Marketing
Marketers Need Granular Transparency Behind Machine Learning Predictions
Demand for explainable AI over the last year has started to ramp up from a variety of perspectives. DARPA, the Defense Advanced Research Projects Agency, for example, has been calling for more explainable machine learning models that human users can understand and trust.
Sure AI is Powerful But Can We Make It Accountable?
Not being able to explain why a machine is predicting what it is predicting is a big issue for consumer-facing companies that need to be competitive by using machine learning, but need it to be explainable for complying with legislation and general needs to be accountable.
Key Trends in Machine Learning and AI
If your company isn’t using machine learning to detect anomalies, recommend products or predict churn it will be soon. However, understanding the “why” behind the “what” is another critical component of Artificial Intelligence. Trust and transparency are absolutely critical in a world of ML and AI.
Machine Learning: The New Proving Ground for Competitive Advantage
The priorities, initiatives and benefits of Machine Learning are reviewed. Early adopters are realizing benefits and gaining competitive advantage in the markets they operate in. 50% of people planning to use machine learning identified a better understanding of customers and prospects as their number one reason.
