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Choosing Your First Generative AI Use Cases
To get started with generative AI, first focus on areas that can improve human experiences with information.
Also inside, Cybersecurity in 2025: hybrid strategies, deepfakes and crypto-Agility; Top 10 generative AI stories of 2024 and more
Here are the most-read stories on AI Business this week.
Nvidia Acquires Israeli AI Startup for $700M
Nvidia has acquired AI infrastructure software developer Run:ai in a deal worth $700 million.
Under the deal, Run:ai’s software, which currently supports only Nvidia GPUs, will become open source to allow for faster, better AI building and to extend its availability to the entire AI ecosystem.
Run:ai was founded in 2018 and launched its first product in 2020.
Run:ai’s software helps enterprise customers efficiently manage and optimize their compute infrastructure on-premises, in the cloud or across hybrid environments.
Humanoid Robot to Build Cars for Chinese Automaker
A Chinese automaker has unveiled a new wheeled, humanoid robot that it says will be deployed in car manufacturing starting in 2026.
The third generation of GoMate was unveiled by the state-owned Guangzhou Automobile Group at an event in Shanghai.
GoMate, which has 38 degrees of freedom, is claimed to be the first robot of its type to use either two or four wheels to self-balance and drive. This allows it to adjust to different environments.
According to GAC, it delivers “precise motion control, accurate navigation and positioning and autonomous decision-making,” coupled with “strong stability and reliability.”
Cybersecurity in 2025: Hybrid Strategies, Deepfakes and Crypto-Agility
As technologies emerge, bad actors will inevitably attempt to use them to make cyberattacks more sophisticated and effective.
Generative AI, hybrid cloud infrastructure and quantum computing are opening new attack vectors but also presenting opportunities to thwart them.
AI Business has collected cybersecurity predictions from companies across industries, looking into how they expect the industry to change in the coming year, what technologies are set to emerge and how businesses can adapt to meet the changing landscape.
Here are some of the major trends anticipated for 2025, including the rise of quantum-safe cryptography, adversarial AI, deepfakes, crypto-agility and the hybrid skillsets required to take on this year’s new challenges.
Discover the predictions for 2025
Top 10 Generative AI Stories of 2024
To say 2024 was a pivotal year for generative AI would be an understatement. As it continues to evolve, generative AI is expected to drastically shape industries. A global survey of technology leaders ranked it as the most important technology for 2025.
The challenge remains for business leaders to embrace AI and for the AI workforce to upskill to keep up with advancements.
For a deeper look at how generative AI made great advancements in 2024, from Nvidia to Apple and everything in between, here are the AI Business top 10 generative AI stories of the year.
Look back on a year of generative AI
Summit Attendees on the Future of AI in Business at AI Summit New York
Attendees at the AI Summit New York discussed how positive they are about the future of AI in business.
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