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Earth Observation with Blossom Sky

The use of Blossom Sky enables a wide range of applications that can enhance decision-making across a wide range of organizations, such as understanding climate change, tracking the environment, reacting to natural disasters, monitoring global inventories and commodity production, and monitoring infrastructures.

Author:

Dr. Jorge Quiané

Democratizing neuronal networks to predict energy consumption

We recently releases LSTEnergy, a LSTM model which is able to predict future energy consumption based on historical data. We also released the dataset we used to train LSTEnergy.

Author:

Vatsal Sha

Distributed Data Processing Revolutionizes LLM, AI, ML and Analytics

Distributed data processing is a powerful tool for leveraging the potential of big data analytics, artificial intelligence (AI), machine learning (ML), LLM, and analytics. By leveraging distributed computing, businesses can process large amounts of data faster and more efficiently than ever before.

Author:

Alexander Alten

Tackling Data Management Head-On: The Story Behind Databloom AI

The founders of Databloom AI created the company to solve the problems that come with extensive, error-prone ETL and data movement, copy, cleaning, and re-platforming. They saw the need for a data management solution that actually tackles these problems instead of covering them up with more complex solutions.

Author:

Alexander Alten

Blossom Sky recognized as "Best of Value" and "Best of Use" at Gartner Digital Markets

Our Data Platform Integration as a Service (PIaaS) Blossom Sky has been recognized as one of the best tools in the Data Integration Software category 2022.

Author:

Alexander Alten