AI, Machine Learning and Predictive Analytics Best Practice Guide
A best practice guide for marketers looking to understand how to leverage AI, machine learning and predictive analytics to derive value from their data and gain a competitive edge.
A best practice guide for marketers looking to understand how to leverage AI, machine learning and predictive analytics to derive value from their data and gain a competitive edge.
How is AI being utilised in marketing? How might it be used in the near future? And what does this mean for marketers?
Intelligent automation uses artificial intelligence to gain insights from big data and turn them into action. By implementing machine learning models into automated systems, programmes can crunch data, make decisions and then take action without the input of human beings.
Advertising platforms are offering more automation tools. However, it is important to look at the bigger picture and not always view channels in isolation. There are several key examples when automation may not be the best solution for retailers using paid search.
With more organisations showing greater understanding of how AI and machine learning can be utilised, adoption is rising.
With countries around the world still in lockdown, it’s difficult to imagine a time when it is ‘business as usual’ for the hotel industry.
Stitch Fix is an online personal styling service that sends a curated selection of clothing and accessories to customers, using a mix of machine learning and human selection.
Today, optimizing for search is optimizing your customer’s experience. As people query a search engine on their laptop, ask a voice assistant for help, or use their mobile device to find nearby solutions to their needs, brands must be positioned to appear in these critical decision-making moments.
According to Econsultancy’s Experience Index: 2020 Digital Trends report, in association with Adobe, the gap between CX leaders and mainstream organisations is becoming increasingly evident, with leaders “having advanced customer experience management in place that’s aligned across strategy and technology.”