The usage Artificial Intelligence (AI) is a lot more common than one might think. From smart-phone applications, medical surgery robots and self-driven vehicles – the technology of AI is rapidly developing and many have adapted into daily human life in many aspects. In this level of application, we can say that Artificial Intelligence is transforming the world.
There is a broad range of area where Artificial Intelligence can improve our lives. The question is, how exactly it works? One might question whether Artificial Intelligence can replace human jobs.
What is Artificial Intelligence (AI)?
The definition of Artificial Intelligence
A numerous definitions of Artificial Intelligence have surfaced since its capabilities and benefits are known. In 2004, John McCarthy on his paper expanded the definition of AI as the following:
“It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence.”John McCarthy
Little do we know, decades before this well-known definition, the discussion over Artificial Intelligence started in 1950 along with Alan Turing’s work on “Computing Machinery and Intelligence”. In this paper, Alan Turing considered the question of “can machines think?”. As an attempt to answer this question, Alan Turing performed a test called “Turing Test”. This test was to determine whether or not the computer is capable of thinking like a human-being. In this test, human interrogator would try to distinguish between a computer and human text response. This test, plays an important part in the history of AI.
Read more about the history of Artificial Intelligence
To summarize from all the definitions could be found, Artificial intelligence is a field of study where machines can “think” and make decisions in ways that are somewhat similar to what a human will be able to do. Machines with traits that associate with human behavior such as problem solving and learning, can be identified as AI. Artificial Intelligence makes it possible for the machine to enhance its capabilities, such as performing human-like tasks.
The intelligence of Artificial Intelligence
According to John McCarthy, AI is not always about stimulating human intelligence. He defined intelligence as “the computational part of the ability to achieve goals in the world.” He stated that we can learn something to make machines solve problems, by doing observations of various methods.
Responding to 1950’s work of Alan Turing the “Turing Test”, John McCarthy explained that this test is a one-sided test.
“A machine that passes the test should certainly be considered intelligent, but a machine could still be considered intelligent without knowing enough about humans to imitate a human.”John McCarthy
Artificial Intelligence aims at human intelligence. The main purpose is to build computer programs that can solve problems and achieve goals in the world as well-performed as humans. John McCarthy responded the question of “How far is AI from reaching human-level intelligence? When will it happen?” by saying that a few people think that human-level intelligence can be achieved by writing large numbers of programs and assembling vast knowledge bases of facts. However, he continued, most AI researches believe that new fundamental ideas are required, therefore it is impossible to predict when it can achieve human-level intelligence.
Examples of Artificial Intelligence’s Technology
There are three main technologies of Artificial Intelligence:
1. Machine Learning (ML): Machine learning is the ability for the computer to learn without programming. Machine learning algorithms build a model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so.
2. Natural Language Processing (NLP): Natural Language Processing is a way for machines to understand the meaning of human language. Incorporating NLP for different human languages into RPA is still a relatively new concept. Gleematic is one of the pioneers to incorporate NLP for Asian languages, such as Chinese, Indonesian, Vietnamese, to work seamlessly with RPA in a single platform.
3. Image Recognition: It is only in recent years that computers are beginning to tell a car apart from a cat. Image recognition coupled with RPA will allow the robot to fulfil the work of the eyes of humans. For example, you can ask the robot to download all images that have dogs in them. You can also ask robot to search for images with certain company reports based on their logos.
However, it usually would take a large amount of data to train AI in order to achieve the desired results. In cases such as chat box, AI would need to be trained with large amount of data in order to produce lifelike conversations with humans.
Why is Artificial Intelligence Important?
Companies have been using Artificial Intelligence to improve their business operations, and this implementation has given them numerous advantages. AI brings benefits for companies not just because they can perform tasks better than humans, in term of minimized errors and increased accuracy, but also because AI allows companies to gain insights into their operations.
Here are other reasons why Artificial Intelligence is important:
Artificial Intelligence embeds ‘intelligence’
AI brings the intelligence to (almost) any products. For an example, cognitive automation (also known as intelligent automation) where the robot becomes cognitive bots as it incorporates with Artificial Intelligence. Cognitive bots perform automation of tasks that usually require human-knowledge, for example tasks that require complex decision-making that urges for human intervention. With AI, the bots can perform those tasks and human only need to play the part to review and validate.
Artificial Intelligence offers superb accuracy
Through deep neural networks, AI offers superb accuracy. This AI learning techniques makes the work they do has higher accuracy. They don’t feel fatigue as human does, thus they won’t make mistakes like human.
Artificial Intelligence provides insights as it analyzes deeper on more data
Through neural networks, AI can analyze deeper and more data. Of course, it needs a lot of data to train the deep learning models – given the fact that they learn directly from the data. The role of data is extremely important, thus it can create a competitive advantage for companies who have the AI technology that enables the ease of getting and analyzing data.
Artificial Intelligence has the self-learning ability
Give the data to AI, let AI learn. AI is adaptive accordingly to the data it feeds, through progressive learning algorithms. AI can find structure (pattern and trend) and regularities in data, thus algorithms can acquire skills. This self-learning ability will result in a training model, and this model can also adapt when there is new data to feed.
Artificial Intelligence automates repetitive tasks
Not just automating manual tasks, but AI also automates complicated tasks that usually require human knowledge. It is reliable and runs without fatigue. Combined with automation robots, AI will allow human to automate almost any type of tasks.
How to Use AI to Replace Human Intelligence?
When some think of AI, they might refer to the AI robots portrayed in movies and leading to the doom of mankind. This is far from the truth. Although AI can replace some level of human work, human supervision would still be needed. The goal of using AI is to help human to work smarter and increase productivity, there are many advantages when it come to implementing AI.
One of the obvious advantages is that operations can be seam-lined from start to end with AI. Software robots with A.I. will be able to read email or other unstructured text. They can also extract key points from unstructured text or data from semi-structured texts such as forms and tables. These intelligent bots can also make complex decisions based on the historical transactions provided by humans.
Timesheet Killer found that approximately $650 billion per year is wasted time on distraction cost in the United Sates. A lot of business recurring tasks can be mundane with high volume of data to process. Not only this can result a rose in costs, and it will likely causes burnout among workers. And the solution to this problem is Cognitive Automation.
Why Choose Cognitive Automation: AI and Automation
Cognitive Automation is a combination of Artificial Intelligence with rules-based automation such as RPA (Robotic Process Automation). Not only will Cognitive Automation maximize your efficiency, but it can also be a strategic tool to make a big difference in the competitiveness of your business.
Nowadays, AI is used widely in automation for work processes. With the abilities of AI, automation can be done faster and more accurately. This is also true in Gleematic AI’s case, it combines the technology of Robotic Process Automation (RPA) and AI to help companies automate their tasks.
Below are some examples on how Cognitive Automation works.
Intelligent document processing (IDP) | Extract data from invoices with various templates
In this video, Gleematic will be able to read and extract data from invoices in various templates. With AI, cognitive bots can identify which data to extract. Upon extraction, cognitive bots will generate an Excel file where all the extracted data is placed. After this process, cognitive bots can enter all of this data into any system.
Predictive Analysis with Machine Learning | Predict Loan Approval in Banking
Cognitive bots will predict loan approval proposed by a prospective customer. Cognitive bots will make a decision whether the proposed loan is approved or rejected. This capability is possible as Cognitive bots is enhanced with A.I. Machine Learning, which allows cognitive bots to learn the pattern and trend of historical data to make future predictions.
Predictive Analysis with Machine Learning | Predict Employee Attrition for HR
Empowered by A.I. Machine Learning, cognitive bots performs predictive analysis to prevent employee attrition. With predictive analysis, cognitive bots can accurately predict the attrition rate of employees based on their employment records. Moreover, cognitive bots can also predict who will likely to leave, why employees tend to leave, and analyze the key-risk factors affecting the high employee turn-over. With this capability, cognitive bots can provide insight for the human resource department to improve the way they engage loyal employees to stay in the company/organization.
Predictive Analysis with Machine Learning | Predict Defect and Abnormalities in Data
An outlier is an abnormal data point that significantly differs from other data. Detecting outliers is important because its presence indicates a potential error. If there is an abnormal variation, the cognitive bots will indicate it as an outlier and open Notepad to write a notification message.
Image Recognition | Sorting and Classifying Documents
Cognitive bots classifiy documents into separate folders based on the existence of the logo. This capability is achieved through the A.I. feature Image Recognition that allows Cognitive bots to automatically check the existence of the logo in a document, recognize it, and place it into the relevant folder.
Natural Language Processing | Analyzing Sentiments
Cognitive bots can analyze feedback messages to determine whether they have a positive or negative sentiment. This capability is possible through Natural Language Processing (NLP).
Find out more: Gleematic Case Studies
We will need different kinds and levels of AI depending on the tasks, but this does not mean that AI would be replacing human workers. AI is helping many office workers with their tasks. Businesses can save time by automating high volume, mundane and repetitive tasks with AI, resulting a more intelligent work environment and motivated workers.
Contacts us and let Gleematic AI help you start your automation journey.