You’ve probably heard the terms artificial intelligence (AI), machine learning (ML) and deep learning (DL) being used in conjunction with digital transformation and data science. You may be wondering what the relationship is between these subjects. How are businesses in industries ranging from biopharma to chemicals to food & beverage incorporating AI, machine learning and data science to improve their processes? Let’s take a look at what these terms mean and how businesses are using them to make more strategic decisions and improve production processes.
Digital transformation in biopharma promises to deliver exponential results and make new discoveries and solutions to complex problems a reality, but it requires companies to make big changes to get there—changes in processes as well as adoption of new technologies. For some companies and facilities, this is a bigger leap than for others. Depending on the level of digitalization and integration that currently exists within a company, the process can take from months to years.
Digital transformation in biopharma, like other industries, is accelerating as Pharma 4.0 and Industry 4.0 begin to take shape in companies of all sizes. But knowing that digital transformation is inevitable is one thing, successfully managing the transition process is another. What are the steps biopharma companies should be taking to ensure a smooth digital transformation?
From employing artificial intelligence (AI) to identify drug candidates to using big data to support continuous process manufacturing, the prospects for digital transformation in the biopharma industry are huge. Yet, biopharma and life sciences lag behind many other industries when it comes to digital transformation.