For the first time, NVIDIA GTC partnered with VivaTech Paris to host one of the largest technology events of the year. Drawing over 180,000 attendees, the event highlighted sovereign Artificial Intelligence (AI) and its transformative potential for the European ecosystem. NVIDIA took this opportunity to position itself, once again, as the de facto partner for regional AI development, while also continuing to develop its message around agentic inference and AI democratization.

Since the release of ChatGPT in 2022, Large Language Models (LLMs) have dominated tech conversations. While Generative Artificial Intelligence (Gen AI) has captured attention with its ability to produce content, a new development is emerging: Agentic Artificial Intelligence (AI). Unlike Gen AI, which focuses on generating text, images, or code, AI agents are built to take meaningful action. They can navigate multi-step processes, make autonomous decisions, and integrate seamlessly into enterprise systems.

Recent report findings from ABI Research suggest the Generative Artificial Intelligence (Gen AI) software market is on a rapid growth trajectory with high expectations for both hardware and software. Our most recent forecasts project the  Gen AI software market size to increase from US$63billion in 2025 to nearly US$220 billion by 2030.

Generative Artificial Intelligence (Gen AI) is no longer a futuristic concept—it's here, and enterprises are quickly realizing its transformative potential. But implementing such a powerful tool isn't without its complexities. According to ABI Research, a leading technology research firm, the Gen AI software market is projected to grow from US$10.45 billion in 2023 to over US$176 billion by 2030, driven by its applications in diverse sectors.

Generative Artificial Intelligence (AI) has been one of the most popular technology topics of 2023. The hype for generative AI is justified, promising enterprises huge leaps in productivity if implemented correctly. While most enterprises are still years away from company-wide adoption, some early movers are showing huge progress, with most having at least placed generative AI on their radar with plans to adopt it. ABI Research’s Generative AI Business Outcomes: Identifying Enterprise Commercial Opportunities report provides a full-fledged evaluation of generative AI, including business use cases, challenges to implementation, market trends, and strategic recommendations. Here are five of the biggest trends from our research report that you should know about.

Enterprise connectivity used to be simple. Companies could get the job done with point-to-point connections or the consumption of cloud applications across the public Internet. But today, enterprises need connectivity services with greater network agility, flexibility, security, performance, and redundancy in their cloud operations. Cloud hyperscalers, interconnection providers, and telcos play a prominent role in meeting these new connectivity demands and unlocking the next-generation enterprise.

Although Network-as-a-Service (NaaS) is far from being well-established, Communication Service Providers (CSPs), such as telco and infrastructure providers, need to plan their next moves now if they want a slice of the potential US$75 billion market. NaaS is the logical evolution of enterprise networking in a world that shows a preference for dematerialization and enhanced user experiences. In this post, we define what NaaS is, explain how it's changing the telecommunications industry, and list 6 of the top NaaS providers that are targeting enterprise customers.