What’s Fueling AI Efforts in Your Life Sciences Organization?

Artificial intelligence (AI) and machine learning are helping life sciences organizations use their vast amounts of data for valuable insights. Learn how to wield your data’s power, accelerate innovation, and dramatically improve patient care.

Learn about five trends that are fueling AI efforts in USDM’s 2024 Trends white paper.

?Trend 1: Making the Quantum Leap to Insights and Value with AI Data

The volume of data generated in the life sciences industry is expanding at an extraordinary pace. Access to clean, well-organized, and interoperable data will differentiate life sciences leaders, foster innovation, accelerate research and development, and contribute to the health and well-being of populations worldwide.

Emerging concepts like Data Mesh and Data Fabric offer a means to manage data in a decentralized yet connected manner. By incorporating these concepts into a data management strategy, data ecosystems become scalable, flexible, and primed for advanced applications of artificial intelligence and machine learning (AI/ML).

Trend 2: Minimizing Operational Debt by Modernizing and Automating

Operational debt stifles business growth, diminishes your agility, and impacts your company's bottom line. But by embracing modern technology, you’re able to address operational challenges, increase efficiency, and gain a competitive edge.

Modern technology reduces or eliminates operational debt by streamlining processes, enhancing data visibility, and enabling scalability. Tools like cloud computing, AI/ML, and automation platforms transform operations and make them more adaptable to change.

Trend 3: Increasing the Business Value of Technology

To understand the value of technology for your business, it’s important to identify specific ways that your technology delivers a return on investment (ROI) for your organization. For example, reducing IT costs and emboldening the employee experience increase the business value of your technology.

To ensure that your technology purposefully enables your life sciences organization, ask questions like: What systems do you have and how does your organization use them? Are your pain points being addressed with your current technology? Do your systems help you meet industry standards? Do you have duplicative systems for GxP and non-GxP data or functionality?

Trend 4: Shifting from Digital Quality to Smart Quality

Smart Quality is a proactive, value-adding entity that leverages advanced technologies and modern processes to drive business growth and innovation to create a competitive advantage. Life sciences organizations are able to manage quality beyond mere compliance.

It implements AI for greater efficiency, compliance, and innovation and aligns quality management with business objectives.

Trend 5: Reskilling and Retaining the Right Talent

While AI has disrupted the job market by replacing some skills with automation, specialized AI training for your employees will equip them to excel in and expand their existing roles.

Reskilling is a proactive strategy to future-proof your workforce. It fills the gap between existing skill sets and the demands of AI technologies. Adapting to modern technologies emboldens employees to lead the way to innovation.

To learn more about these five trends and how they are fueling AI efforts, download the 2024 Trends in Life Sciences white paper. Or contact USDM to talk to an expert in data and AI solutions.