Unless IT and lines of business are on the same page, new enterprise technology initiatives are doomed to fail. You can prevent it.
Key Takeaways
- Understanding the challenges faced by lines of business within an organization will enable AI to transition from a novelty to a critical analytics function
- Marketing departments can derive significant value from the potential of AI to analyze massive data sets
- CFOs will be interested in AI’s ability to automate processes, manage risk, and detect fraud
Consider what challenges AI might help marketing overcome. And how might these differ from the challenges faced by finance? With these two lines of business earmarked as areas of strong opportunity for AI, considering these questions is critical to understanding how IT
The CMO: Building deeper connections with customers
Adoption of AI-based technologies within marketing is fairly mature relative to the enterprise a whole, and most marketing leaders anticipate AI will be the technology area that experiences the most growth over the next two years.1
According to Salesforce, 51 percent of marketing leaders already use AI, with more than a quarter planning a pilot in the next two years.1
51% of marketing leaders already use AI, and more than a quarter are planning a pilot within the next two years.2
