How & Why They're Critical to Today's Marketing Team
Marketing teams often have no shortage of business questions and ideas for AI automation, but often have trouble executing. The answer? Collaboration with data scientists and other data experts.
This collaboration can happen through data science, machine learning, and AI platforms. In this white paper, learn about:
1. An overview of the state of the market today.
2. Why companies need data platforms.
3. Why good hiring and open source alone can't fill the gap.
4. Key features to look for in data platform technology.
After receiving her Bachelor of Arts in Journalism/Mass Communications and Anthropology from the University of Wisconsin-Madison in 2008, Lynn Heidmann decided to bring her passion for research and writing into the world of tech. She spent six years in the San Francisco Bay Area writing and running operations with Google and subsequently Niantic before moving to Paris to become Marketing Content Director at Dataiku. In her current role, Lynn follows and writes about technological and regulatory trends and developments in the world of data.
In their most basic form, data science, machine learning (ML), and AI platforms are tools to enable AI in marketing teams by allowing marketers as well as data experts to:
Ultimately, data science, ML, and AI platforms are about time. That means time savings in all parts of the processes (from connecting to data to building ML models to deployment), of course. But it’s also about easing the burden of getting started in AI and allowing marketing teams to dive in and get started now - not waiting for years until technologies sure up and the world of AI becomes more clear (because spoiler alert: that may never happen).
Getting started on the AI journey is intimidating, but this white paper will break down how data science and ML platforms can ease that burden and provide a framework that allow marketing teams to learn as they go.