Experts at the tech giant gaze into a collective 2024 crystal ball, anticipating AI’s impact across industries and the world; expect the ‘Democratization of Development’ allowing anyone, anywhere to become a developer.
NVIDIA has just shared 17 predictions relating to the future of AI, with its top executives across enterprise software and hardware and industries including media and entertainment, industrial digitalization, and retail weighing in.
Some of the company’s experts predict that 2024 will be all about phoning a friend — creating partnerships and collaborations with cloud service providers, data storage and analytical companies, and others with the know-how to handle, fine-tune and deploy big data efficiently.
Uniformly, the company’s experts predict rapid transformations across industries as companies accelerate AI rollouts and begin to build best practices for adopting generative AI.
Although most of the predictions do not specifically address changes in media and entertainment, a common thread appears to be open-source software leading the charge, and most importantly, “the democratization of development.”
Here are a few snippets of from NVIDIA’s executive crystal balls (likely cloud-based) beginning with the company’s M&E experts:
Richard Kerris - Vice President of Developer Relations, Head of Media and Entertainment
“The democratization of development: Virtually anyone, anywhere 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 becomes increasingly trained on the languages of software development, anyone will be able to prompt the machine to create applications, 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 significantly 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-augmented song by the Fab Four spurred a fresh round of Beatlemania, the dawn of the first feature-length generative AI movie will send shockwaves 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 using generative AI, reducing the significant costs involved in film production 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 craft 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 interfaces.”
Manuvir Das - Vice President of Enterprise Computing
“Open-source software leads the charge: Thanks to open-source pretrained models, generative AI applications that solve specific domain challenges will become part of businesses’ operational strategies.”
Once companies combine these headstart models with private or real-time data, they can begin to see accelerated productivity and cost benefits across the organization. AI computing and software are set to become more accessible on virtually any platform, from cloud-based computing and AI model foundry services to the data center, edge and desktop.”
Nikki Pope - Head of AI and Legal Ethics
“Collaboration among leading AI organizations will accelerate the research and development of robust, safe AI systems. Expect to see emerging standardized safety protocols and best practices that will be adopted across industries, ensuring a consistent and high level of safety across generative AI models.
Companies will heighten their focus on transparency and interpretability in AI systems — and use new tools and methodologies to shed light on the decision-making processes of complex AI models. As the generative AI ecosystem rallies around safety, anticipate AI technologies becoming more reliable, trustworthy and aligned with human values.”
Rev Lebaredian - Vice President of Omniverse and Simulation Technology
“3D interoperability takes off: From the drawing board to the factory floor, data for the first time will be interoperable.
The world’s most influential software and practitioner companies from the manufacturing, product design, retail, e-commerce and robotics industries are committing to the newly established Alliance for OpenUSD. OpenUSD, the universal language between 3D tools and data, will break down data siloes, enabling industrial enterprises to collaborate across data lakes, tool systems and specialized teams easier and faster than ever to accelerate the digitalization of previously cumbersome, manual industrial processes.”
Gilad Shainer - Vice President of Networking
“AI influx ignites connectivity demand: A renewed focus on networking efficiency and performance will take off as enterprises seek the necessary network bandwidth for accelerated computing using GPUs and GPU-based systems.
What the network is capable of when under a full load at scale is the best determinant of performance. The future of enterprise data center connectivity requires separate management (aka north-south) and AI (aka east-west) networks, where the AI network includes in-network computing specifically designed for high performance computing, AI and hyperscale cloud infrastructures.”
Source: NVIDIA
Debbie Diamond Sarto is news editor at Animation World Network.
