Not all data is created equal
You can build better models with less data. We can show you how.
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
MORE DATA MEANS LONGER TIME TO MARKET
Data scientists spend up to 80% of their time preparing training data. More data means longer training times and reduced or delayed ROI.
DATA IS EXPENSIVE TO PREPARE AND PROCESS
Data processing isn’t cheap. Servers, data warehousing, and data labeling add up quickly. Relying on hardware-centric solutions just isn’t feasible long term.
BAD DATA IS THE ROOT CAUSE FOR MODEL UNDERPERFORMANCE
It doesn’t matter how good your models are if you’re training them on bad data. As datasets balloon in size, it’s often difficult to uncover what’s hurting performance.
Get Started For Free
You can download Alectio and start experimenting on your own by clicking the button below. If you’d like to get in touch to learn more, just email info@alectio.com or click the “Contact Us” button in our nav bar and we’ll get back to you.
Our latest blogs and resources:
How Active Learning Can Massively Reduce Aerial Imagery Labeling Costs
As we enter 2021, active learning is perhaps the least understood and most underutilized technique in machine learning today. Its promise is simple and elegant: to reduce the overall records you use to train models without trading off accuracy. It’s an iterative,...
How Alectio Helped Voyage Dramatically Increase Their Performance and Development Speed with Active Learning
This article was written in collaboration with Voyage The field of computer vision reached a tipping point when the size and quality of available datasets finally met the needs of theoretical machine learning algorithms. The release of ImageNet, a fully-labeled...
Did Google Just Admit They Can’t Make AI Sustainable?
Perhaps you already know the story of Timnit Gebru, the high profile ethics researcher who was just forced out at Google, but if not, let’s level-set before we get started. Gebru is likely most famous for a paper she wrote while at IBM that highlighted the gender and...