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India’s 7 major railway stations to get AI surveillance and facial recognition; these railway stations are… |

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In a recent update, seven major Indian railways stations will get an AI-upgrade that will change the world of travel and passenger safety. These railway stations will introduce AI-powered facial recognition surveillance systems. The technical move is part of a broader plan to modernise and enhance public security with the help of technology.Every station experiences millions of passengers every year. A look at the seven railway stations:Mumbai’s Chhatrapati Shivaji Maharaj Terminus (CST)Mumbai’s Chhatrapati Shivaji Maharaj Terminus is a UNESCO Heritage Site that also happens to be India’s oldest and busiest railway station. You’ll be amazed to know that the CST handles over 3 million passengers on a daily basis. The station is known for its interesting Victorian Gothic structure. Now with the help of AI and modern technology, the station will have a powerful tool to identify known offenders.New Delhi Railway Station (NDLS)

The New Delhi Railway Station is known for handling more than 5 lakh passengers every day. The station remains overcrowded and the AI surveillance along with facial recognition will help track down potential offenders. It can also help in finding missing persons, especially during the festive seasons when the crowd is too much to handle.

Howrah Junction (Kolkata)

Howrah Junction is also among the busiest and oldest railway stations of India. The railway station serves thousands of passengers every day and is an important part of West Bengal’s economy. AI-based facial recognition will help the station in identifying any suspects and missing persons. This is a major step in modernising Howrah railway station.Sealdah Railway Station (Kolkata)Another station chosen for the upgrade is Kolkata’s Sealdah Railway Station. The station connects local and regional destinations and AI will only help in handling the security, and real-time video analytics will allow authorities to spot troublemakers.Chennai Central (Dr M.G.R. Chennai Central Railway Station)

Next on the list is Chennai Central which handles some 5 lakh passengers on a daily basis. The station serves long-distance trains and the introduction of AI surveillance will help in facial scanning and better crowd handling, among others. Secunderabad Railway Station (Hyderabad)Hyderabad’s Secunderabad Railway Station is also a part of the plan. The station handles lakhs of passengers from both South and Central India on a daily basis. The AI facial recognition tool, and automated surveillance alerts will help boost the security on the station.Danapur Railway Station (Bihar)

Bihar’s one of the prominent stations, Danapur Railway Station will also get an AI boost. The station links destinations between Eastern and Northern India and is an important part of Patna. AI surveillance will add a new level of security to the station.





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AI in Travel

Opinion | Should you use AI to plan trips? Why it doesn’t mean a better holiday – South China Morning Post

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Opinion | Should you use AI to plan trips? Why it doesn’t mean a better holiday  South China Morning Post



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AI in Travel

Delta responds to AI pricing controversy: Travel Weekly

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Delta is pushing back against allegations that it is using AI to price discriminate.

The airline’s chief external affairs officer, Peter Carter, penned a letter on July 31 responding to a series of detailed questions put forward by Senate Democrats Mark Warner of Virgina, Richard Blumenthal of Connecticut and Ruben Gallego of Arizona.

“There is no fare product Delta has ever used, is testing or plans to use that targets customers with individualized prices based on personal data,” Carter wrote.

The controversy stems from Delta’s partnership with Fetcherr, a company that deploys AI to generate real-time dynamic pricing. In a July earnings call, Delta president Glen Hauenstein said that Fetcherr-assisted fares made up 3% of its domestic network and that the airline’s goal is to raise that to 20% by the end of the year. 

At Delta’s Investor Day last November, Hauenstein spoke at greater length about Fetcherr, calling it “a full re-engineering of how we price and how we’ll be pricing in the future.” 

He explained that airlines traditionally set price points, then use revenue management to control access to the inventory of those price points. But over time, those functions will be melded together into a single process of offer management. 

The airline, he added, “will have a price that’s available on that flight, on that time to you, the individual.” Early testing, Hauenstein said at that time, had shown “amazingly favorable” revenue versus traditional pricing.

Now Delta’s plan to rapidly accelerate its usage of AI-assisted pricing, coupled with Hauenstein’s reference to individualized pricing, has generated a backlash. 

On the American Airlines earnings call on July 24, CEO Robert Isom said American will deploy AI only for matters that help travelers, such as operations, product display and employee efficiency.

“This is not about bait-and-switch,” Isom said. “This is not about tricking, and others that talk about using AI in that way, I don’t think it’s appropriate. And certainly, from American, it’s not something we will do.” 

Meanwhile, in their July 21 letter, Warner, Blumenthal and Gallego asked Delta to explain which data it is using to set prices.

“Delta’s current and planned individualized pricing practices not only present data privacy concerns, but will likely also mean fare increases up to each individual consumer’s personal pain point at a time when American families are already struggling with rising costs,” the letter reads. 

In his response, Carter said Delta has no tolerance for discriminatory pricing. Delta’s AI pricing engine uses aggregated data, he said, including purchasing and demand data for specific routes and flights. The tool can also help Delta’s data analysts adapt to new market conditions and can factor in thousands of variables simultaneously.

The pricing tool, Carter added, recommends pricing adjustments both upward and downward, “benefitting both our customers and our business.”

Gallego, though, isn’t satisfied. In a statement issued Aug. 1, the Arizona senator said that Delta is telling investors one thing and the public another. He called for further clarification on whether Hauenstein misspoke during the airline’s Investor Day. 



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Expedia says AI is improving the customer experience and generating revenue: Travel Weekly


NEW YORK — Expedia Group, an early adopter of AI, has deployed the technology throughout its platform and reports tangible results. Development executives discussed it during the Explore Local event held here.

Take, for instance, Scout, an AI-powered system the company created. Scout makes recommendations to Expedia’s hotel partners based on what similar properties in the marketplace are doing.

“Based on these recommendations, our hotel partners last year took a million actions with great results,” said Greg Schulze, Expedia’s chief commercial officer. “These actions resulted in 10% incremental transactions and $6 billion of incremental revenue to our partners.”

AI is also “turbo-charging” Expedia’s advertising products, Schulze said, with artificial creative intelligence that generates images and machine learning-powered programs that select the right images for travelers.

Hari Nair, senior vice president and general manager of Hotels.com, provided an example of how Hotels.com is using AI to improve the traveler’s experience. The OTA was among the first to introduce AI filters. Travelers can search for “a hotel with a balcony and a sauna,” he said. The top three most-searched terms are hotels with parking, free breakfast and all-inclusives.

“The conversion in this case is almost 1.3 times the average conversion rate that we see on our site,” Nair said of users who use AI filters.

On Expedia’s consumer-facing app, a new capability launched in January that utilizes AI to analyze more than 2 million flights a day, said Tracey Weber, senior vice president and general manager of the Expedia brand. Its aim is to find fares “that are at least 20% better than the predicted price,” then alert consumers.

“For our travelers, this is a first step in figuring out where might be a great place to go and really inspire them as a demand driver,” she said.

It’s also a conversion driver, according to Weber, with 15% higher conversion with travelers who use the feature.
Additionally, an AI itinerary builder has gotten a good reception among consumers. Weber said 65% or more of Expedia’s customers who use the feature describe it as “a delightful experience.” 

The importance of AI at Expedia

In a press conference, Schulze said AI is “in our DNA.” Sam Altman, CEO of ChatGPT creator OpenAI, previously sat on Expedia’s board. Today, Alexandr Wang, founder of Scale AI and Meta’s AI chief, is a board member.

Expedia Group, Schulze said, thinks of AI in three main buckets. First is improving Expedia’s experience for travelers and partners alike. Second is working with AI-native companies like OpenAI on several fronts, ensuring travelers are still being directed to Expedia and that the company is providing the right kind of content — and accurate content — for AI engines to consume. Third, he said, is productivity.

The Scout example he gave on stage is an example of the third bucket, Schulze said. In addition to providing actionable recommendations to hotel partners, Scout is also deployed internally with Expedia’s sales and technology teams.

Another internal feature Expedia has created for employees is a framework that helps them choose which Large Language Model (AI models behind generative AI platforms like ChatGPT) is right for any given purpose, according to Karen Bolda, chief product and technology officer of Expedia’s B2B business.

“There are over 60-plus models there, because certain models are better at certain things,” Bolda said.

When it comes to AI, Expedia is always considering whether it should partner with other companies that have developed specific products or develop its own in-house, Bolda said. Partnering often enables the company to move faster.

Today, a big focus is “an agent-to-agent ecosystem,” Bolda said, connecting agents doing things like discovery and shopping. As an example of what that might look like, Schulze described the virtual agents Expedia has long employed to chat with users.

They are “pretty straightforward — you ask this question, you get this answer,” he said. “And the technology has evolved now so much to where it’s much more open and fluid.”

That can be combined with Expedia’s content and data, which he called the company’s biggest strength, “to really help our travelers make informed choices, to help our partners find solutions.”

Important to Expedia’s overall AI strategy, Bolda said, is ensuring it’s built into the platform.

“We’re not bolting it on,” she said. “It’s woven throughout the entire platform.”

Schulze said the company tries to be as nimble as possible with AI, and encourages a lot of experimentation.
“The interesting thing is, as advanced as it is, I’d say we’re still in the early days,” he said.

The New York event was Expedia’s first local Explore event. For more than 20 years, Expedia has held an Explore event, typically in Las Vegas. Recently, the company decided to switch off years, alternating between Las Vegas and its headquarters in Seattle, with the addition of regional events. More regional events will be held in London, Cancun and Bangkok.



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