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Ansett Australia revived as AI-powered travel platform two decades after carrier’s collapse

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The Ansett name “is back”, but not as Australians will remember the former airline.

Ansett Australia was once the country’s second-largest carrier but collapsed into administration after suffering financial troubles in 2001.

Its final flight was recorded early the following year.

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Now, more than 20 years later, the brand is being revived not as an airline but as an AI-powered holiday booking platform called Ansett Travel.

Melbourne-based entrepreneur Constantine Frantzeskos said it was designed to be a “hyper-personalised” travel agent that suggests trips and itineraries based on your preferences, calendar events and budgets.

“I didn’t just acquire a lapsed trademark and domain, I resurrected trust embedded deep in collective memory,” Frantzeskos said on Monday.

“The original Ansett served Australians beautifully for 65 years before collapsing in 2002, leaving a void in reliability and brand warmth.

“I believe that legacy still matters, and that it’s deserving of being reimagined for modern travellers.

“Ansett Travel isn’t about replicating the past, it’s about re‑engineering it through AI as the core, not as an afterthought.”

What Ansett Travel will offer

Frantzeskos has previously worked with Emirates, Dubai Tourism and Visit Victoria, and this time partnered with Victorian travel start-up Travlr.

He said the new platform is “like the Costco of travel”.

It is open to everyone “but if you want the really good stuff” — flights, hotels and holidays at near-wholesale prices — you will need to join Ansett VIP, he said.

An Ansett VIP membership is $99 a year.

The Ansett brand has been revived as an AI-first travel platform. Credit: Ansett Travel

Not all AI features are up and running but Frantzeskos said plans for things like auto-generated itineraries, pre-trip alerts, and personalised loyalty experiences are on the cards.

“Today’s travel platforms are reactive,” he said.

“You search, compare, click. Ansett seeks to flip that model.

“It’s designed to anticipate when users need a break – school holidays, anniversaries, executive downtime, great weather for a weekend away – and offer options before you even think to ask.

“It’s not replacing human agents; it’s doing what scale, data and logic do best – with finesse, not friction.”

The website is already live and offering travel deals for destinations including Las Vegas, Bali, Tokyo and Athens.

Before its collapse, Ansett reportedly flew about 10 million passengers annually.

More than 16,000 jobs were lost as a result of the company’s downfall.



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AI Revolutionizes Travel: How Emerging Technologies Are Enhancing the Experience for Travelers in the UAE, Saudi Arabia, and Beyond

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Tuesday, July 29, 2025

In recent years, artificial intelligence (AI) has gradually embedded itself into the fabric of daily life, becoming an indispensable tool in various industries, including travel. While AI’s capabilities are still developing, it is making its mark on the travel and tourism industry by simplifying travel decisions, enhancing experiences, and giving travelers an entirely new way to plan and enjoy their holidays. The rise of AI-driven tools has changed the way travel advisors, airlines, and hospitality providers assist clients, making it easier than ever for travelers to curate their dream trips in an increasingly digital world.

According to research conducted by Marriott Bonvoy, a staggering 52% of travelers in the UAE and 50% in Saudi Arabia have already used AI to plan or research their vacations. These figures are expected to grow significantly, with 77% of travelers in both countries likely to turn to AI in the future for their travel needs. This data underscores the growing reliance on AI in the region and signals a broader trend where travelers from around the world are becoming more comfortable with using AI to make their travel plans more efficient and tailored to their needs. The integration of AI into travel planning is no longer a far-fetched idea but a reality shaping the future of travel.

The growing importance of AI in the travel industry is clear. From helping travelers decide where to go next to providing real-time suggestions for activities, AI tools are taking on a much larger role in shaping the way vacations are planned and experienced. Travel platforms, such as Skyscanner, Booking.com, and even local hotel brands, have all incorporated AI tools to help travelers with everything from booking flights to suggesting destinations and even providing personalized recommendations based on individual preferences.

AI-Powered Travel Planning: The Future of Road Trips, Dining, and Destinations

The role of AI in travel has become particularly notable when it comes to planning road trips, selecting restaurants, and curating lists of must-visit attractions. Travelers can now use AI-driven platforms to make decisions based on a combination of their preferences, previous travel histories, and recommendations from similar users. AI tools that assist in road trip planning, such as route optimization and suggested stops along the way, help travelers make the most of their journeys without the stress of researching every single detail.

For example, many travelers now turn to AI tools to suggest the best routes for their road trips, whether they’re looking for the most scenic drive, the quickest path, or a route that includes the best food stops along the way. These AI-driven systems not only simplify the planning process but also ensure that travelers have a more enriching experience. Similarly, when it comes to choosing what to order at a restaurant, AI tools can suggest dishes based on travelers’ past preferences and dietary needs. Whether it’s recommending a particular dish at a popular local spot or helping someone find a vegetarian or gluten-free option, AI is helping travelers navigate the often overwhelming choices in dining.

When it comes to choosing destinations, AI is a game-changer. Rather than spending hours scrolling through lists of potential vacation spots or trying to narrow down options from dozens of conflicting travel reviews, AI-driven systems can quickly suggest personalized destinations based on factors such as weather, local events, and personal interests. This is especially helpful for those travelers who may not have a specific destination in mind but are looking for inspiration or an off-the-beaten-path experience.

AI in the Travel Industry: The Changing Landscape for Travel Advisors and Businesses

The introduction of AI into the travel industry has not only benefited consumers but also has had a transformative impact on travel advisors and businesses. Travel professionals now have the opportunity to use AI to streamline their workflows and offer personalized experiences for their clients. AI can assist travel advisors in generating customized itineraries, managing bookings, and handling customer service tasks more efficiently. For instance, AI tools help travel advisors track flights, monitor delays, and even suggest alternate routes or accommodations based on real-time data. This allows travel advisors to focus on more high-touch aspects of the job, such as providing personalized recommendations and building strong client relationships.

Generative AI, in particular, has emerged as a powerful tool for travel businesses to offer bespoke recommendations to travelers. As businesses continue to integrate AI into their operations, the technology can create itineraries based on past preferences, analyze global trends, and even predict micro-seasonal shifts. By using this type of AI, travel companies can provide customers with tailor-made experiences that feel both personalized and curated to their specific needs.

At the same time, AI can assist in reducing the overwhelm that many travelers face when presented with a long list of options. In the past, travelers may have spent hours sifting through reviews, websites, and recommendations. AI removes this burden by analyzing the vast amounts of travel data available and curating personalized recommendations. Whether it’s suggesting the best flight routes, hotels, or local activities, AI simplifies the decision-making process, allowing customers to focus on enjoying their trips rather than being bogged down by endless research.

The Role of AI in the Hospitality Industry: Enhancing Customer Service

In the hospitality industry, AI is starting to be integrated into customer service operations, offering new ways to enhance the guest experience. While personalized service remains at the heart of what makes a great hotel stay, AI tools are being used creatively to refine these interactions. Many hotels are now using guest intelligence platforms to track dining preferences, manage room bookings, and offer personalized communication across a guest’s stay. For example, at Shangri-La Bengaluru, AI is employed to optimize guest personalization, offering insights into dining preferences and guest feedback, thus enhancing the overall service.

Shangri-La Bengaluru utilizes guest intelligence platforms like SevenRooms and TotalEngage to offer automated bookings, anticipate preferences, and send personalized communication. This enables the hotel to make informed decisions about the guest experience without compromising the personal touch that is so critical to the hospitality industry. While AI-powered services like these help enhance customer service, they do not replace the human connection, but rather refine it, making every guest interaction more meaningful and tailored.

The use of AI also extends to concierge services, where AI-powered chatbots are offering real-time assistance to guests 24/7. These virtual concierges can answer questions, make recommendations, and provide guests with essential information around the clock, allowing the hotel staff to focus on more complex tasks that require human attention. However, despite these advancements, AI systems in the hospitality industry face challenges, particularly with regard to data privacy. The handling of sensitive guest information is a key concern, and it is crucial that hotels maintain transparency and ensure that AI systems are secure and used ethically.

AI’s Growing Influence in the Luxury Travel Sector

Luxury travel brands are also beginning to explore the role of AI in offering bespoke services to their high-end clientele. At Go2Africa, an award-winning safari travel company, AI has been seen as a tool that complements the human touch rather than replacing it. As AI tools become more integrated into luxury travel, it is understood that they can help streamline processes and enhance the overall customer experience, but they cannot replace the intuition, empathy, and local expertise of seasoned guides and specialists.

In the luxury travel sector, AI-driven tools are used to anticipate guests’ needs based on past travel preferences and provide personalized recommendations that align with their tastes. These tools are designed to help streamline booking processes and ensure that travelers experience seamless and unforgettable journeys. However, the personal connection that travelers seek during luxury experiences remains a priority, and AI is seen as an enabler to enhance that connection, not to replace it.

AI tools can help travelers by providing real-time travel updates, managing itineraries, and even making personalized suggestions on the fly. For example, AI-powered video messages can help maintain a connection with clients even when face-to-face interactions aren’t possible, keeping the human touch alive in digital communication. These AI-generated videos are designed to be thoughtful and personalized, offering travelers a sense of connection even when they are not physically present with their travel advisors or hotel staff.

AI as a Travel Agent’s New Best Friend

As AI becomes a more integral part of the travel industry, it is increasingly being used by travel agencies to offer personalized services and more efficient operations. OneLatitude, a luxury travel agency specializing in tailor-made holidays, uses AI to analyze trends, preferences, and even micro-seasonal data to generate itineraries. This allows agents to focus more on the creative aspects of designing trips and less on the logistical work of crafting itineraries from scratch.

Despite its advantages, AI still faces challenges when it comes to complex multi-day trip planning. While AI can process vast amounts of data, turning that data into a fully realized travel experience that aligns with individual preferences requires a nuanced approach. AI can be immensely helpful in the back-end work, but the human touch is still needed to ensure the trip’s overall success. However, even in its early stages, AI is proving valuable by assisting in repetitive tasks, ensuring consistency across itineraries, and providing helpful prompts for the creation of trip outlines.

AI as a Tool for Better Travel Decisions

As AI continues to evolve, its applications in the travel industry are becoming more sophisticated. One of the most exciting aspects of AI is its ability to assist travelers in making decisions, whether it’s for booking flights, selecting destinations, or finding the best local attractions. Platforms like Booking.com have been utilizing AI and machine learning for years to make travel planning easier and more personalized. The AI Trip Planner tool, powered by OpenAI’s ChatGPT API, is one example of how AI is enhancing the travel experience. The tool helps users create curated itineraries and offers real-time support, making the travel planning process more efficient and tailored to individual preferences.

AI-driven travel tools, such as Skyscanner’s “Everywhere” search, help travelers discover new destinations and uncover hidden gems they might not have considered. The AI algorithms take into account various factors, including personal travel history, current trends, and even local events to suggest exciting new places to visit.

The Future of AI in Travel: A Symbiosis of Technology and Humanity

As the travel industry continues to integrate AI into its operations, it is clear that the future will see a symbiotic relationship between technology and human expertise. AI is becoming an indispensable tool in helping travelers plan and enjoy their trips more efficiently. While AI-powered systems can help streamline tasks like booking, itinerary creation, and destination recommendations, they cannot replace the human connection that is so integral to the travel experience.

Instead, AI is positioning itself as an invaluable support system, working in the background to enhance service, offer personalized suggestions, and ensure that travelers have the best possible experience. As AI continues to evolve, its role in the travel industry will only grow, and its ability to help travel agents, hospitality providers, and travelers alike will continue to shape the future of travel.

Conclusion: AI Is Here to Stay, but It Will Never Replace the Human Touch

AI’s growing role in the travel industry is reshaping how trips are planned, experienced, and enjoyed. Whether it’s providing personalized recommendations, streamlining bookings, or assisting with real-time updates, AI is making travel easier, smarter, and more tailored to individual preferences. However, as evidenced by the continued importance of human expertise in sectors like luxury travel and safari guiding, AI is not intended to replace the personal touch. Instead, it serves as a valuable tool that enhances and refines the travel experience, allowing both travelers and industry professionals to make more informed decisions and create unforgettable journeys.

The future of travel will undoubtedly be shaped by advancements in AI, but the human connection will remain at the heart of the travel industry. AI will continue to complement the work of travel agents, hospitality staff, and tour guides, enhancing the personalized service that travelers have come to expect. As technology and humanity continue to work hand in hand, the travel experience will become more seamless, enjoyable, and accessible for everyone involved.



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‘Trusted name’: Iconic airline makes comeback after more than 20 years – as an AI-powered travel agency

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By Alexandra Feiam

news.com.au·

2 mins to read



The Ansett brand is making a comeback – this time as an AI-powered travel agency. Photo / news.com.au

More than 20 years after closing its doors, Ansett is back – this time, as an AI-powered travel agency.

Ansett Airlines – later Ansett Australia – served as the country’s second-largest airline since 1936 before it was placed into voluntary administration and ceased operations in 2002, resulting in a loss



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Top Skills Data Scientists Should Learn in 2025

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Top Skills Data Scientists Should Learn in 2025
Image by Author | Canva

 

Introduction

 
I understand that with the pace at which data science is growing, it’s getting harder for data scientists to keep up with all the new technologies, demands, and trends. If you think that knowing Python and machine learning will get the job done for you in 2025, then I’m sorry to break it to you but it won’t.

 

To have a good chance in this competitive market, you will have to go beyond the basic skills.

 

I’m not only referring to tech skills but also the soft skills and business understanding. You might have come across such articles before, but trust me this is not a clickbait article. I HAVE actually done research to highlight those areas which are often overlooked. Please note that these recommendations are purely based on industry trends, research papers, and insights I gathered from talking to a few experts. So, let’s get started.

 

Technical Skills

 

// 1. Graph Analytics

Graph analytics is super underrated but so useful. It helps you understand relationships in data by turning them into nodes and edges. Fraud detection, recommendation systems, social networks, or anywhere things are connected, graphs can be applied. Most traditional machine learning models struggle with relational data, but graph techniques make it easier to catch patterns and outliers. Companies like PayPal use it to identify fraudulent transactions by analyzing relationships between accounts. Tools like Neo4j, NetworkX, and Apache AGE can help you visualize and work with this kind of data. If you’re serious about going deeper into areas like finance, cybersecurity, and e-commerce, this is one skill that’ll make you stand out.

 

// 2. Edge AI Implementation

Edge AI is basically about running machine learning models directly on devices without relying on cloud servers. It’s super relevant now that everything from watches to tractors is getting smart. Why does this matter? It means faster processing, more privacy, and less dependency on internet speed. For example, in manufacturing, sensors on machines can predict failures before they happen. John Deere uses it to detect crop diseases in real-time. In healthcare, wearables process data instantly without needing a cloud server. If you’re interested in Edge AI, look into TensorFlow Lite, ONNX Runtime, and protocols like MQTT and CoAP. Also, think about Raspberry Pi and low-power optimization. According to Fortune Business Insights,Edge AI market will grow from USD 27.01 billion in 2024 to USD 269.82 billion by 2032 so yeah, it’s not just hype.

 

// 3. Algorithm Interpretability

Let’s be real, building a powerful model is cool, but if you can’t explain how it works? Not that cool anymore. Especially in high-stakes industries like healthcare or finance, where explainability is a must. Tools like SHAP and LIME help break down decisions from complex models. For example, in healthcare, interpretability can highlight why an AI system flagged a patient as high-risk, which is critical for both ethical AI use and regulatory compliance. And sometimes it’s better to build something inherently interpretable like decision trees or rule-based systems. As Cynthia Rudin, an AI researcher at Duke University, puts it: “Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.” In short, if your model affects real people, interpretability isn’t optional, it’s essential.

 

// 4. Data Privacy, Ethics, and Security

This stuff isn’t just for legal teams anymore. Data scientists need to understand it too. One wrong move with sensitive data can lead to lawsuits or fines. With privacy laws like CCPA and GDPR, it’s now expected that you know about techniques like differential privacy, homomorphic encryption, and federated learning. Ethical AI is also getting serious attention. In fact, 78% of surveyed consumers believe companies must commit to ethical AI standards, and 75% say trust in a company’s data practices directly influences their purchasing decisions. Tools like IBM’s Fairness 360 can help you test bias in datasets and models. TL;DR: If you’re building anything that uses personal data, you better know how to protect it, and explain how you’re doing that.

 

// 5. AutoML

AutoML tools are becoming a solid asset for any data scientist. They automate tasks like model selection, training, and hyperparameter tuning, so you can focus more on the actual problem, rather than getting lost in repetitive tasks. Tools like H2O.ai, DataRobot, and Google AutoML help speed things up a lot. But don’t get it twisted, AutoML isn’t about replacing you, it’s about boosting your workflow. AutoML is a copilot, not the pilot. You still need the brains and context, but this can handle the grunt work.

 

Soft Skills

 

// 1. Environmental Awareness

This might surprise some, but AI has a carbon footprint. Training massive models takes up crazy amounts of energy and water. As a data scientist, you have a role in making tech more sustainable. Whether it’s optimizing code, choosing efficient models, or working on green AI projects, this is a space where tech meets purpose. Microsoft’s “Planetary Computer” is a great example of using AI for environmental good. As MIT Technology Review puts it: “AI’s carbon footprint is a wake-up call for data scientists.” In 2025, being a responsible data scientist includes thinking about your environmental impact as well.

 

// 2. Conflict Resolution

Data projects often involve a mix of people: engineers, product folks, business heads, and trust me, not everyone will agree all the time. That’s where conflict resolution comes in. Being able to handle disagreements without stalling progress is a big deal. It ensures that the team stays focused and moves forward as a unified group. Teams that can resolve conflicts efficiently are simply more productive. Agile thinking, empathy, and being solution-oriented are huge here.

 

// 3. Presentation Skills

You could build the most accurate model in the world, but if you can’t explain it clearly, it’s not going anywhere. Presentation skills especially explaining complex ideas in simple terms are what separate the great data scientists from the rest. Whether you’re talking to a CEO or a product manager, how you communicate your insights matters. In 2025, this isn’t just a “nice to have”, it’s a core part of the job.

 

Industry-Specific Skills

 

// 1. Domain Knowledge

Understanding your industry is key. You don’t need to be a finance expert or a doctor, but you do need to get the basics of how things work. This helps you ask better questions and build models that actually solve problems. For example, in healthcare, knowing about medical terminology and regulations like HIPAA makes a huge difference in building trustworthy models. In retail, customer behavior and inventory cycles matter. Basically, domain knowledge connects your technical skills to real-world impact.

 

// 2. Regulatory Compliance Knowledge

Let’s face it, data science is no longer a free-for-all. With GDPR, HIPAA, and now the EU’s AI Act, compliance is becoming a core skill. If you want your project to go live and stay live, you need to understand how to build with these regulations in mind. A lot of AI projects are delayed or blocked just because no one thought about compliance from the start. With 80% of AI projects in finance facing compliance delays, knowing how to make your systems auditable and regulation-friendly gives you a serious edge.

 

Wrapping Up

 
This was my breakdown based on the research I’ve been doing lately. If you’ve got more skills in mind or insights to add, I’d honestly love to hear them. Drop them in the comments below. Let’s learn from each other.
 
 

Kanwal Mehreen is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. She co-authored the ebook “Maximizing Productivity with ChatGPT”. As a Google Generation Scholar 2022 for APAC, she champions diversity and academic excellence. She’s also recognized as a Teradata Diversity in Tech Scholar, Mitacs Globalink Research Scholar, and Harvard WeCode Scholar. Kanwal is an ardent advocate for change, having founded FEMCodes to empower women in STEM fields.



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