MobiDev：2023年AI虚拟助手技术指南（中译版）（14页）.pdf

1、Table of ContentsIntelligent Virtual Assistants Market InsightsWhy Do Companies Create AI Assistants?Types of AI Virtual AssistantsThe Technology Behind AI AssistantsSpeech-to-text(STT)and Text-to-speech(TTS)Computer Vision(CV)Noise ControlSpeech CompressionNatural Language Processing(NLP)Natural La

2、nguage Understanding(NLU)Natural Language Generation(NLG)Deep LearningAugmented Reality(AR)Generative Adversarial Networks(GANs)Emotional Intelligence(EI)Challenges and the Future of Virtual AI Assistant TechnologyThey can help you get an appointment or order a pizza,find the best ticket dealsand br

3、ing your attention to the fact you are spending a lot on entertainmentinstead of investments.We are talking about AI virtual assistants,which havealready become a familiar part of our daily lives.But what technologies areunder the hood of AI assistants and how can you leverage them in yourbusiness?F

4、ind all the answers in this article.Image Source1Intelligent Virtual Assistants Market InsightsIntelligent Virtual Assistants(IVA)also known as Intelligent Personal Assistants(IPA)are AI-powered agents capable of generating personalized responses,pulling from contexts such as customer metadata,prior

5、 conversations,knowledge bases,geolocation,and other modular databases and plug-ins.TheIntelligent Virtual Assistant market,experiencing rapid growth in the 2020s,isforecasted to reach USD 6.27 billion by 2026,according to Mordor Intelligence.AI assistant technology is in many ways similar to a trad

6、itional chatbot butintegrates next-generation analytics,machine learning,AR/VR and data science.While conventional chatbots can generate responses to inquiries based onMarkov chains and other similar processes,their static responses pale incomparison to the dynamic insights generated by intelligent