Issue link: https://digital.copcomm.com/i/1517009
j a n u a r y • f e b r u a r y • m a r c h 2 0 2 4 c g w 1 7 RICHARD KERRIS V P O F D E V E L O P E R R E L A T I O N S , H E A D O F M E D I A & E N T E R T A I N M E N T, N V I D I A The democratization of development: Virtually anyone, any- where will soon be set to become a developer. Traditionally, one had to know and be proficient at using a specific development language to develop applications or services. As computing infrastructure be- comes increasingly trained on the languages of soware develop- ment, anyone will be able to prompt the machine to create applica- tions, services, device support, and more. While companies will continue to hire developers to build and train AI models and other professional applications, expect to see signifi- cantly broader opportunities for anyone with the right skill set to build custom products and services. They'll be helped by text inputs or voice prompts, making interactions with computers as simple as verbally instructing it. "Now and Then" in film and song: Just as the "new" AI-augment- ed song by the Fab Four spurred a fresh round of Beatlemania, the dawn of the first feature-length generative AI movie will send shock- waves through the film industry. Take a filmmaker who shoots using a 35mm film camera. The same content can soon be transformed into a 70mm production us- ing generative AI, reducing the significant costs involved in film pro- duction in the IMAX format and allowing a broader set of directors to participate. Creators will transform beautiful images and videos into new types and forms of entertainment by prompting a computer with text, images, or videos. Some professionals worry their cra will be replaced, but those issues will fade as generative AI gets better at being trained on specific tasks. This, in turn, will free up hands to tackle other tasks and provide new tools with artist-friendly inter- faces. XINZHOU WU V P O F A U T O M O T I V E , N V I D I A Modernizing the vehicle production lifecycle: The automotive industry will further embrace generative AI to deliver physically ac- curate, photorealistic renderings that show exactly how a vehicle will look inside and out—while speeding design reviews, saving costs, and improving efficiencies. More automakers will embrace this technology within their smart factories, connecting design and engineering tools to build digital twins of production facilities. This will reduce costs and streamline operations without the need to shut down factory lines. Generative AI will make consumer research and purchasing more interactive. From car configurators and 3D visualizations to augment- ed reality demonstrations and virtual test drives, consumers will be able to have a more engaging and enjoyable shopping experience. Safety is no accident: Beyond the automotive product lifecycle, generative AI will also enable breakthroughs in autonomous vehicle (AV) development, including turning recorded sensor data into fully interactive 3D simulations. These digital twin environments, as well as synthetic data generation, will be used to safely develop, test, and validate AVs at scale virtually before they're deployed in the real world. Generative AI foundational models will also support a vehicle's AI systems to enable new personalized user experiences, capabilities, and safety features inside and outside the car. The behind-the-wheel experience is set to become safer, smarter, and more enjoyable. "generative ai will make consumer research and purchasing more interactive..."