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Processing extensive sequences of linguistic data has been a significant hurdle, with traditional transformer models often buckling under the weight of computational and memory demands. This…
Enabling fast data development from big operational systemsPhoto by Benjamin Zanatta on UnsplashFor a data engineer building analytics from transactional systems such as ERP (enterprise resource…
Image by Editor In today’s data-driven world, SQL (Structured Query Language) stands as a cornerstone for managing and manipulating database systems. A core component of…
Image by DALLE 3 What a time to be alive. And what better time to learn about the elements of AI such as Generative AI,…
Image by Author SQL has become a must-have language for any data professional. Most of us use SQL in our daily work, and after writing…
Intercompany reconciliation is specific to companies with multiple subsidiaries under the same parent group. It’s a crucial step in the intercompany accounting process and for preparing…
Prompt EngineeringThe GroundingDino model encodes text prompts into a learned latent space. Altering the prompts can lead to different text features, which can affect the performance…
In an era where digital privacy has become paramount, the ability of artificial intelligence (AI) systems to forget specific data upon request is not just a…
Strategies for efficiently managing dimension changes and data restatement in enterprise data warehousingImagine this, you are a data engineer working for a large retail company that…
In the rapidly evolving data analysis landscape, the quest for robust time series forecasting models has taken a novel turn with the introduction of TIME-LLM, a…