The XAQUA Unified Data Platform excellently integrates data management and AI, crucial for achieving ‘Better AI with Better Data.’ Its ability to prepare, cleanse, and structure data effortlessly forms an ideal foundation for AI algorithms, leading to more accurate and insightful AI outcomes. The high-quality data ensures the effectiveness and precision of AI analyses and predictions, addressing a key challenge in AI implementation—data quality—and enabling more sophisticated AI solutions.
The xAQUA Unified Data Platform (UDP) is pivotal for advancing Business Intelligence maturity. Its integrated DAMA approach and user-friendly, no-code/low-code environment streamlines the journey from raw data to advanced analytics, making data access easier across various skill levels and promoting a data-driven culture. By combining multiple functionalities into one platform, it reduces costs and risks while improving data quality and trust, making xAQUA UDP a transformative tool for maximizing data asset potential.
Ben Word
Ex Chief Architect, Office of Enterprise Architecture, California Department of Technology & Judicial Council of California
xAQUA UDP emerges as an essential tool in finance, streamlining data management with its advanced analytics, ML, and AI capabilities. Its intuitive no-code/low-code platform, featuring tools like AI Augmented Universal Query Engine and No Code Machine Learning, simplifies financial data processing and compliance. This boosts not only Business Intelligence maturity but also enhances operational efficiency and decision-making, proving vital for financial institutions adapting to the fast-changing financial landscape.
Kapil Nikhra
Senior Director of Software Development and Engineering, Charles Schwab
The xAQUA UDP is a very innovative solution for delivering self-service data, analytics, and ML/AI in a fast-paced environment by leveraging its integrated AI powered no code/low code tools. was quite impressive. In the healthcare sector, data interoperability and data security are critical. The platform’s approach to handling data interoperability, and security and privacy of sensitive data while quickly delivering AI powered healthcare analytics is very promising.
