Machine Learning at re.green: transforming the land acquisition and analysis process
The Machine Learning challenge arose due to the need to reduce the divergence found by re.green between manual and automatic analyses of the captured lands.
The Machine Learning challenge arose due to the need to reduce the divergence found by re.green between manual and automatic analyses of the captured lands.
Article reveals in detail the structuring process of the data architecture that enables the effective land monitoring by re.green.
Meet Mutünci, a spin-off of EloGroup dedicated to accelerating Diversity, Equity, and Inclusion initiatives, transforming cultural challenges into strategic and competitive opportunities.
The article highlights the importance of viewing data as digital assets capable of generating new revenue, reducing costs, optimizing internal processes, and providing solutions to third parties.
Learn how re.green, with support from EloGroup, made its operations more efficient, scalable, and accurate through a full-stack technology solution.
CV in Brazil 2024 brought together major corporations and innovative startups in São Paulo, aiming to connect within the entrepreneurial ecosystem.
Trends include the use of data, artificial intelligence, and technology to optimize operations and deliver a better user experience.
In its 7th edition, the 100 Startups to Watch (100 STW) award highlights the most promising companies in the fields of entrepreneurship, technology, and innovation across the main economic sectors in Brazil in 2024.
EloGroup’s partner Jaime Frenkel gives an overview of the current Venture Capital scenario in Brazil and cites opportunities in a period of slowdown.
This article explores insights into how to structure a DE&I area to boost the theme in organisations, including strengthening the engagement of other sectors.
