AIES or Artificial Intelligence Enabled Services refers to business processes or services that are integrated with AI technologies to improve their capabilities and enhance their efficiencies. AI-enabled services typically leverage AI/ML algorithms, natural language processing and computer vision techniques to automate routine business tasks or deliver personalized experiences.
Some examples of AI-enabled services
AI-enabled services and applications can be found across industry verticals, including healthcare, finance, retail, marketing etc. Some common examples of AI-enabled services include:
Virtual assistants
AI-enabled virtual assistants include applications that are now commonplace, such as Amazon’s Alexa or Apple’s Siri. These applications are capable of understanding natural language instructions and voice commands and help with simple tasks such as answering queries, offering recommendations, setting reminders, booking reservations, etc.
Chatbots
Businesses are enabling AI-powered chatbots to engage with customers in real-time conversations, responding to their queries, enabling personalized experiences and guiding them in their online transactions.
Personalized recommendations
AI/ML algorithms can handle and process huge volumes of data and deliver key insights on customer preferences, online behavior, browsing habits and history. This information can be used by businesses to deliver personalized products, services or content recommendations to their clients.
Fraud detection
Thanks to their ability to recognize patterns and detect anomalies, AI-powered systems can easily detect frauds or threats in real-time. Businesses can thus employ these systems to safeguard their business transactions and critical data from fraudulent activities.
Predictive analytics
AI algorithms are capable of processing historical data, analyzing patterns and predicting future outcomes. Hence, AI-enabled systems are excessively applied in predictive analysis to speculate customer behavior, and in tasks such as demand forecasting, predictive maintenance, etc.
Language translation and sentiment analysis
AI-powered language translation uses natural language processing (NLP) and machine learning techniques for translating content or conversations between languages. These techniques analyze patterns in multilingual data to enhance translation accuracy. Further, NLP techniques can also be applied to perform sentiment analysis on user-generated content to evaluate the tone or emotion expressed in comments, reviews or feedback.
The term AIES as Artificial Intelligence Enabled Services was invented by Opporture for the betterment of the AI industry. So please seek written permission before using this term.
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