Abstract: Deep learning-based recommender systems are widely utilised in domains such as e-commerce. Yet there are limited studies that explore recommendation systems for expert and speciality needs ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

The final, formatted version of the article will be published soon. Background and objective. Structured clinical data is essential for research and informed decision-making, yet medical reports are ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

A production-ready Python system for processing large volumes of PDF documents, extracting structured business data, validating extracted fields, and exporting clean datasets to JSON and Excel formats ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

Jesse Todd, CEO of EncompaaS, is a SaaS expert specializing in information management and risk mitigation for Fortune 500 companies. AI has the potential to transform how organizations operate, but ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...