Employees across the organization can leverage insights created in Seeq with a “read only” view of the information and when Organizer documents are viewed in a web page (as a URL) viewers may annotate or comment on the document to share feedback with other viewers.
Using Seeq Data Lab process engineers can expand their Seeq analytics efforts to the rich ecosystem of Python libraries and data scientists can participate directly in industrial analytics by leveraging Seeq for data access, cleansing, modeling, and other features.
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Seeq is enabling today’s analytics-driven organizations to tap the expertise of their employees by democratizing ML for all types of users.
– Sankara Narayanan, Senior Industry Analyst
Frost & Sullivan