The China International Big Data IndustryExpo 2026 (Big Data Expo 2026) will take place in Guiyang from August 28 to 30.This year's expo will focus on the theme “Token — A New Path for Unlocking theValue of Data Elements” and cover five key areas: computing infrastructure,data supply, model-driven innovation, security safeguards, and intelligentexperiences. As one of the exhibitors, Glodom will be at Booth W2F11 at theGuiyang International Conference and Exhibition Center, where it will showcaseAI data service solutions as well as multilingual and industry-specific dataproducts.
As large language models, intelligentspeech, and multimodal applications continue to move into real-world use,businesses are gradually shifting their focus from simply pursuing data volumeto paying greater attention to data quality, suitability for specificscenarios, domain expertise, and compliance.
For model training and intelligentapplications, data needs to be not only sufficiently rich but also well matchedto specific tasks and application environments. Collecting, processing,annotating, and validating data, and then organizing it into datasets suitablefor model training and business applications, has become an ongoing challengein the implementation of AI applications.
As a technology-driven provider of languagetechnology solutions, Glodom continues to integrate language technology with AIand data capabilities, providing businesses with solutions spanning languageservices, AI applications, and data services. At this year's Big Data Expo,Glodom will focus on showcasing AI data service solutions, industry-specificdatasets, and multilingual data solutions, while exchanging ideas and practicalexperience with large-model companies, research institutions, and organizationsinvolved in government and enterprise digitalization projects.
1. Building AI Data Service Capabilities Around Data Needs
During Big Data Expo 2026, Glodom willshowcase different types of data samples and application scenarios, helpingvisitors gain a more direct understanding of how multilingual and specializeddata can support model training, intelligent interaction, and AI applicationsin vertical industries.
To meet the data requirements of AI modeltraining and intelligent applications, Glodom has developed a data serviceframework covering data collection, data annotation, data quality control,dataset development, and related technical support. Depending on the model,industry, and application scenario, Glodom can provide data solutions thatcombine standardized services with customized development.
In data processing and quality control,Glodom combines automated evaluation with human review to clean, validate, andstandardize data, as well as carry out necessary data desensitization. Forspecific models and business requirements, Glodom can also provide customizeddataset development services, including cross-lingual wake-word libraries,prompt datasets for vertical scenarios, and multilingual navigation prompts forin-vehicle systems.
2. Multilingual and Specialized Datasets for Diverse AIApplications
At this year's expo, Glodom will alsoshowcase multilingual and industry-specific dataset products covering areassuch as machine translation, speech recognition, monolingual text, multilingualimage-text data, and audio translation. The company also provides datacollection and development services for specialized fields such as TraditionalChinese Medicine, book corpora, finance and law, and question banks.
These data products cover multiple formats,including text, audio, video, and images. They can be used according to therequirements of model training, algorithm development, and real-worldapplications, supporting projects across industries such as finance, legalservices, healthcare, education, automotive, gaming, cross-border e-commerce,and intelligent manufacturing.
For AI projects in vertical industries, thevalue of data depends not only on its scale, but also on how well it alignswith specific tasks, industry knowledge, and real-world application scenarios.
Drawing on its accumulated multilingualresources and expertise in specialized domains, Glodom continues to expand itsdataset development capabilities for different models and applicationscenarios, providing more targeted data support for AI training and intelligentapplications across industries.
3. Language Expertise and Industry Experience as theFoundation of AI Data Services
AI data services involve more than dataprocessing. They also require language expertise, industry knowledge, scenarioanalysis, and quality management.
Glodom has long focused on languagetechnology, serving a wide range of specialized industries, including software,ICT, gaming, finance, intellectual property, and life sciences, whilecontinuing to invest in AI technologies and data service capabilities.
For multilingual and industry-specific dataprojects, Glodom combines its language expertise with data processingcapabilities to support a range of tasks, including multilingual dataprocessing, question-and-answer refinement, speech transcription, and multimodaldata annotation. These capabilities provide the data foundation needed formodel training and related intelligent applications.
4. Event Information
Event: ChinaInternational Big Data Industry Expo 2026 (Big Data Expo 2026)
Date: August28–30, 2026
Venue: GuiyangInternational Conference and Exhibition Center
Glodom Booth: W2F11
We welcome you to visit Glodom at BoothW2F11 and speak with our team about AI data services and multilingual datasolutions.
Stay tuned to Glodom for more updates fromBig Data Expo 2026.
About Glodom
Glodom Language Solutions Co., Ltd.(Glodom) is an innovative technology company specializing in languagetechnology and AI data services. The company provides high-quality datasolutions for AI foundation model training and intelligent applications.
Glodom provides data collection, cleaning,processing, annotation, structuring, and dataset development services for awide range of AI applications, including foundation model training, SFT, DPO,RAG, ASR, multimodal models, and industry-specific AI applications.
With a data services team of more than1,000 professionals, Glodom has built extensive industry expertise, with coreteam members having an average of more than eight years of experience. Thecompany has accumulated substantial experience in data quality control, projectdelivery, and data security management.
To date, Glodom has provided stable andreliable data services to multiple enterprise clients and established long-termpartnerships with them.
