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The platform harnesses the power of Artificial Intelligence to unify the modern data ecosystem from curating data to managing model development to enabling insight discovery, ultimately allowing users to make better business decisions more quickly.
Reading Time: 8 minutes At the heart of data science and analytics lies the critical role of features, acting as a cornerstone for precise decision-making and the development of predictive models. Feature refers to an individual, measurable property or characteristic of the data that is used as input for machine learning models.
Discover how a global banking giant leveraged the Fosfor Decision Cloud to automate model monitoring, streamline MLOps, ensure robust risk management.
Read this guide to learn all about the capabilities of Refract, the Fosfor Insight Designer, and how to put them to work to scale your MLOps.
Did you know our journey to the Fosfor Decision Cloud started at the 2023 Snowflake Summit? Check out this video to see how we first hit the slopes!
Looking to implement DataOps in your organization. Presenting Spectra, the Fosfor Data Designer, to supercharge your data and take illuminated decisions based on data.
Download our product brief to learn more about the Fosfor Decision Cloud.
Check out how Fosfor’s native integration with Snowpark enables 5X faster processing speed for advanced analytics queries and brings interesting insights.
Reading Time: 3 minutes The Modern Data Stack has become indispensable for organizations looking to extract valuable insights from their data. Comprising a combination of tools and technologies, the Modern Data Stack plays a crucial role in collecting, storing, and analyzing vast amounts of data. Itenables businesses to generate reports and dashboards that provide
Reading Time: 4 minutes The modern data space has evolved by leaps and bounds altering the very fabric of business analytics and data management. The mass adoption of cloud data warehouses and cloud-based tools has changed how we acquire, store, access, transform, and interact with data. However, business leaders often struggle to get the data they need or are limited in their ability to effectively translate insights into outcomes that drive real value.
