French Tech Giant Capgemini to Acquire WNS In AI Expansion - 1

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French Tech Giant Capgemini to Acquire WNS In AI Expansion

  • Written by Andrea Miliani Former Tech News Expert
  • Fact-Checked by Sarah Frazier Former Content Manager

The French giant Capgemini announced this Monday that it will acquire WNS, a leading Business Process Management (BPM) firm, for $3.3 billion in cash. With the new deal, Capgemini plans to expand its AI efforts.

In a rush? Here are the quick facts:

  • Capgemini to buy WNS for $3.3 billion to expand AI offering for businesses.
  • The companies will create an Intelligent Operations service to help companies integrate AI systems.
  • The tech giant expects to address the market’s needs in generative AI and agentic AI services.

According to the press release , Capgemini—which will acquire each of WNS’s shares for $76.50—believes that WNS’s experience in the AI market will help address strategic opportunities driven by Agentic AI. Both companies aim to create an Intelligent Operations service, to support companies in their AI integration and transformation.

“Enterprises are rapidly adopting Generative AI and Agentic AI to transform their operations end-to-end,” said Aiman Ezzat, Chief Executive Officer of Capgemini. “Capgemini’s acquisition of WNS will provide the Group with the scale and vertical sector expertise to capture that rapidly emerging strategic opportunity created by the paradigm shift from traditional BPS to Agentic AI-powered Intelligent Operations.”

Capgemini expects to address the market’s need for generative AI and agentic AI-driven services and attract further investment.

“Organizations that have already digitized are now seeking to reimagine their operating models by embedding AI at the core—shifting from automation to autonomy,” said Keshav R. Murugesh, Chief Executive Officer of WNS. “By combining our deep domain and process expertise with Capgemini’s global reach, cutting-edge Gen AI and Agentic AI capabilities, a robust partner ecosystem, and advanced technology platforms, we are creating a powerful proposition that accelerates enterprise reinvention.”

Capgemini expects to close the deal—unanimously approved by both companies’ board of directors—by the end of the year.

Multiple companies specializing in data-driven AI have been making major moves in the industry to adapt and offer new services aligned with the growing demand for AI-driven solutions. The data labeling company Surge AI recently announced it aims to raise $1 billion in a funding round to capitalize on rising demand.

AI Models Like ChatGPT Could Soon Pilot Space Missions - 2

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AI Models Like ChatGPT Could Soon Pilot Space Missions

  • Written by Kiara Fabbri Former Tech News Writer
  • Fact-Checked by Sarah Frazier Former Content Manager

Researchers were surprised to find that ChatGPT managed a second-place finish in the spacecraft simulation competition, which demonstrated the potential of large language models (LLMs) to guide space missions.

In a rush? Here are the quick facts:

  • ChatGPT placed second in a spacecraft piloting simulation challenge.
  • The AI completed tasks like intercepting and avoiding satellites.
  • Researchers used Kerbal Space Program for realistic space simulation.

ChatGPT has proven it can do more than write poems or answer questions, it may be able to fly a spaceship. Researchers explored control ability of LLMs in space mission.

In their study they explained that they did this through a competition based on the Kerbal Space Program Differential Games Challenge. ChatGPT caught the scientific world by surprise through its second-place finish in the autonomous spacecraft simulation event.

“You operate as an autonomous agent controlling a pursuit spacecraft,” was the initial prompt researchers gave ChatGPT, as reported by LiveScience .

From there, the AI showed it could make complex decisions, orient the spacecraft, and navigate through missions like intercepting satellites and avoiding detection. The model’s outputs were converted into functional code to control a simulated vehicle in real-time.

Traditional spacecraft navigation systems need constant training and tuning, which makes them impractical for fast-moving, real-time missions. However, the researchers argue that average LLMs such as ChatGPT operate with pre-trained knowledge bases that allow them to adapt to new situations through specific, well-designed prompts.

The researchers argue that this new approach could change the way we control satellites and deep-space missions, especially in situations where human real-time intervention becomes impossible. The AI system demonstrated its ability to rival traditional differential equation-based models through short testing periods, despite its short training.

Obviously risks remain, like AI “hallucinations” that could cause dangerous errors. The team noted, “There is no doubt that training a LLM can leverage prior knowledge and improve it for specific scenarios.”

The results will be published in the Journal of Advances in Space Research , and the team has open-sourced their code and data for further experimentation. An AI piloting our next space mission might not be as far off as it sounds.