“Generative AI, Transformer Models, Edge Computing, and Sustainable AI Solutions”
- The adoption of generative AI and transformer-based models is a prominent trend, with over 30% of new DNN deployments in 2024 leveraging these technologies for applications in NLP, image generation, and creative content production, enhancing user experiences in retail and media.
- The rise of edge computing, with 25% of new DNN solutions in 2024 designed for on-device processing, is gaining traction in autonomous vehicles and IoT applications, reducing latency and improving real-time decision-making.
- Increasing focus on sustainable AI solutions, with 15% of new hardware accelerators in 2024 certified for energy efficiency, aligning with North America’s green technology initiatives and reducing the environmental impact of AI computing.
- The adoption of cloud-based DNN platforms is growing rapidly, with a 20% increase in adoption rates in 2024, driven by scalable and flexible solutions offered by providers like AWS, Microsoft Azure, and Google Cloud.
- Integration of DNNs with IoT ecosystems, particularly in smart manufacturing and healthcare, is expanding, with 18% of new solutions in 2024 designed for real-time data analytics and automation in these sectors.
- Growing consumer demand for personalized AI-driven services, such as recommendation systems in retail and predictive diagnostics in healthcare, is driving innovation in DNN applications across North America.
