Agentic AI Takes Center Stage; OpenAI ChatGPT Faces Global Outage

  • Home
  • Blog
  • Agentic AI Takes Center Stage; OpenAI ChatGPT Faces Global Outage
Agentic AI Takes Center Stage; OpenAI ChatGPT Faces Global Outage


Here are the most-read stories on AI Business this week.

Agentic AI Takes Center Stage: AI Summit London 2025 Preview

The dawn of truly autonomous AI systems is here and AI Summit London 2025 is at the forefront of the revolution.

Agentic AI, sophisticated systems capable of independent decision-making and operation without human intervention, has rapidly evolved from theoretical concept to practical reality, becoming this year’s most transformative technological advancement.

The ninth annual AI Summit London, taking place at London’s historic Tobacco Dock on June 11-12, is the cornerstone AI event of London Tech Week. It promises to delve deep into the rapidly expanding universe of agentic AI.

Beyond the spotlight on autonomous agents, the two-day event is set to unveil groundbreaking AI technologies while facilitating conversations on practical applications, implementation strategies and ethical considerations. Industry pioneers, government officials and academic visionaries converge to share insights that bridge the gap between theoretical potential and real-world deployment.

Find out more

OpenAI ChatGPT Faces Global Outage Tuesday Morning

OpenAI’s ChatGPT was not working Tuesday morning, following a global outage leaving users in the dark. 

Related:Multiverse Secures $215M in Funding to Scale AI Compression

The company’s website has been posting updates including “Some users are experiencing elevated error rates and latency across the listed services. We are continuing to investigate this issue.” It also noted that 21 components of the system are currently not working. 

Users are receiving errors including “too many concurrent requests.”

See what happened

IBM Unveils Bold Vision for Agentic AI: AI Summit London

IBM has given an update on agentic AI, which the company sees as the next transformative leap in artificial intelligence, at the AI Summit London, taking place at Tobacco Dock this week.

According to Ritika Gunnar, IBM‘s general manager of product management for data and AI, this is a pivotal moment in enterprise technology. A new class of software—the AI agent—is emerging to reshape how organizations leverage artificial intelligence.

“We’re effectively seeing the rise of a new class of software, the AI agent, moving far beyond traditional automation or even generative AI techniques,” Gunnar said. 

These agents are characterized by their autonomy to operate independently, their proactive ability to anticipate needs and their capacity to learn from experience.

Continue reading

Nvidia Launches AI Model to Create Digital Twin of Earth

Related:Minister Delivers UK AI Plan Progress Report: AI Summit London 2025

Nvidia has unveiled a new generative AI model to simulate Earth’s climate in new levels of detail, in what it is calling a major milestone in the use of AI for climate science. 

The model, dubbed cBottle (Climate in a Bottle), is the first of its kind to simulate global atmospheric conditions at kilometer-scale resolution, creating an interactive digital twin for climate scientists.  

Developed as part of Nvidia’s Earth-2 platform, cBottle offers an interactive tool for scientists to better predict and mitigate the impacts of climate change.

The model was trained on atmospheric states over the past 50 years and can generate climate models in response to specific inputs such as time of day, time of year and sea temperatures.

Dive deeper

UK Government, Google Launch AI to Accelerate Home Building at London Tech Week

At London Tech Week, the U.K. Government announced the launch of a new AI tool to slash planning delays and speed up the process of building homes across the country.

The tool, dubbed Extract, was developed using Google’s AI system Gemini and is designed to read and digitize planning documents and maps within minutes. 

According to a government statement, the system could reduce the roughly 250,000 hours spent manually checking these documents by planning officers each year.

In trials, Extract took three minutes to digitize each planning document (compared to a human worker’s one to two hours per document), meaning it could process around 100 records each day. 

Get the full story





Source link

Leave A Comment

Your email address will not be published. Required fields are marked *