Hub AI in practice

Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.

What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.

AI in practice

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AI in practice

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AI in practice

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AI in practice
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Capgemini is investing $3.3 billion to bring generative AI and so-called "agentic AI" into its clients' business operations.

The company plans to acquire WNS, a provider of digital business process services, as part of this push. "Business Process Services will be the showcase for Agentic AI," Capgemini CEO Aiman Ezzat said about the deal. WNS already delivers AI-powered process solutions to companies in eight industries, counting United Airlines and Aviva among its clients.

Capgemini and WNS say the goal is to become a leader in intelligent operations by using autonomous AI to fundamentally rethink how businesses run their core processes.

AI in practice
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Isomorphic Labs, a Deepmind spin-off focused on drug discovery, is getting ready for its first clinical trials with drugs designed using AlphaFold-based AI models.

"We're staffing up now. We're getting very close," said Colin Murdoch, President of Isomorphic Labs and Chief Business Officer at Deepmind, in an interview with Fortune.

The company wants to overhaul the traditionally slow and expensive process of drug development, with anti-cancer drugs already in the pipeline. Isomorphic Labs has signed agreements with Eli Lilly and Novartis, and in 2025 closed a USD 600 million investment round led by Thrive Capital.

Looking ahead, Isomorphic Labs has even bigger ambitions for AI in medicine. "One day we hope to be able to say— well, here's a disease, and then click a button and out pops the design for a drug to address that disease," Murdoch said.

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A group of independent EU publishers has filed a complaint to the European Commission over Google's AI Overviews feature. They claim Google uses their content to generate AI-written summaries without permission, reducing web traffic and harming revenue. According to the complaint, publishers cannot opt out of the AI feature unless they also give up visibility in Google Search. The group is supported by Foxglove Legal and the Movement for an Open Web, and is requesting interim measures to stop what they describe as ongoing, irreparable damage. Google's AI Overviews pull information from websites to create short answers directly in search results without giving back traffic or compensation to the original publishers.

AI in practice
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Ilya Sutskever, co-founder of OpenAI, is now CEO of his new startup Safe Superintelligence Inc. (SSI). Daniel Gross, who was previously CEO, left the company on June 29 to join Meta. Mark Zuckerberg's company is currently hiring top AI researchers and has recruited several people from OpenAI. Daniel Levy is the new president of SSI. In a message to staff and investors, Sutskever said SSI will stay independent, despite interest from other companies, likely Meta. SSI recently raised $2 billion in funding.

We have the compute, we have the team, and we know what to do. Together we will keep building safe superintelligence.

Ilya Sutskever

AI in practice
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OpenAI is set to rent an additional 4.5 gigawatts of computing power from Oracle's US data centers for its Stargate AI project, according to Bloomberg. That amount of energy is roughly equivalent to the electricity use of several million households. To meet the demand, Oracle plans to build new data centers across multiple states, including Texas, Michigan, and Wyoming. The existing Stargate facility in Abilene, Texas, is expected to expand from 1.2 to 2 gigawatts. The deal is part of a broader cloud contract with Oracle valued at $30 billion per year.

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Black Forest Labs has released FLUX.1 context [dev], a 12-billion parameter AI image model, for free non-commercial use on HuggingFace. It runs on standard hardware and supports ComfyUI, HuggingFace Diffusers, and TensorRT. According to Black Forest Labs and Artificial Analysis, it performs better than models like Gemini-Flash Image in most benchmarks. Optimized versions are available for Nvidia's new Blackwell architecture. For commercial use, licenses start at $999 per month via Black Forest Labs' license portal.

Bar charts show FLUX.1 Context [dev] with peak values for character preservation, editing accuracy, style transfer, and text input compared to other image AI models.
FLUX.1 context [dev] scores higher than many competing models in all six categories. | Image: Black Forest Labs
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