What are digital assistants and how to choose the right one

What this post added

This post details the core technologies powering AI assistants, including Natural Language Processing (NLP) and Natural Language Understanding (NLU), Machine Learning (ML), Data Integration, and Speech Recognition. It explains the workflow of an AI assistant from capturing user input to understanding language and intent, reasoning and learning, executing actions across systems, and delivering results. Key features such as learning, personalization, proactive assistance, automation, voice and text support, integrations, scalability, data analysis, and security are highlighted. The post also categorizes different types of AI assistants (personal, task-oriented, conversational, voice, business, healthcare, decision-making, specialized) and outlines their benefits and use cases across industries.