0
Pegasystems is launching tools designed to make artificial intelligence usage and algorithms more transparent and enable enterprises to better track usage.
The company, which makes customer relationship and engagement software, said the latest release of its Customer Decision Hub is designed to allow customers to deploy AI algorithms based on transparency thresholds in their business.
Pegasystems dubbed the feature a T-Switch designed to meet compliance requirements and curb risks. Pegasystems AI management tools work with the company’s CRM applications.
AI’s promise is that companies can differentiate customer service and engagement with the technology. AI can provide more personalization and engage customers throughout the sales funnel. The catch is that AI can also be a black box where the logic behind the software is unclear.
Enter General Data Privacy Regulation in Europe. One GDPR requirement is that companies have to explain the logic behind their AI models when using European Union customer data. GDPR roughly requires companies to know where customer data resides at all times.
As EU’s General Data Protection Regulation (GDPR) looms, tech vendors ready pitches
It remains to be seen if Pegasystems AI transparency move gets a boost by GDPR, but enterprises could use the visibility regardless.
Pegasystems’ Customer Decision Hub, which will be available by the end of October, will use a sliding scale interface to rate AI transparency. There are also controls for transparency of AI models.
In addition, Pegasystems also rolled out new tools to create, import, manage and monitor AI models via a control center for AI. New tools also allow for better predictions on customer behavior and decision automation. There are also analytics for text, sentiment and intent.
Here’s a look at two screens of the Customer Decision Hub:
More Pegasystems:
IP Australia gets automated with PegasystemsPegasystems helping CommBank, Sprint leverage AI for customer retention
More on AI:
Microsoft unveils its next-generation AI developer toolsPractical AI for the enterprise: Getting past vendors blowing smokeAs AI floods the market, which chatbots deliver the best ROI for enterprises?AI projects are taking off: What does this mean for the future of work?How to build any AI-driven smart service
IBM Watson: The smart person’s guide | ZDNet Academy machine learning bundle | Tech Pro Research: IT leader’s guide to the future of artificial intelligence
Inside the black box: Understanding AI decision-makingInfographic: 50 percent of companies plan to use AI soon, but haven’t worked out the details yetFive ways your company can get started implementing AI and MLWhy AI and machine learning need to be part of your digital transformation plans
0