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Amadeus announces Demand360®and MeetingBroker® to be enhanced with artificial intelligence

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Amadeus has partnered with Microsoft and is leveraging OpenAI’s models on Azure to develop a suite of AI integrations that enhance its Hospitality portfolio. The two latest AI tools will provide hoteliers of any background easy access to industry-leading insights and dramatically improve the efficiency of group bookings.

Amadeus Advisor chat is coming to Demand360: Making sophisticated insights instantly available

To help hoteliers stay agile and respond quickly to the fast-changing travel industry, Amadeus is integrating Advisor Chat, its Gen AI chatbot, into its industry-leading Demand360 data product. Powered by Azure OpenAI, Advisor chat offers immediate and intuitive access to crucial insights for teams across various functions, including sales, operations, marketing, and distribution.

Demand360 currently captures the most comprehensive view of the hospitality market to inform hotel strategies. Based on insights from 44,000 hotels and 35 million short-term rental properties, Demand360 provides a 12-month, forward-looking view of a hotel’s occupancy and its market ranking as well as two years of retrospective data.

Amadeus Advisor chat was rolled out to Amadeus Agency360® in 2024. In the year since, customers have enjoyed instantaneous insights. In some cases, Amadeus Advisor has saved analysts approximately a day each week as the bulk of requests can now be handled directly by the wider team.
Amadeus plans to make Advisor available within Microsoft Teams, making it easier than ever to understand performance and make informed decisions.

Transforming group sales with AI: Email to RFP

Amadeus is introducing new AI functionality, Email to RFP, within MeetingBroker to help hotels streamline the handling of inbound group booking requests, a valuable, growing segment of the market.

With Email to RFP, customers will be able to email inbound RFPs directly to MeetingBroker, where AI is then used to evaluate it and create an instant RFP response. To provide accurate, up-to-date information that is specific to each location, Email to RFP will be trained to retrieve additional, relevant information from reliable sources. Email to RFP is powered by Azure OpenAI.

Omni Atlanta Hotel, the first pilot customer, has seen significant returns with faster responses and near autonomous RFP handling.

This builds on the current functionalities of Amadeus MeetingBroker, a centralized hub for managing all group inquiries, no matter how or where they originate. By consolidating leads into a single workflow, MeetingBroker helps hotel sales teams respond faster, reduce missed opportunities, and convert more business.

Amadeus plans to introduce individual AI agents for each of its products, helping travel companies to gain more value by answering queries more easily and more quickly. Amadeus is also working to develop AI agents that will draw on multiple sources when responding to queries, unlocking new levels of insight from across Amadeus’ portfolio.

“As an industry, we’re at an important juncture where the next year of AI development and implementation will shape decades of travel and hospitality. It’s becoming increasingly clear that AI is here to make sense of complexity and support productivity in order to enhance efficiency, return on investment and ultimately increase conversions,” says Francisco Pérez-Lozao Rüter, President of Hospitality, Amadeus.



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3 Artificial Intelligence (AI) Stocks Could Lead the Quantum Computing Revolution

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Quantum computing could be a $200 billion market by 2040. These AI leaders will likely play a significant role in it.

While quantum computing is still in the early stages of its development, the technology has massive potential because it could be capable of exponentially better performance than even the top supercomputers today. Artificial intelligence (AI) requires immense computing power, making the two technologies a logical pairing.

Together, AI and quantum computing could usher in a golden age of innovation. Research by McKinsey & Company estimates that the broader quantum technology market — including quantum computing, quantum communication, and quantum sensing — could grow to nearly $100 billion by 2035 and then double to almost $200 billion by 2040.

With that in mind, this is an excellent time to look at quantum computing stocks that could be potential winners as this technology matures. These three leading AI stocks could help lead the upcoming quantum revolution. Consider adding them to your portfolio today.

Image source: Getty Images

1. Nvidia

You can’t say much about AI before bringing up Nvidia (NVDA 1.10%), the runaway leader in providing parallel processing chips for AI data centers. The company’s expertise in developing high-end graphics processing units (GPUs) and its popular CUDA programming platform, which developers use to help those chips work efficiently on specific types of tasks, were keys to its emergence as an AI sector superpower.

Quantum computing is currently relatively unstable. Today’s machines are prone to errors, and the technology has limited practical use outside of scientific research. Nvidia is developing quantum-accelerated computing, a hybrid technology that combines both quantum and classical computer systems. Its CUDA-Q programming platform helps integrate all these components, allowing developers to build and utilize accelerated quantum for real-world applications.

You could think of it like a car company opting to sell hybrid vehicles instead of pure gas or electric models. It’s a mix of new and old technologies, potentially offering a faster path to market, monetization, and market share in high-end computing applications.

That’s essentially the same playbook that Nvidia used for its AI accelerator chips. Only time will tell whether Nvidia can corner another segment of the computing market, but the company’s ongoing AI momentum makes it a fantastic way for investors to gain exposure to the quantum computing opportunity.

2 Microsoft

Behemoth Microsoft (MSFT -0.20%) operates in a wide array of technology sub-markets, from operating systems to cloud services, and from gaming to enterprise software. Of course, Microsoft has also gotten involved with quantum computing.

Earlier this year, Microsoft announced Majorana 1, the world’s first quantum processing unit (QPU) powered by a topological core. It utilizes an entirely new state of matter (neither solid, liquid, nor gas) and is designed to be scaled up to a million qubits on a single chip.

Beyond innovation, Microsoft has direct pathways to sell quantum technology. The company’s Azure is the world’s second-largest cloud infrastructure platform, and millions of customers worldwide already use its various products and services. Microsoft arguably embodies the technology sector’s version of too big to fail. Plus, the company has a world-class balance sheet and has paid and raised its dividends for 23 consecutive years.

It’s hard to envision the technology giant not having a competitive presence in the quantum revolution, and yet it’s such a diverse and financially sound company that investors don’t need to feel like they’re taking a significant risk on quantum computing when they invest. Microsoft already has a $3.7 trillion market cap, so its further growth won’t make you rich overnight. But if peace of mind is essential to you, it’s hard to go wrong with this stock.

3. International Business Machines (IBM)

Computer infrastructure, AI software, and consulting giant International Business Machines (IBM -0.64%) is no longer the juggernaut it was decades ago. Still, it remains a steady presence in today’s technology landscape and has become one of the leading developers of quantum computers. Its Heron R2 quantum system has achieved some of the highest qubit performance while operating at one of the lowest error rates.

To date, IBM has deployed 13 utility-scale quantum computers and is approaching $1 billion in cumulative bookings for quantum computing. Additionally, IBM has developed Qiskit, a developer platform for building quantum software similar to Nvidia’s CUDA-Q. IBM claims Qiskit has a wide lead in developer support, with nearly 5,000 projects.

IBM is far from a pure play on quantum computing, which means it’s a far safer investment than speculative quantum computing businesses that currently have little to no revenue.

IBM has begun to grow again after transitioning its business away from some legacy offerings, and at current share prices, it offers a 2.3% dividend yield with a healthy payout ratio. Those dividends will help the company provide you with a solid return on your investment while you wait for its long-term quantum computing opportunity to unfold.

Justin Pope has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends International Business Machines, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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Artificial intelligence is a commodity, but understanding is a superpower

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As a developer and a human being, you want to push yourself as much as possible to incorporate the intention of things into your practice. By insisting on understanding a project’s intention and uniting it with your own understanding of the particulars of implementation, you become far more valuable. AI then makes it easier to magnify your intentions into automated activity.

We can speculate that AI will get better at this middle ground in the future, but it will never actually have intention. It will only ever move under human direction. Resist becoming just a connector or interpreter of intention to implementation. Keep on working to develop and contribute your own unique understanding. Implementation can be automated, but the unique qualities of understanding cannot.

Why LLMs will not replace higher-level languages

If you follow the hype cycle, it might seem that AI’s ability to mass produce code to meet requirements makes understanding the intention of that code less important. I’d say it makes it less necessary up front. There may even come a time when AI’s natural language interface is something like what fourth-generation languages are today. I can see a possible future where languages like JavaScript and Python are a layer below the AI interface, akin to how C is today. But if that is the analogy we’re using, then it seems clear we will always need people who deeply understand that layer, just as today we still need people who understand C, assembly machine code, and chip wafers.



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LG AI Research Institute has released a new model of Exemplary Pass, a precision medical artificial ..

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LG AI Research Institute has released a new model of Exemplary Pass, a precision medical artificial intelligence (AI) model.

On the 9th, LG AI Research Institute unveiled ‘EXAONE Path 2.0’, a next-generation precision medical AI model.

Bio is one of the ABCs (AI, Bio, and Clean Tech) that LG Group Chairman Koo Kwang-mo cited as a future growth engine. Exempathy 2.0 is expected to play an important role in the group’s growth strategy.

Exempathy 2.0 is an upgrade of the 1.0 model released in January last year and the 1.5 model released last month, and has learned much higher quality data than the existing model. Pathologic tissue images (WSI) can precisely analyze and predict genetic variation and expression form, microscopic changes in human cells and tissues, and structural features.

Exemplary Pass 2.0 learned multiomics information such as DNA and RNA containing WSI and genetic information together. WSI is a high-resolution digital image taken during the pathologic diagnosis process of observing a patient’s tissue sample under a microscope. However, if AI simply analyzes this, there is a high possibility that a “characteristic collapse phenomenon” will occur, which will lead to poor prediction accuracy.

Exemplary Pass 2.0 applied a new technology that learns from small units to WSI, increasing the accuracy of predicting genetic mutations to 78.4%, the world’s highest level.

In addition, gene activity can be predicted only by image analysis without expensive dielectric tests.

Park Yong-min, leader of the AI business team at LG AI Research Institute, said, “If Exemplar Pass 2.0 is used, the genetic test time that took more than two weeks can be shortened to less than a minute, helping to secure golden time for treatment of cancer patients. If doctors and pharmaceutical companies use Exemplar Pass 2.0, they can identify target treatments in a short time.” The LG AI Research Institute also released additional models specializing in specific diseases such as lung and colon cancer.

LG AI Research Institute also announced a plan to cooperate with Vanderbilt University Medical Center in the United States. It is joined by a research team led by Korean scholar Hwang Tae-hyun, who leads the stomach cancer project of Cancer Moonshot, a cancer conquest project led by the U.S. government. Professor Hwang said, “Our goal is to create an AI platform that can help medical staff treat and treat patients in the actual medical field. The AI platform will not be just a diagnostic tool, but a game changer that innovates the entire process of new drug development.”

Starting with the field of cancer, LG AI Research Institute and Professor Hwang’s research team plan to expand the scope of research to rejection of transplants, immunology, and diabetes in the future. LG AI Research Institute is planning to introduce Exemite Pass 2.0 at the ‘LG AI Talk Concert 2025’ on the 22nd.

[Reporter Lee Deok-ju]



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