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The promise of travel in the age of AI

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Every generation has its own “golden age” of travel, often defined by the widespread adoption of new technology—from the jet engine of the 1950s that drastically reduced travel times to the dot-com period of the 1990s that allowed customers to build their dream itineraries online. Today, a new era of digitally enabled travel is upon us. Advances in artificial intelligence (AI), including generative AI (gen AI), and machine learning (ML) are equipping the industry to reimagine what it means to plan, book, and experience travel. This surge of innovation sets the stage for travel companies to rethink how they interact with customers, develop products and services, and manage operations.

Advances in technology have also transformed consumers’ expectations. Since 2013, time spent on digital devices has grown by 70 percent, and this trend only accelerated during the COVID-19 pandemic as online interactions increasingly replaced in-person contact. 1 Based on data from U.S. Census Bureau and Statista. See State of travel 2023 , Skift Research, July 21, 2023. However, traditional travel is unique in that it is an inherently human-centric experience. The industry, therefore, has an opportunity—perhaps even a duty—to define what travel will look like in the digital age.

Most travel companies aim to provide exceptional service and deliver the perfect trip. But, instead of ease, excitement, and delight, travel operators too often fall short of meeting baseline expectations of timing and quality. In fact, nearly 80 percent of American travelers experienced at least one travel-related problem in the first half of 2023. 2 Lane Gillespie, “Survey: 77% of travelers plagued by travel problems amid booming season; more than half saw higher prices,” Bankrate, July 10, 2023.

In the 2021 report, Rebooting customer experience to bring back the magic of travel , McKinsey and Skift Research found that leisure travelers were eager to get back to the sky, water, and road—so much so, that they were often willing to overlook customer-service issues and inconveniences. Customer satisfaction ratings at the time were high, even in a period of intense disruption when negative sentiment was on the rise. 3 Rebooting customer experience to bring back the magic of travel , a joint report from McKinsey and Skift Research, September 2021.

Today, that window of acceptance may have passed. Customer expectations are rising, and tolerance is wearing thin. Despite this, people still aspire to travel and, according to McKinsey’s ConsumerWise  Sentiment Survey, nearly a third of consumers intend to “splurge” on travel expenses in the next three months. 4 McKinsey ConsumerWise Global Sentiment Survey, August 2023, n=4,000. Through both established and new technologies, companies have the opportunity to keep the aspiration to travel alive by closing the persistent gap between the promise and reality of travel.

While larger companies may have more resources to develop in-house capabilities, a robust ecosystem of service providers makes new technologies accessible to companies of all sizes. According to McKinsey Digital estimates, companies that holistically address digital and analytics opportunities throughout their organizations have the potential to see a 15 to 25 percent earnings improvement.

A new report , The promise of travel in the age of AI , produced by McKinsey and Skift Research offers use cases and success stories that detail how technologies are being used, drawing from interviews with executives at 17 companies across five types of travel business. It explores how companies apply advanced data science to better understand and serve customers, delves into how digital and analytics tools can improve products and services, and examines how new technologies augment workforce capabilities and unlock operational capacity. This article highlights some key findings.

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Know your customers like you know your friends

Over the past two decades, the variety and volume of customer data that travel companies can capture has increased dramatically; new tools and technologies such as AI-powered assistants are only accelerating this trend. However, this data is often difficult to process and does not always paint a full picture of the customer. Companies may turn to third-party sources to complete their understanding—combining and distilling commercial, operational, financial, and behavioral inputs. Robust marketing technologies can then help distinguish the “signal” from the “noise” in the data to better predict customer behavior.

Having gained a clear and comprehensive understanding, companies can create customer segments to guide how they interact with and serve different customers. Depending on the data available and the analytics capabilities at hand, segmentation can range from grouping customers into segments based on a single macro characteristic (e.g., business versus leisure) to individual “segments of one,” known as hyper-segmentation.

Hyper-segmentation drills down to a ‘segment of one.’

Drilling down to segments of one can enable hyper-personalization, which is broadly defined as the ability to uniquely tailor touchpoints to an individual customer’s needs, preferences, and behaviors. At its core, hyper-personalization is not only about increasing conversion rates, but about providing the customer with an end-to-end experience adapted to their specific context. Considering the level of personalization that is becoming the norm in many aspects of daily life, companies are adopting an ongoing test-and-learn approach to ensure their offers and actions resonate with customers’ rising expectations.

Hyper-personalization can also help companies rebuild trust if operations have gone wrong. Personalized communication reassures customers that they are at the forefront of the company’s mind and instills confidence that a thoughtful recovery plan is in place. For example, companies may share real-time status updates in moments of disruption and provide tailored solutions, or even proactive compensation, to ensure customers feel individually taken care of.

Design your products to surprise and delight

Recent advances are pushing the boundaries of what technology can accomplish. Nothing illustrates this better than the meteoric rise of AI platforms like ChatGPT which garnered one million users in only five days. 5 Steve Mollman, “ChatGPT gained 1 million users in under a week. Here’s why the AI chatbot is primed to disrupt search as we know it,” Yahoo News, December 9, 2022. While this pace of adoption may feel unsettling, it provides an impetus for companies to reimagine their product design and delivery using AI and digitization.

Historically, capabilities such as language, creativity, and aesthetic judgment—once considered uniquely human—could not be scaled through technology. AI, particularly gen AI, offers a new way to augment and scale these capabilities with the potential for enormous benefits: according to McKinsey research , generative AI has the potential to unlock between $2 trillion and $4 trillion in annual value across industries. 6 The economic potential of generative AI: The next productivity frontier , McKinsey, June 14, 2023. In the travel context, gen AI could take the form of a digital assistant that interacts with customers throughout the journey. It can provide personalized trip itineraries during discovery and booking, offer tailored recommendations based on preferences and real-time constraints during the trip, and help resolve unexpected disruptions.

However, AI is only part of the answer. Established digital technology also helps companies deliver on commitments made to customers. Many of these digital assets and tools rely on common systems and capabilities, making them widely attainable—freeing up staff to provide better face-to-face services and build relationships through the human touch. Several such applications can boost guest satisfaction and reduce points of friction in hotels, including guest apps, digital check-ins, digital room keys, and in-room tech. The magnitude of these individual tools is amplified when seamlessly integrated together, making it easier for customers to use digital applications throughout their hotel stay.

Empower your workforce to follow through on promises made

An engaged and productive workforce enables the delivery of experiences and products that satisfy customers. However, the travel industry faces structural labor hurdles and high turnover which makes attracting, training, and retaining top talent challenging. Fortunately, the industry can enhance and scale the capacity of its existing workforce by equipping the frontline with the right tools at the right time. This can free up employees to focus on the things they enjoy most and that make the travel industry tick: quality personal interactions with customers, in essence, the human touch.

Two promising opportunities to improve workforce and operational performance through technology stand out across the travel industry: augmenting frontline capacity and upskilling talent.

In the travel industry today, complex decisions still rely on human expertise and outdated technology such as greenscreen or rudimentary interfaces. This leads to a best-guess approach, the risk of negative outcomes, and a steep learning curve. Travel companies are developing new tools  for the frontline to process complex inputs and help guide “day-of” decision making. For example, advanced simulation models such as digital twins allow companies to conduct rapid “what-if” analyses and provide real-time guidance to the frontline.

According to McKinsey research , new technology, including gen AI, is also shortening training times for new hires while rapidly upskilling the existing workforce. For instance, virtual and augmented reality are used to simulate real-life scenarios to prepare frontline employees to hit the ground running, and gen-AI-enabled "teaching assistants” provide personalized coaching based on individual performance. 7 “ The organization of the future: Enabled by gen AI, driven by people ,” McKinsey, September 19, 2023.

Travel is ripe for innovation

Checklist for the age of ai.

Some travel companies are already successfully deploying digital technology, AI, and ML to reshape how they interact with customers, develop and deliver products and services, and manage people and operations. They’ve taken the following actions—are you on track?

General considerations

  • created a digital wish list—as if the company had infinite time and resources
  • prioritized wish list based on potential short- and long-term benefits as well as the company’s strategic vision and available resources
  • assessed the skills and talent necessary to execute against the prioritized wish list
  • built the right team and identified roadmap to fill remaining gaps
  • inventoried existing internal customer data
  • determined which data variables drive customer behavior and predict customer buying decisions
  • identified relevant third-party data and integrated with internal data to build a complete customer picture
  • considered using a robust MarTech stack to continuously learn and evolve with customers
  • defined a dynamic segmentation and personalization approach based on customer personas
  • adopted test-and-learn mindset to continually implement and refine
  • mapped the end-to-end customer journey and identified pain points
  • used analytics to determine which pain points impact customers the most
  • considered new technology (like AI) to enhance and reimagine the customer journey
  • brainstormed improvements to current digital offerings that would minimize pain points (such as more timely communication)
  • built a product roadmap based on timing and importance of features
  • diagnosed top day-to-day employee pain points
  • determined if digital tools can resolve top pain points (for example, automate repetitive tasks)
  • provided workforce with real-time visibility into critical areas of daily operations
  • used simulation models to plan for multiple future-state scenarios
  • built decision-making tools (such as digital twins) to choose optimal solutions for complex problems
  • defined opportunities to improve training (using tools such as simulation training, VR, AR) and provide feedback (using smart-AI tool)

We believe this is a moment of optimism for the industry. Between reclaiming its historical share of GDP, benefiting from the ongoing corporate travel recovery, and catering to consumer demand for unique experiences, the stage is set for travel’s accelerated growth. Looking ahead, travel is forecasted to grow at an average of 5.8 percent a year through 2032—more than double the expected growth rate of the overall economy (at 2.7 percent a year). 8 “Travel & Tourism sector expected to create nearly 126 million new jobs within the next decade,” World Travel & Tourism Council, April 21, 2023.

This does not mean that travel companies can simply sit back and reap the benefits. Existing and new technologies provide an avenue for companies to capture their share of the industry’s anticipated growth by resetting how they interact with customers, deliver products and services, and empower their workforce. Fortunately, there are a growing number of ways—build, buy, or partner—to help companies get started. The only wrong move is no move.

Susann Almasi is an associate partner in McKinsey’s Carolinas office, Alex Cosmas is a partner in the New York office, Sam Cowan is a consultant in the Minneapolis office, and Ben Ellencweig is a senior partner in the Stamford office.

The authors wish to thank Skift’s Pranavi Agarwal, Seth Borko, and Wouter Geerts as well as McKinsey’s Marisa Ancona, Danielle Bozarth, Vik Krishnan, Nina Lind, Elena Patel, Alessandra Powell, Jules Seeley, and Nirva Vassa, for their contributions to this article.

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The Unique Burial of a Child of Early Scythian Time at the Cemetery of Saryg-Bulun (Tuva)

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In 1988, the Tuvan Archaeological Expedition (led by M. E. Kilunovskaya and V. A. Semenov) discovered a unique burial of the early Iron Age at Saryg-Bulun in Central Tuva. There are two burial mounds of the Aldy-Bel culture dated by 7th century BC. Within the barrows, which adjoined one another, forming a figure-of-eight, there were discovered 7 burials, from which a representative collection of artifacts was recovered. Burial 5 was the most unique, it was found in a coffin made of a larch trunk, with a tightly closed lid. Due to the preservative properties of larch and lack of air access, the coffin contained a well-preserved mummy of a child with an accompanying set of grave goods. The interred individual retained the skin on his face and had a leather headdress painted with red pigment and a coat, sewn from jerboa fur. The coat was belted with a leather belt with bronze ornaments and buckles. Besides that, a leather quiver with arrows with the shafts decorated with painted ornaments, fully preserved battle pick and a bow were buried in the coffin. Unexpectedly, the full-genomic analysis, showed that the individual was female. This fact opens a new aspect in the study of the social history of the Scythian society and perhaps brings us back to the myth of the Amazons, discussed by Herodotus. Of course, this discovery is unique in its preservation for the Scythian culture of Tuva and requires careful study and conservation.

Keywords: Tuva, Early Iron Age, early Scythian period, Aldy-Bel culture, barrow, burial in the coffin, mummy, full genome sequencing, aDNA

Information about authors: Marina Kilunovskaya (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Vladimir Semenov (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Varvara Busova  (Moscow, Russian Federation).  (Saint Petersburg, Russian Federation). Institute for the History of Material Culture of the Russian Academy of Sciences.  Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail:  [email protected] Kharis Mustafin  (Moscow, Russian Federation). Candidate of Technical Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Irina Alborova  (Moscow, Russian Federation). Candidate of Biological Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Alina Matzvai  (Moscow, Russian Federation). Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected]

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[Molecular genetic analysis of TUB18 and TUB20 intragenic polymorphism and various mutations of the CFTR gene in the Moscow region]

  • PMID: 9445824

Allelic frequencies of two intron polymorphisms in the cystic fibrosis transmembrane regulator (CFTR) gene, TUB18 and TUB20, were estimated on chromosomes of 67 cystic fibrosis patients and on that of 37 healthy donors from Moscow and the Moscow oblast. Allele 2 of the TUB 18, and allele 1 of the TUB20 were 2.1 and 1.5 times more frequent on the non-delta F508 chromosomes of the cystic fibrosis patients than on chromosomes of healthy donors, i.e. these alleles were in linkage disequilibrium with the CFTR gene. Allele 1 of the TUB18 marker and allele 2 of the TUB20 marker demonstrated absolute linkage disequilibrium with the delta F508 mutation of the CFTR gene. The degree of association between the TUB18 and TUB20 intron polymorphisms and the GATT and T854T intragenic polymorphisms was analyzed. Of all 62 delta F508 chromosomes tested, 98.3% shared the 2-1-1-2 GATT- T854T-TUB18-TUB20 haplotype. Eight major (more frequent) GATT-T854T-TUB18-TUB20 haplotypes were found in 89.5% of normal, and in 97.9% of non-delta F508 chromosomes of cystic fibrosis patients from the Moscow region. Three of these major haplotypes, 2-1-1-2, 1-2-2-1, and 2-2-1-2, were respectively 2.5, 2, and 1.5 times more frequent on non-delta F508 cystic fibrosis chromosomes than on normal chromosomes. Data on screening for the G542X, N1303K, and 394delTT mutations of the CFTR gene, carried out on 134 chromosomes of cystic fibrosis patients from the Moscow region are presented. The frequencies of the G542X and 394delTT mutations were estimated as 1.5%, while the frequency of the N1303K mutation was 2.2%.

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  • Case-Control Studies
  • Cystic Fibrosis / genetics*
  • Gene Frequency
  • Genetic Markers*
  • Point Mutation*
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Savvino-storozhevsky monastery and museum.

Savvino-Storozhevsky Monastery and Museum

Zvenigorod's most famous sight is the Savvino-Storozhevsky Monastery, which was founded in 1398 by the monk Savva from the Troitse-Sergieva Lavra, at the invitation and with the support of Prince Yury Dmitrievich of Zvenigorod. Savva was later canonised as St Sabbas (Savva) of Storozhev. The monastery late flourished under the reign of Tsar Alexis, who chose the monastery as his family church and often went on pilgrimage there and made lots of donations to it. Most of the monastery’s buildings date from this time. The monastery is heavily fortified with thick walls and six towers, the most impressive of which is the Krasny Tower which also serves as the eastern entrance. The monastery was closed in 1918 and only reopened in 1995. In 1998 Patriarch Alexius II took part in a service to return the relics of St Sabbas to the monastery. Today the monastery has the status of a stauropegic monastery, which is second in status to a lavra. In addition to being a working monastery, it also holds the Zvenigorod Historical, Architectural and Art Museum.

Belfry and Neighbouring Churches

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Located near the main entrance is the monastery's belfry which is perhaps the calling card of the monastery due to its uniqueness. It was built in the 1650s and the St Sergius of Radonezh’s Church was opened on the middle tier in the mid-17th century, although it was originally dedicated to the Trinity. The belfry's 35-tonne Great Bladgovestny Bell fell in 1941 and was only restored and returned in 2003. Attached to the belfry is a large refectory and the Transfiguration Church, both of which were built on the orders of Tsar Alexis in the 1650s.  

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To the left of the belfry is another, smaller, refectory which is attached to the Trinity Gate-Church, which was also constructed in the 1650s on the orders of Tsar Alexis who made it his own family church. The church is elaborately decorated with colourful trims and underneath the archway is a beautiful 19th century fresco.

Nativity of Virgin Mary Cathedral

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The Nativity of Virgin Mary Cathedral is the oldest building in the monastery and among the oldest buildings in the Moscow Region. It was built between 1404 and 1405 during the lifetime of St Sabbas and using the funds of Prince Yury of Zvenigorod. The white-stone cathedral is a standard four-pillar design with a single golden dome. After the death of St Sabbas he was interred in the cathedral and a new altar dedicated to him was added.

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Under the reign of Tsar Alexis the cathedral was decorated with frescoes by Stepan Ryazanets, some of which remain today. Tsar Alexis also presented the cathedral with a five-tier iconostasis, the top row of icons have been preserved.

Tsaritsa's Chambers

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The Nativity of Virgin Mary Cathedral is located between the Tsaritsa's Chambers of the left and the Palace of Tsar Alexis on the right. The Tsaritsa's Chambers were built in the mid-17th century for the wife of Tsar Alexey - Tsaritsa Maria Ilinichna Miloskavskaya. The design of the building is influenced by the ancient Russian architectural style. Is prettier than the Tsar's chambers opposite, being red in colour with elaborately decorated window frames and entrance.

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At present the Tsaritsa's Chambers houses the Zvenigorod Historical, Architectural and Art Museum. Among its displays is an accurate recreation of the interior of a noble lady's chambers including furniture, decorations and a decorated tiled oven, and an exhibition on the history of Zvenigorod and the monastery.

Palace of Tsar Alexis

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The Palace of Tsar Alexis was built in the 1650s and is now one of the best surviving examples of non-religious architecture of that era. It was built especially for Tsar Alexis who often visited the monastery on religious pilgrimages. Its most striking feature is its pretty row of nine chimney spouts which resemble towers.

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