AI in Travel
AI-Powered Feature Engineering with n8n: Scaling Data Science Intelligence


Image by Author | ChatGPT
# Introduction
Feature engineering gets called the ‘art’ of data science for good reason — experienced data scientists develop this intuition for spotting meaningful features, but that knowledge is tough to share across teams. You’ll often see junior data scientists spending hours brainstorming potential features, while senior folks end up repeating the same analysis patterns across different projects.
Here’s the thing most data teams run into: feature engineering needs both domain expertise and statistical intuition, but the whole process remains pretty manual and inconsistent from project to project. A senior data scientist might immediately spot that market cap ratios could predict sector performance, while someone newer to the team might completely miss these obvious transformations.
What if you could use AI to generate strategic feature engineering recommendations instantly? This workflow tackles a real scaling problem: turning individual expertise into team-wide intelligence through automated analysis that suggests features based on statistical patterns, domain context, and business logic.
# The AI Advantage in Feature Engineering
Most automation focuses on efficiency — speeding up repetitive tasks and reducing manual work. But this workflow shows AI-augmented data science in action. Instead of replacing human expertise, it amplifies pattern recognition across different domains and experience levels.
Building on n8n’s visual workflow foundation, we’ll show you how to integrate LLMs for intelligent feature suggestions. While traditional automation handles repetitive tasks, AI integration tackles the creative parts of data science — generating hypotheses, identifying relationships, and suggesting domain-specific transformations.
Here’s where n8n really shines: you can connect different technologies smoothly. Combine data processing, AI analysis, and professional reporting without jumping between tools or managing complex infrastructure. Each workflow becomes a reusable intelligence pipeline that your whole team can run.
# The Solution: A 5-Node AI Analysis Pipeline
Our intelligent feature engineering workflow uses five connected nodes that transform datasets into strategic recommendations:
- Manual Trigger – Starts on-demand analysis for any dataset
- HTTP Request – Grabs data from public URLs or APIs
- Code Node – Runs comprehensive statistical analysis and pattern detection
- Basic LLM Chain + OpenAI – Generates contextual feature engineering strategies
- HTML Node – Creates professional reports with AI-generated insights
# Building the Workflow: Step-by-Step Implementation
// Prerequisites
// Step 1: Import and Configure the Template
- Download the workflow file
- Open n8n and click ‘Import from File’
- Select the downloaded JSON file — all five nodes appear automatically
- Save the workflow as ‘AI Feature Engineering Pipeline’
The imported template has sophisticated analysis logic and AI prompting strategies already set up for immediate use.
// Step 2: Configure OpenAI Integration
- Click the ‘OpenAI Chat Model’ node
- Create a new credential with your OpenAI API key
- Select ‘gpt-4.1-mini’ for optimal cost-performance balance
- Test the connection — you should see successful authentication
If you need some additional assistance with creating your first OpenAI API key, please refer to our step-by-step guide on OpenAI API for Beginners.
// Step 3: Customize for Your Dataset
- Click the HTTP Request node
- Replace the default URL with our S&P 500 dataset:
https://raw.githubusercontent.com/datasets/s-and-p-500-companies/master/data/constituents.csv
- Verify timeout settings (30 seconds or 30000 milliseconds handles most datasets)
The workflow automatically adapts to different CSV structures, column types, and data patterns without manual configuration.
// Step 4: Execute and Analyze Results
- Click ‘Execute Workflow’ in the toolbar
- Monitor node execution – each turns green when complete
- Click the HTML node and select the ‘HTML’ tab for your AI-generated report
- Review feature engineering recommendations and business rationale
What You’ll Get:
The AI analysis delivers surprisingly detailed and strategic recommendations. For our S&P 500 dataset, it identifies powerful feature combinations like company age buckets (startup, growth, mature, legacy) and sector-location interactions that reveal regionally dominant industries. The system suggests temporal patterns from listing dates, hierarchical encoding strategies for high-cardinality categories like GICS sub-industries, and cross-column relationships such as age-by-sector interactions that capture how company maturity affects performance differently across industries. You’ll receive specific implementation guidance for investment risk modeling, portfolio construction strategies, and market segmentation approaches – all grounded in solid statistical reasoning and business logic that goes well beyond generic feature suggestions.
# Technical Deep Dive: The Intelligence Engine
// Advanced Data Analysis (Code Node):
The workflow’s intelligence starts with comprehensive statistical analysis. The Code node examines data types, calculates distributions, identifies correlations, and detects patterns that inform AI recommendations.
Key capabilities include:
- Automatic column type detection (numeric, categorical, datetime)
- Missing value analysis and data quality assessment
- Correlation candidate identification for numeric features
- High-cardinality categorical detection for encoding strategies
- Potential ratio and interaction term suggestions
// AI Prompt Engineering (LLM Chain):
The LLM integration uses structured prompting to generate domain-aware recommendations. The prompt includes dataset statistics, column relationships, and business context to produce relevant suggestions.
The AI receives:
- Complete dataset structure and metadata
- Statistical summaries for each column
- Identified patterns and relationships
- Data quality indicators
// Professional Report Generation (HTML Node):
The final output transforms AI text into a professionally formatted report with proper styling, section organization, and visual hierarchy suitable for stakeholder sharing.
# Testing with Different Scenarios
// Finance Dataset (Current Example):
S&P 500 companies data generates recommendations focused on financial metrics, sector analysis, and market positioning features.
// Alternative Datasets to Try:
- Restaurant Tips Data: Generates customer behavior patterns, service quality indicators, and hospitality industry insights
- Airline Passengers Time Series: Suggests seasonal trends, growth forecasting features, and transportation industry analytics
- Car Crashes by State: Recommends risk assessment metrics, safety indices, and insurance industry optimization features
Each domain produces distinct feature suggestions that align with industry-specific analysis patterns and business objectives.
# Next Steps: Scaling AI-Assisted Data Science
// 1. Integration with Feature Stores
Connect the workflow output to feature stores like Feast or Tecton for automated feature pipeline creation and management.
// 2. Automated Feature Validation
Add nodes that automatically test suggested features against model performance to validate AI recommendations with empirical results.
// 3. Team Collaboration Features
Extend the workflow to include Slack notifications or email distribution, sharing AI insights across data science teams for collaborative feature development.
// 4. ML Pipeline Integration
Connect directly to training pipelines in platforms like Kubeflow or MLflow, automatically implementing high-value feature suggestions in production models.
# Conclusion
This AI-powered feature engineering workflow shows how n8n bridges cutting-edge AI capabilities with practical data science operations. By combining automated analysis, intelligent recommendations, and professional reporting, you can scale feature engineering expertise across your entire organization.
The workflow’s modular design makes it valuable for data teams working across different domains. You can adapt the analysis logic for specific industries, modify AI prompts for particular use cases, and customize reporting for different stakeholder groups—all within n8n’s visual interface.
Unlike standalone AI tools that provide generic suggestions, this approach understands your data context and business domain. The combination of statistical analysis and AI intelligence creates recommendations that are both technically sound and strategically relevant.
Most importantly, this workflow transforms feature engineering from an individual skill into an organizational capability. Junior data scientists gain access to senior-level insights, while experienced practitioners can focus on higher-level strategy and model architecture instead of repetitive feature brainstorming.
Born in India and raised in Japan, Vinod brings a global perspective to data science and machine learning education. He bridges the gap between emerging AI technologies and practical implementation for working professionals. Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering. He focuses on practical machine learning implementations and mentoring the next generation of data professionals through live sessions and personalized guidance.
AI in Travel
Ansett brand being relaunched to usher in an era of AI travel era

You might trust AI to quietly do your job, but would you trust it with your holiday – and would using a service named after a twice-bankrupt Australian airline help seal the deal?
Melbourne-based digital marketing strategist Constantine Frantzeskos believes it should. The entrepreneur is reviving the Ansett Australia brand – formerly Australia’s second-largest airline – as an AI-powered online travel agent called Ansett.Travel.
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AI in Travel
How the Galaxy AI Features on Galaxy Z Fold7 Redefine Wanderlust – Samsung Newsroom Malaysia

Buckle up! You’re flying to Seoul, South Korea, to watch your favorite K-pop group’s first full-squad comeback. Concert tickets? Secured. Flights? Booked. Bags? Packed. But before you start snapping that first airport selfie, you’ve got some planning to lock down.
Unfold Samsung Galaxy Z Fold7 — your ultimate travel companion with multimodal capability for smoother, and smarter travel.
As the thinnest and lightest Galaxy Z Fold series device yet, its pro-level cameras and AI features make it the ideal travel buddy. Translation: zero travel stress, max fandom vibes.
Before You Go: Unfold Your Travel Planner
You’re about to witness a once-in-a-lifetime reunion show, and it’s also your first time visiting Seoul. Relax. Galaxy Z Fold7 will handle the details.
Press and hold the side button to activate Gemini. Drop your concert date, hotel address and wish-list spots, then tell it:
“Recommend a 4-day, 3-night itinerary including a K-pop concert and save it to Samsung Notes.”
Gemini generates a custom itinerary, complete with must-visit fan cafés and your personal favorite’s trainee-era hangouts, fueling your ultimate K-pop pilgrimage.
“Should I pack this T-shirt or a hoodie?”
Don’t know what to pack? Let Gemini suggest for you. Activate camera sharing on Gemini Live to hold up your outfit options and just ask Gemini what works best to get real-time advice. It will consider Seoul’s weather and the kind of exploring you’ll be doing. No more overpacking so you’ll have more room in your luggage to bring home all that concert swag.
When the jet-set countdown starts, Now Brief has you covered. It shows your boarding pass details, Seoul’s current weather and real-time exchange rates front and center — so you can check what matters at a glance, before your trip.
Gate to Stage: AI Navigates Your Tour
You land at Incheon International Airport and the clock is ticking. So you ask:
“What’s the fastest and most affordable route to my hotel carrying two suitcases?”
In no time, Gemini displays side-by-side cards for airport express trains, buses and taxis, complete with fares, travel times and transfer counts all laid out.
Seoul Highlights, From Tradition to Modernity
After leaving your luggage at the hotel, day one kicks off at Bukchon Hanok Village, the perfect “Hello, Korea” setting for your vlog. Rest the Galaxy Z Fold7 on a ledge — Flex Mode lets you shoot easily, no tripod needed, while capturing the full Hanok backdrop.
But wait. Those unwanted photobombers in your pictures? Gone. Galaxy AI’s Photo Assist understands the whole scene, and Suggest Erases automatically detects and removes them with one tap. All done without post-editing hassle. Plus, with Side-by-Side Editing and Show Original, you can instantly compare the before-and-after images on the unfolded screen.
Next stop: K-beauty heaven. Aisles and aisles of products, but when you pick one up to read the label, it’s all in Korean. No worries. Camera sharing on Gemini Live can translate the ingredient labels listed in Korean, sprinkling in emojis for context to help you know what you’re buying. Still overwhelmed? Ask Gemini:
“Recommend one for sensitive skin.”
Gemini cross-checks the ingredients and suggests a top 3 recommendation list tailored to you. You can check out like a skincare pro, not a confused tourist.
Main Stage Moment: Your Favorite Idol Up Close
It’s finally the big day. Your lightstick is charged, your phone is fully juiced and the stadium is crowded with fans. You might be stuck in the nosebleeds, but Galaxy Z Fold7’s 200MP camera captures your personal favorite up close with crystal-clear detail. Moreover, thanks to the 10 MP 100° front camera, you can squeeze all your new friends into one frame and still grab the boys on stage too. When the arena goes dark, Nightography kicks in, turning a sea of flickering lightsticks into sharp, balanced footage you’ll replay on a loop after the encore.
Final Encore: Edit and Elevate
Say goodbye, Seoul — hello airborne edit bay. Plane rides are perfect for some creativity. With Galaxy Z Fold7’s expansive screen, editing your travel vlog is easier than ever. Use the upgraded Audio Eraser to reduce the sound of the crowd’s background noise so your favorite member’s vocals shine.
Z Fold7: The Perfect Travel Companion
Galaxy Z Fold7 isn’t just another travel gadget — it’s the backstage pass, stylist, translator, map and editing tool that elevates your creativity to the next level. It’s no longer the smartphone era; welcome to the age of the AI sidekick. Skip the endless search bars and just talk. Unfold your phone, and half your trip is already handled. So go ahead, live your best wanderlust life. GalaxyZ Fold7’s got your back from takeoff to touchdown.
Unfold your Galaxy Z Series devices with these promotions and rebates today!
Until 31st August 2025, purchase the latest Galaxy Z Series devices to enjoy launch rebates and promotions worth up to RM2,209![1]
Model | RAM + Memory | Colour | RRP | Rebates & Promotions |
Galaxy Z Fold7 | 12+256GB | Silver Shadow | RM 7,799 | · Double storage upgrade worth RM600
· Samsung Reservation+ Voucher worth RM210
· Samsung Care+ worth up to RM999
· CIMB Rebate worth RM400
· Enhanced Trade-In worth RM500 |
Blue Shadow | RM 7,799 | |||
Jetblack | RM 7,799 | |||
Mint (Online Exclusive) | RM 7,799 | |||
12+512GB | Silver Shadow | RM 8,399 | ||
Blue Shadow | RM 8,399 | |||
Jetblack | RM 8,399 | |||
Mint (Online Exclusive) | RM 8,399 | |||
16GB + 1TB | Blue Shadow | RM9,899 | ||
Jetblack | RM 9,899 | |||
Galaxy Z Flip7 | 12+256GB | Blue Shadow | RM 4,999 | |
Coral Red | RM 4,999 | |||
Jetblack | RM 4,999 | |||
Mint (Online Exclusive) | RM 4,999 | |||
12+512GB | Blue Shadow | RM 5,599 | ||
Coral Red | RM 5,599 | |||
Jetblack | RM 5,599 | |||
Mint (Online Exclusive) | RM 5,599 | |||
Galaxy Z Flip7 FE (Online Exclusive) | 8+128GB | Black | RM 3,999 | |
White | RM 3,999 | |||
8+256GB | Black | RM 4,299 | ||
White | RM 4,299 |
Grab the all new Galaxy Watch Series with these rebates as well to expand your Galaxy ecosystem:
Model | Connectivity | Colour | RRP | Rebates |
Galaxy Watch8 (44mm) | Bluetooth | Graphite | RM1,399 | · Fabric Band M/L worth RM159
OR
· Fabric Band S/M worth RM159 · Enhanced trade-in Rebate up to RM200 |
Silver | RM1,399 | |||
Bluetooth + LTE | Graphite | RM1,699 | ||
Silver | RM1,699 | |||
Galaxy Watch8 (40mm) | Bluetooth | Graphite | RM1,299 | |
Silver | RM1,299 | |||
Bluetooth + LTE | Graphite | RM1,599 | ||
Silver | RM1,599 | |||
Galaxy Watch8 Classic (46mm) | Bluetooth | Black | RM1,799 | · Sport Band M/L worth RM159
· Enhanced trade-in Rebate up to RM200 |
White | RM1,799 | |||
Bluetooth + LTE | Black | RM2,099 | ||
White | RM2,099 | |||
Galaxy Watch Ultra (2025) | Bluetooth + LTE | Titanium Blue | RM3,399 | · Trail Band worth RM399
· Galaxy SmartTag2 worth RM149 · 15W Power Adapter without Cable worth RM59 · 10,000mAh Battery Pack worth Rm159 · Enhanced Trade-in Rebate up to RM200 |
Titanium Gray | RM3,399 | |||
Titanium Silver | RM3,399 | |||
Titanium White | RM3,399 |
To purchase Samsung’s latest devices, please visit the following sites:
[1] Terms and conditions apply.
AI in Travel
Edo Govt Denies PDP’s N3.51bn Travel Claim as ‘AI Fabricatio

The Edo State Government and the state chapter of the Peoples Democratic Party Caretaker Committee on Sunday clashed over an alleged N3.51bn incurred by the government on travel expenses.
The PDP said it was outraged by the revelation that the Senator Monday Okpebholo-led administration “squandered the huge amount on travel in just the first half of 2025.”
The government, however, dismissed the claim as “AI-generated,” noting that since his assumption of office, Okpebholo had not embarked on any frivolous voyage.
It maintained that every kobo spent on official engagements, both local and international, was “strategically aimed at forging partnerships, attracting investments, and securing opportunities that will yield long-term benefits for Edo people.”
A statement on Sunday by the PDP Publicity Secretary, Chris Nehikhare, said, “The Peoples Democratic Party, Edo State chapter, is outraged by the disgraceful revelation that the Senator Monday Okpebholo-led administration squandered an alarming N3.51bn on travel in just the first half of 2025.
“This waste comes at a time when the National Bureau of Statistics (NBS) Capital Importation Report confirms that Edo State failed to attract a single kobo in foreign investment, while states like Lagos, Ogun, Oyo, Kaduna, Kano, and even Ekiti made the list.
“The contrast is both embarrassing and telling. Other states are opening their doors to capital, Edo’s leaders are opening their wallets for endless trips.
“This reckless expenditure is an insult to the good people of Edo State who continue to endure poor roads, inadequate healthcare facilities, decaying schools, delays in salary payments and epileptic power supply.”
Responding, the governor’s Chief Press Secretary, Fred Itua, in a statement, said, “The attention of the Edo State Government has been drawn to yet another baseless, ill-informed, and laughable press statement by the moribund Peoples Democratic Party in Edo State, signed by its ever-noisy but chronically uninformed, self-imposed mouthpiece, Chris Osa Nehikhare.
“It is ironic, if not downright insulting, that the PDP, a party whose years of misrule, monumental corruption, and gross incompetence left Edo State in ruins, now attempts to lecture the people on governance, accountability, and prudent spending.
“The same PDP that had every opportunity to transform Edo but instead chose to plunder its resources, destroy public trust, and mortgage the future of our people now pretends to be the conscience of the state. Edo people are neither fooled nor interested.”
The government dismissed the claims as false, adding that the governor had been forging alliances since assuming office to develop the state.
“Senator Monday Okpebholo’s administration is a government of action, purpose, and vision. The AI-generated claims by the moribund PDP are false.
“Since he assumed office, Governor Okpebholo has not embarked on any frivolous voyage.
“Every kobo spent on official engagements: local or international, is strategically aimed at forging partnerships, attracting investments, and securing opportunities that will yield long-term benefits for Edo people.”
The governor’s aide carpeted Nehikhare, adding that he was the least qualified to talk about accountability, prudence or governance.
“As for Nehikhare, he is the least qualified person in Edo State to talk about accountability, prudence, or governance.
“His political resume reads like a manual on failure: years spent defending corruption, whitewashing incompetence, and parroting lies to keep his stomach full while Edo people suffered.
“The PDP’s talk of ‘crumbling infrastructure’ is the height of hypocrisy. It was under their watch that Edo’s schools rotted, our roads collapsed, hospitals became death traps, and investments fled in droves,” the statement added.
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