We use automation and embedded ML/AI across the data lifecycle. Our approach enables the organization to quickly deploy self-service data lakehouses with trusted data for all workloads from real-time, cloud, stuctured and unstrctured data. In addition our solutions use augmented intelligence to facilitate and automate critical tasks.
Leverage AI-driven automation to identify, extract, and transform data from various sources. Incorporate AI-powered observability to provide real-time insights into pipeline health, data quality, and lineage.
Enable proactive issue resolution and continuous learning to optimize processes and deliver the right data at the right time and in the right format.
Make data pervasive across the enterprise by leveraging centralized or domain-specific approaches, suggesting a mesh and/or fabric-like architecture for data management.
Empower your data community to create, innovate and manage their own data products using standardized tools and platforms. This accelerates time-to-value for data-driven initiatives.
Automated Master Data Management enhances critical data management by streamlining data discovery, matching, merging, enrichment, and governance tasks.
Data enrichment from external sources is enhanced and validated against predefined rules. Data stewardship workflows are improved, anomalies are detected, and data lineage impact analysis is enabled.
In this whitepaper, you’ll discover why your data foundation is the critical factor determining the success or failure of your AI initiatives. This essential guide provides a comprehensive approach to assessing your current data landscape and preparing it to fuel game-changing AI applications across your enterprise.
© Corporate Technologies, Inc. | Privacy & Legal