Technology Magazine November 2022 | Page 20

TRAILBLAZER
that I completed my transition from marketing to product management , but the biggest shift was from music tech to ML and AI .
“ I suffered from imposter syndrome the first few months on the Snapdragon product management team , where I was surrounded by ace electrical engineers and computer scientists ,” says Brotman . “ What I soon realised was that I had developed a deeper understanding of AI and ML than some of my peers . I didn ’ t know how to train a neural network or design a chip , but I understood the potential for this ‘ new software ’ to improve and create new user experiences at the edge .
“ It was also at Qualcomm that I recognised the importance of AI and ML in making autonomous , connected and ultimately more sustainable driving a reality . Deep learning is key to ensuring selfdriving cars are safe and enabling new personalised experiences in the car . “
What kinds of products do you produce at Secondmind ? “ Secondmind helps automotive engineers design better cars , faster ,” Brotman says . “ To achieve this , we ’ re developing cloud-based software for automotive engineers to optimise the design and calibration of complex systems in half the time with less data .
“ Our Active Learning platform tackles the most complex engineering challenges facing car makers today and accelerates the transition to electrification and green mobility . The platform is also evolving to address the staggering complexity of the future software defined vehicle - complexity that is already outpacing software development productivity by 400 %.
What is the virtualisation story behind the AI the company deploys now ? “ A key to achieving efficiency in design and development is virtualising the process and relying less on fabricating and validating physical prototypes ,” Brotman says . “ Our Active Learning platform was
20 November 2022