Delivering a conversational intelligence, either with kama DEI or any other solution is a mix of art and science operating together in harmony. Understanding the challenges, risks, opportunities, and best practices is key to the launch and ongoing delivery of exceptional user experiences. This page is dedicated to helpful information to guide us on our collective journey in this regard.
Given the increasing popularity of Generative AI (GenAI), questions of ethical and responsible AI development have become imperative. The quest must now be to find ways of working with AI that preserve the rights of enterprises, employees, public users, and other related stakeholders. In this white paper, kama.ai has outlined the requirements necessary to achieve an ethical, responsible, and sustainable conversational AI platform.
Attract and Retain Employees and Customers with Well-Executed ESG Strategies
Throughout the past years, society has seen a shift in values. We are seeing an increased need for companies to demonstrate their social responsibility. This demand for a deeper organizational connection is what is guiding customers’ and employees’ feelings towards enterprises. “When stakeholders do feel connected, customers are more likely to purchase, more employees want to stay with their employer and all audiences engage in more positive advocacy on behalf of the company” (Gartner, 2021).
The Emergence of AI in the Mental Health Industry
According to the Canadian Mental Health Association (CMHA), 77% of adults in Canada are reporting feeling negative emotions as a result of the COVID-19 pandemic, thus emphasizing the need for accessible mental health resources. This paper examines the rise of conversational agents as an innovative solution to providing timely access to mental health resources when professional counselling, or other healthcare support, is not available.
New AI Capabilities are Paving the Way for Advanced Virtual Assistants
As virtual assistants continue to rise in popularity and necessity, technological innovations in Artificial Intelligence are evolving to support advanced capabilities. As a result, the industry is seeing a massive revitalization of AI. The combination of various technologies is allowing a broader range of AI to customer interactions, ultimately providing richer customer experiences at reduced costs to the enterprise. With these new technologies emerging from several different but related domains, the industry sees a new empowered form of Advanced Virtual Assistants arising.
This decade will no doubt be remembered as the time that we became comfortable talking to robots. Whether in chatbots, smart speakers, text, and voice in UIs mobile applications, conversational agents have become mainstream. However, the requirements for implementing quality conversational AI are not trivial. This article reviews some of the key concerns you should be aware of.
Conversational Management in kama DEI (Issue 1)
Developing and managing conversational user experience flows in kama.ai’s Emotion AI conversational intelligence platform, kama DEI, is a balance between an art and a science. This paper provides an introduction to knowledge management and conversational management using kama DEI. It then discusses some of the strategies for making the language understanding more robust for your CX use-cases.