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Text-To-Speech And Other Current Needs For Customer Experience

Artificial Intelligence (AI) has given much to talk about in recent times, and it is not for less. It has meant one of the greatest advances in technology in the last decade; impacting multiple sectors with its applications: business, health, finance, transportation, education, and commerce, among others. Although for many it is a technology that is still alien and distant, we can see its real scope in our day to day. AI is present in facial or digital detection of cell phones, virtual voice assistants such as Siri or Alexa; in apps to learn a new language, and even on the platforms where we shop online. Keep reading Text-To-Speech And Other Current Needs For Customer Experience to know more about this.

Text-To-Speech And Other Current Needs For Customer Experience

Artificial Intelligence as a catalyst for good user experiences

Advances in AI have driven the use of technology and big data in different sectors; mainly in energy, personal and virtual assistance, finance, agriculture, education, logistics and transportation, business, and health. However, today it is a key factor in the customer experience.

When we talk about Artificial Intelligence applied to the customer experience, we are not talking about just AI, or that the human factor is more important; the best setup for a proper customer experience is to use the great power of the two together. AI added to the human factor is the perfect hybrid to improve the customer experience and generate customer satisfaction.

The Customer Experience

The Customer Experience refers to the perception that the customer has of a company in all aspects. From the purchase journey, including service channels, sales, content, social networks, emailing, website, applications, and support, to after-sales. And according to Gartner, an information technology research and consulting company, 80% of companies that work to improve the customer experience from all channels increase their revenue. From his experience, the solutions that any artificial intelligence platform focused on customer experience should currently provide to companies are:

Text-To-Speech For Customer Experience: Technology that allows human speech to be artificially reproduced using only text.

Woord is a text reader platform and API; this free online text-to-speech tool with a variety of useful features might be really helpful. It includes more than 50 languages and dialects, and it allows you to pick between masculine, feminine, or non-binary voices. These characteristics are free to use, so you can test the service before buying a premium version. The free version includes premium voices, a Chrome plugin, an SSML editor, an MP3 download, and up to 20,000 characters per month. You can also change the voice’s speed and format with this software.

Text-To-Speech And Other Current Needs For Customer Experience

Nontheless, purchasing a premium membership for business use may be a good idea, because they are not expensive and have a lot of nice features. Furthermore, with the premium editions of Woord, you have complete intellectual property ownership of your audios. Text-To-Speech can really improve the Customer Experience

Big Data: Process that analyzes and interprets large volumes of data. It serves so that the data stored remotely can be used by companies as a basis for their decision-making.

Python is one of the most popular and widely used advanced programming languages today. This is because its usability is quite simple if we compare it to other programming languages. In fact, it is a widely used software in Big Data given its great ease to work on data analysis.

But, if something makes Python unique, it is its open-source status. This allows it to be a very collaborative Big Data tool, where the users who use said software share their uses, improving the platform for the benefit of all those who use Python.

Robotic Process Automation (RPA): Software that uses bots to automate business processes in order to improve the efficiency of operational flows.

In order for a software robot to know which processes to execute and how it must have structured data beforehand. Standardized and rules-based workflows are processes suitable for automation using RPA. They always follow the same instructions and vary little or not at all.

Long-running activities that require manual processing by users and are therefore particularly error-prone also offer enormous potential for robotic process automation. A specific sequence dictates the respective process flows to the robot. They are usually created in the form of flowcharts and serve as a guide for the activities of the RPA system. Since the software robot always follows the same decision rules, each step of the process must be specified in the flowchart.


Also published on Medium.

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