This article explores new workflows using data-driven modeling to improve culture medium and new control algorithms allowing for better modulation within the bioprocess design space.

These models can also be combined to allow for hybrid modeling in which data-driven models can substitute unknown equations to fill the gap in understanding. To produce a data-driven model requires ...

Over the past decade, firms have taken the plunge to become data driven. They have amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many, a strong, data ...

The push for incorporating data and analytics into business is widespread, and empirical evidence confirms it's not just hype. Data-driven companies are 23 times more likely to top their ...

Businesses that embrace this data-driven model and recognize that digital expansion is key to wider growth are likely to thrive. Those that fail to keep up risk being left behind.