Intellectus presents a new data platform built on data fabric
that overcomes traditional challenges in storage, analysis, application, and generation.
Intellectus presents a new data platform
built on data fabric that overcomes
traditional challenges in storage, analysis, application, and generation.
Usecase | Big Data Platform for the Autonomous Driving Domain
Usecase | Data Generation and Augmentation : Hyper-Real Simulation Data
Usecase
Big Data Platform for the Autonomous Driving Domain
Usecase | Data Generation and Augmentation : Hyper- Real Simulation Data
Intellectus Data Platform
Core Structure
Intellectus Data Platform
Core Structure
1. Data Virtualization
- Serving as the initial entry point for the Data Fabric, it directly resolves issues in data storage and analysis. - Through Data Virtualization, it optimizes the data needed for information exploration and data governance modules. - It leverages Intellectus' proprietary technology, from ingesting diverse data sources to ensuring data availability.
Overcoming Storage Limitations
Data is detached from physical spaces and generated and used in a virtual form.
Overcoming Analysis Limitations
Complex data structures are simplified by integrating diverse data to create virtual datasets.
2. Information Retrieval
- Using Data Virtualization, analyzed data is purposefully extracted through clear exploration. - Based on knowledge graphs and NLU, integrated data is efficiently retrieved from a virtualized layer.
Image IR NLP IR Image Text IR
3. Data Governance
- By using both Data Governance and Data Lineage, we ensure data reliability and transparency. - Data virtualization and the information exploration layer, which require governance, are efficiently managed through a dedicated pipeline.
Ensuring Reliability
Data origins and preprocessing steps are clearly documented, with thorough validation and audits performed.
Ensuring Transparency
Every stage of data collection, processing, analysis, and utilization is clearly recorded and publicly shared.
4. Auto ML
- Auto ML based on Data Fabric automatically generates tailored AI. - Optimized for Data Fabric, it leverages techniques founded on feedback and re-iteration.
Customized Enhancement
Feedback data from the tailored AI is fed back into the Data Fabric, enhancing the virtualization, IR, and Governance layers.
Customized Optimization
Through repeated enhancement cycles, the Data Fabric converges towards and is optimized for customization.
1. Data Virtualization
Serving as the initial entry point for the Data Fabric, it directly resolves issues in data storage and analysis.
Through Data Virtualization, it optimizes the data needed for information exploration and data governance modules.
It leverages Intellectus' proprietary technology, from ingesting diverse data sources to ensuring data availability.
Overcoming Storage Limitations
Data is detached from physical spaces and generated and used in a virtual form.
Overcoming Analysis Limitations
Complex data structures are simplified by integrating diverse data to create virtual datasets.
2. Information Retrieval
Data Using Data Virtualization, analyzed data is purposefully extracted through clear exploration.
Based on knowledge graphs and NLU, integrated data is efficiently retrieved from a virtualized layer.
Image IR
NLP IR
Image Text IR
3. Data Governance
By using both Data Governance and Data Lineage, we ensure data reliability and transparency.
Data virtualization and the information exploration layer, which require governance, are efficiently managed through a dedicated pipeline.
Ensuring Reliability
Ensuring Transparency
Data origins and preprocessing steps are clearly documented, with thorough validation and audits performed.
Every stage of data collection, processing, analysis, and utilization is clearly recorded and publicly shared.
4. Auto ML
Auto ML based on Data Fabric automatically generates tailored AI.
Optimized for Data Fabric, it leverages techniques founded on feedback and re-iteration.
Customized Enhancement
Customized Optimization
Feedback data from the tailored AI is fed back into the Data Fabric, enhancing the virtualization, IR, and Governance layers.
Through repeated enhancement cycles, the Data Fabric converges towards and is optimized for customization.
