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Hype in the market is one thing. Acceptance is another. Artificial Intelligence (AI) has a lot of buzz, but are customers and businesses ready to embrace it? Join Pega’s Don Schuerman, CTO & VP of Product Marketing, and Dr. Rob Walker, VP of Decision Management & Analytics, as they discuss how to identify AI opportunities with your organization, practical ways in which AI can help win, retain, and grow your customer base, and how to help your customers understand and trust AI technology.

In a world of disaggregated API-based architectures, developers are increasingly adopting microservices and Service Mesh is being used to control many service-to-service communications. But securely communicating and governing between such services is becoming a key challenge.

The potential to democratize healthcare through Artificial Intelligence has made it a focal point of digital health and innovation. With hospitals and health systems increasingly charged with managing a broader scope of patient behavior and events like COVID-19 highlighting systematic disparities in care, AI-focused solutions are being surfaced to streamline and automate prevention and communication efforts. Too often these solutions take a hard-coded approach that lacks the ability to learn and grow or an open-source strategy that is too generic to solve for the needs of your population.

Is the database available if an instance is up and running, but it is unable to serve any requests? Or if response times are excessively long, so that users consider the service unusable? Is the impact of one longer outage the same as multiple shorter outages? How do partial outages affect database availability, where some users are unable to use the service while others are completely unaffected? Not agreeing on precise definitions with your customers might lead to dissatisfaction. The database team might be reporting that they have met their availability goals, while the customer is dissatisfied with the service.