PerceptiLabs Blog

A Look at PerceptiLabs’ Browser-Based Architecture

Mar 23, 2020 9:49:50 AM / by PerceptiLabs posted in Machine Learning, Model Management, Technical Information, Modeling Tool

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During our initial development of PerceptiLabs Beta, we generated our visual modeling tool as a native, platform-specific executable for Windows, Mac, and Linux.

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PerceptiLabs Named to the 2020 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups

Mar 3, 2020 4:59:15 PM / by PerceptiLabs posted in In the News

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PerceptiLabs recognized for achievements in AI Model Development

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MLOps: An “Ops” Just for Machine Learning

Feb 10, 2020 8:01:00 PM / by PerceptiLabs posted in Model Management, Machine Learning Workflow, MLOps, Explainability

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If you’ve been around software development for a while, you’ve undoubtedly come across numerous terms appended with the word “Ops”, such as “DevOps”, “TestOps”, or “DataOps”. Of these, “DevOps” (short for “development and information-technology operations”) is probably the most well-known. It refers to a set of software development practices that promote automation and cross collaboration between teams of different disciplines, to reduce software delivery times while achieving a desired level of quality. 

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The Importance of Transparency in Machine Learning Models

Jan 29, 2020 7:59:00 PM / by PerceptiLabs posted in Transparency, Machine Learning, Explainability, Modeling Tool

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Digital systems are only useful if they can be trusted to do their job. With traditional deterministic systems, we could derive a degree of certainty that a system was working correctly through processes such as unit tests, end-user testing, code reviews, and design documentation.

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Drag and Drop your way to a new Machine Learning Model

Dec 20, 2019 9:00:00 AM / by PerceptiLabs posted in Transparency, Flexibility, Machine Learning, Model building, Modeling Tool

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Introducing PerceptiLabs, a Visual Modeling Tool for Machine Learning

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Venture Beat: PerceptiLabs’ drag-and-drop interface makes ML modeling easier and faster.

Dec 9, 2019 4:03:00 PM / by PerceptiLabs posted in In the News

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We were excited to be featured in Venture Beat, in their Article titled: PerceptiLabs’ drag-and-drop interface makes ML modeling easier and faster. Check it out to learn a little more about our visual modeling tool and how we got started.

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Achieving Transparency Through Visualization in Model Management

Dec 6, 2019 8:02:00 AM / by PerceptiLabs

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In our blog The Importance of Transparency in Machine Learning Models, we talked about how transparency in machine learning (ML) models helps us to build an understanding of the model, provide insight into why it’s generating certain results, and ultimately increase our trust that the model will perform as expected in the real world. However, achieving such transparency in a typical real-world ML workflow requires the right processes and tools to be in place.

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