Artificial Intelligence In Business Applications

Artificial Intelligence In Business Applications

Artificial Intelligence is based on a concept that has evolved over time and has to do with the idea of ​​building machines capable of thinking like human beings. ​All companies in the industrial, service, or retail sectors use AI applications today to achieve precise objectives due to their ability to transform data into useful and valuable information. Thus, we went from using the information from a predictive point of view to a prescription model, interpreting the report by applying intelligence.

Machine Learning is an AI application that provides the quality of learning through the scientific study of algorithms and statistical models capable of improving automatically based on experience and without depending on prior programming. ​

The Artificial Intelligence: It has been evolving, and in this process, it has been tried that the machines acquire characteristics of human beings, that is, that they have an interpretation of the language through scripts that analyze all the information. AI allows us to identify language, analyze text and sentiment, and learn from interactions in business processes.

AI has also acquired visual recognition with algorithms to view data and its intelligent interpretation. Thanks to the ‘transcript’ conversion, we can interpret the conversations and identify the conversation’s tone and the people’s. And finally, using the interpretation of language, voice, or images, the prescription model is achieved thanks to the ability to generate intelligent recommendations based on acquired knowledge.

Artificial Intelligence Services

Customer Insights

It is an application that allows us to collect all the information from the customer through any sales or communication channel: POS, CRM, social media, call center, or eCommerce. Once we have all the centralized information, we create unique customer profiles: customers and enrich ending with AI and custom algorithms. We call the construction of a single customer repository Customer Data Platform, representing the customer experience repository.


AI allows you to improve marketing objectives by selecting the channel and content to enhance conversion results: carts, opportunities, and customer capture. It is possible to define a series of objectives so that the system uses AI to achieve them.

Improve opening rates by analyzing customer behavior and identifying the best time to send a message individually to each one. In addition, the system has a ‘Spam check‘ to analyze the content of the message we send and creates an algorithm of possible spam entry risks to ensure that it reaches the largest possible number of customers.

AI offers hyper-personalization; we can send recommendations for different products and services according to the client at the right time, in real-time, and with 100% personalized content.


AI is also fully integrated with the sales side. The system will propose different scoring calculations on lead conversion. Its algorithm offers us interpretations of the information, enriching the data in detail, which translates into real business opportunities.

It also provides us with segmentation calculations, suggestions of activities, and conversations based on text and voice; the AI ​​makes the transcript of the call and identifies keywords that will allow us to establish KPIs and analysis of sales forecasts based on key trends.

Customer Service

It allows us to have an intelligent assistant that will add value to teams from AI-generated suggestions using real-time contextual signals to recommend similar cases or knowledge articles without needing to search for information manually.

Virtual agents or Chatbots offer real-time translation and transcript if the voice is connected with recognizing feelings and natural language; thanks to AI ​​, they learn from the context and the answers provided. In addition, they know the interactions with customers in real-time and analyze the feeling generated.

Analytics and data science applied to recordings of business calls are used to get a much broader view. It allows you to understand what customers are talking about and design sales or training strategies with information on keywords, brands, competitors, pauses, call duration, etc. AI capabilities detect emerging trends and opportunities for automation in the different support topics, interaction channels, and knowledge management resources to improve the service.

Power AI Builder And Machine Learning

Through the Power Platform, we can customize algorithms and define our predictions based on the organization’s objectives. With Power AI Builder, you can build intelligence into your apps and gain insights by building custom AI models within Power Apps. AI can predict a potential purchase value and business value, detect objects through images’ graphic interpretation of images.

Personalized Machine Learning through data science to build and evaluate propensity to purchase models, such as customer retention models, from a fully customized point of view, increasing the development curve and targeting customer loyalty and retention.

Artificial Intelligence is everywhere; its enormous potential covers all facets of daily life, such as its ability to boost efficiency in organizations or improve customer experiences. Microsoft Dynamics 365 uses AI as a fundamental ingredient to enhance users’ skills to be more proactive and effective in their abilities.

Also Read: Sectors That Use Artificial Intelligence And What Solutions They Provide

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