Issue link: http://digital.copcomm.com/i/1517009
16 cgw j a n u a r y • f e b r u a r y • m a r c h 2 0 2 4 AI PREDICTIONS: 2024 Nvidia experts predict rapid transformations across industries amid accelerated AI rollouts. BY CLIFF EDWARDS M ove over, Merriam-Webster: Enterprises this year found plenty of candidates to add for word of the year. "Gener- ative AI" and "generative pretrained transformer" were fol- lowed by terms such as "large language models" (LLM) and "retrieval-augmented generation" (RAG) as whole industries turned their attention to transformative new technologies. Generative AI started last year as a blip on the radar but ended with a splash. Many companies are sprinting to harness its ability to ingest text, voice, and video to churn out new content that can revo- lutionize productivity, innovation, and creativity. Enterprises are riding the trend. Deep learning algorithms like OpenAI's ChatGPT, further trained with corporate data, could add the equivalent of $2.6 trillion to $4.4 trillion annually across 63 busi- ness use cases, according to McKinsey & Company. Yet managing massive amounts of internal data oen has been cited as the biggest obstacle to scaling AI. Some Nvidia experts in AI 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. Large language models are at the center of it all. Nvidia experts say advancements in LLM research will increasingly be applied in business and enterprise applications. AI capabilities like RAG, auton- omous intelligent agents, and multimodal interactions will become more accessible and more easily deployed via virtually any platform. Hear from Nvidia experts on what to expect in the year ahead. BOB PETTE V P O F E N T E R P R I S E P L A T F O R M S , N V I D I A Building anew with generative AI: Generative AI will allow organi- zations to design cars by simply speaking to a large language model or create cities from scratch using new techniques and design prin- ciples. The architecture, engineering, construction, and operations (AECO) industry is building the future using generative AI as its guidepost. Hundreds of generative AI startups and customers in AECO and manufacturing will focus on creating solutions for virtu- ally any use case, including design optimization, market intelligence, construction management, and physics prediction. AI will accelerate a manufacturing evolution that promises increased efficiency, re- duced waste, and entirely new approaches to production and sus- tainability. Developers and enterprises are focusing in particular on point cloud data analysis, which uses lidar to generate representations of built and natural environments with precise details. This could lead to high-fidelity insights and analysis through generative AI-acceler- ated workflows. "AI will accelerate a manufacturing revolution..."