SensiML Corporation has announced the launch of Data Studio, a platform designed to change the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects – creating high-quality datasets for evaluating and developing ML models.
According to Cognilytica, an AI/ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling and augmentation – all of which are supported in SensiML’s collaborative development environment.
SensiML Data Studio improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualisation tools, sensor data video synchronisation and robust support for large-scale collaborative projects, it offers a experience for developers on edge devices, gateways, PCs and cloud platforms.
A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below:
- Effortless data capture and import
- Collaboratively label sensor data
- Data analysis and model evaluation
- Label and data versioning
“SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries,” said Chris Knorowski, a CTO of SensiML.
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