The future of virtual assistants is expected to be characterized by several key trends and developments. Virtual assistants will continue to advance in their ability to understand and generate natural language. This includes better contextual understanding, recognizing nuances, and handling more complex conversational interactions. Digital Journal brought this topic to our attention in their article, “Advanced Virtual Assistant Market Will Hit Big Revenues in Future: Google, Microsoft, Deloitte, Viv Labs.”

Virtual assistants will also become more capable of automating tasks and processes, saving users time and effort. This could include tasks like scheduling appointments, making reservations or even more complex activities in business and productivity settings.

It’s important to note that the pace of development in the field of virtual assistants will depend on various factors, including technological breakthroughs, regulatory considerations, and user acceptance. The future will likely involve a combination of these trends, leading to more capable and integrated virtual assistants that are deeply woven into our daily lives.

The biggest challenge is that most organizations have little knowledge on how artificial intelligence (AI) systems make decisions and how to interpret AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact, and its potential biases.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.