Key Points Innovation requires change and businesses need abilities to respond quickly Most application and automation changes are brittle and require an SDLC every time a change is made Allowing businesses to configure rules outside of integration technology increases their responsiveness and velocity Low-code platforms cause testable events Low-code platforms create testable events whenever changes …
Complexity is the enemy of productivity Your IT group is increasing complexity, not reducing it. But, it’s not their fault. Companies contain a myriad of departments and divisions, all with their own specialized teams of workers. Processes are designed to be as efficient as possible, often at the expense of flexibility. And information is collected …
In this episode, Chris Kraus and I discuss the importance of using conversational AI to improve customer and employee interactions. We note that businesses must utilize context in digital conversations just like humans communicate. Remembering context enables digital conversations to be more like conversations we have with friends, family, and coworkers since we understand the …
Digital transformation is the process of taking legacy systems and modernizing them to take advantage of current technologies and methods. Companies need to think differently when it comes to creating digital products and services, as well as how they will train users on those products. To ensure successful adoption, companies must focus not only on …
Robotic process automation (RPA) is undoubtedly one of the most disruptive technologies in recent years, but what is the future of RPA? Enterprises all over the world have implemented RPA, bots, or digital workers to take stable rule-based processes from workers and hand them over to software. It has created billions of dollars of labor …
About SR 11-7: Guidance on Model Risk Management SR 11-7: Guidance on Model Risk Management is a document issued by the Federal Reserve Board that provides guidance and regulatory expectations related to model risk management. The guidance defines model risk as the risk of incorrect or inappropriate model usage, incorrect model outputs, or model implementation …
Contact centers are overworked and seeking more automation Contact centers and customer support organizations are increasingly constrained as more business moves to omnichannel. Email and omnichannel message volumes increase YoY and overwhelm the staff. High turnover rates cause organizations to constantly train new and existing employees on how to appropriately respond to increasingly complex customer …
As machine learning (ML) becomes more prevalent in business and society, so does the need for accurate and dependable operations. Krista offers comprehensive machine-learning operations (MLOps) to help your business succeed with this valuable technology before your competitors do. Krista will help your organization ensure that the right ML assets are in the right place …
Krista improves front of house quality and compliance reporting while reducing the need for training employees.
Call center automation has become an important aspect of many customer service organizations. Contact centers use technology like conversational AI to relieve agents of certain routine tasks, such as logging information, retrieving data, or answering emails so they can focus on more complex interactions with customers. As companies strive for efficiency and improved customer service, …
