M
MercyNews
Home
Back
Yandex Travel dévoile un outil d'IA pour l'analyse du marché de la location
Technologie

Yandex Travel dévoile un outil d'IA pour l'analyse du marché de la location

VC.ru3h ago
3 min de lecture
📋

Points Clés

  • Yandex Travel a lancé un nouvel outil d'intelligence artificielle spécifiquement conçu pour analyser le marché de la location et suggérer des tarifs optimaux.
  • Le système fonctionne en évaluant des propriétés comparables et leurs caractéristiques spécifiques pour générer des recommandations de prix basées sur les données.
  • Cette fonctionnalité est intégrée directement à la plateforme Yandex Travel, fournissant des informations en temps réel aux propriétaires et aux voyageurs.
  • L'outil représente une avancée significative dans l'automatisation des stratégies de tarification au sein du secteur compétitif de l'hébergement touristique.
  • En s'appuyant sur l'IA, la plateforme vise à accroître la transparence du marché et à aider les utilisateurs à fixer des tarifs de location compétitifs basés sur les données actuelles.

Résumé Rapide

Yandex Travel a introduit un nouvel outil sophistiqué alimenté par l'intelligence artificielle, conçu pour analyser le marché de la location en temps réel. Cette innovation vise à aider les propriétaires et les voyageurs en fournissant des informations basées sur les données concernant la valeur de marché équitable.

Le système fonctionne en évaluant un large éventail de propriétés comparables et leurs attributs spécifiques. En traitant ces informations, l'outil génère des suggestions de tarification qui s'alignent sur les conditions actuelles du marché, offrant une approche rationalisée pour fixer les tarifs de location.

Comment Fonctionne l'Outil d'IA

La fonctionnalité principale de la nouvelle fonctionnalité repose sur des algorithmes d'apprentissage automatique avancés. Ces algorithmes sont entraînés à identifier et à analyser des propriétés similaires à celle en cours d'évaluation, en tenant compte de divers facteurs qui influencent la valeur locative.

Les caractéristiques clés évaluées par le système incluent l'emplacement, la taille, les équipements et l'état général de la propriété. En agrégeant les données de ces listes comparatives, l'IA peut calculer une fourchette de prix qui reflète le paysage concurrentiel actuel.

Le processus est conçu pour être à la fois complet et efficace :

  • Scanne le marché pour trouver des propriétés de location similaires
  • Évalue les caractéristiques et les équipements spécifiques
  • Traite les données de tarification historiques et actuelles
  • Génère un prix compétitif recommandé

Cette analyse automatisée fournit une base pour les décisions de tarification, éliminant une grande partie du travail de supposition traditionnellement impliqué dans le marché de la location.

Impact sur le Marché et Avantages

L'introduction de cet outil de tarification basé sur l'IA a des implications significatives pour l'écosystème de la location. Pour les propriétaires, il offre une méthode fiable pour fixer des prix attractifs pour les voyageurs tout en maximisant les revenus potentiels.

Les voyageurs bénéficient d'une transparence accrue et de l'assurance que les prix listés sont compétitifs et équitables. Cela crée un marché plus équilibré où la tarification est directement liée aux données du marché plutôt qu'à des estimations arbitraires.

L'outil analyse des objets similaires et leurs caractéristiques et, sur la base de ces données, propose un prix compétitif.

En s'appuyant sur les données, la plateforme renforce la confiance entre les hôtes et les invités, favorisant un environnement de location plus dynamique et réactif.

Intégration Stratégique

Cette fonctionnalité est une extension naturelle de la suite de services existante de Yandex Travel. Elle s'intègre de manière transparente dans l'interface de gestion des réservations et des listes de la plateforme, la rendant accessible à un large éventail d'utilisateurs.

L'outil fait partie d'une tendance plus large au sein de l'industrie du voyage à utiliser l'intelligence artificielle pour l'efficacité opérationnelle. En automatisant des tâches analytiques complexes, les plateformes peuvent offrir une valeur ajoutée à leurs utilisateurs sans nécessiter d'effort manuel supplémentaire.

Les aspects clés de l'intégration incluent :

  • Capacités de traitement des données en temps réel
  • Interface conviviale pour la révision des prix
  • Mises à jour continues basées sur les fluctuations du marché

Cette démarche stratégique positionne la plateforme comme un leader dans l'utilisation de la technologie pour résoudre les défis pratiques dans le secteur du voyage.

Perspectives d'Avenir

Le déploiement de cet outil d'analyse de marché marque une étape décisive dans l'évolution des stratégies de tarification des locations. À mesure que la technologie mûrit, on s'attend à ce qu'elle intègre des variables encore plus nuancées, telles que la demande saisonnière et les événements locaux.

Pour l'industrie, cela représente un passage vers une prise de décision centrée sur les données. La capacité d'accéder instantanément à des informations précises sur le marché permet aux utilisateurs de faire des choix éclairés, contribuant finalement à un marché plus efficace et transparent.

Le succès de cette initiative pourrait ouvrir la voie à des innovations similaires dans d'autres secteurs de l'industrie du voyage et de l'hôtellerie, soulignant l'importance croissante de l'IA dans la modélisation des futurs modèles commerciaux.

Questions Fréquemment Posées

Quelle est la nouvelle fonctionnalité sur Yandex Travel ?

Yandex Travel a introduit un outil alimenté par l'IA qui analyse le marché de la location. Il évalue des propriétés similaires et leurs caractéristiques pour suggérer des tarifs de location compétitifs basés sur les données actuelles du marché.

Comment fonctionne l'outil de tarification IA ?

L'outil utilise des algorithmes d'apprentissage automatique pour scanner le marché à la recherche de propriétés de location comparables. Il évalue des facteurs comme l'emplacement, la taille et les équipements pour calculer une fourchette de prix recommandée qui reflète le paysage concurrentiel actuel.

Qui bénéficie de ce nouvel outil ?

Les propriétaires et les voyageurs bénéficient tous deux. Les propriétaires reçoivent des suggestions de tarification basées sur les données pour maximiser les revenus, tandis que les voyageurs gagnent en transparence et en assurance que les prix listés sont équitables et compétitifs.

Quelle est la signification de ce développement ?

Ce développement met en lumière le rôle croissant de l'intelligence artificielle dans l'industrie du voyage. Il rationalise le processus de tarification, augmente l'efficacité du marché et favorise une plus grande confiance entre les hôtes et les invités grâce à des informations basées sur les données.

Continue scrolling for more

L'IA transforme la recherche et les preuves mathématiques
Technology

L'IA transforme la recherche et les preuves mathématiques

L'intelligence artificielle passe d'une promesse à une réalité en mathématiques. Les modèles d'apprentissage génèrent désormais des théorèmes originaux, forçant une réévaluation de la recherche et de l'enseignement.

Just now
4 min
199
Read Article
Pourquoi je reste au Massachusetts malgré la taxe sur les millionnaires
Politics

Pourquoi je reste au Massachusetts malgré la taxe sur les millionnaires

Sam Slater, promoteur immobilier et propriétaire minoritaire des Seattle Kraken et Memphis Grizzlies, explique pourquoi il choisit de rester au Massachusetts malgré la taxe sur les millionnaires et l'idée de déménager en Floride.

2h
7 min
6
Read Article
LSEG lance une maison de règlement numérique pour l'argent des banques commerciales
Economics

LSEG lance une maison de règlement numérique pour l'argent des banques commerciales

La Bourse de Londres lance une maison de règlement numérique utilisant des dépôts bancaires tokenisés pour un règlement instantané et continu sur les réseaux blockchain et traditionnels.

2h
5 min
6
Read Article
Purificateurs d'air Coway : Les meilleurs modèles en promotion maintenant
Lifestyle

Purificateurs d'air Coway : Les meilleurs modèles en promotion maintenant

Des réductions exclusives sont maintenant disponibles sur les purificateurs d'air Coway, une marque constamment recommandée par les experts. Trouvez le modèle parfait pour améliorer la qualité de votre air intérieur, y compris des options pour les grands espaces.

2h
5 min
6
Read Article
Meilleurs trackers de fitness abordables pour 2026 : Technologie santé à petit prix
Technology

Meilleurs trackers de fitness abordables pour 2026 : Technologie santé à petit prix

Vous n'avez pas besoin de dépenser une fortune pour suivre votre santé. Les trackers de fitness abordables modernes offrent une surveillance de la fréquence cardiaque, une analyse du sommeil et un suivi GPS à des prix accessibles.

2h
7 min
6
Read Article
Nvidia is staffing up as it draws heightened scrutiny. These are the key leaders it gained and lost last year.
Technology

Nvidia is staffing up as it draws heightened scrutiny. These are the key leaders it gained and lost last year.

Jensen Huang Patrick T. Fallon / AFP via Getty Images Nvidia has added key marketing, policy, and HR executives over the past year. Several senior software acqui-hires came via startup deals. Executive turnover appeared to slow in 2025 compared to high-level departures in 2024. Nvidia has added high-profile names to its senior leadership and technical ranks over the past year, as the chipmaker reaches new levels of visibility and wealth. Nvidia's latest major hire is its first chief marketing officer, Alison Wagonfeld, a veteran of Google Cloud. Over the past year, the company has also acqui-hired senior software leaders through startup deals, tapping its balance sheet to supercharge growth. It has also sought talent from outside the tech industry, including hires from government and academia. Taken together, they underscore Nvidia's position as an AI chip designer expanding its software products, with added cybersecurity and marketing muscle to engage governments and large enterprise customers, alongside software and research executives to build the programs that run on its hallmark GPUs. While 2024 saw the departure of key leaders, such as Keith Strier, Nvidia's former vice president of worldwide AI initiatives, and enterprise computing executive Manuvir Das, turnover at the top was more limited in 2025. Nvidia did not respond to a request for comment from Business Insider. Here's a list of key hires Nvidia has made since January 2025: Kristin Major, SVP of human resources Kristin Major, senior vice president of human resources at Nvidia Business Wire/AP Kristin Major joined Nvidia as senior vice president of human resources last February, after spending over 13 years at Hewlett Packard Enterprise, where she held roles across the company's legal and HR departments. At Nvidia, Major serves on CEO Jensen Huang's executive leadership team, according to the executive search firm ON Partners. Jiantao Jiao, director of research Nexusflow cofounders Kurt Keutzer from the Berkeley AI Research (BAIR) Lab and Professor Jiantao Jiao, along with industry AI leader Jian Zhang. (Photo: Business Wire) Business Wire/AP Jiantao Jiao announced he was joining Nvidia in June. He works on AI post-training, evaluation, agents, and building better infrastructure, with the aim of fostering collaboration between academia and industry. Previously, he was the CEO and cofounder of Nexusflow AI, and he is a professor at the University of California, Berkeley. Mark Weatherford, head of cybersecurity policy and strategic engagement Mark Weatherford Business Wire/AP Mark Weatherford serves as Nvidia's head of cybersecurity policy and strategic engagement. Prior to joining Nvidia, he held several roles across the public and private sectors, including serving as the nation's first deputy undersecretary for cybersecurity at the Department of Homeland Security during the Obama administration. Rochan Sankar, founder and CEO of Enfabrica Rochan Sankar, the founder and CEO of AI startup Enfabrica, is joining Nvidia through a $900 million acqui-hire in September that also saw the chip giant license his startup's technology. Other employees at Enfabrica — which builds systems to cluster GPUs together for large AI workloads — also joined Nvidia as part of the deal. Krysta Svore, vice president of applied research — quantum computing Krysta Svore joined Nvidia in November after nearly 20 years at Microsoft, where she served as VP of advanced quantum development. At Nvidia, she'll "lead applied research and engineering across the quantum stack," according to a LinkedIn post. Danny Auble, senior director of system software Late last year, Nvidia acquired Danny Auble's startup SchedMD, which creates the open-source workload management software Slurm. Nvidia said it will keep Slurm open-source and continue to invest in the software. Auble serves as Nvidia's senior director of system software. Jonathan Ross, chief software architect, and Sunny Madra, vice president of hardware Jonathan Ross, the CEO of the AI chip company Groq AP Nvidia hired Groq founder Jonathan Ross and COO Sunny Madra in December, following a $20 billion deal to license its inferencing technology. The deal signaled a significant shift in the AI market from training to inference. Groq said in a press release that while some team members would join Nvidia, the company will continue to operate independently. Alison Wagonfeld, chief marketing officer Alison Wagonfeld Business Wire/AP Alison Wagonfeld, who served as Google Cloud's head of marketing for roughly a decade, joined Nvidia in January as its first-ever CMO. In "moving from one AI leader to another," Wagonfeld wrote on LinkedIn that she would join Huang's leadership team and head up marketing and communications at the company through "its next phase of growth." Notable departures from Nvidia since 2025 Dieter Fox, former senior director of robotics research Dieter Fox, Nvidia's former senior director of robotics research, left the company in June after roughly eight years to join Ai2, a nonprofit AI research institute. At the institute, Fox works on foundation models for robotics. Minwoo Park, former vice president Minwoo Park, a vice president at Nvidia who worked on autonomous vehicle research, left the company this month to join Hyundai. At the automaker, Park will serve as head of the advanced vehicle platform division and CEO of its self-driving arm, 42dot, working on software-defined vehicles and autonomous driving software. Ellen Ochoa and Rob Burgess, board members Former President Joe Biden presents Ellen Ochoa, the first Hispanic woman in space and a former Nvidia board member, with a Presidential Medal of Freedom on May 3, 2024. Tom Williams/CQ-Roll Call, Inc via Getty Images Nvidia lost two board members in 2025. Ellen Ochoa, a veteran astronaut who served on the nominating and corporate governance committee, left for personal reasons in July, while Rob Burgess, a longtime tech executive, died in December. Have a tip? Contact this reporter via email at gweiss@businessinsider.com or Signal at @geoffweiss.25. Use a personal email address, a nonwork WiFi network, and a nonwork device; here's our guide to sharing information securely. Read the original article on Business Insider

2h
3 min
0
Read Article
Business spending on OpenAI models jumps to a record, new data shows
Technology

Business spending on OpenAI models jumps to a record, new data shows

OpenAI CEO Sam Altman Florian Gaertner/Photothek via Getty Images/Reuters OpenAI leads enterprise AI adoption, far outpacing Anthropic and Google, according to new data. Ramp data shows 46.6% of US businesses paid for AI services in December 2025. OpenAI's gains reflect increased recurring use across software, research, and customer support. Maybe the Code Red worked? OpenAI is crushing it with business users and is far ahead of rivals such as Anthropic and Google in the enterprise AI market, according to new data this week. That's a contrast to some of the hand-ringing that's gone on since Google's Gemini chatbot began gaining on ChatGPT a few months ago. The new data comes from Ramp, a startup that helps companies pay their bills. Ramp analyzes corporate card and bill-paying activity on its platform from more than 50,000 US businesses to track billions of dollars spent on AI services each month. The latest numbers cover December 2025. The report shows that OpenAI regained momentum among US businesses, posting its strongest growth in months as overall corporate adoption of AI continued to accelerate. The share of US businesses paying for AI products and services rose to 46.6% in December, up 1.6 percentage points from November. That was the largest month-over-month increase since mid-2025, Ramp data shows. Much of that growth was driven by OpenAI. Business adoption of OpenAI products climbed two percentage points to 36.8%, reversing a short-lived slowdown in the fall and reaching a new record high. Ramp's line-item data shows gains in both enterprise chat subscriptions and API spending, suggesting broader OpenAI usage across office workers and technical teams. It's unclear how many current paid users OpenAI has, but the company said in November 2025 that it had 1 million business customers. A chart from Ramp Ramp The rebound underscores OpenAI's continued dominance in the enterprise AI market at a time when companies are moving beyond experimentation. Rather than trial use, December's growth reflects recurring spend tied to everyday business functions, including software development, research, finance, sales, and customer support. Competitors continued to gain ground, though at a slower pace. Anthropic's adoption rose to 16.7%, with growth concentrated among technology companies making heavy use of APIs. Google's AI adoption increased to 4.3%, a figure Ramp notes likely understates usage because many businesses access Gemini for free through Google Workspace plans. These Ramp numbers also exclude business use of free AI tools, in which no paid transaction occurs, and when employees use personal accounts with AI companies to complete work tasks. This means the data likely underestimates actual AI adoption rates. Sign up for BI's Tech Memo newsletter here. Reach out to me via email at abarr@businessinsider.com. Read the original article on Business Insider

2h
3 min
0
Read Article
A startup therapist says most founder blowups can be solved in three ways
Technology

A startup therapist says most founder blowups can be solved in three ways

Yariv Ganor started focusing on providing therapy to startup founders six years ago. Yariv Ganor Cofounder relationships can get tense, especially when fundraising or keeping pace with the AI industry. Therapist Yariv Ganor advises founders on managing identity, stress, and mental health. Many founders say their "always on" mentality is key to their success. The most intimate relationship of an entrepreneur's life may not be with a spouse or a best friend, but with their cofounder. When it works, a thunderbolt idea can become a unicorn. When it doesn't, conflict can sink the ship just as quickly as it took off. Though confounder conflict isn't particularly new to Silicon Valley, the pressure to launch a successful AI startup, especially among young founders in San Francisco, is only mounting. The pace of dealmaking and technological advancements makes it all the more important to address internal fractures. And it's a new year, and that's always cause for some well-meaning reflection — and perhaps an influx of founders interested in couples, err, cofounder therapy. Yariv Ganor, a therapist based in Israel, has been counseling startup founders for the past six years. Ganor, who is trained as both a clinical and industrial psychologist, knows a thing or two about startup life. He used to work in marketing at various Israeli startups. Some research suggests that Ganor is onto something. Nearly seven in ten founders in a 2025 study said that their "always on" mentality was foundational to their success, while over 70% of participants in a 2018 study on psychiatric conditions among entrepreneurs reported experiencing higher rates of depression, ADHD, and other mental health conditions compared to non-entrepreneurs. Ganor sees the consequences of that strain play out in real time, especially as startups scale, funding multiples, expectations mount, and stress compounds. After years of working with founders, Ganor told Business Insider his three pieces of advice he repeatedly gives cofounders: Your startup isn't your identity, even if it feels like one For many founders, the line between who they are and what they do blurs fast, Ganor said. "Being a founder is a question of identity: It's a personal identity, not just a job," he added. "Sometimes they get so wrapped up in their titles that they forget parts of themselves." When work life crowds out everything else — personal relationships, hobbies, and more — Ganor said it becomes difficult for founders to maintain a sense of self outside the company. Founders are, Ganor thinks, trained to problem solve, execute, and optimize, often at the expense of reflection, which may have downstream effects on leadership, decision-making, and cofounder relationships. That's why a core part of Ganor's work is helping founders create diffusion between work and play. Ganor requires that founders take their meetings with him outside of the office and offers them tools for compartmentalizing their career and personal stressors. 'Mental runway' is as real as financial runway Founders ride or die by their runway, or how much cash they have left in the bank. What they don't track nearly as closely as they should, Ganor said, is their own capacity to keep going. In his experience, many founders believe they have unlimited mental stamina and can always push through those "996" work weeks, a demanding schedule — and an ascendant trend in Silicon Valley — that encourages founders and employees to work from 9 a.m. to 9 p.m. six days a week. Instead, Ganor wants founders to think about their mental health in the same way they think about their financial stakes in their companies: "Don't dilute your mental equity," he said. "You need to be very knowledgeable of your mental runway — once the startup starts, your runway gets shorter and shorter." Preserving that runway, Ganor thinks, starts with recognizing your responsibilities — to team members, clients, investors, and others — and how quickly they might multiply as the startup scales. The old adage, rejection is redirection It's no secret that few founder stories end in rollicking success. Ganor implores his clients to never frame the pivots or even closures as failures. Sometimes, he said, success can even look like preventing an unideal ending from becoming worse, adding that he once helped cofounders who were unwinding their startup finalize their business dealings with minimal conflict. Ganor is currently studying the relationship between founders and investors, especially how they both think about company pivots. One of his findings: Most rejection isn't personal. Read the original article on Business Insider

2h
3 min
0
Read Article
A16z partner shares 3 things founders should be able to 'materialize' if they want to be successful
Technology

A16z partner shares 3 things founders should be able to 'materialize' if they want to be successful

Andreessen Horowitz partner Alex Rampell said he likes founders with a chip on their shoulder. Charles Eshelman/Getty Images for AOL A16z general partner Alex Rampell said founders need to materialize labor, capital, and customers. Labor can be challenging, especially in a white-hot AI talent market. Customers are often the hardest to find. Capital is about storytelling. "Can they convince people like me to give them money?" Rampell asked. Any good founder should be able to deliver this trifecta, according to Andreessen Horowitz general partner Alex Rampell. The VC has a long history in the startup game. He invested in and advised startups such as Pinterest and CardSpring before joining A16z, where he has led deals with Plaid, Mercury, and Opendoor. On the "20VC" podcast, Rampell shared three criteria for founders: "You want to invest in people that can materialize labor, capital, and customers." Labor is the first piece — and often the hardest to meet. As the AI talent wars intensify and international employment visas become increasingly inaccessible, securing the right workers can be challenging for an early-stage company. Rampell said that people are paid "a fortune" to work at a larger AI lab, such as OpenAI, Anthropic, or Meta. "If you quit your job to start a company, and you can snap your fingers and five people follow you tomorrow for a 50% pay cut, that's pretty magical," he said. Next comes capital, the piece Rampell knows personally as a venture capitalist. There's an art to fundraising. It's not just about preparing a deck or having the right connections; it's about telling a story. Founders need to be able to present their company as the horse that investors want to bet on. "Can they convince people like me to give them money?" Rampell asked. "That means, hopefully, that n+1, n+2, n+3 rounds will be a little bit easier." Finally, there's the question of customers. While capital can juice a startup's operations, people still need to want the product — and continue to want it later on. Rampell described the best customers as "hostages," so dependent on the service that they'll never stop spending. Finding the first five customers can be as hard, if not harder, than finding the first five employees, Rampell said. He gave the example of approaching a potential customer who asks two questions: how much money do you have on hand, and how many customers do you have. Answering zero to the second question can be a death knell. "How can you pull that off?" Rampell asked. The VC also shared two "sub-appendages" that he looks for as good signs. The first, he said, was studying the history of the industry. He listed examples like Vlad Tenev at Robinhood and Brian Chesky at Airbnb as well-read in their fields. His second "sub-appendage" pertained to his favorite book, "The Count of Monte Cristo." It's a tale of revenge, he said — and a good message for startup founders. "I love seeing that fire," he said. "They have some childhood chip on their shoulder, or they were wronged at their last company." Still, those three traits are key. Focus on: labor, capital, customers. Read the original article on Business Insider

2h
3 min
0
Read Article
Le PDG de Bank of America alerte sur un possible transfert de 6 000 milliards de dollars vers les stablecoins
Economics

Le PDG de Bank of America alerte sur un possible transfert de 6 000 milliards de dollars vers les stablecoins

Le PDG de Bank of America alerte sur un possible transfert de 6 000 milliards de dollars vers les stablecoins si les règles sur le rendement changent, ce qui pourrait bouleverser la banque traditionnelle.

2h
5 min
6
Read Article
🎉

You're all caught up!

Check back later for more stories

Retour a l'accueil