NEW RESEARCH
By| Nov 21, 2024
Retrieval Augmented Generation (RAG) enhances large language models by combining language generation capabilities and real-time information retrieval.
By| Oct 23, 2024
MicroBatch (µBatch) Processing is a game-changing approach to data handling, set to transform how marketers interact with their data streams.
By| Oct 10, 2024
At first glance, Spark seems like a straightforward, cost-effective solution for data processing at scale. However, as with many things that seem too good to be true, there are hid...
By| Oct 7, 2024
The need for scalable, reliable data processing systems has never been greater. Many organizations turn to Apache Spark for its ability to process large datasets in a distributed f...
By| Sep 25, 2024
Learn about Aqfer's Row-Comunar Model for data storage. This hybrid approach enables efficient compression of data to cut costs, while still allowing for lightning-fast data retri...
By| Sep 24, 2024
The key to combating AI hallucinations lies in diversity – not just in data, but in the very models and algorithms we use.
By| Sep 13, 2024
In the realm of big data processing, the choice of tools and platforms can significantly impact both operational efficiency and financial outcomes. This article shares Aqfer's appr...
By| Sep 11, 2024
To maximize AI decisioning platforms, they need to be fed the right information. When paired with data warehouses for big data processing and knowledge graphs for contextual insigh...
By| Sep 4, 2024
AI has the potential to revolutionize how businesses interact with their customers and optimize their marketing spend. But this potential can only be fully realized with a strong f...
By| Aug 21, 2024
Reinforcement learning is a type of machine learning where an AI agent learns to make decisions by interacting with its environment. In the context of B2C marketing, this approach ...