Mutt Data’s Achievement of the AWS Machine Learning Services Competency

👉 What is the AWS Machine Learning Services Competency?

👉 Machine Learning Explained: What It Is and Why It Matters

👉 Our Success Cases

👉 Mercado Libre

👉 Etermax

👉 Our expertise and the future moving forward

At Mutt Data, we proudly announce our achievement of the AWS Machine Learning Services Competency. This prestigious recognition highlights our expertise in delivering cutting-edge machine learning (ML) solutions.

This is yet another achievement that solidifies our commitment to innovation and excellence in helping businesses leverage Machine Learning to solve real-world problems.

Mutt Data has become the only AWS Partner in the SOLA region able to leverage both the Machine Learning Services Competency and the Advertising and Marketing Technology Competency.

What is AWS Machine Learning Competency?

The AWS Machine Learning Competency is awarded to partners with technical proficiency and demonstrated customer success in Machine Learning. The aspiring partner undergoes a rigorous validation process, ensuring they can design, build, and implement scalable Machine Learning solutions using AWS tools. Achieving this competency further reinforces Mutt Data’s ability to transform data into impactful business results.

During its history, Mutt has developed many machine-learning projects, but in this case we will highlight two. Keep reading to learn about those projects ‌and how we helped each of our clients implement our solution.

Machine Learning Explained: What It Is and Why It Matters

Machine learning (ML) is a subset of artificial intelligence where systems learn to recognize patterns and make decisions by analyzing large amounts of data, without being explicitly programmed for every task. Instead of following fixed rules, an ML model is trained by feeding it labeled data (e.g., images or text).

The system analyzes these examples to identify relationships, and it uses those insights to make predictions or decisions when it encounters new, unseen data. Over time, the model refines its accuracy as more data is introduced, improving performance.

For instance, ML can recommend products, recognize speech, or detect fraud by continuously learning from user behavior. While technical, this process mimics how humans learn from experience, evolving as it processes more data. Our Success Cases

Success Cases

Mercado Libre

MercadoLibre is the largest online commerce and payments ecosystem in Latin America. Through a suite of technology solutions including Mercado Pago, Mercado Ads, Mercado Envios and Mercado Crédito they enable customers in 18 countries to carry out their e-commerce offering solutions across the entire value chain.

Our collaborations with Mercado Libre using Machine Learning:

We developed a real-time bidding system for Mercado Libre, the largest e-commerce platform in Latin America, specifically for their Product Ads Team. The Product Ads Team (responsible for promoting items sold by Mercado Libre’s sellers) needed to develop an improved internal bidding system. This system optimized CTR and CVR predictions, leading to a 25% increase in advertising clicks, all while maintaining their organic Gross Merchandise Volume (GMV). AWS services such as Amazon EKS and Amazon RDS were integral to achieving these results

Etermax

Mutt Data helped Etermax, a leading gaming company especially known for its trivia games headed by the global hit Trivia Crack, improve their Demand Side Platform (DSP) by developing a machine learning-based bidding logic.

Etermax identified that their DSP required a performance improvement to generate substantial gains, rivaling the most established mobile DSPs. This solution optimized Win Rate, Click-Through Rate (CTR), and Conversion Rate (CVR) predictions, leading to a 40% decrease in Cost Per Click (CPC) without increasing their budget.

We also developed a new performance-based budget pacing mechanism. The tools used for the project included Vowpal Wabbit, Airflow, MLFlow, Amazon Athena, and AWS services such as Amazon EKS, Amazon Kinesis, and Amazon S3.

Our expertise and the future moving forward?

Mutt Data’s success in delivering ML solutions is rooted in our deep technical expertise and the strategic use of AWS tools. Achieving the AWS ML Competency is not just a milestone; it’s a stepping stone toward future innovation. We continue to push the boundaries of AI and ML to help businesses make smarter, data-driven decisions.

If you’re ready to harness the power of machine learning, contact us here and let us guide you on your journey toward data-driven success with AWS 😉.