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The current AI spring is in full swing. Entrepreneurs remain extremely excited about generative AI, as manifested by the number of financing requests our firm and many other investors continue to receive but are starting to think more diligently about where the white space they can go after. Corporations are in testing and evaluation mode…
Automakers are facing a complex dilemma relating to software-defined new energy vehicles. Should they proceed with aggressively investing and developing software-defined vehicles while facing a slowdown in demand for battery electric vehicles (BEVs), or continue developing Internal Combustion Engine (ICE) and hybrid vehicles (including plug-in hybrids) that are based on existing architectures and practices?
Enterprises use several different technologies, including AI, to automate their processes and create value. They are currently experimenting with generative AI to determine whether it can provide significant and enduring value. Is the enterprise’s excitement about generative AI justified? Is the size of the investments being made and planned warranted? What is their strategy missing…
Another CES is behind us. The automotive and mobility extravaganza of years past was replaced this year by an AI extravaganza. For the automakers and their suppliers that participated at CES this year was about AI and Software-Defined Vehicles (SDVs). There were lots of demos involving AI and SDVs, and even more marketing statements full…
Since the beginning of last year, the interest in AI has gone into overdrive. Enterprises tried to "out-announce" one another regarding their use of AI. Similarly, venture investors have been investing large sums at nosebleed valuations in startups developing anything that appears to involve generative AI. But, despite the corporate statements and the venture investments,…
We are still in the early phase of enterprises adopting generative AI. However, even at this early point enterprises must understand the costs associated with the use of Large Language Models (LLMs) as they embark on developing generative AI applications. These costs can become significant. The goal of this post is to identify the cost…
As with every previous AI era, the benefits promised to the enterprise from the application of generative AI will likely be lower than those that will be achieved. To succeed, enterprises must avoid the pitfalls of the previous AI eras. Over my 40-year career in enterprise AI, I understood the types of and reasons for…
Automakers want to capture a larger percentage of their customers’ lifetime value than they do today. To achieve their goal, OEMs must establish direct relationships with their customers, create new customer experiences, capitalize on the capabilities of their Software-Defined Vehicles, and utilize AI to better understand their customers’ behavior so that they can match their…
During the last six months, we spent time with our firm’s corporate partners to assess whether the enterprise is ready for generative AI and updated our investment theses accordingly. Our work convinced us that Large Language Models (LLMs)/Foundation Models and applications that incorporate them will open the door to the development of a new class…
Last week I attended Ford's Capital Markets Day. Ford held the CMD to report on the progress of its three divisions and the goals they will be measured against. This piece focuses on the goals relating to software development and customer experience and their impact on the recurring monetization of the company's customers because these…
AI has three roles in new mobility. It is an enabler, a differentiator, or a monetizer. The recent explosion of interest in generative AI begs the question: could generative AI contribute to new mobility and if so, in which of the three roles? This post attempts to answer this question by presenting a few ideas…
AI is viewed by many exclusively as a prediction technology. The availability of large, diverse, and information-rich data sets combined with the power of neural networks, and more recently with the addition of Foundation Models and Large Language Models, has been responsible for achieving incredible results even in complex, multi-faceted situations. Every aspect of new…
Automakers must address two questions because of the environment they are currently facing. First, will they be able to make the announced Software-Defined Vehicle investments in the timeline they were projecting, or will they need to slow down their investment pace? Second, will they face any negative implications if they delay their plans to roll…
One of the main theses developed in Transportation Transformation is that, though still young, the app-based on-demand mobility services companies will need to further transform before they can fully capture the opportunity afforded by new urban mobility. The book presents the decisions such companies must make and a framework that prescribes specific transformations consistent with…
Software-Defined Vehicles greatly facilitate the vehicle’s electrification, optimization and personalization, as well as the attainment of higher levels of driving automation. More broadly, these vehicles change how the industry designs, makes, sells, and services vehicles, and in the process enable a new customer experience.
During the automotive industry’s current boom phase OEMs are announcing big, multi-year investments in new vehicle platforms that combine electrification with increasing driving automation. Because under new mobility data and loyalty will become central forms of value, OEMs must also consider deploying the loyalty-enhancing data-driven services these platforms enable. The services they introduce and the…
There is no question that the pandemic is having a big impact on new mobility. Passenger transportation is down as reported by the dramatic decreases in public transportation ridership and mobility services rides. At the same time, goods delivery services are growing fast as more households are adopting Ecommerce. With these changes as a backdrop…
Automation, combined with digitalization and process engineering, will enable organizations to broadly utilize telework, address talent scarcity, and lower production costs. Onboarding new employees to a telework-centric organization is emerging globally as a major challenge. We break the onboarding challenge of teleworking employees into three parts: addressing the mundane tasks, providing training on the necessary…
To broadly and successfully employ telework during and after the pandemic we must understand the considerations and objectives that employers and employees want to achieve and the dimensions they will use to assess progress and ultimate attainment. On some of these dimensions employers and employees may be aligned, and on some may not. In this…
During the last twenty-five years, the automotive customer journey has become more complex as incumbent automakers tried to establish direct customer relations and improve the customer experience. Software-Defined Vehicles will enable a richer and more personalizable experience. When designed properly such an experience will lead to better customer relations, recurring post-sale customer monetization, and decreasing…
Telework has been broadly adopted globally during the pandemic. It will also become a key component of the post-pandemic work environment, providing benefits to both employees and employers. To the employee, it will give flexibility, offer a better work experience, but also comfort related to the new safety norms being established as part of the…
Several megatrends will necessitate the transformation of urban mobility from one that is centered around the privately owned vehicle to one that is offered as a service, combines multiple modalities, and promotes sharing. The pandemic forced many of us to work from home and have goods delivered there, in the process causing us to rethink…