Big Data is Overrated! Less is More!
The best way to get high performance Machine Learning models is to train on more data.
Or… is it really?
There is no question that Big Data helps in boosting a model’s performance. But make no mistake: the reality is that models get better when they are fed more valuable information, and adding more data in a random fashion is a very inefficient way to do that as not all data is created equal. Less is more!
Building a dataset that will truly enhance your model’s learning process is not only about gathering a sufficient quantity of high quality data; it’s also about ensuring that this data has value for your use case and will meaningfully impact training. Once you achieve this, your model will be capable of learning better, with a minimal amount of data, and hence faster and more cost-efficiently.
Why Less is More
MEANS LONGER TIME
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
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.
Data Preparation on Autopilot
Let’s face it: Data Preparation is the least favorite part of the job according to the majority of data scientists. That’s because finding corrupted or missing data, evaluating vendors to get it annotated or choosing the right augmentations is tedious and time-consuming, to say the least. Imagine being able to put the full process on autopilot and have a technology-driven process select the right records, and prepare those records at the push of a button: that’s what you’ll get with the Alectio Platform.
Data-Centric AI on Demand
A growing number of ML experts agree that Data-Centric AI (the focus on data tuning rather than model-tuning) is the future of ML. But like anything involving Machine Learning, Data-Centric AI requires sophisticated workflows – and they’re not easy to build! With the Alectio Platform, you can start powering up your applications with Data-Centric AI, in just a few clicks.
How Alectio Works
Alectio is a machine learning optimization platform, currently available as a software development kit (SDK).
In practice, Alectio is a wrapper around your model. As you train your model, Alectio “listens” to what your model likes and what data it needs to become more accurate.
It understands what data is actually useful to your algorithms and what data isn’t.
The result is that you save on data labeling and spend less time and money training your models, all without trading down in performance.
Learning from the Model’s “Body Language”When a person learns something new, they will react to the new information they are being exposed to, and it shows through their body language. The fact they yawn might be a sign they are bored because the content is too easy, or because it’s too complex. The fact they scratch their head usually indicates that they are trying to summon more brain power to understand. Each one of those signs taken in isolation might not mean much, but combined together, they can be used by a teacher to build a curriculum just right for the student. Similarly, when models learn, things “happen” to them, and those “vitals” can be captured and analyzed to build the perfect dataset – without ever needing to invasively access the data.
Support for any Use Case, any Data Type, any Framework
Our technology is designed to integrate seamlessly with any framework and any system. You can use it from your own computer, with any cloud provider and in conjunction with any Machine Learning platform. Because our algorithms are based on a Federated Meta Learning approach, it functions independently of the type of data and the type of model you are working with.
Read about Use Cases in your Industry (COMING SOON!)
Keep your Model and Data Private
The Alectio platform offers 3 privacy-preserving options to accommodate your preferences to let you connect your model to the platform. With each one of them, you remain the full owner of your model and are never required to give access to your model and your data. You are fully in control of the level of invasiveness of the process and choose what meta information you allow Alectio to access to curate your data.
START USING THE ALECTIO SDK
START USING ALECTIOLITE
START USING THE ALECTIO CLI
Understand your Model Better
In many industries, using a Deep Learning model represents a challenge because they are not explainable. The Alectio platform is a very unique explainability tool which allows data scientists to correlate specific information encoded in their models, and the specific records within the training data that this information originated from.
Our technology goes one step further compared to other ML Explainability framework because it helps understand the why rather than the how: where other would be able to tell you a loan was denied to a customer because of the zip code they live in, we are able to explain which records lead to the generalization that customers living in a specific area are more likely to default, giving you the tools to identify biases and act upon them. We’re making explainability insights actionable.
Learn how Alectio helps users fix biases.