Integration of Artificial Intelligence and Database Management Systems

The growth in the volume of data and processing the analytical data spells success for every business. Just as database management and processing play a key role, so does artificial intelligence in determining the success of any company or organization.

Integration of database management and artificial intelligence is the new trend that will shape the future of computing for the next generation. The coupling of these two technologies will ensure established technologies and R&D in hardware as well as software technologies.

What motivates the integration of the two? The need for accessing a large amount of data that is shared and processing the same, efficient data management, and finally intelligent data processing drives or fosters the integration of the two above-mentioned technologies.

One of the main expectations from their integration lies in the fact that machine learning together with various program algorithms for several companies, maintenance operations can be carried out uninterruptedly and effectively.

Here, let us take a look, a few of the real-time examples of artificial intelligence working in tandem with database management systems.

Real-time examples of remote database management and artificial intelligence

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Traffic Alerts

Google Maps can tell you and guide you on which route will be the best for you to take since not all routes have the same traffic. So, this happens in real-time. And when you use Google Maps, you are letting it know your whereabouts like where your exact location is, the speed at which you are traveling, you can also get answers to queries like what is the current status of a route, which day it is and time of the day.

The above information is stored by the apps. This allows algorithms of machine learning and artificial intelligence can give you the right information after processing.

Interestingly, with the latest features of Google Maps, you will also know when the next bus is arriving and whether or not your expected vehicle is crowded or is legible for boarding.

Recognition of images

This can be understood with the help of an example. If you ask human beings to imagine or recognize a car, you will be able to do so and retain the color of the car, its brand, and other specifications of the car. However, you cannot ask a computer to retain all this because it does so in form of numerical values and algorithms that are used.

With the help of algorithms, machine learning and artificial intelligence can recognize data that is fed and recognize from the visuals and graphics that are at its disposal.

With the help of face recognition technology, you can make bank payments and unlock your phone. Aside from the above applications, remote use of data and algorithm usage of machine learning and artificial intelligence include manufacturing, drones, military surveillance, and cars that are self-driving.

Analyzing sentiments

One of the top-notch applications remote using data is sentiment analysis. Studying emotions and opinion mining are other applications. With the help of this application, machines are now able to analyze and understand whether words said or written are positive, negative, or without emotions. Most importantly, the magnitude of the emotions can also be assessed.

NLP or Natural Language Processing, miners of data conclude after extracting opinions whether data is supervised or unsupervised. With the help of this technology, customer support executives try to improve or work upon the user experience based on the feedback they receive.

Chatbots providing online support

When you visit a website, you must have seen a window pop up saying, “Hi, may I help you”. These are chatbots that run on machine learning concepts. Their role is indispensable in offering customer support. After recognizing the questions that you ask them, they reply or help in resolving your questions and offer an ideal solution for you by making use of the appropriate parameters.

Almost all websites have implemented this kind of support, regardless of the genre or niche of the website. Decision trees are used in answering queries. Depending on the type of domain the website is built for, the queries and answers change.

Google Translate

This is a classical example of a remote database management system. With the help of this app, you will be able to understand the language of an unknown place when you visit the destination for the first time or if you are not well-versed in the local dialect.

However, it is not just the first time that you use the app, you can use it whenever you are facing any problems related to understanding an unknown language.

With the help of “Google Neural Machine Translation”, the search engine major helps people in reading the translated version of the word or phrase that has been fed into the translation string.

Virtual Assistants

Virtual Assistants function on the concept of machine learning applications. With the rise in hand-held devices, the assistants will help you with just about anything from “make a call to my mom”, to “Let me tell you the weather”. This VA s are being extensively used by individuals as well as businesses. They are compatible with Android as well as iOS operating systems.

Make important decisions related to the stock market with machine learning

The stock market is a highly unpredictable and volatile place. With the help of the concept of artificial intelligence, you will be able to make important decisions about your investment portfolio in the trading market.

With the advent of artificial intelligence algorithms that are being extensively used in the financial markets, it has become easier for traders to follow the right trends and patterns and assess the movement of these markets well.

Remote database management systems and their integration with artificial intelligence have revolutionized how the world functions and people function. If you are not able to ascertain the uses and applications of the remote data management system and how artificial intelligence gel and work in tandem, you can always approach RemoteDBA.com for expert and skilled guidance.