Datastreams to Showcase Data Fabric-Based LLM Platform at DMTS Digital Media Tech Show 2025
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A new platform promising to deliver more reliable and accurate results from large language models is set to debut at a major tech exhibition.Datastreams, a specialist in intelligent data platforms, announced on November 5, 2025, that it will unveil its data fabric-based Large Language Model (LLM) platform at the ‘DMTS Digital Media Tech Show 2025’ in Goyang, South Korea, from november 5th to 7th.
Did you know? – The term “data fabric” refers to an architecture that integrates data from various sources, making it accessible and usable across an organization.This approach aims to improve data management and facilitate better decision-making.
Revolutionizing Workflows with AI and Data Integrity
The ‘DMTS Digital Media Tech Show’ serves as a key venue for showcasing Korea’s latest advancements in digital technologies, including artificial Intelligence (AI), extended reality (XR), the metaverse, and big data. The event attracts a diverse audience of startups, established corporations, investors, and potential buyers, fostering collaboration and driving innovation. Datastreams will be presenting its new platform under the theme of ‘AI & Data Fabric,Standing at the Center of Innovation.’
Addressing the Limitations of Current LLM Systems
Current LLM and Retrieval-Augmented Generation (RAG) systems frequently enough struggle with issues like “hallucination”-the generation of inaccurate or unfounded facts-and reliance on outdated or unreliable data sources.Datastreams’ platform aims to overcome these challenges through its innovative data fabric technology.The platform is designed to automate a range of repetitive tasks, including generating potential issues for government audits, comparing legal and regulatory documents, conducting document searches, summarizing educational materials, and automatically creating meeting minutes from voice recordings.
Pro tip: – When evaluating LLM platforms, consider the data sources used. Verify the platform’s ability to handle data quality, including accuracy, completeness, and consistency. This is crucial for reliable outputs, especially in sensitive applications.
According to a company release, the platform minimizes the risk of inaccurate responses by grounding its outputs in verified data. This is achieved through several key features:
- Metadata Management: Tracking the recency and origin of documents to ensure information reliability.
- Data Quality Diagnosis: Proactively identifying and preventing errors and sensitive information from impacting results.
- Data Virtualization: Integrating data from various distributed systems in real-time.
proven Accuracy in Specialized Domains
Datastreams is currently implementing its LLM technology for government agencies and has already demonstrated improved accuracy compared to equivalent open-source models. the company reports notably notable performance gains in specialized areas such as legal and regulatory research and policy document analysis.
Reader question: – How do you think data fabric technology will change the way organizations use AI? What are the biggest challenges in implementing this type of platform? Share your thoughts in the comments.
“Our platform, which combines data quality management and AI, will accelerate the introduction of trustworthy AI in the public and private sectors,” stated Lee Young-sang, CEO of Datastreams.
Building Trustworthy AI Infrastructure
At the DMTS exhibition, Datastreams will offer one-on-one technical consultations and Proof of Concept (PoC) assessments for organizations seeking to build AI infrastructure. Customized proposals will be available for those interested in implementing generative AI, integrating existing systems, and establishing robust data governance frameworks, particularly within public institutions and large enterprises.
The company’s approach underscore
