1. The "Data Trash" Problem: AI models are only as good as the information they ingest. For most enterprises today, data is ...

It’s no surprise to anyone who works with data—it’s messy. In every industry and every business, there are data anomalies and issues that can impact the story data tells. If we have any hope of ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

Every few years, the agricultural technology sector gets a new silver bullet. In 2013, the narrative was big data transforming farm management — Monsanto's $1.1 billion acquisition of The Climate ...

We have self-driving cars. We have AI that can write poetry. We have rovers searching for life on Mars. Yet, ask a marketer about the state of their database in 2026, and you’ll likely hear a sigh of ...

Cybersecurity principles are simple, says Databricks' Field CISO. The hard part is doing them at scale across thousands of users and hundreds of applications. The company thinks its data platform – ...

So many retail challenges hinge on unreliable product data. Can agentic AI clean up that data enough to make a difference? Can it do the same for other verticals? Every vertical has its own unique ...

This one simple shift is changing how companies turn data into decisions—and why most leaders are still missing it. Why the biggest barriers to using data aren’t technical. The mindset that separates ...

In the retail business, big data is poised in the coming years to open up huge opportunities in the way stores (both physical and online) fundamentally operate and serve customers. Given the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Why does the supply chain that served you so well yesterday seem designed to end your company today? Don’t be surprised; that’s how nature works. Yesterday’s design is optimized for yesterday.