Nowadays, people live in the ocean of data, and almost all aspects of life and work are intertwined with some kind of data generation engine. This will have a greater impact on future generations, because it will become a continuously running society, running in a data-driven world. New concepts such as cognitive system and learning engine will become a part of people's daily life.
Machine learning, natural language processing and artificial intelligence (AI) all aim to transform data from simple parts of people's lives into cognitive components. Ultimately, it helps people make better decisions, maintain competitiveness and influence strategic direction.
Recently, IDC, a research institute, predicted that the amount of world data affected by data analysis will increase by 50 times, with two bytes. In 2025, the amount of analysis data reached by cognitive system will increase by 100 times, reaching 1.4 zebytes.
What is artificial intelligence? The artificial intelligence engine allows machines to perform human-like tasks through various types of data collection, input and even experience. These technologies rely on natural language processing, machine learning and deep learning.
There are already many use cases. Here are some examples:
Artificial intelligence contributes to repetitive learning and task automation. You may have heard of the term robot process automation (RPA), but artificial intelligence is completely different. Contrary to just performing the same tasks (such as supporting background functions), artificial intelligence introduces variability and the ability to adapt to the changing business environment. Although more human interaction is needed, people can use artificial intelligence engines to support more complex tasks.
Artificial intelligence helps to increase deeper intelligence. People can do many things with artificial intelligence engines. Maybe you want to build a chat robot, or you need an interactive system to use first-level support. Artificial intelligence helps to maintain these types of system structures and make them run on their own. With the increase of data, artificial intelligence can analyze this information and turn it into insight that can be used for various purposes, such as security analysis, financial services and even medical service delivery.
Artificial intelligence adapts and develops by learning algorithms. This part is really cool. By collecting data and finding patterns in data structures, artificial intelligence engines can learn. Imagine the artificial intelligence engine of self-learning chess. Similarly, when there is enough data, pattern and behavior analysis, the artificial intelligence engine can become a forecasting tool. For example, what should we sell online next? Artificial intelligence can also adjust the financial model according to market conditions that people can't even see.
Artificial intelligence can be integrated with data warehouse. Data warehouse allows users to store a large amount of information on intelligent platforms. Please note that this database is not a traditional database. Although both are relational systems, data warehouse integrates a large amount of data for the specific purpose of analyzing and even mining data. Thus, artificial intelligence engines can use these systems to create new learning patterns and help enterprises visualize data. Basically, artificial intelligence uses the power of big data.
Artificial intelligence helps to improve the accuracy between enterprises and users, even business interaction and security. With the development of organizational structure, artificial intelligence analyzes data patterns, from which anomalies can be found and reports can be submitted before problems occur. In addition to security, artificial intelligence can also analyze pictures, such as fine-tuning results. Imagine that an artificial intelligence engine can scan radiological reports or magnetic resonance imaging (MRI). It can reduce the number of images and results.
People nowadays have the functions of machine learning and natural language processing. In order to keep it simple, machine learning is an important data analysis function, which is helpful for automatic data analysis and modeling. It is the core branch of artificial intelligence. With little human-computer interaction, it helps to learn data, identify patterns and make better decisions.
The power of natural language processing
Another very interesting component is Natural Language Processing (NLP). This is very interesting. NLP allows users to create intelligent interactions between machines and people. In order to bridge the gap between machine and human, NLP helps to understand and manipulate human language by using code, computational linguistics and computer science. This is a very interesting and simple example.
People can use an application called theMind. If you want to apply natural language processing (NLP), this is their chance. Basically, Natural Language Processing (NLP) allows users to insert almost any kind of data to get the final result. In this case, users can ask any questions to the world anonymously and get to know the topic immediately. This is the key. The user's answer is infinite. They can be numbers, words, sentences and complete books. The NLP engine summarizes the results, filters the answers, and regards the results as truly unbiased opinions according to their questions.
Users need to master many things. Let's take a quick look at the structure and use of artificial intelligence.
Considering the infrastructure, users actually have several choices. They can use internal configuration schemes, one is just a cloud platform scheme, and the other is a hybrid scheme. For example, PureStorage and NVIDIA recently released a powerful advanced analysis engine, AIRI, as an infrastructure to support artificial intelligence. Support data architects, scientists and business leaders. This structure is designed to enable data architects and scientists to provide insight in minutes to hours, rather than weeks to months. Of course, there are also cloud platform purchases. Machine learning on AWS, MicrosoftAzure machine learning and Google AI are just a few examples of powerful artificial intelligence engines based on cloud computing. Users can integrate API from it, and developers can use applications and various data points to support a wide range of data science needs.
Understand the source of data. This needs some research. Is the user's data structured and processed or semi-structured, unstructured or even primitive? Besides, what does it do? Is it a user? Is it a laptop or an Internet of Things device? These concepts are very important when designing your own artificial intelligence architecture and environment. Data source exploration can be very laborious and challenging. Don't help yourself. Users may miss the key store or contain data that should be included. Cooperate with one or two data scientists who can help them draw data effectively.
Understand use cases. This is arguably the hardest part. How do I know if I have an artificial intelligence use case now? As usual, well done. Do you really need to invest in artificial intelligence engines? Well, healthcare, manufacturing, hotels, education, financial services and even the government are all investing in artificial intelligence to help them make better decisions. Sometimes they know whether these questions are useful or not before asking the right questions. Usually, users need to check their business strategies and plans. Remember, innovation is achieved through the pace of technology. In addition, the artificial intelligence system really helps to speed up this process. Some use cases were mentioned earlier. When the user starts,
One suggestion given here is that you don't need to act alone. This is an important reason why data scientists and artificial intelligence architects are booming. Even if you don't know much about use cases, it is a good start to ask about the potential of artificial intelligence and your own data requirements. Don't collect digital garbage. Now there are strong use cases and scenarios, and the artificial intelligence engine can provide real help.