Refract is a DSML platform that helps multiple personas like Data Scientist, ML Engineer, Model Quality Controller, MLOPs Engineer, and Model Governance Officer work seamlessly together on any AI use case. Refract accelerates each stage of the ML lifecycle, including data preparation, model development, model deployment, scoring, and monitoring on snowflake data.
Read MoreSnowflake has recently introduced Snowpark, the developer framework, that allows developers to write code in their preferred language and run that code directly on Snowflake. Developers can now use Snowpark APIs from their applications or even better — create UDFs or stored procedures that executes completely on the Snowflake server.
Read MoreAs we step into 2022, two things are very clear: Covid will continue to disrupt business models and analytics, and artificial intelligence (AI) will continue to transform how we live and work. Enterprise leaders are now shifting focus from just ‘surviving’ the uncertainty to augmenting their decisions with robust, self-service analytics.
Read MoreA lot of organizations started on their Machine Learning journey a few years ago. The last 4–5 have seen a lot of buzz in the artificial intelligence space and many enterprises decided to either build or buy a machine learning platform to get started on this journey.
Read MoreOrganizations recognize that they need a systematic approach to “operationalizing” AI in order to drive AI success.The pace of digital transformation has massively accelerated with artificial intelligence (AI) technologies and is already transforming every aspect of business.
Read MoreHey there, today we are going to see how easy it is to train & operationalize a machine learning model at production scale using Refract by Fosfor. We are not talking about the product concepts or features here. Rather, we are gonna jump straight into an example to see how much efforts from the data […]
Read MoreAI governance methods are hard to standardise as there is no unified global agreement on AI best practices. At Fosfor, AI governance is based on explainability, fairness evaluation, and human in the loop (HITL) approach.
Read More