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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, Nvidia CEO Jensen Huang discusses leadership, future of generative AI, Microsoft Copilot now enables users to build autonomous agents and more
Here are the most-read stories on AI Business this week.
At its annual IT Symposium/Xpo in Orlando this week, Gartner announced its top 10 strategic technology trends for 2025, with advances in artificial intelligence, IoT technologies and quantum computing all making the list.
The event is being held at the Swan and Dolphin Resort welcoming 8,000 attendees, CIOs and senior leaders with 200 exhibitors.
The consulting firm regularly details a list of what the technological road ahead looks like to give business technology leaders some idea of what to watch out for.
OpenAI, the company behind ChatGPT, has successfully recruited Microsoft's vice president of generative AI research Sebastien Bubeck.
The move, announced by Microsoft last week, underscores the growing competition among tech giants for top talent as the AI race accelerates.
“Sebastien has decided to leave Microsoft to further his work toward developing artificial general intelligence (AGI). We appreciate the contributions Sebastien has made to Microsoft and look forward to continuing our relationship through his work with OpenAI,” Microsoft said in a statement.
AGI is a hypothetical type of AI that can understand and learn tasks like a human.
Microsoft has launched a range of new agentic capabilities to its AI Copilot platform that includes enabling users to build their own agents that can understand the nature of their work and even “act on their behalf.”
From November, Copilot users can create their own agents in Copilot Studio, a new application that was originally announced for private view earlier in the year but will now be made public.
The AI agents range from prompt-and-response to fully autonomous. Users should think of them as the new “apps for an AI-powered world,”, the company said.
Discover more about the new capabilities >>>
Wearing his trademark black leather jacket, Nvidia CEO Jensen Huang on Tuesday delivered a highly anticipated keynote at Gartner’s IT Symposium/Xpo where he talked about a range of leadership topics.
Nvidia has experienced meteoric success with its graphics processing units (GPUs). Once thought of mainly as a processor to handle graphics intense workloads, like video games, it turned out that the high-performance units were also efficient tools for large language models (LLMs). The near overnight success of OpenAI’s ChatGPT after launching two years ago has created an arms race for companies to build GenAI platforms. Nvidia has profited well from that race, launching it to the top of the world’s most valuable companies.
CIOs were eager to hear from Huang about finding similar success. Hundreds of attendees lined up more than an hour before the doors to Huang’s keynote started opening.
During their opening keynote Monday at the Gartner IT Symposium/Xpo 2024, analysts Mary Mesaglio and Hung LeHong described the key ingredients to building a successful AI stack and how businesses and organizations should pace themselves.
“Because of the relentless innovation happening in the tech vendor race, CIOs feel like they are always living the hype, which the reality of their AI outcomes race – how tough it is to get value – makes it feel like they are also in the trough,” Mesaglio said.
The conference was expected to attract more than 8,000 CIOs and senior IT leaders. With an arms race to adopt AI and GenAI strategies, the analysts tried to add some clarity for business leaders who may have varying degrees of need.
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