The pharma, medical device, and healthcare ecosystem faces tremendous challenges right now, including the discovery of new drugs and fast track clinical trials. In addition, global operations require predictive analytics and agile supply chains for better global healthcare. Deploying Robotic Process Automation (RPA) and AI builds strategies that will sustain operations as these organizations move forward into the new normal.
Listen as our experts share how leading organizations are adopting intelligent automation as a key pillar to unlock significant value for their companies. Join Catherine Calarco, Senior Director of Global Industry Strategy at Automation Anywhere, and Andrew Pellegrino, Director of Intelligent Automation at DataRobot, as they discuss the art of the possible when it comes to intelligent automation.
In this session:
- Discover what RPA is, what AI and machine learning is, and how the combination of the two -- intelligent process automation -- drives digital transformation and business results
- Discuss leading use cases that impact the industry by speeding up drug development and enabling better healthcare worldwide
- Explore high impact use cases and leading edge innovations realized through intelligent automation
- Watch a demonstration of how DataRobot and Automation Anywhere work together to improve pharmacological supply chains, even amidst times of change
Speakers
Senior Director of Global Industry Strategy at Automation Anywhere
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.