centering the customer experience around the traveler rather than the vehicle, AI enables mobility providers to continuously update their understanding of customers. It transforms how automakers design, manufacture, sell, and service vehicles; how transportation and logistics providers maximize vehicle utilization and improve ROI; and how customers interact with vehicles, automakers, and service providers. Success in this shift requires significant technological, business model, and cultural transformations. The talk addresses:

· The shifts resulting from new mobility.

· The AI-based infrastructures that are necessary to leverage data.

· The new value chains and the opportunities they present.

· The essential transformations for organizations.

Important Deadlines

Full Paper Submission: 15th August August 2023
Final Paper Submission: 15th September 2023
Early Bird Registration 16th September 2023
Presentation Submission: 29th September 2023
Conference: 5 - 7 October 2023

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  • Best Paper Award will be given for each track.
  • Conference Record no- 59035