Feeling left behind in the age of AI and machine learning? | Technology - Retail Dive

Five steps to getting the most out of AI and ML investments while avoiding challenges other retailers have faced by Acxiom.

Photo: G-Stock Studio/Shutterstock.com 

Artificial intelligence (AI) and machine learning (ML) are all the rage in retail marketing, mainly because of new challenges caused by high-dimensional data sources that were largely unheard of a few years ago. While exceptionally powerful, AI and ML are not without their criticisms, which include solution complexity, believing they can solve all problems, and a lack of transparency and insight generation.

So, how do you begin your brand's journey and avoid some of the pitfalls and challenges that other retailers have faced? Here are five steps to getting the most out of AI and ML investments:...

Concluding Thoughts 
At Acxiom, we help marketers and retailers navigate the complexities and evolution of data, privacy management, identity management, and technology solutions to help them improve their insights about their customers and deliver business impact and ROI. AI and ML are powerful tools that can be applied to the full spectrum of data management requirements to fuel desired CX and use cases, and deliver business impact at scale.
Read more...

Source: Retail Dive