Artificial Intelligence (AI) is the hottest topic in R&D right now, and for good reason. The integration of AI within R&D processes and “lab of the future” initiatives can dramatically help accelerate innovation cycles and provide companies with a significant competitive advantage.

However, in Chemistry and Materials Science R&D the path to successfully leveraging AI is not as straightforward compared to other functions and industries.

In Albert’s latest eBrief, we share: 

  • The case for AI in R&D—and unique considerations
  • Crucial steps most often overlooked in the rush to adopt AI
  • The path to success, including the 4 green flags indicating your lab is ready

 

Plus, read about common AI myths, success stories, and more here: Access eBrief Today.