Features

Top Uses For Machine Learning In Life Sciences

Top Uses For Machine Learning In Life Sciences

Empowering business growth with disruptive technologies like the Internet of Things (IoT), predictive analytics, and artificial intelligence has become a norm in IT, and machine learning is leading the way, as software applications are becoming smarter to improve our business and personal lives. With massive improvements in hardware and Big Data, machines can sense, understand, interact, predict, and respond to solve industry business problems. Learn more with this article from Digitalist Magazine.

Intelligent Augmentation: Life sciences companies are a natural fit for digital labor, from robotics to cognitive

Intelligent Augmentation: Life sciences companies are a natural fit for digital labor, from robotics to cognitive

Life science companies need to bethinking about integrating enhanced automation into their workforces. From KPMG's Ashra Shehata, this whitepaper explains how some life science companies already use a degree of automation (i.e. lean and Six Sigma processes). Other will do well to follow in their footsteps in order to make inroads towards speed and flexibility.

#RPAgoals with Eli Lilly's Director of Automation COE, Finance Shared Service Center

#RPAgoals with Eli Lilly's Director of Automation COE, Finance Shared Service Center

We sat down with Matt Gustitus, the Director - Automation COE, Finance Shared Service Center at Eli Lilly and Company, to discuss how his company is embracing RPA, where his company is on their intelligent automation (IA) journey, their top 3 priorities for the next year and more!
Five ways AI is Reshaping the Biomedical Industry

Five ways AI is Reshaping the Biomedical Industry

When we sat down with Professor Jackie Hunter, CEO of BelevolentBio, to discuss the untapped potential of AI and how the technology is helping to close the industry’s information-innovation gap…
Leveraging RPA for the Business via Outsourcing Collaboration by Shuchita Singh, Director - Outsourcing Governance, AbbVie

Leveraging RPA for the Business via Outsourcing Collaboration by Shuchita Singh, Director - Outsourcing Governance, AbbVie

An enterprise-wide Intelligent Automation CoE is an effective way to roll-out automation across various business lines, but the absence of such a central function requires creative approaches to harness automation. Through this Case Study, we will discuss:

  • Why RPA was required to advance business function
  • What was the optimal approach in the absence of a fully-functional Intelligent Automation CoE
  • How to leverage third-party relationships to advance the approach
Interactive Report: Top 5 Ways Intelligent Automation is Transforming Pharmaceutical Manufacturing

Interactive Report: Top 5 Ways Intelligent Automation is Transforming Pharmaceutical Manufacturing

Companies of all types are leveraging intelligent automation to not only boost efficiency, but to help power their digital transformations—to innovate better, boost customer service and satisfaction, empower employees, and increase revenues and profits. As pharmaceutical firms work to close the gap between rising R&D costs and profits in an environment of increasing regulatory control and testing, Intelligent Automation (i.e. RPA, Cognitive Computing, AI, etc.) is expected to become a key enabler of increased profitability over the next decade. In this interactive infographic, we outline the top 5 ways Intelligent Automation is transforming the life sciences industry:

  • Pharmacovigilance
  • Warehousing & Distribution
  • Operational Excellence
  • Data Management
  • Personalized & Specialized Medicine

To receive this report via email, please contact us at enquiryiqpc@iqpc.com with "Content Request: Interactive Report: Top 5 Ways Intelligent Automation is Transforming Pharmaceutical Manufacturing" in the subject line.