Mobile data provides the eyes and ears of a modern business. It helps us understand where our audience is, what they want to know and what they respond to most enthusiastically. And it can make our apps run faster, too. In a world of ever-increasing consumer choice, this kind of stuff doesn’t just matter. It’s crucial. However, while mobile data can lead to new ideas, it can also be very dangerous if not used properly.

AI success demands more than data access; it requires governance, strategy and collaboration across the enterprise.

The e-commerce landscape is passionately competitive. Today is a prime example as consumers rush to secure the perfect Valentine’s Day gift before it's slim pickings on the chocolates and the sad looking roses! How do you meet the demand and keep those last minute bouquet hunters happy?

Managing product content with spreadsheets? That’s costing you sales. Here’s how a PIM can change the game. Many manufacturers and distributors struggle with outdated, manual processes to manage product information across e-commerce channels. These inefficiencies lead to errors, slow updates, and lost sales opportunities. One e-commerce content specialist shared a case study that underscores the urgent need for a better system.

Automation has helped countless businesses enjoy improved scalability, accuracy, and efficiency. However, traditional automation is known for its complexity. Setting up automation workflows often requires extensive coding knowledge, advanced technical skills, and a deep understanding of underlying systems. This makes it challenging for non-technical users to independently implement and maintain automation solutions.

Learn how Fivetran’s GenAI-Ready Data Model & Snowflake Cortex can accelerate your AI initiatives.

“Which MRR metric should I be looking at?” “What’s the best dashboard to track our sales performance?” “Where can I find our marketing goals?” Sound familiar? As we spoke with our customers to learn more about how they collaborate around data, we kept hearing the same challenges – growth creates a need for better data management. What starts as a few key dashboards and metrics quickly becomes hundreds, spread across different teams, projects, and platforms.

As real-time data processing becomes a cornerstone of modern applications, the ability to integrate machine learning model inference with Apache Flink offers developers a powerful tool for on-demand predictions in areas like fraud detection, customer personalization, predictive maintenance, and customer support. Flink enables developers to connect real-time data streams to external machine learning models through remote inference, where models are hosted on dedicated model servers and accessed via APIs.

In today’s data-driven world, the ability to turn raw data into actionable insights is no longer a nice to have—it’s a necessity to power exemplary citizen service. Singapore’s Smart Nation initiative is built on the idea that data, when utilized effectively, can transform public services and improve lives.