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This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Alation has been leading the evolution of the data catalog to a platform for dataintelligence.
As companies increasingly rely on data for decision-making, poor-quality data can lead to disastrous outcomes. Even the most sophisticated ML models, neural networks, or large language models require high-quality data to learn meaningful patterns. When bad data is inputted, it inevitably leads to poor outcomes.
With an open data lakehouse architecture, you can now optimize your data warehouse workloads for price performance and modernize traditional data lakes with better performance and governance for AI. This approach ensures that data quality initiatives deliver on accuracy, accessibility, timeliness and relevance.
Gartner calls out IBM’s innovation in metadata and AI-/ML-driven automation in Watson Knowledge Catalog on Cloud Pak for Data, along with fully integrated quality and governance capabilities, as key differentiators that make IBM a leading vendor in competitive evaluations.
Organizations are evaluating modern data management architectures that will support wider data democratization. Why data democratization matters First and foremost, data democratization is about empowering employees to access the data that informs better business decisions.
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