Author: Gokulnath B

Feature Engineering for AI: Common Techniques, Practical Examples, and Real-World Tips

You’ve probably heard “garbage in, garbage out.” True, but incomplete. In AI, the real problem typically appears as follows: raw data is input, and average results are output. That gap between average and excellent is a result of AI feature engineering. It doesn’t get the spotlight. It doesn’t sound flashy. But feature engineering is often […]

Advanced Anomaly Detection and Validation in Curated Data: Statistical, ML, and Human-in-the-Loop Approaches

Picture this. You’re scanning thousands of data points. Everything looks fine. Clean. Almost too clean. Then there’s one number. Just one. Slightly off. Easy to miss. And powerful enough to trigger a bad business decision, a failed model, or a very expensive mistake. So how do you spot it before it causes damage? That’s where […]

Enriching Datasets With Third-Party APIs and External Sources: How It Works and What to Watch Out For

Let’s be honest for a second. Most customer databases are thin. A name. Maybe an email. Sometimes, a phone number, if you’re lucky. And that’s where things stop. No job role. No company size. No idea what tools they use. No clue what they care about or how close they are to making a purchase. […]

Converting Unstructured Text to Structured Datasets: Methods, Tools & Challenges

Suppose your organization is drowning in heaps of emails and support tickets, social media feedback, and PDF files containing information about customers. It is good information, but it is disseminated everywhere like puzzle pieces falling on the floor. Sound familiar? You’re not alone. According to recent research, about 80-90% of the data stored in an […]

Data Transformation in Education: Identifying At-Risk Students, Personalising Learning with Curated Datasets

One of the 10th graders is in the back of a math class. The lesson is progressing, but they are sneak previewing. The teacher picks up the indications, but he has 30 other students to attend to. There is another student 3 seats away who completes earlier than on schedule. Again. They’re not struggling. They’re […]

From Reactive to Revolutionary: How Smart Manufacturers Are Slashing Downtime by 50% with Predictive Maintenance

It’s 2 AM on a Sunday. You have lost your most important production line. There was no warning. No mercy. At this point, the phones are ringing, the technicians are scurrying, and you are placing orders for spare parts at overnight shipping costs, which make your eyes water. Each silent minute on that floor is […]

How Retail & E-Commerce Teams Can Use Data Curation to Personalise Experiences and Improve Recommendations

Remember that small neighborhood store you love? The one where the owner knows your name. Knows your taste. Sometimes even pulls something off the shelf and says, “This just came in. Thought of you.” That feeling sticks. Now, picture delivering that same experience online. To thousands. Or millions. Without sounding creepy or random. That’s the […]

The Invisible Shield: Is Your Bank Using AI to Stop Fraud Before It Happens?

Banking no longer has the luxury of fighting yesterday’s problems. Fraud isn’t just human anymore. It’s automated. Scripted. Learning as it goes. If you lead a financial institution, you’ve probably seen the numbers. Global fraud losses are climbing into the hundreds of billions of dollars. Every year, the curve gets steeper. The attackers get smarter. […]

The Messy Truth of Product Analytics: Why Data Curation Is Your Secret Weapon

Let’s be honest for a second. Your analytics dashboard probably looks like a digital junk drawer. Clicks. Scrolls. Sessions. Rage clicks. Heatmaps. Logs stacked on logs stacked on logs. Somewhere in there is the answer to “Why did users abandon checkout?” Good luck finding it. You’ve got data. You’ve got tools. You’ve even got dashboards […]

How to Turn Raw IoT Sensor Data Into High-Accuracy Predictive Models

Your factory floor is producing terabytes of sensor data every month. Temperature. Vibration. Pressure. Humidity. Everything is measured. Everything is logged. Everything is stored somewhere in the cloud. And yet, when that critical machine failed last Tuesday, no one saw it coming. That disconnect is painfully common. Most companies are swimming in IoT data. Very […]