If your processes still run on spreadsheets and email, you're not digital. You're pretending. Digital transformation isn't measured by how many SaaS apps you've bought.

Few industries are as data-intensive or as high-stakes as the legal sector. Attorneys face overflowing volumes of case law, contracts, filings, emails, and regulatory updates. Yet 72% of legal professionals say finding the right information quickly is their biggest productivity challenge.

An LLM is like a genie. It's all about wishes. And asking an LLM to generate SQL is fraught with risk — according to arXiv, 37% of SQL generated by today's LLMs is wrong, and it gets worse when the LLM invents data to go with it.

Team SWIRL is excited to announce the release of SWIRL AI Search 4.3, Enterprise Edition, packed with new features to make enterprise search smarter, more connected, and more useful.

The myth is persistent: before you can build AI, you have to centralize your data. Here's what actually happens: you spin up a centralization project and six months pass while the AI roadmap hasn't moved.

You don't need to rebuild your information stack to use AI. You need to stop letting 'perfect infrastructure' become the enemy of getting value out of the data you already have.

It's been a rough time for vector databases. A wonderful, hot technology that's suddenly run into some headwinds. Or maybe a small hurricane would be more accurate.

SharePoint. Tableau. Snowflake. MongoDB. Salesforce. The list goes on. It doesn't really matter which applications your business uses — the problem is the same: finding the right data when you need it just takes too long.

Running a business today is like driving on a busy highway. You're moving fast, the environment is constantly shifting, and if your vision can't keep up, you're cruising for trouble.