TCS Lab of the Future Solutions

Streamline research with lab data

As big data transforms industries, life sciences companies are trying to manage and analyze a huge influx of data to draw meaningful insights.

The Futuristic Labs’ Smart Lab solution aims to use big lab data and technology to accelerate digital transformation in life sciences.

The Smart Lab solution enables customers to digitalize and automate lab processes, with improved connectivity, integration, and management of lab data, including experiment and instrument data. TCS’ Smart Lab or Labs of the Future will be instrumental in driving growth and transformation. With a focus on implementing cutting-edge digital technologies, Smart Lab aims to improve operations and business productivity, and maximize return on investment (RoI).

Overview

TCS’ Smart Lab solution implements an enterprise approach to connect systems, enhance lab support, and ensure data integrity.

Scientists and lab technicians working are often unable to fully use the data generated in a lab. There is a lot more they can do with experimental and contextual data also.

To overcome this challenge, TCS’ Smart Lab solution makes available collective data from different sources, in almost real time. In doing so, the solution increases the productivity of lab users.

This reduces the burden of having to collect and map data, thereby allowing more time for research, analysis, quality checks, and compliance. The solution intends to use the vast amount of data generated in the labs and enable the lab users to derive better insights and make decisions in real time.

The needs of lab managers, analysts, and scientists who use research data generated from their experiments are different and varied. The Smart Lab solution needs different modules to cater to the demand of each role. The data should be seamlessly shared between these modules so that each persona views the data as per their requirement.

What we offer

TCS’ Smart Lab automates access, management, and traceability of lab instruments and data to improve productivity and ensure data integrity.

It offers the following features:

• Instrument connectivity: Supports instrument connectivity over various protocols, intelligent decision-making on the edge, and sends commands back to the instruments
• Device management: Provides a mechanism to monitor and manage lab instruments, including health management, and over-the-air upgrades
• Lab data storage and standardization: Stores, manages, and catalogs data while standardizing it as per the enterprise data model (using configuration-based generic parser)
• Lab data model: Offers a comprehensive lab data model for processing and analyzing data
• Smart Lab apps: It is an ecosystem that enables various use cases, leveraging artificial intelligence (AI), machine learning (ML), visualization, predictive analytics, robotics automation, augmented reality (AR), and virtual reality (VR).