Tag: personalization

  • 10 Emerging Marketing Careers Driven by AI and Digital Transformation

    10 Emerging Marketing Careers Driven by AI and Digital Transformation

    Artificial intelligence, creator platforms, retail media, and personalized marketing have created new career opportunities. Explore 10 marketing jobs that emerged recently and the business trends driving their growing demand.

    Key Takeaways:

    • Artificial intelligence has created several new marketing career paths.
    • Creator marketing and retail media have expanded hiring across industries.
    • Future marketing roles require both technology knowledge and creative thinking.

    AI, creator platforms, and shifting consumer habits have reshaped how companies market themselves. Several marketing roles that barely existed five years ago are now actively being hired for. Today, companies across different industries actively hire professionals for these positions.

    Recent reports show that AI-related jobs now exist far beyond the technology sector, and marketing stands out as one of the fastest-growing fields for these new roles. Traditional marketing skills alone are no longer enough. Employers want people who understand AI tools, data, creator partnerships, and digital platforms.

    AI Prompt Strategist

    One of the newest jobs in marketing is the AI Prompt Strategist. Five years ago, very few companies looked for someone with this title. Today, many brands depend on AI tools to create blog posts, advertisements, emails, product descriptions, and social media content. An AI Prompt Strategist writes detailed instructions, called prompts, that help AI produce useful and accurate content. This professional also checks whether the content matches the company’s style and business goals. As more companies add AI to their daily work, demand for people with this skill continues to rise.

    AI Marketing Automation Specialist

    The role of the AI Marketing Automation Specialist focuses on using artificial intelligence systems to automate marketing tasks with minimal human intervention. Organizations want faster results with fewer personnel, making specialists who understand how to combine AI with CRM programs and marketing tools in high demand.

    Generative AI Content Editor

    Artificial intelligence can create content within seconds, but it does not always produce perfect results. This need has created the role of the Generative AI Content Editor. This professional reviews AI-created articles, advertisements, website copy, and social media posts before publication. The editor checks facts, corrects mistakes, improves readability, and ensures the content matches the company’s voice. Many brands rely on these editors to protect trust and maintain quality as AI creates larger amounts of content every day.

    Creator Partnership Manager

    Influencer marketing has evolved into a key component of digital marketing. As a result, many businesses now hire Creator Partnership Managers to oversee relationships with content creators. This job involves searching for the right creators, negotiating campaign details, and assessing results. Businesses now pay less attention to sheer numbers of followers and instead seek creators with strong community support and trust. Creator partnership management has become a highly respected marketing profession that emerged only in recent years.

    Community Growth Manager

    Many businesses now believe loyal communities bring more value than social media followers alone. This idea has created the role of Community Growth Manager. These professionals build active communities on platforms such as Discord, Reddit, Slack, and private groups. Their main goal is to encourage conversations, answer questions, and help customers feel connected to a brand. Strong communities often create loyal customers who recommend products to others through personal experiences.

    Customer Experience Personalization Manager

    Today’s customers expect businesses to understand their preferences and interests. This has led to higher demand for Customer Experience Personalization Managers. These professionals use customer data together with AI tools to create personalized sites, emails, recommendations, and online shopping processes. Rather than showing the same content to all customers, companies provide information tailored to each individual. Improved personalization results in enhanced customer satisfaction and improved business performance.

    Marketing AI Trainer

    Many organizations now employ Marketing AI Trainers to improve internal AI systems. These professionals teach AI models through company data, prepare prompt libraries, and develop better workflows for marketing teams. Instead of simply using AI software, businesses want experts who can improve its performance over time.

    Conversational Marketing Designer

    Customer conversations now happen through websites, mobile apps, messaging services, and voice assistants. This change has created the role of Conversational Marketing Designer. These professionals design chatbot conversations that guide customers through questions, product searches, and purchase decisions. A well-designed conversation can improve customer satisfaction and increase sales. As AI-powered customer support becomes more common, demand for these specialists continues to rise.

    Retail Media Marketing Specialist

    The way businesses advertise products has changed, led by online shopping. Many businesses now advertise on online retail platforms such as Walmart and Amazon. As a result, Retail Media Marketing Specialists have entered the labor market. These professionals oversee ad campaigns within online marketplaces while utilizing first-party consumer data to improve product visibility. The growth of retail media is a result of companies looking for new ways to reach clients as third-party cookies fade away.

    Generative Engine Optimization (GEO) Specialist

    Search engines have also changed. AI now answers many questions directly instead of simply showing website links. Given this shift, businesses have started hiring Generative Engine Optimization (GEO) Specialists. These professionals optimize content so AI-powered search platforms can understand and recommend it. Instead of focusing only on traditional search engine rankings, GEO specialists help brands appear inside AI-generated answers. As conversational search becomes more popular, this role will likely become even more important.

    The Future Looks Very Different

    A combination of multiple forces has resulted in the establishment of the new professions described above. AI has never been more popular, marketing automation technology has developed rapidly, creator-branded marketing campaigns are widespread, first-party customer data is widely used, and retail media advertising is popular. AI-powered search engines are changing how people find information online, and personalization has entered marketing vocabulary. It is clear that technology drives the process of forming new hiring demands. Five years ago, the majority of titles mentioned above did not exist or existed in limited numbers. Today, those occupations belong to one of the fastest-developing fields. In the future, the emergence of even more specific marketing jobs seems highly probable.

    FAQs

    1. Why have new marketing jobs appeared in recent years? Artificial intelligence, automation, creator platforms, and changing customer expectations have created new business needs.
    2. Which marketing job has grown the fastest? AI-focused roles such as AI Prompt Strategist and AI Marketing Automation Specialist have seen rapid growth.
    3. What is Generative Engine Optimization (GEO)? It focuses on optimizing content so AI-powered search tools include it in generated answers.
    4. Are traditional marketing jobs disappearing? Many traditional roles still exist, but employers now expect professionals to work with AI tools and data-driven strategies.
    5. Which skills matter most for future marketing careers? AI knowledge, creativity, data analysis, personalization, communication, and strategic thinking have become highly valuable.
  • AI and FinTech Are Transforming Banking: Personalization, Speed, and Proactive Support

    AI and FinTech Are Transforming Banking: Personalization, Speed, and Proactive Support

    From Transactions to Relationship Management

    Traditional banking operated on a transaction model: customers visited branches, filled out paperwork, and received products. Today, the focus has shifted to relationship management. Financial institutions and FinTechs leverage data on earnings, spending, savings, and financial goals to deliver personalized solutions that adapt to each customer’s life stage.

    Personalization for Everyday Life

    Data analytics enables banks to uncover patterns in spending habits, income cycles, and financial plans. This leads to:

    • Personalized credit card offers based on actual spending behavior
    • Savings plans aligned with monthly cash flow
    • Investment options tailored to risk tolerance and time horizons

    Customers no longer face a fixed list of products; they receive advice that feels relevant to their unique situation.

    Support That Works When You Need It

    Customer support has evolved dramatically. Chatbots and virtual assistants handle routine tasks—checking balances, recent transactions, blocking cards, or resetting passwords—around the clock. For complex issues, the system collects details and transfers them to a human agent who has full context, enabling faster resolutions.

    Payments That Are Fast and Secure

    AI and FinTech have upgraded payment and money transfer systems. Biometric authentication (face scan, voice check, fingerprint) makes access simple and secure. Fraud detection systems analyze each transaction in real time, blocking risky moves while minimizing false alarms. FinTech platforms embed payments into daily activities—online shopping, travel bookings, ride apps, and food orders—making banking seamless.

    Banking That Helps You Stay on Track

    Modern banking is proactive. Systems can:

    • Warn about unusual spending or potential overspending
    • Suggest budget adjustments or better loan terms based on cash flow
    • Offer insurance or savings ideas when life changes occur (new job, marriage, child, home purchase)

    Banks are transitioning from account holders to financial partners that guide customers through different life stages.

    The Role of FinTech and Neobanks

    FinTech companies and neobanks have accelerated innovation in user experience, speed, and transparency. Key features include:

    • Account opening in minutes with minimal documentation
    • Real-time updates, intuitive interfaces, and easy controls
    • Payment-splitting services, quick loans, and transparent pricing

    Open Banking and Customer Control

    Open Banking regulations and APIs allow FinTechs to access consumer data (with consent) and provide deeper analysis. Benefits include:

    • Aggregating accounts from multiple banks in one place
    • Comparing loans, credit cards, and savings across institutions
    • Easy account or loan transfers

    Customers now have greater control and visibility, enabling them to choose better options and switch services when needed.

    What Banking Will Look Like Next

    In the coming years, banking will become highly predictive and automated. Systems will anticipate customer goals and actions, managing cash, savings, credit, and investments with minimal human intervention. Tasks like refinancing or adjusting investment strategies may happen automatically. Expect faster onboarding, personalized advice in local languages, and banking features integrated into shopping, UPI, and travel apps.

    Conclusion

    Artificial Intelligence and FinTech are transforming banking from a product-oriented industry to a customer-centric one. The future promises speed, personalization, and proactive support, delivering a smoother, more efficient experience for all customers.

  • Marriott International’s Digital Transformation: AI, Cloud, and New Systems Reshape Hospitality

    Marriott International’s Digital Transformation: AI, Cloud, and New Systems Reshape Hospitality

    Booking a hotel room has changed dramatically in recent years. Today’s travelers expect to book in minutes, check in via smartphone, unlock doors with digital keys, and receive assistance without waiting in long queues. Meeting these expectations is a formidable challenge for a company operating thousands of hotels worldwide. Marriott International, serving millions of guests annually, has been quietly rebuilding its technology infrastructure from the ground up to keep pace with evolving travel habits.

    Rather than making incremental updates, Marriott is replacing legacy systems that have been in use for years. Simultaneously, the company is embedding artificial intelligence (AI) across various business areas and migrating more services to the cloud. While most guests may not notice these changes day-to-day, Marriott expects these initiatives to significantly streamline booking, check-in, customer support, and hotel operations.

    A Measured and Practical AI Journey

    While many companies rushed to adopt AI as soon as it gained popularity, Marriott took a more cautious approach. The company chose to test the technology first and expand its use only after seeing real-world results. To facilitate this, Marriott established its own AI Studio in 2023. Small teams began experimenting with different ideas to identify where AI could deliver tangible benefits—some focused on supporting employees directly, while others aimed to enhance the guest experience.

    Personalization is a key goal for Marriott. Every traveler is unique—some travel for business, others with family. AI enables Marriott to better interpret these preferences and recommend hotels or services that genuinely match each guest’s needs, rather than offering generic options. The company is also leveraging AI to improve its website and mobile app, making it easier for guests to find the right hotel by understanding their search queries more clearly.

    Employees also benefit from these changes. Hotel staff can access guest information more quickly, reducing time spent navigating multiple systems and allowing them to assist guests promptly. Marriott has also emphasized that good AI depends on good data. If the underlying information is incomplete or outdated, AI cannot deliver useful results. This is why the company has invested considerable effort in improving its data quality before expanding AI across the business.

    Importantly, Marriott has made it clear that AI is not intended to replace hotel workers. Hospitality remains fundamentally about people. Technology simply helps employees perform their jobs more efficiently.

    New Systems for a Future-Ready Business

    While AI garners much attention, Marriott’s most significant changes are happening behind the scenes. The company is replacing three of its oldest systems: the hotel management platform, reservation system, and Marriott Bonvoy loyalty program. These systems have supported the business for years but now require faster and more flexible technology.

    Marriott is also moving more of its operations to the cloud. Instead of relying on older computer systems, cloud technology enables faster deployment of changes and upgrades. It also helps the company handle millions of reservations and customer requests without performance degradation. Another major goal is to connect different systems so they can work together seamlessly. Today, guest information, reservations, loyalty rewards, and hotel services need to share data quickly to create a smooth experience from booking to checkout.

    Marriott is taking a practical approach to AI, deploying it only where it solves a real problem. This helps avoid unnecessary costs while improving daily operations. The company is also preparing for what experts call an “Agentic Mesh”—a concept where multiple AI assistants work together. One could help guests make bookings, another could support hotel employees, and a third could manage loyalty rewards or answer customer questions. These AI systems would share information while handling different tasks. Although Marriott is not fully using this model today, its new cloud systems are being built to support these technologies as they become more common.

    Why This Matters

    Marriott’s technology upgrades could have a ripple effect across the hospitality industry. With better AI, faster cloud systems, and connected platforms, hotels may see improved guest experiences, fewer delays, and greater modernization in how they serve customers. Travel is changing, and hotels must change with it. Guests now expect fast service, simple booking, and personalized experiences every time they travel.

    Marriott understands that good technology is now as important as comfortable rooms and friendly staff. The company’s approach is notable because it didn’t rush into every new trend; instead, it focused on building a solid foundation first. AI is being added step by step, while employees remain central to the guest experience. As more hotels adopt AI and cloud technology, Marriott’s early investments could give it a strong competitive advantage and help shape the future of hospitality technology.

  • How Context-Aware Technology Is Revolutionizing Smart Devices Across Industries

    How Context-Aware Technology Is Revolutionizing Smart Devices Across Industries

    Context-aware technology is reshaping the way smart devices interact with users by learning from their habits, location, and daily routines. Instead of waiting for explicit commands, these devices can anticipate needs and deliver personalized experiences. From suggesting workout playlists to automatically adjusting home settings, context-aware systems make everyday interactions more natural, convenient, and tailored to individual preferences.

    Smarter Personalization

    Context-aware technology enables devices to understand user behavior and environmental cues. This allows for predictive actions, such as adjusting lighting when a movie starts or recommending music based on activity. The result is a seamless, intuitive user experience that feels less like technology and more like a helpful companion.

    Better Voice Assistants

    Modern voice assistants are becoming more intelligent by understanding context rather than just processing words. They recognize previous conversations, user preferences, and situational nuances to deliver more accurate responses. This reduces misunderstandings and makes interactions with smart speakers, smartphones, and home assistants faster and more reliable.

    Smarter Homes

    Context-aware systems enhance smart homes by enabling devices to react to changing conditions. Lights dim automatically during a movie, thermostats adjust based on room occupancy, and security cameras detect unusual activity. These intelligent responses create safer, more comfortable, and energy-efficient living spaces for families.

    Improved Health Monitoring

    Wearable devices leverage context-aware technology to provide deeper health insights. Smartwatches track activity, sleep, heart rate, and location together to offer meaningful recommendations. Instead of just collecting data, these devices identify patterns and alert users to unusual changes, empowering informed health decisions.

    Safer Connected Cars

    Modern vehicles use context-aware systems to boost safety and convenience. By analyzing road conditions, driver behavior, traffic, and weather, cars can issue timely warnings or adjust functions automatically. These features reduce distractions, support safer driving, and enhance the overall driving experience.

    More Efficient Workplaces

    Businesses are adopting context-aware technology to improve productivity. Smart office systems adjust lighting, meeting rooms, and climate based on occupancy and schedules. Employees receive relevant notifications at the right time, helping to minimize distractions and streamline everyday tasks.

    The Future of Intelligent Devices

    As artificial intelligence and connectivity advance, context-aware systems will become even more capable. Future smart devices will better understand environments, routines, and user intentions without constant input. This evolution will create seamless digital experiences that save time, boost efficiency, and simplify life across homes and workplaces.

  • How Artificial Intelligence Is Transforming Online Search: 7 Key Trends

    How Artificial Intelligence Is Transforming Online Search: 7 Key Trends

    Artificial intelligence is fundamentally reshaping how people find information online. Instead of typing short keywords, users now engage in natural conversations, search with images, and receive personalized, AI-generated answers. Here are seven major ways AI is changing online search.

    1. Conversational Search

    Users now ask complete questions instead of typing fragmented keywords. AI-powered search engines understand context, deliver direct answers, and engage in follow-up conversations. This reduces the need to open multiple websites, making information discovery faster and more natural for everyday users.

    2. Personalized Results

    AI analyzes search history, preferences, location, and behavior to deliver more relevant results. This personalization improves user experience by surfacing content that matches individual interests, helping people find useful information, products, or services with greater speed and accuracy than traditional search methods.

    3. Visual Search

    Users can now search using images instead of text. AI recognizes objects, products, landmarks, and even plants through computer vision, allowing shoppers, travelers, and students to instantly identify and learn about what they see using smartphones or other connected devices.

    4. Voice Search Growth

    AI-powered voice assistants have made spoken searches increasingly common. People can ask questions naturally while driving, cooking, or multitasking, with AI interpreting intent, understanding accents, and delivering accurate responses that feel more like conversations than traditional keyword-based searches.

    5. Generative AI Answers

    Search platforms increasingly generate summaries instead of simply listing links. AI combines information from multiple sources into concise responses, helping users understand topics quickly while changing how publishers, businesses, and content creators approach search engine optimization and online visibility.

    6. Smarter Shopping Searches

    AI simplifies online shopping by comparing products, summarizing reviews, recommending alternatives, and answering detailed buying questions. Consumers spend less time researching and more time making informed purchasing decisions based on personalized recommendations and real-time product information.

    7. Search Beyond Text

    AI is expanding search across videos, audio, documents, and multimedia content. Advanced models understand context within different formats, enabling users to find precise moments in videos, relevant podcast discussions, or specific document sections without manually browsing extensive content.

  • How AI Is Transforming Search: Will Traditional Search Engines Survive?

    How AI Is Transforming Search: Will Traditional Search Engines Survive?

    The rise of conversational AI and personalized search assistants is reshaping how we discover information online. While traditional search engines have long been the gatekeepers of the web, artificial intelligence is introducing new ways to get answers faster, more intuitively, and with less clicking. But will AI replace search engines entirely? The likely answer is a hybrid future where both coexist.

    Conversational AI Search

    AI-powered search tools can answer questions in natural language, reducing the need to browse multiple links for straightforward information. This makes finding quick insights much more efficient.

    Personalized Search Results

    By analyzing user preferences, context, and past interactions, AI tailors responses to deliver a more relevant and personalized search experience. This level of adaptation was impossible with traditional keyword-based engines.

    Instant Information Summaries

    AI can combine data from multiple sources into concise summaries, helping users understand complex topics without reading several webpages. This saves time and makes research more accessible.

    The Value of Traditional Search Engines

    Despite AI’s advantages, traditional search engines still provide diverse sources, official websites, and multiple viewpoints that are essential for in-depth research and fact verification. They remain a cornerstone of reliable information retrieval.

    AI-Powered Search Assistants

    Intelligent assistants can refine questions, suggest follow-up queries, and guide users through complex searches with conversational flexibility, making them powerful tools for discovery.

    Challenges: Accuracy and Hallucination Risks

    AI may occasionally generate incorrect or misleading answers, so source verification remains crucial for critical decisions and factual research tasks. Users must remain vigilant.

    Impact on Website Traffic

    AI-generated answers could reduce direct visits to websites, forcing publishers to rethink content strategies and audience engagement methods. This shift may encourage more interactive and value-driven content.

    A Hybrid Search Experience

    Future search platforms will likely combine AI-generated responses with traditional search results, offering both quick answers and reliable source exploration. This hybrid model promises the best of both worlds.

    The Future of Search

    AI is undeniably transforming information discovery, but search engines will evolve alongside AI rather than disappear completely. The next decade will bring a more intelligent, personalized, and efficient search ecosystem.

  • How Data-Driven Gifting is Reshaping Corporate Culture and Employee Engagement

    How Data-Driven Gifting is Reshaping Corporate Culture and Employee Engagement

    Giving company gifts used to be just another chore to cross off the to-do list—a branded mug, a basket of snacks, a seasonal parcel that reached the desk, then faded into the background. That old model is giving way to something sharper and far more human. Data-driven gifting uses employee preferences, customer behavior, timing cues, and AI-assisted recommendations to make each gesture feel considered instead of random, and that shift is changing how people experience work itself. Forbes Business Council framed this as a move toward smarter, scalable gifting with stronger ROI, while the same evolution is also described as a response to the long-standing problem of personalization at scale.

    The cultural effect is bigger than the gift table. Once a company starts using data to decide who gets recognized, when that recognition lands, and what feels relevant, gifting stops being decorative. It becomes part of the employee experience, customer relationship, and the tone a company sets for itself. Deloitte’s 2025 Human Capital Trends research found that 67% of leaders say customizing work and workforce experiences around people’s skills, motivations, and styles matters, which tells you the corporate world is already moving toward more personal treatment in general. Gifting is simply one of the most visible places where that shift shows up.

    Why Personalization is Essential in Corporate Gifting

    Generic gifts are easy to send, but they rarely feel earned. Traditional programs often run into three problems at once: they stay generic, fail to scale cleanly, and miss recipient preferences because companies are guessing instead of using signals. Personalized gifts can deepen client relationships, lift employee engagement, and improve brand loyalty. That logic is hard to ignore, especially now that companies have more data than ever from HR systems, CRM platforms, survey tools, and purchase histories.

    How AI is Changing the Gifting Workflow

    The most useful thing AI does here is not novelty—it reduces the guesswork. According to McKinsey, generative AI can create and scale highly relevant messages with bespoke tone, imagery, copy, and experiences at high volume and speed. In gifting, that means companies can match the message, the packaging, and the product more closely to the person receiving it, instead of relying on a standard template with a logo stamped on top. Modern gifting platforms like Gifteo are now following data and automation to create more relevant recipient experiences. Smart systems pull together details on who the recipient is, what they’ve bought before, and current market shifts. They use all that to shape solid gift ideas and move customization along faster than any manual process could.

    What Data Can Tell a Gifting Team

    In practice, data-driven gifting usually draws from a few places. HR systems can capture tenure and milestone dates. Surveys can surface dietary needs, hobbies, or preferred categories. Purchase and engagement data can reveal what people respond to over time. Those signals help a company decide whether a person would value a desk item, a wellness kit, a premium experience, or a more practical work upgrade.

    This is also where the culture piece becomes visible. A company that uses data well sends a message that people are seen as individuals. That message can be stronger than the value of the item itself. Gallup’s workplace research says employees who receive high-quality recognition are 45% less likely to have turned over after two years, and employees who strongly agree their organization encourages recognition are five times as likely to be connected to company culture and four times as likely to be engaged.

    Why Corporate Culture is Changing Around Recognition

    The modern office, whether it is hybrid, remote, or split across time zones, runs on fewer shared rituals than it used to. That means recognition has to do more work. Gallup reported in 2025 that U.S. engagement had edged up only one point in the second quarter, while the cost of disengagement was estimated at about $2 trillion in lost productivity. That backdrop makes any credible recognition strategy more valuable, especially one that feels specific and timely rather than generic and routine.

    Data-driven gifting fits this moment because it helps companies rebuild connection without pretending the workplace still looks like it did ten years ago. Deloitte’s 2025 research on employee personalization notes leaders recognize the need for more customized experiences, yet many struggle to make it real. Gifting gives organizations a visible place to practice that idea. It is easier to see a package, a note, an experience, or a tailored reward than it is to see a strategy deck.

    The Trust Problem Companies Cannot Skip

    There is a catch, and it is a serious one. The more data a company uses, the more careful it must be. Adobe’s 2025 digital report states 88% of consumers expect responsible handling of personal information, yet only 49% of organizations meet that expectation, and just 14% deliver experiences that truly delight. In other words, personalization can easily cross the line into awkwardness if privacy, consent, and relevance are handled carelessly.

    From Objects to Experiences

    The trend is moving beyond physical objects as well. Experiential gifting is becoming more durable because hybrid work, digital fatigue, and sustainability pressure have changed what people value. The same budget can create very different outcomes depending on whether it buys a forgettable object or a memory people keep talking about. That idea fits the broader corporate culture story. The smartest gifting is no longer about filling a shelf—rather, it is about creating a moment that sticks.

    That is also why the market feels different now. Gifting is increasingly tied to onboarding, recognition, client retention, and team rituals instead of sitting off to the side as a seasonal expense. A modern gifting platform has to think more like an experience designer than a merch seller.

  • How EaseMyTrip’s AI Assistant Is Evolving into a Travel Companion: CEO Rikant Pittie Shares Insights

    How EaseMyTrip’s AI Assistant Is Evolving into a Travel Companion: CEO Rikant Pittie Shares Insights

    Artificial intelligence is reshaping how travelers discover destinations, book trips, and seek customer support. As conversational AI becomes more intuitive, consumers are moving away from keyword-based searches and traditional support channels, expecting faster, more contextual, and personalized assistance throughout their travel journey.

    EaseMyTrip has witnessed this shift firsthand through its AI-powered assistant, EVA, which has handled over 2.5 million interactions across WhatsApp and the company’s web chatbot. The growing adoption highlights increasing consumer trust in AI for everything from travel discovery and bookings to itinerary changes and post-booking support.

    Rikant Pittie, CEO and Co-Founder of EaseMyTrip, believes the next phase of AI will move beyond answering questions to becoming an intelligent travel companion that understands user preferences, intent, and context, while working alongside human support teams.

    What EVA’s 2.5 Million AI-Led Interactions Reveal

    According to Pittie, the biggest insight from EVA’s interactions is that Indian consumers have moved beyond experimenting with AI and are increasingly relying on it to accomplish real travel-related tasks. Whether discovering flight and hotel options, clarifying booking details, understanding cancellation policies, accessing offers, or resolving service-related queries, customers are turning to AI for speed, convenience, and accuracy.

    Users are demonstrating outcome-driven trust: they care less about whether they interact with a human or an AI system and more about receiving the right answer quickly and reliably. Travelers are increasingly asking complete questions rather than typing fragmented keywords, signaling that they view AI as a travel companion that simplifies planning and decision-making.

    Why Conversational AI Outpaces Traditional Search

    Conversational AI accelerates the customer journey by helping users find information faster and complete tasks more efficiently. Human interaction remains critical for situations requiring empathy, nuanced decision-making, or complex problem-solving. Pittie emphasizes that the real value lies in reducing friction and enhancing existing customer journeys, positioning AI as an extension of human support rather than a replacement.

    Building Domain-Specific AI Assistants: Challenges and Lessons

    Pittie notes that deploying a large language model does not automatically create a successful customer-facing AI assistant. Building a domain-specific solution requires deep understanding of customer journeys, business rules, operational processes, and countless edge cases. For EVA, the real challenge is ensuring the assistant understands travel-specific contexts and responds accurately to a wide range of needs—from discovery and bookings to cancellations and post-booking support.

    Success depends on high-quality data, continuous model refinement, robust guardrails, and strong integration with existing systems. Customer expectations evolve rapidly, so AI systems must continuously improve to remain relevant.

    Improving Engagement, Efficiency, and Resolution Speed

    The most successful organizations approach AI as an augmentation layer. At EaseMyTrip, EVA is embedded into existing customer journeys to make travel discovery and support faster, simpler, and more intuitive. By helping customers find relevant information, access travel options, understand offers, and resolve common queries quickly, AI reduces friction while allowing service teams to focus on complex cases.

    Deep integration with real travel use cases and customer touchpoints enables a more contextual and meaningful experience. Early indicators point toward stronger engagement, faster query resolution, and growing acceptance of AI-led travel assistance.

    The Next Evolution: Proactive, Voice-Enabled, and Multilingual AI

    Pittie envisions the next evolution not as a better chatbot but as a more intelligent travel assistant that understands context, preferences, and intent across the entire customer journey. Travelers expect seamless, connected experiences where they do not have to repeat information at every step—whether planning, booking, or seeking support.

    Through EVA and ChatGPT integration, EaseMyTrip enables customers to receive faster, more contextual assistance for routine requests, while support teams continue handling complex situations that require human judgment, empathy, and personalized intervention. Multilingual interactions, voice-enabled assistance, smarter recommendations, and contextual support will help create more intuitive travel experiences by complementing—not replacing—human expertise.

  • Meta Tests New Instagram Controls for Personalized Algorithm Recommendations

    Meta Tests New Instagram Controls for Personalized Algorithm Recommendations

    Instagram is rolling out expanded algorithm controls that give users more say over the content recommendations they receive. The feature, part of Meta’s ‘Your Algorithm’ initiative, allows users to adjust the interests, creators, and themes that shape their feeds.

    Adam Mosseri, head of Instagram, announced that the company is testing broader application of these controls beyond Reels and Explore, which were the original test grounds. Users can now edit topics they like, choose to see more from specific influencers, or filter by content type, mood, and interests—such as travel videos or fitness images—to fine-tune their experience.

    This update leverages large language models (LLMs) to categorize posts by theme, making it easier for users to modify preferences without dealing with complex algorithms. Mosseri emphasized that the goal is to empower users to control their Instagram experience, moving beyond past reliance on viewing habits.

    The move reflects a broader social media trend toward transparency and user control over algorithmic feeds, as companies face growing scrutiny over curated content. Instagram has not yet announced a global launch date, but user-driven recommendations are expected to become a key feature.