The Consequence Of Digital Transformation

Artificial Intelligence: The Consequence Of  Digital Transformation

The Consequence Of  Digital Transformation

 Artificial intelligence is a consequence of digital transformation, one of the emerging trends in the use of artificial intelligence. According to Gartner's Top 5 Emerging Technologies and Their Impact on Customer Experience report, by 2022, 70% of customer interactions will involve emerging technologies such as machine learning applications and AI-powered chatbots. But do you know what types of artificial intelligence?

Also according to this report, 26% of CIOs bet on chatbots as the main AI-based application used in their companies. Since the objective of artificial intelligence is to develop machines that reproduce human skills, the trend is for service to be increasingly automated.

In this post, we will explain what artificial intelligence is, what are the main types and how they are used in chatbots and other applications. Want to know more about the subject? Follow the article.

What is Artificial Intelligence

Artificial intelligence is the ability of machines to think like human beings: to learn, perceive and decide which paths to follow, in a rational way, in certain situations.

Artificial intelligence is based on the following formula: combining big data with cloud computing and good data models, the result is smarter machines.

But did you know that there are several AI ratings and several differences between them? Let's see below.

Types of artificial intelligence

Artificial Intelligence Limits (ANI)

Also called “weak AI”, they are intelligent with a single objective: they store large volumes of data and perform complex tasks, according to the schedule. This class of artificial intelligence can do complex calculations very quickly, but it doesn't go further.

In this classification, there are still two subcategories:

Reactive machines: these don't have as many resources. They do not store much data and react only to certain stimuli, according to their configuration;

Limited memory: more advanced, these stores more data and use it to make decisions. This AI stores the data, based on the user's previous choices, and starts offering similar content.

Artificial general intelligence (AGI)

This type of artificial intelligence is “strong AI” or “human-level” because it is capable of solving tasks similar to those performed by humans. It learns through machine learning techniques, for example, in addition to understanding and reacting to specific stimuli.

Furthermore, this model can be applied to tasks that are not performed by ANI but are not yet at the level of human intelligence.

In this category there are two subdivisions:

Aware machines: they see the world and can understand the stimuli received to process information;

Self-aware machines: these are aware of themselves and the world around them, making it easier to understand external stimuli. It reacts in the same way as a human being.

Superintelligence (ASI)

Among all, superintelligence is unknown for the future and is still under study. However, it is imagined that it will be superior to human intelligence, capable of making decisions and also storing data.

Furthermore, scientists think that this superintelligence will be much more comprehensive. It can be a little superior to the human mind and even much more intelligent, performing tasks impossible for people.

Therefore, scientific debates focus on this special artificial intelligence, which can change the way we see and understand the world. According to Gartner, the challenge for AI in the next 10 years will be based on how companies will be able to standardize the development of this technology so that it is used ethically and safely.

Who are the main representatives of AI

Watson and IBM

IBM's Watson supercomputer combines artificial intelligence (AI) and sophisticated analytical software to perform optimally as a "question-answer" machine.

Watson processes at a rate of 80 teraflops (trillions of floating-point operations per second). To surpass a human with a high ability to answer questions, Watson accesses 90 servers with a combined data store of over 200 million pages of information, which it processes against 6 million racists think this superintelligence will be much more embracing. It might be a few super rules of logic.

The applications for Watson's underlying cognitive computing technology are nearly endless. As the device can perform text data mining and complex analysis on large volumes of unstructured data, it can support a search engine or expert system with capabilities far superior to existing ones.

LOUIS from Microsoft

LUIS ( Language Understanding Intelligent Service) is a service that provides language understanding cognitive intelligence for bots or any other application.

It uses the power of machine learning to solve the difficult problem of extracting meaning from natural language input. Any client application that talks to users, such as a dialogue system or a chatbot, can pass user input to a LUIS application and receive results that provide natural language understanding.

LUIS is a service developed by Microsoft that has algorithms to understand human language and create intents that can be used to execute specific commands/code snippets in the client application.

AI uses and applications

Artificial intelligence applications have become so common in everyday life that they often go unnoticed. See 3 of the many possible applications and uses that companies around the world are using to optimize their processes and achieve greater revenue and profits.

1. Chatbots

We are in the age of AI-powered chatbots. Bots are providing intelligent and flexible analytics through mobile device conversations using standard messaging tools and voice-activated interfaces.

This dramatically reduces data collection time for all business users. In doing so, it accelerates the pace of business and optimizes the way analysts spend their time, preparing companies for the rapidly growing data needs.

2. Electronic Commerce

Artificial intelligence offers a competitive edge for e-commerce businesses and is becoming available to businesses of any size or budget. Leveraging machine learning, AI software automatically tags, organizes and visually searches content, allowing users to discover products they want.

3. Smart cybersecurity

Regarding cybersecurity, artificial intelligence is making strides. While it cannot always solve all problems effectively, it works successfully in data protection. And it allows companies to detect vulnerabilities or anomalous user behaviour in business applications like ERP or financial systems.