Skip to main content

Artificial Intelligence popular real time application areas

The below 3 IT skills you need to begin you career in Artificial intelligence. I am giving here the real time applications where you can apply artificial intelligence.
  • Experience writing SQL queries to interface to a MySQL database. 
  • Experience with R and Perl programming 
  • Experience with C ++, C and Java

Real Time AI Applications

Medicine

Including interpretation of medical images, diagnosis, expert systems to aid GPs, monitoring and control in intensive care units, design of prosthetics, design of drugs. The IntellipathTM pathology diagnosis system has been deployed in hundreds of hospitals worldwide. AI is being increasingly used to provide solutions regarding vector-borne diseases like malaria.

Robotics

Including vision, motor control, learning, planning, linguistic communication, cooperative behaviour . Robots are usually trusted with jobs that are deemed dangerous and sometimes impossible for a human being. Today, many industries use them for jobs that are to be performed with utmost efficiency and without the slightest possible chance of lapse in concentration.

Engineering

Fault diagnosis, intelligent control systems, intelligent manufacturing systems, intelligent design aids, integrated systems for sales, design, production, maintenance, expert configuration tools (e.g. ensuring sales staff don't sell system that won't work). Diagnostic systems based on AI technology are being built into photocopiers, computer operating systems, and office

automation tools to reduce service calls. Stand-alone units are being used to monitor and control operations in factories and office buildings.

Software engineering

work on programme synthesis, verification, debugging, testing and monitoring of software. AI systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum setup time, while providing the seller with superhuman expertise in tracking the rapid technological evolution of system components and specifications.

Interfaces and "help" systems: as computers are used for more and more applications that involve interaction with human beings, there are ever growing pressures to make the machines easier for non-experts to use.

Information management

This includes the use of AI in data mining, web crawling, email filtering, etc. For example, a company in California, uses AI to help retailers mine for consumer data by sifting through the ages, postcodes and buying habits of people who buy goods over the internet. Google is a set of applied artificial intelligence platforms, which are able to ‘learn’.

Entertainment

Increasingly AI is being used in computer games and in systems for generating and controlling synthetic characters either for textual interaction or generating films with cartoon characters or interactive avatars in virtual worlds.

Architecture, urban design, traffic management

Tools to help solve design problems involving multiple constraints, helping to predict the behaviours of people in new environments, tools to analyse patterns in observed phenomena.

Crime prevention and detection

Detection of forgeries, learning to detect evidence of crooked police officers, software to monitor internet transactions, helping to plan police operations, searching police databases for evidence that crimes are committed by the same person, etc. Intelligence agencies and police departments across the world are highly dependent on artificial intelligence, which is used to detect bombs and explosives and defuse them. 

Forensic analysis of CCTV images using AI vision technology is being developed to recognise criminals. Computer programmes that can recognize fingerprints or voices for use in security systems are being developed.

Commerce

Using software agents of various sorts to provide, search for, analyse or interpret information, take decisions, negotiate with other agents, etc. PEGASUS is a spoken language interface connected to the American Airlines EAASY SABRE reservation system, which allows subscribers to obtain flight information and make flight reservations via a large, on-line, dynamic database, accessed through their personal computer over the telephone. 

The use of automatic scheduling for manufacturing operations is exploding as manufacturers realize that remaining competitive demands an ever more efficient use of resources - companies such as Toyota and Bausch & Lomb use the technology to streamline their production supply chains. Evolutionary computing is used in scheduling to find the most efficient way to roster staff or allocate resources.

Space

Control of space vehicles and autonomous robots too far from earth to be directly manipulated by humans on earth, because of transmission delays. Nasa uses AI to help plan and schedule space shuttle maintenance. 


Military activities

This may be the area in which most funds have been spent. It
is also not easy to learn about the details.

Finance

Credit card providers, telephone companies, mortgage lenders, banks, and governments employ AI systems to detect fraud and expedite financial transactions. The US Internal Revenue Service apply artificial intelligence techniques and other advanced computing skills to solve IRS business problems using neural networks, data mining, encryption, agent-based modeling, expert systems, text generation and natural language, and sophisticated Web applications. 

Artificial Intelligence is heavily used in investing in stocks, organizing operations and managing properties. Fraud detection systems use neural networks to detect stolen credit cards. Financiers use neural networks to predict stock market trends and genetic algorithms to optimize their portfolios.


Telecommunications

language and speech technology systems, automatic speech recognition, speech translation systems, Call Centers and Help Desks often use case-based reasoning to provide instructions on how to deal with common problems.

Marketing

AI is being used to develop more targeted, relevant, and timely marketing programmes to increase customer attrition rates, respond (in most cases proactively) to customer events, and create customer communication strategies that are personalized, relevant and delivered at precisely the right
time for maximum impact.

Comments

Popular posts from this blog

11 Top Blockchain Key Advantages to Read Now

Blockchain architecture changes the financial world in near future. Increasing population and volume of transactions cause financial crimes. Opportunities to implement Blockchain technology are Banks, Share markets, Government Bodies, and Big Corporations.  
Less maintenance and distributable made blockchain hot in the market. Why You Need BlockchainBlockchain stores each transaction in Blocks. No one can tamper or change the details. The people who are making a transaction in Blockchain world they both have same copies. No possibility of changing these records by parties involved. So it is robust.Key Advantages of BlockchainThe ledger details distributed.Distributed data available to all parties, and no one can tamper this data. Every transaction is Public. That means only people who have access can see the information. Stores all records permanently.No one can edit or manipulate the dataThe possibility is there to hack a centralized database. In Blockchain one cannot hack the data. S…

Blue Prism complete tutorials download now

Blue prism is an automation tool useful to execute repetitive tasks without human effort. To learn this tool you need the right material. Provided below quick reference materials to understand detailed elements, architecture and creating new bots. Useful if you are a new learner and trying to enter into automation career. The number one and most popular tool in automation is a Blue prism. In this post, I have given references for popular materials and resources so that you can use for your interviews.
RPA Blue Prism RPA blue prism tutorial popular resources I have given in this post. You can download quickly. Learning Blue Prism is a really good option if you are a learner of Robotic process automation.
RPA Advantages The RPA is also called "Robotic Process Automation"- Real advantages are you can automate any business process and you can complete the customer requests in less time.

The Books Available on Blue Prism 
Blue Prism resourcesDavid chappal PDF bookBlue Prism BlogsVi…

Three popular RPA tools functional differences

Robotic process automation is growing area and many IT developers across the board started up-skill in this popular area. I have written this post for the benefit of Software developers who are interested in RPA also called Robotic Process Automation.

In my previous post, I have described that total 12 tools are available in the market. Out of those 3 tools are most popular. Those are Automation anywhere, BluePrism and Uipath. Many programmers asked what are the differences between these tools. I have given differences of all these three RPA tools.

BluePrism Blue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible and is supported by a comprehensive methodology, operational framework and provided as packaged software.The technology is developed and deployed within a “corridor of IT governance” and has sophisticated error handling and process modelling capabilities to ens…

R Vs SAS differences to read today

Statistical analysis should know by every software engineer. R is an open source statistical programming language. SAS is licensed analysis suite for statistics. The two are very much popular in Machine learning and data analytics projects.
SAS is analysis suite software and R is a programming language R ProgrammingR supports both statistical analysis and GraphicsR is an open source project.R is 18th most popular LanguageR packages are written in C, C++, Java, Python and.NetR is popular in Machine learning, data mining and Statistical analysis projects. SASSAS is a statistical analysis suite. Developed to process data sets in mainframe computers.Later developed to support multi-platforms. Like  Mainframe, Windows, and LinuxSAS has multiple products. SAS/ Base is very basic level.SAS is popular in data related projects. Learn SAS vs R Top Differences between SAS Vs R Programming SAS AdvantagesThe data integration from any data source is faster in SAS.The licensed software suite, so you…

Testing in DevOps to maximize Quality

Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus.
Requirements to Maximize QualityGood maintainable codeExhaustive coverage of casesTraining documents to Operations teamFewer bugs in the bug trackerLess complex and no redundant code Testing Activities in DevOpsThe team to use Tools to check the quality of codeStyle checker helps to correct code styleGood design avoids bugs in productionCode performance depends on the code-qualityBugs in production say poor testing  Tester Roles in DevOpsGood quality means zero bugs in production.Design requirements a base to validate testing results.Automated test scripts give quick feedback on the quality of code. Right test cases cover all the functional changes. The Bottom LineThe DevOps approach is seamless integration between Development and Operations without compromi…

Top Differences Read Today Agile vs Waterfall model

The Agile and Waterfall both models are popular in Software development. The Agile model is so flexible compared to waterfall model. Top differences on Waterfall vs Agile give you clear understanding on both the processes. Waterfall ModelThe traditional model is waterfall. It has less flexibility.Expensive and time consuming model.Less scalable to meet the demand of customer requirements.The approach is top down. Starting from requirements one has to finish all the stages, till deployment to complete one cycle.A small change in requirement, one has to follow all the stages till deployment.Waterfall model creates idleness in resource management. Agile ModelAgile model is excellent for rapid deployment of small changesThe small split-requirements you can call them as sprintsLess idleness in resource management.Scope for complete team involvement.Faster delivery makes client happy.You can deploy changes related to compliance or regulatory quickly.Collaboration improves among the team.