January 31, 2024
While the digital twin concept shows immense promise for revolutionizing lab operations, traditional digital twin solutions come saddled with burdensome drawbacks. Typically requiring over a year for custom coding and debugging, these systems demand hefty investments often tallying hundreds of thousands to even millions of dollars for a single-use case implementation. Seeking to overcome these barriers to entry for broader adoption, pioneering Professor Mike Stonebraker conceptualized “Agile Digital Twins” – a streamlined alternative combining virtual modeling with real-time data analytics. By emphasizing minimized requirements, flexible configurability and optimized user experience, agile digital twins unveil a vision of virtual replications finally accessible for organizations of all sizes.
By minimizing setup needs, providing versatile architecture and democratizing access to operational data science, agile digital twins promise to make virtual modeling a viable innovation driver for labs both large and small at last. The next article reviews pioneering examples already paying dividends.