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Artificial intelligence

BERT: how Google began to understand language

BERT: how Google began to understand language

In 2018 Google introduced BERT, a language model that fundamentally changed the way machines read. Until then, systems processed words almost one at a time and from left to right, like someone spelling without grasping the full meaning. BERT changed the approach: it learned to look at the whole sentence at once, taking into account what comes before and after each word. That’s how it finally understood that “bank” doesn’t mean the same thing when we talk about money as when we talk about a river bank.

It may sound like a technical curiosity, but that leap is the direct origin of the search engines and chatbots that today seem to “understand” what we write to them. When you ask an assistant something in your own words and it answers with sense, you’re using ideas that started to mature with BERT. And the best part is that this ability to understand language is no longer exclusive to big tech companies: today a small business can lean on it to serve its customers better and organize its information.

What really changed with BERT

The underlying difference is simple to explain: before, machines identified words, now they understand context. That nuance changes everything when the goal is to serve real people, who write with spelling mistakes, abbreviations, and very local turns of phrase.

  • It understands intent, not just words. It grasps what the customer means even if they don’t use the exact terms of your catalog.
  • It interprets complete sentences. The meaning of each word adjusts according to the rest of the sentence, as a person would.
  • It recognizes synonyms and nuances. “Quote,” “price,” and “how much does it cost” all point to the same thing, and the system knows it.
  • It works in natural language. It doesn’t force anyone to talk to the machine with rigid commands.
Illustration of a sentence analyzed in context by a language model
From reading isolated words to understanding complete sentences: that was the leap BERT opened.

Why this matters to your small business

Understanding language isn’t an academic luxury: it’s the foundation of almost everything you want to automate today without losing closeness. Let’s think about the points where your business converses with people every day.

When a system truly understands what your customer is asking, you stop losing sales to misunderstandings.

With this technology well applied, a business can automatically classify the messages that arrive by WhatsApp or email, answer frequent questions without keeping anyone waiting, and find in seconds that document or quote that was buried among thousands. All of that translates into freed-up time for your team and decisions made with reliable information, not hunches.

Where to apply it first

You don’t need to reinvent the operation. The best results usually appear in concrete, repetitive tasks:

  • Customer support. An assistant that understands real questions and routes complex cases to a person.
  • Internal search. Finding products, files, or history by writing the way you talk, not with codes.
  • Message classification. Automatically organizing complaints, orders, and questions so nothing goes unanswered.
  • Comment analysis. Understanding what your customers think in reviews and surveys without reading them one by one.

The valuable thing about custom software is that these pieces connect with what you already have: it keeps your data, your processes, and your history, and adds language understanding on top, without forcing you to start from scratch.

How to take the first step

If the idea appeals to you, the best path is to start small and with clear goals:

  • Choose a single pain point. For example, the repeated WhatsApp questions or the search for old quotes.
  • Define what “winning” means. Less response time, fewer unanswered messages, more quotes found on the first try.
  • Start with a small pilot. One area or one channel, with real data, to see results in weeks and not months.
  • Protect your information. Make sure your data stays under your control and serves to improve your own business.
  • Scale with what works. Expand only when the pilot proves clear value.

BERT opened the door a few years ago; today understanding language is a tool within reach of any small business that wants to serve better and decide with more clarity. If you want to explore how to apply it to organize your messages and searches, at Normandia Web we design it with you, to fit your operation and with a pilot that delivers results soon.

Ready to put it to work in your company?

Tell us what’s costing you time, money or control. We’ll help you figure out where to start.

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