How Machine Learning Benefits Ad Targeting

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 Intelligence

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

How Machine Learning Benefits Marketing

  07/26/2018   Dave Irwin   Marketing   No comments

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.

How XAI Enhances Predictive Analytics in Banking

  07/03/2018   Dave Irwin   Financial   No comments

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.

How GDPR is Going to Change Digital Advertising

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.

CIO Journal Coverage

According to CIO Magazine, May 2nd, 2018, major brands are intensely searching for explainable AI solutions for several reasons spanning guarding against ethical and regulatory breaches to understanding when to override machine based decisions or how to improve them in the future.

Explainable AI is Responsible AI

  03/09/2018   Dave Irwin   Blog   No comments

In Cognilytica Research’s briefing note on simMachines, January, 2018, it highlights the black box challenge of today’s AI machine learning technologies and the fundamental problems lack of explainability causes.

Similarity Based Machine Learning Provides AI Transparency and Trust

Similarity is a machine learning method that uses a nearest neighbor approach to identify the similarity of two or more objects to each other based on algorithmic distance functions.

Dynamic Predictive Segmentation Will Upgrade Retailers Relevancy with Shoppers

It’s well known that the “Amazon effect” is wreaking havoc on retailers’ ability to lure and retain shoppers because of their inability to predict what motivates customers to buy and to be relevant in the moment of interaction.

AI Enabled Customer Segmentation Will Transform Marketing

Marketers are missing opportunities when they use static segmentation, which is not predictive of customer behavior and fails to take customer context into account.