Monitoring helmet usage in different scenarios leads to useful insights to take preventive actions, saving time and resources. Learn more about our joined project with Seeed using computer vision and video analytics solutions.

Detecting safety helmets in real-time

We discuss the issues many companies face in AI adoption and the outstanding results they get. Learn the fundamentals of becoming an AI organization.

Becoming an AI organization

The year 2021 brought fresh working dynamics that boosted our energy and design projections. This refreshed identity reflects a new brand and offering strategy for Tryolabs, focusing on our custom solutions and AI journey.

Tryolabs 2.0: Announcing our new look

Predicting Real Estate pricing it's getting more accurate with the incorporation of non-traditional data. Machine Learning can help to answer questions like when to sell or buy a property to maximize your profit.

Real Estate pricing with Machine Learning & non-traditional data sources

This AI Myths list sums up and compiles some common questions and concerns decision-makers and executives have when starting their AI journey. Let's demystify them.

The 7 big myths about AI in traditional businesses

The AI for finance journey has already started and has brought to the surface all sorts of opportunities in repetitive, time-consuming, manual tasks. From our office in Luxembourg, one of Europe's major financial centers, we are already working with some big players in the industry.

AI for finance: where are the opportunities for financial services?

We collaborated with Mike del Prete, a real estate strategist, to quantify and visualize the impact of coronavirus in U.S. real estate market. Business storytelling enhanced through data visualizations—even more so on uncertain scenarios

Enhancing business storytelling with data: COVID 19 impact on U.S. real estate markets

Enhancing business storytelling with data

Common strategies on how to do machinery maintenance, with a specific focus on predictive maintenance. Learn how machine learning algorithms play to improve on these solutions.

Predictive maintenance using Machine Learning

Why you should consider Machine Learning Systems in your marketing mix toolkit.

Machine Learning in your marketing mix strategy: taking the guesswork out

We showcase a typical process to develop demand forecasting, and price optimization capabilities with Machine Learning for a retail business, using as an example a public dataset from the Brazilian e-commerce Olist

Price optimization for e-commerce: a case study

Level-up your pricing strategy

An introduction to Price Optimization, its opportunities with Machine Learning, and how retailers can use automated pricing solutions to increase revenue.

How Machine Learning is reshaping Price Optimization

Inman Connect 2020 recap from the Machine Learning perspective: the actual real estate landscape, and future opportunities. Learn how iBuyers changed the real estate industry and how to use your available data.

Our AI & Machine Learning knowledge base

A blog dedicated to state-of-the-art technology, experiences, and random thoughts.

Detecting safety helmets in real-time

Becoming an AI organization

Tryolabs 2.0: Announcing our new look

Real Estate pricing with Machine Learning & non-traditional data sources

The 7 big myths about AI in traditional businesses

AI for finance: where are the opportunities for financial services?

Enhancing business storytelling with data

Predictive maintenance using Machine Learning

Machine Learning in your marketing mix strategy: taking the guesswork out

Price optimization for e-commerce: a case study

How Machine Learning is reshaping Price Optimization

Real estate and machine learning: takeaways from Inman Connect 2020

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