Scispot, the leading Gen AI-powered biotech tech stack provider, has unveiled a groundbreaking feature: AI-powered analytics integrated into its Lab Operating System (LOS). This innovation enables users to create personalized dashboards for lab R&D, production, and operational data, revolutionizing how different departments within a biotech company interact with their data.
Transforming Data Interaction
The new AI-powered Analytics and Dashboard feature empowers users to create customized dashboards and analyze experimental results using a natural language interface powered by ScibotTM. This means that users can now gain actionable insights without needing coding skills. The feature is designed to enhance the precision and productivity of scientific endeavors across various departments.
CXOs can converse with Scibot to create dashboards that provide insights into financial analytics, operational efficiencies, and strategic metrics. Laboratory operations personnel can track daily instrument utilization, cost analytics, and workflow efficiency. Researchers can monitor experiment results, inventory usage, and detect anomalies.
Scispot: Democratizing Data Access
“Our mission is to accelerate biotech R&D by democratizing data access, allowing users to gain actionable insights regardless of their technical background. This innovation is a significant step toward that goal,” said Satya Singh, President and CPO of Scispot.
With this feature, researchers can design custom dashboards and perform advanced analytics directly within Scispot using natural language processing. This eliminates the need for coding skills and reliance on computational teams. The AI-powered dashboard creates personalized scientific data visualizations instantly, making biotech R&D data easily accessible and simplifying the analysis of historical and new experimental data and lab equipment utilization.
Advanced Features for Scientists and Lab Managers
Scispot’s new analytics allow scientists to create graphs and scorecards from selected notebook pages and lab databases using natural language. Now, users can easily generate popular tools such as p-value calculators, t-test calculators, chi-square tests, and linear regression analyses, replacing the need for software like GraphPad Prism, Spotfire, and Tableau.
Scientists can drag and drop charts as widget tiles, view and generate suggested prompts, and directly edit graphs using natural language. Lab Managers can create dashboards to track material costs, inventory, and instrument utilization. Meanwhile, CXOs and management can track productivity and strategic metrics, all while ensuring data security and privacy.
Scispot is Setting New Standards in Biotech R&D
“We are thrilled to introduce our AI-powered analytics, redefining data interaction,” added Singh. “Our mission is to accelerate biotech R&D by democratizing data access, allowing users to gain actionable insights regardless of their technical background. This innovation is a significant step toward that goal.”
As a leader in integrating AI into biotech labs, Scispot continues to empower scientific research with its apps, including LOS, ELN, and LIMS alternatives. By incorporating AI-enabled analytics into its platform, Scispot sets new standards in biotech R&D.
Scispot’s AI-powered Analytics and Dashboard feature marks a significant advancement in how biotech companies manage and interact with their data, promising to drive innovation and efficiency in the industry.
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