Embedl
Ola Tiverman has a diverse work experience spanning over several decades. Ola currently works as the Chief Product Officer at Embedl, where they focus on efficient deep learning for embedded systems and optimizing neural networks for embedded hardware. Prior to Embedl, Ola held the position of Chief Revenue Officer and President at Smoltek Semi, where they were responsible for business development and revenue management in the semiconductor and microelectronics industry. Ola also served as the Chief Operating Officer at Smoltek and was a Board Member of Smoltek Nanotech Holding AB and Smoltek AB.
Before their time at Smoltek, Ola worked as the Executive Vice President and General Manager of Data Cloud at Burt, where they developed a customer data platform. Ola has also held various leadership roles at WideOrbit, where they led engineering teams and contributed to product development in areas such as machine learning and digital advertising. Ola began their career at Volvo Cars and later worked at Volvo IT, Carmen Systems AB, and Todos Data System AB in various software engineering and R&D roles. Ola's extensive experience includes business development, operations management, technology leadership, and strategic advisory positions.
Ola Tiverman began their education in 1985 at Västerhöjdskolan in Skövde, where they studied Electrical, Electronics, and Communications Engineering. This period lasted for one year until 1986, after which Ola enrolled at the University of Skövde. At the university, they pursued a degree in Computer Science and Electronics, completing their Associate's degree in 1988.
Embedl
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Embedl offers a diverse set of cutting-edge tools and expertise, empowering AI teams to craft incredibly efficient Deep Learning models. Embedl aims to revolutionize the world of embedded systems by commercializing its state-of-the-art Deep Learning Model Optimization SDK. With Up to 94% reduced energy consumption, 16x increased execution speed, and 8x memory model compression, the SDK enables users to develop market-leading solutions by designing energy-efficient deep learning models that meet real-time requirements in cost-efficient hardware. Through the innovative Model Optimization SDK, the process of generating superior models becomes streamlined and automated. Embedl is committed to innovation and excellence, is deeply connected to academic research, and actively collaborates with prominent industry players. These valuable collaborations nurture a thriving innovation ecosystem, empowering Embedl to constantly push the limits of what's achievable in embedded intelligence.