The only data curation and machine learning optimization platform you’ll ever need
While Big Data helped usher in widespread adoption of AI, it’s also responsible for its high price tag. After all, storing all that data is a real expense. Labeling it is onerous. Training models on those gigantic datasets is costly and time-consuming. And in business, “slow and expensive” is rarely a recipe for success.
Thankfully, the solution lies inside the Big Data you already have: it’s data curation. It’s Smart Data instead of Big Data.
Alectio’s platform uncovers this smart data. It’s like a wrapper that sits around your existing models and “listens” while it trains. It understands what data is actually helping your model—and what data is hurting it.
Why we created Alectio and how it works:
Big Data vs. Smart Data
The most pervasive misconception in data science is “the more data, the better.” This idea that getting more and more data will make models more accurate or that collecting more data can magically fix struggling models.
That’s simply not true.
The reality is that in any given training data set, only a fraction of it is generally useful. The rest is useless (redundant information, for example) or actively harmful (like data from faulty sensors or poorly labeled rows from your labeling provider).
Alectio is made to help you find the right data to train your models on. No matter what kind of data you’re working with, be it images, text, video, or audio, we can help. Alectio is data and model agnostic. In fact we don’t even need to see your data or your model.
In the world of machine learning, Goliath is Big Data. If you want to enlist your own David to fight back, we’re here to help.
Why less is more
Our latest blogs and resources:
Meet John. John is a machine learning scientist. He likes his cat and he loves his dogs. He has a wife and two kids and he cares about the environment. He rides his bike to work instead of driving...
You probably don’t need us to tell you this, but machine learning is expensive. Whether it’s data storage, data warehousing, rising compute costs, models that need retraining, hiring the best and...
If you work in machine learning, chances are you’ve had that moment at a party or a family dinner where someone asked you to explain some esoteric ML concept in a way your audience could understand....