One of the most potentially game-changing aspects of AI-based technology is its ability to perform multiple functions. A big issue for the pharmaceutical industry is handling non-normalized data. Multiple teams work on a drug throughout its life cycle, and each one has unique needs. Often, the work that one team does is directly related to the work that another does. However, since both teams are operating with different priorities, it can be difficult to coordinate that work and provide data that is usable for both teams.
Key Takeaways
- Pharma marketing teams must use multiple tools to complete tasks, which can cause delays.
- Using AI, Viseven has developed a platform and agent that can perform the tasks of multiple tools.
- Marketers can use the platform to simplify the process and reduce the need for rework.
How is AI impacting pharma marketing processes?
With AI, data can be normalized early on and programs can be generated throughout the development process as more data is collected.
Viseven announced a new AI agent for its content creation platform eWizard. The new agent, called eVa, is able to communicate with both marketing and medical teams at pharmaceutical companies. The company bills the program as an all-in-one tool that can be used throughout the development and commercialization process.
In a press release, Viseven describes the program as being able to simplify the process that pharma marketing teams use. Typically, these teams use different tools for different tasks, which can cause delays in the process as teams switch from one tool to another. Since the process isn’t always straightforward, these teams often find themselves switching back-and-forth between tools more than once.
eVa is able to build content that uses brand-approved assets while also checking for compliancy.
This is part of a growing trend in the pharma industry that hopes to use AI to simplify its processes and make as many steps of the development and commercialization process more efficient. These programs are generally being designed not to replace humans, but instead to automate the time-consuming tedious tasks that often slow down the entire process.