Generative AI and Traditional AI tools have exploded opening up a plethora of use cases for experimentation and adoption. According to McKinsey, 75% of the value that AI use cases could deliver fall across 4 areas: customer operations, marketing and sales, software engineering, and R&D. In marketing, AI is already transforming content creation, communications, search, demand generation, market intelligence, and more. How can marketers tap AI’s transformative potential with the right talent and governance while managing risks?
Key Takeaways
- Learn how to pinpoint AI opportunities across marketing to maximize impact
- Acquire insights on developing the necessary talent and governance structures to effectively integrate AI into marketing strategies
- Understand how to mitigate risks associated with AI implementation, such as data privacy and algorithmic bias, ensuring responsible and ethical use
- Gain actionable steps to implement AI-driven strategies for content creation, communications, search optimization, demand generation, and market intelligence, to enhance marketing performance
