Latest news with #RobertDay
Yahoo
2 days ago
- Automotive
- Yahoo
Automakers face challenges in managing software-defined vehicles at scale
This story was originally published on Automotive Dive. To receive daily news and insights, subscribe to our free daily Automotive Dive newsletter. NOVI, MICHIGAN — With the auto industry's shift toward building more connected vehicles powered by software continuously updated over-the-air, OEMs are rapidly moving from hardware-centric vehicle development processes to a software-first approach. This pivot also includes the integration of AI and adoption of a cloud-based development environment for software-based vehicles. However, to support this transition, legacy automakers still face challenges in data management and technology integration, according to a recent panel discussion on the topic at the AutoTech 2025 conference in Michigan. The panel, which was moderated by Maite Bezerra, principal analyst for software-defined vehicles at Wards Intelligence, included industry experts from Bosch, Stellantis, Toptal, and the Scalable Open Architecture for Embedded Edge (SOAFEE) industry group, which is working with automakers to expedite development of software-defined vehicles. SOAFEE aims to create an open source vehicle platform using cloud-native architecture that supports multiple hardware configurations. 'SOAFEE is really kind of more about bringing some of the modern software techniques to automotive software development,' said panelist Robert Day, the group's governing body representative. 'Over the last couple or three years, people are actually starting to do their development in the cloud using the tools, technologies and methodologies that are well developed and well used in cloud development.' Although adopting a cloud-based software development approach is a common practice for developers working in the tech space, it's an entirely new field for some legacy automakers. "The problem is the car is not the cloud,' said Day. 'It has things like safety and things like mutual physicality, heterogeneous computing.' The software development challenges for automakers also create the need for OEMs to recruit top talent to integrate the technology into next-generation vehicles, often from outside of the industry. Some companies are providing services to expedite such recruitment. For example, Toptal operates a freelancing platform that connects companies with in-demand software engineers and other technology specialists. 'We have a lot of partners in the automotive space,' said panelist Paul Timmermann, VP of product at Toptal. Stellantis is one of the automakers encountering the challenges of shifting towards SDVs for its future vehicles. "We [automakers] are always hardware first, and now the switch is happening to, you know, software, and then comes the hardware," said panelist Sangeeta Theru, director of virtual validation platforms at Stellantis. 'Tools, processes…everything is changing,' she said. Theru also highlighted the importance of training internal teams at Stellantis, adding that the automaker recently launched "big training on AWS cloud and architecture' for employees. 'There was a lot of effort in upskilling and training internal people,' she said. A major driver of increasing vehicle complexity is automakers launching more advanced driver assist systems and autonomous driving functionality using AI-powered software, according to the panelists. Vehicles with automated driving capabilities, for example, are equipped with dozens of cameras and sensors, generating "many, many terabytes of data" for a single car, scaling to "well beyond petabytes" across large fleets, explained panelist Steven Miller, product management of ADAS and technical expert at Bosch. 'Clearly you're not going to upload all of that data,' he said. 'The other even harder data problem is okay, what's the right data to upload to the cloud?' With rollout of more advanced autonomous driving features, automakers need to be adept at processing and merging extremely large data sets. One of these challenges is processing high volumes of vehicle data in real-time, as well as making it more manageable to transfer to and from the cloud. Automakers must also decide which vehicle data to upload to the cloud to train AI models. Therefore, the panelists emphasized the need for OEMs to create efficient data pipelines to manage this complexity. The panelists also foresee AI being integrated into other vehicle systems, such as remote diagnostics and infotainment. The use of AI will also likely extend to corporate organizational processes. "This is one of the most transformational shifts that we are seeing in the automotive industry," said Bezerra. The panel discussion also delved into automakers' adopting open source software with a higher level of standardization to reduce development times and costs. In November 2024, Panasonic Automotive Systems and Arm announced a collaboration to standardize automotive architecture. The two companies said they recognized the need for the industry to shift from a hardware-centric to a software-first development model to address challenges created by high-cost, vendor-specific proprietary interfaces for vehicles. While the use of open source automotive software has traditionally been met with caution due to safety and liability concerns, an April 2025 report from the Eclipse Foundation found a significant jump in industry appetite to use it for safety-critical vehicle systems. According to the report, 79% of automotive software professionals currently use open source tools and/or in-vehicle software for development, and the number of users actively contributing to open source projects increased by 4% from last year. The big advantage of open source is it provides a standard between companies, explained Day. 'If you're starting to use open standard or open source, it makes that collaboration easier,' he said. Day also highlighted another long-term strategy decision facing OEMs. "What would you choose to open source first? What would you actually keep in-house?" he said. Despite the prospects of adopting open source software for vehicles, the panelists acknowledged that some key areas needed more attention, including cybersecurity. This area is even more critical for automated driving and connected infotainment systems that can be used to pay for goods and services, such as EV charging sessions. Day raised a critical point about security. 'I don't think it's placed enough attention to, and certainly don't think [automakers] spend enough money on it,' he said. According to chipmaker Arm, a modern vehicle can have up to 650 million lines of code, and this number will only increase in the future. But software will revolutionize how drivers interact with their vehicles and redefine the relationship between OEMs and vehicle owners, according to the company. Disclosure: AutoTech2025 is run by Informa, which owns a controlling stake in Informa TechTarget, the publisher behind Automotive Dive. Informa has no influence over Automotive Dive's coverage. Recommended Reading Panasonic Automotive Systems, Arm team up on SDV standardization
Associated Press
15-05-2025
- Business
- Associated Press
Cognisense Launches to Lead the Charge in AI Risk Intelligence, Enforcement Insights, and Vendor Analysis
Cognisense launches to transform compliance with expert-led insights, AI risk intelligence, and training integrity for high-stakes industries. 'At Cognisense, we believe that compliance isn't just about checking boxes — it's about building systems that protect people, reputations, and the future of your business.'— Robert Day CALGARY, ALBERTA, CANADA, May 15, 2025 / / -- Cognisense, a North America-based remote consultancy, officially launches today with a bold mission: to help organizations in high-risk / highly-regulated industries assess and ensure that their online training and assessments address longstanding and recent changes to regulatory expectations and do so is a manner that is cost effective, requires minimal support/administration and does not hamper the user experience.. Built by industry veterans who've worked in some of the most demanding regulatory environments, Cognisense partners with clients to identify and implement the right technologies, strategies, and processes to improve compliance, reduce liability, and optimize operational performance. Whether an organization is navigating the evolving standards or the risks and opportunities presented by AI, Cognisense offers tailored, expert-led support to clients in sectors including energy, utility manufacturing, finance, and beyond. A Mission Rooted in Safety and Compliance The Cognisense team is led by Robert Day, a person with decades of industry experience and an intense commitment arising from a petrochemical explosion, where a lack of integrity in training and assessment processes were identified through the resulting investigation/legal processes as highly compromised. Since then he has driven meaningful change, through the development of a Learning Management System (LMS), an assessment platform, as well as spearheaded the creation of identity verification and proctoring technologies now used globally to uphold training/assessment integrity and compliance verification. Comprehensive Services Cognisense offers services designed to support organizations and training providers in achieving compliance and enhancing workforce competency. These services include developing strategies, adapting to new requirements, optimizing training/assessment technology, centralizing training efforts, and minimizing risk in a shifting regulatory environment. By focusing resources where they have the greatest impact, Cognisense improves skills, competency, and efficiency within organizations. 'At Cognisense, we believe that compliance isn't just about checking boxes — it's about building systems that protect people, reputations, and the future of your business. Our team brings unmatched insight into what works, what doesn't, and how to make compliance training matter,' said Robert Day, Managing Director. About Cognisense Cognisense is a compliance and risk consulting firm helping organizations navigate complex regulatory environments and AI risks/opportunities with confidence. Through expert guidance, technology-driven strategies, and deep industry experience, Cognisense provides advisory services and assurance audits and insights necessary to verify compliance, optimize training/assessment, and reduce risk. Darcy Chalifoux Cognisense +1 403-585-6445 [email protected] Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
