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OpenAI to Start Offering Chatbot Ads to Advertisers, Report Says

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OpenAI has begun offering advertising placements within its chatbot to a select group of marketers, marking a significant shift in its business model, according to a report by The Information.

The report said OpenAI is inviting dozens of advertisers to participate in a trial period lasting several weeks, with individual spending commitments below $1 million. Ads are expected to begin appearing in early February and will be priced based on the number of views rather than clicks. Reuters could not independently verify the report, and OpenAI did not immediately comment.

OpenAI is reportedly still developing tools that would allow advertisers to buy ads directly through a self-service system. For now, the process is being handled more manually as the company tests demand and format. The move follows OpenAI’s recent decision to begin showing ads to some U.S. users, as it looks to diversify revenue beyond subscriptions.

The push into advertising underscores growing pressure on OpenAI to fund the rising costs of AI development and data center infrastructure. Backed by Microsoft, the company is widely expected to pursue a public listing in the future, increasing the need for scalable and predictable revenue streams.

Wipro CEO Sees Growing Demand for India’s IT Services From AI

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Artificial intelligence is increasingly driving demand for India’s IT services, as companies move beyond pilot projects and begin rolling out large-scale AI initiatives, according to Srini Pallia, chief executive of Wipro.

Speaking on the sidelines of the World Economic Forum in Davos, Pallia said Wipro is competing for a mix of small, large, and mega AI-related deals as clients across industries adopt the technology at different stages of maturity. While pricing pressure remains intense due to faster delivery timelines and leaner teams enabled by AI, he expects the number of smaller projects to rise as adoption widens.

India’s $283 billion IT sector has faced several quarters of slower growth as global clients cut technology spending amid economic and geopolitical uncertainty. Pallia said enterprise AI spending is now shifting from experimentation to accountability, with boards and executives demanding clear returns on investment.

He added that AI-assisted software development could cut costs by about 25% through productivity gains in coding and testing, leading to more projects over time. Wipro launched a three-year, $1 billion investment plan in 2023 to strengthen its AI capabilities.

Bristol Myers Partners With Microsoft for AI-Driven Lung Cancer Detection

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Bristol Myers Squibb has signed a partnership with Microsoft to use artificial intelligence-powered radiology tools to speed up the early detection of lung cancer, the companies said on Tuesday.

Under the agreement, Bristol Myers will deploy U.S. Food and Drug Administration-cleared radiology AI algorithms through Microsoft’s Precision Imaging Network. The platform analyzes X-ray and CT scan images to help clinicians identify lung disease and is already used by hospitals across the United States.

The companies said the AI tools could help doctors detect hard-to-spot lung nodules and identify patients at earlier stages of disease, when treatment options are more effective. A key objective of the collaboration is to expand access to early lung cancer detection in medically underserved areas, including rural hospitals and community clinics.

Alexandra Goncalves, vice president and head of digital health at Bristol Myers Squibb, said the partnership combines Microsoft’s scalable imaging technology with Bristol Myers’ oncology expertise to create an AI-enabled workflow that supports faster and more accurate diagnosis of non-small cell lung cancer and guides patients toward appropriate care pathways.

Pharmaceutical companies are increasingly adopting AI to improve efficiency across research, development, and clinical workflows. The collaboration reflects a broader industry push to apply AI not only to drug discovery but also to diagnostics and patient care, particularly in oncology.