Dynamic Customer Segmentation: The Next Evolution in Marketing The current state of customer segmentation is quite antiquated in an age where customers expect immediate relevant communication from brands regularly.
Artificial intelligence and machine learning are rapidly on the rise. Having just attended Forrester’s Data Strategy and Insights Conference in Orlando, FL, we heard these terms frequently mentioned in many presentations.
Ad spend efficiency in online advertising has never been more important. Frustration has continued to increase with a digital ecosystem challenged by ad blocking, saturation, fraud, and breaks in how audience, campaign, response and sales data can be connected accurately. The result is poor measurement and ad waste.
The Value of Explainability in Artificial IntelligenceAI applications are finding a role in many business processes. Machine learning algorithms add speed, precision and automation to enable companies to drive improved
As a CMO, who has been supporting CMO’s for 25 years with hundreds of analytic and data driven marketing campaigns across multiple industries, I am all too familiar with the latency inherent in the CRM campaign process of large enterprises.
simMachines provides companies with significant performance advances through marketing optimization, unparalleled predictions, and customer experience optimization. According to Arnoldo Müller-Molina, Founder of SimMachines, “The OPTin Network is creating a massively single source data management platform. This is an ideal ‘big data’ treasure trove to unleash SimMachines’ Explainable AI technology.”
Predictive analytics plays an important role in the banking industry when it comes to fraud prevention, risk assessment, and more. Discover how explainable AI can enhance the functions predictive analytics serves in banking.
Facebook recently announced that it will no longer support 3rd Party Data Partner Categories or enable advertisers to create campaigns against custom audiences in their platform due to privacy regulations.