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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 Words That Could Be a Big Problem for Artificial Intelligence (AI) Chatbots

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Key Points

  • Tech company Cloudflare is making it easy for content owners to deploy pay per crawl.

  • If chatbots have to pay each time they crawl a website, that can drastically increase their operating costs.

Many tech companies are investing heavily into artificial intelligence (AI) chatbots, which can help address customer queries efficiently and allow businesses to reduce their staffing levels. Grok, Claude, ChatGPT, Gemini, Perplexity, and Copilot are just some of the names you’ve probably encountered by now. And those are just some of the more popular chatbots.

The excitement around chatbots and their ability to collect, analyze, and summarize data has many people excited about their potential. But there are three words that could derail that potential and significantly increase the costs for the companies that are betting on chatbots: pay per crawl.

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Image source: Getty Images.

Cloudflare to offer pay per crawl

Cloudflare(NYSE: NET) helps people and companies create websites and make them both faster and more secure. And it has recently announced a new feature that could stifle chatbots: pay per crawl. What this means is that content owners could ensure that they are compensated when AI chatbots access their sites, collect data, and use it in a response to a user’s query.

This is what I expect to be the norm going forward. That’s because the danger for content owners is that if a chatbot can simply scrape information from a website, without compensating the owner for it, that results in less traffic and fewer ad dollars. Restricting access is one option, but forcing AI chatbots to pay for access is another one. And it’s crucial for chatbots because if they don’t have access to the latest information, their answers can quickly become outdated and less useful to the end user.

Given how common it is these days to see a company having its own chatbot, I believe the future will be that chatbots are all operating within their own silos and pull only company-specific information. Being able to scour and scrape the internet for all the best content seems improbable, given the costs that could be incurred from doing so, especially if sites deploy pay per crawl.

Earlier this year, OpenAI’s CEO Sam Altman said that even on a $200-per-month pro subscription for ChatGPT, the company was losing money. And that’s without having to worry about the costs if pay per crawl were initiated at a large scale. Under that scenario, it can be much more difficult for a company running an AI chatbot to turn a profit.

Investing in AI chatbots may not be a recipe for success

Many big tech companies can afford to invest heavily into tech, and they have indeed done so. One of the best examples of that is Meta Platforms (NASDAQ: META), which owns popular social media applications such as WhatsApp and Facebook.

It recently announced the launch of a new AI division, as it spends heavily on AI-related growth. Last month, it also announced a $14 billion investment into Scale AI and hired its co-founder, Alex Wang, to help lead Meta’s AI efforts.

The company has its own chatbot, Meta AI, which it is offering as a stand-alone app, as it looks to compete with others, including ChatGPT. Meta, with billions in monthly active users, has a ton of user data it can tap into. But in building up strong AI capabilities for its business and chatbot, it could result in more significant expenditures in the future, making it difficult for this to be a profitable venture down the road.

While Meta has deep pockets and has generated free cash flow of over $52 billion in the trailing 12 months, investors will want to keep a close eye on the company’s AI efforts, to ensure the new division doesn’t just become another money pit like Reality Labs.

Investors should tread carefully with stocks spending big on AI

AI is the new buzz term in tech, and while companies are falling over themselves spending heavily on these next-gen technologies, it’s unclear just how big of a payoff there might be from such efforts — if there will even be one at all. Some companies will undoubtedly become more efficient and profitable by improving their operations. But in other cases, especially when the focus is on chatbots, that may not be the case.

The prudent thing for investors to do when looking at tech stocks is to see what their plans are for AI, and how they believe their investments will lead to improved financials down the road. If there isn’t a clear plan and if it’s just about investing heavily into AI and into chatbots, that can be a sign that the company may be going down a spending spree that could end up doing more harm than good.

There’s a lot of excitement around AI these days, but it’s important to keep it in check. Hype can help a stock rally in the short term, but it’s strong fundamentals that will ensure its value remains high over the long haul.

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Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. David Jagielski has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Cloudflare and Meta Platforms. The Motley Fool has a disclosure policy.



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RadNet subsidiary DeepHealth acquires iCAD

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RadNet has completed the acquisition of breast AI developer iCAD, which will be integrated into RadNet’s subsidiary DeepHealth.

Through the acquisition, iCAD’s AI portfolio for breast cancer detection, risk evaluation, breast density, and breast arterial calcification assessment will be integrated with DeepHealth’s screening and diagnostic software.

RadNet estimates that with iCAD’s installed base of more than 1,500 healthcare provider locations worldwide, this acquisition will allow DeepHealth to scale its work to over 10 million mammograms annually.



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Artificial Intelligence News Live: AI firms are unprepared for risks of human-level systems, report warns

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