Artificial intelligence (AI) : Part Five

>> Tuesday, July 26, 2011

Enterprise Resource Planning A software development domain relating with integration of all inbound / outbound departments of an organization. These departments may comprise Customer Services, Process, Trade, Management, Accounts and HR. Since 1990, Enterprise Resource Planning is the most unbeaten software development panel proved to bring in line businesses to benefit high degree of competence. The purpose of this integration is to make easy faultless flow of helpful data transversely all over the organization to effect data access by anytime, anyone with ease. ERP structure can run on a diversity of hardware and network design, characteristically utilizing a database as a warehouse for information. The major benefits of ERP are as under

· Financial information Integration—CEO always tries to find the truth with all different angles to find out the originality of the situation by putting the versions of sales, finance and revenue at one place. ERP generates a sole version of the fact that cannot be questioned because every person is using the same system.

· Customer order information Integration—ERP the only place where the customer order remain till the supply, invoicing and payment. This information in one software system, is provided by ERP hence making the database common for all department which is accessible for all way roung inside the organization.

· Regulate and accelerate manufacturing processes—ERP provides facility to the manufacturing companies as well. ERP systems come with typical methods for automating some of the steps of a modernizing process.

· Reduce inventory— Flowing more smoothly, and it improving visibility of the order fulfillment process inside the company ERP helps the manufacturing process flow more smoothly which improves visibility of the order fulfillment process inside the company

· Standardize HR information—Especially in companies with multiple business units, HR may not have a unified, simple method for tracking employees’ time and communicating with them about benefits and services. ERP can fix that.

Today’s advanced ERP systems continue to incorporate more outwardly facing functionality such as supply chain management, customer relationship management and supplier relationship management systems. In addition, software vendors are working hard to appeal to small to mid-sized manufacturing companies. They are also adding value in the areas of PLM product data management, quality management, field service modules, and Internet capabilities.

Advanced planning and scheduling (APS) systems vary a great deal in their functionality and interaction with other systems, causing confusion as to what APS really is. The more advanced APS modules generally include constraint models for both materials and capacity. The latest technology has the capability to model not just a production plant’s operation, but an entire supply chain, including suppliers, multiple production plants, and complex distribution chains. This overview of the development of enterprise resource planning systems is necessarily a bit simplistic and leaves out much detail.

The marketplace’s advancing technology, vendor competition, the sheer complexity of the systems — has contributed to a string of terms and acronyms that few vendors — let alone their corporate customers — could agree on. All the more reason for manufacturers today to let their own business goals drive ERP decisions. Anybody can call their system offering enterprise resource planning, advanced planning and scheduling, or supply chain management, but the system itself must contain all the necessary elements to fully support a fast and more competitive supply chain in your specific environment or it just isn’t worth the investment.

Competitive analysis

Companies Specialties Web


Business intelligence, Survey and market research, Scientific research and quality improvement.


Comprises huge multi- background knowledge base, an efficient supposition engine, a set of boundary tools, and a number of special-purpose application modules


A MicroStrategy Division. Provider of venture decision support software which permits complicated analyses across big amount of numerical data stored in RDB data store

Logic Programming Associates

Prolog compilers for Windows and Mac, expert system shell, object-oriented prolog, data mining


Supplier of professional system software and services based on G2, the company's exclusive, high-performance reasoning-engine technology. comprises classic usage set-up and applications, case studies, whitepapers and corporate information.

Luminia Decission System

Makers of Analytica: business replica and decision support

Hugin Expert

Expert system software house in structure and implementation of Bayesian.

Norsys Software Corp

Belief networks and control diagrams for decision analysis, data mining, prediction, diagnosis, creating software agents, real-time control, signal conditioning, sensor fusion, expert system building, statistical analysis, probabilistic modeling and risk management / portfolio analysis.

Influencer Analysis

Blog is a type of website/part of a website, Which are usually retained by an entity with recurring entries of explanation, narrative of proceedings, or other stuff such as graphics or video. Entries are usually exhibited in reverse- sequential order. Some frequent bloggers on internet about artificial intelligence (AI) are

Mark Watson

John Burch

Robot Guy


Crummy Church Signs

Artificial Intelligence Stock Analyst

Bust a Change

Yasir Suleman

Summary and Conclusions

It has been discovered that AI research can carry about many possible paybacks.

This is secondary question however whether artificial intelligence itself will influence our existence. It has also been concluded that few present computer expertise can in fact be phrased bright, therefore there is little current proof of systems that can be called artificially intelligent. It is claimed that the next big breach in AI is about to happen. However it is hard to believe that this is the case. The fact is that it has attained a little to date. Computing is a hard area to foresee but the best estimate must be that though AI will develop in the next ten years, it looks doubtful that it will take a quantum leap.

While the way in which Artificial intelligence might appear more powerful over the next ten years is in relating current methods and the developments to new application fields or by relating them to larger result in current uses of AI, The Speech recognition is an example of this and will probably the most significant and notable area of computing that AI will advantage. New application fields for AI are very hard to expect. Intelligent minds are better than dumb machines. Artificial intelligence has a long way to go yet. The intelligent techniques are being developed and will continue to be developed for the new discoveries. However, true intelligence in machines appears to be beyond our reach, for now at least and time will notify whether this rests to be so.


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