Palo Alto, California, United States
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  • Synapse Partners

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Publications

  • The Flagship Experience: How AI and Software-Defined Vehicles Will Revolutionize the Automotive Customer Experience

    Amplify Publishing

    Megatrends such as climate change, urbanization, new work practices, and aging populations are starting to impact how we move and how we transport goods, as well as the decisions we make about consumer transportation and logistics. The Flagship Experience discusses how Software-Defined Vehicles and AI will enable automakers, transportation providers, and transportation planners to reimagine the mobility customer experience, and presents a framework for implementing it.

    Software-Defined…

    Megatrends such as climate change, urbanization, new work practices, and aging populations are starting to impact how we move and how we transport goods, as well as the decisions we make about consumer transportation and logistics. The Flagship Experience discusses how Software-Defined Vehicles and AI will enable automakers, transportation providers, and transportation planners to reimagine the mobility customer experience, and presents a framework for implementing it.

    Software-Defined Vehicles will center the customer experience around the customer, not the vehicle. Combining AI with vehicles’ big data generation, configurability, and updatability provides automakers with recurring customer-monetization opportunities. It impacts how automakers design, make, sell, and service vehicles; how transportation and logistics providers maximize their vehicles’ utilization and improve the return on their investment; and how customers (both consumers and businesses) interact with the vehicle, the automaker, and numerous service providers. To succeed in making this shift, organizations will need to undertake important transformations. The Flagship Experience analyzes the approaches already taken and outlines additional ones that will be necessary.

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  • Transportation Transformation: How Autonomous Mobility Will Fuel New Value Chains

    Corporate Innovators

    Transportation Transformation presents a vision of urban mobility arising from the interplay among 3 major groups: automakers, on-demand mobility services companies, and cities. It describes the transformations these groups must undertake in order to collaborate effectively and transform urban passenger transportation and goods delivery. It presents the new value chains that will form as a result of this transformation, the business models that will be employed to monetize new forms of value…

    Transportation Transformation presents a vision of urban mobility arising from the interplay among 3 major groups: automakers, on-demand mobility services companies, and cities. It describes the transformations these groups must undertake in order to collaborate effectively and transform urban passenger transportation and goods delivery. It presents the new value chains that will form as a result of this transformation, the business models that will be employed to monetize new forms of value, and explains the risks arising from the use of data and AI in urban mobility.

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  • The Big Data Opportunity in Our Driverless Future

    Corporate Innovators

    From Detroit to Germany, Japan, and Korea, within the incumbent automotive industry there is amplifying conversation about the magnitude, extent, and timing of the disruption that will result from the introduction of driverless vehicles. This disruption will in turn result from changing attitudes toward car ownership and innovations in technology and business models. The combination of electrified, driverless connected vehicles and a variety of Mobility Services will give rise to a hybrid model…

    From Detroit to Germany, Japan, and Korea, within the incumbent automotive industry there is amplifying conversation about the magnitude, extent, and timing of the disruption that will result from the introduction of driverless vehicles. This disruption will in turn result from changing attitudes toward car ownership and innovations in technology and business models. The combination of electrified, driverless connected vehicles and a variety of Mobility Services will give rise to a hybrid model that blends car ownership with on-demand car access. Big data generated inside and outside such vehicles and exploited by machine intelligence technologies are key ingredients in this disruption and offer unique opportunities to incumbents and newcomers as we proceed toward a driverless future. The book presents a strategy for capitalizing on these opportunities by combining corporate innovation efforts with startup innovations.

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  • Insightful applications: The next inflection in big data

    O'Reilly Media

    This is the first in a three-part series of blog posts by Evangelos Simoudis covering insightful applications. From an investor’s perspective, Simoudis will discuss the changing landscape of data analytics, the value of insight-generation applications, and key areas in big data that are attracting the most VC interest.

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  • What’s next for big data applications?

    O'Reilly Media

    This is the second in a three-part series of blog posts by Evangelos Simoudis covering insightful applications (part one is here). From an investor’s perspective, Evangelos discusses the changing landscape of data analytics and big data applications, the rise of insightful applications, and key areas in big data that are attracting the most VC interest.

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  • The 5 Things IBM Needs to Do to Win in AI

    Harvard Business Review

    How should a big, successful company manage a big bet (moonshot) on a future business?

    Other authors
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  • Insightful applications: The next inflection in big data

    O'Reilly Media

    This is the first in a three-part series of blog posts by Evangelos Simoudis covering insightful applications. From an investor’s perspective, Simoudis will discuss the changing landscape of data analytics, the value of insight-generation applications, and key areas in big data that are attracting the most VC interest.

    See publication

  • Exploring the process of insight generation

    The more I think about the concept of insight as a service, the more I believe that we don't have a good understanding of what constitutes "insight." In today's environment where corporate marketing over-hypes everything associated with big data and analytics, the word "insight" is being used very loosely, most of the time in order to indicate the result of any type of data analysis or any form of prediction. For this reason, I feel it is important to define the concept of insight. Once we…

    The more I think about the concept of insight as a service, the more I believe that we don't have a good understanding of what constitutes "insight." In today's environment where corporate marketing over-hypes everything associated with big data and analytics, the word "insight" is being used very loosely, most of the time in order to indicate the result of any type of data analysis or any form of prediction. For this reason, I feel it is important to define the concept of insight. Once we define the concept, we can determine under what conditions we can deliver insight as a service.

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Organizations

  • Information Science and Technology Board

    Member

    - Present

  • Brandeis University Science Advisory Board

    Member

    - Present

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