Shelf Blog: Data Management

We’re convinced that absolutely every large company has a massive amount of data, but when it’s actually needed, no one can find it. CRM systems store customer history, ERP systems store financial transactions, document systems store contracts and regulations, and email contains agreements that...

Nearly 80% of corporate data is unstructured. It can be found anywhere: in documents, emails, support tickets, call transcripts, and so on. This data accumulates over time – one year, two years, five years, and so on. But now, enterprise AI promises to turn this massive amount of data into...

Once again, we’ll be exploring the topic of AI agents because more often we see phrases like “the AI agent isn’t working” or “the AI agent broke down”. Let’s be honest: most of the time, they break down or don’t work properly not because you chose a bad model, but because they’re running on...

We’re willing to bet that when you implement an AI agent, you expect it to speed up processes and lighten your employees’ workload. You watched sleek and impressive demos where the agent responded instantly and found the information you needed. But in reality, things turned out a little...

When it comes to managing data, unstructured data is the wild card. It’s messy, unpredictable, and doesn’t fit neatly into the boxes and grids we’ve relied on for years. Unlike structured data, which is easy to organize and analyze, unstructured data is chaotic. It’s not just that there’s more of...

Intro: The Rise of AI and Automation The rapid advancement of artificial intelligence (AI) technologies, particularly in the realm of generative AI, is ushering in a transformative era across various industries. As enterprises embrace these cutting-edge technologies and automate an increasing...