Another critical aspect of building an effective AI strategy is aligning it with your company culture.
Some organizations are risk-averse; some are more inclined towards innovation. Either can successfully support an AI strategy,
but your culture will influence how the program is implemented and maintained. Considerations for marketing leaders include:
Security & Risk
Return on Investment (ROI)
Operational Approach
A risk-averse company may prioritize
Understanding the ROI timeline is
Companies need to decide if they
stringent security measures and
crucial. Wrangling unstructured data
prefer a federated model, which
thorough risk assessments before
sets and real-time models can incur
allows for rapid experimentation, or a
deploying AI solutions. Maverick
significantly higher expenses than
more centralized, controlled approach,
organizations comfortable with
traditional business intelligence. You
which focuses on precision and risk
moving fast and breaking things can
may have to invest in AI for an
mitigation.
deprioritize some components while
extended period before seeing
still adhering to best practices.
significant rewards. Not everyone has
the appetite for such a commitment.
Building an AI strategy involves careful consideration of the technology’s problem-solving capabilities vs. the company’s
business goals, sufficient time for iterative testing and learning, and alignment with the company’s risk vs. reward threshold.
A Blueprint for CMO Success in the High-Stakes AI Marketplace
11
Powered by FlippingBook