It is now possible for ERP software publishers to consider adding functionalities using Artificial Intelligence. Indeed, although these are particularly advanced and complex technologies, they are within the reach of many publishers who will be able to rely on the services of the big names in Artificial Intelligence.
In the manner of the Cloud model, which allows access to large computing or storage powers on demand, computers dedicated to Artificial Intelligence such as IBM Watson will now be able to be interfaced with all types of applications and in particular an Customized ERP Software’s in Dubai. The end customer will thus benefit from a technology that was previously inaccessible to him.
What does artificial intelligence do?
Artificial intelligence makes it possible to use computer data to arbitrate situations, make decisions and automate certain actions.
It is already used in many business sectors: for example, in the field of UAE, at the heart of an ERP software to sort the millions of emails sent to a company and to prepare standard responses taking account of obligations legal.
In the area of distribution, visitors can ask questions in natural language and in return benefit from personalized advice on the choice of clothing.
Elsewhere, a law firm analyzes legal texts and court decisions with cognitive technology that provides the answers in seconds.
Artificial Intelligence and Big Data
The rise of Artificial Intelligence is largely linked to Big Data, which is its perfect complement.
Big Data captures and stores very large amounts of data, supported by analytical applications, which process data to make sense of it.
But rather than leaving it solely to man to analyze these results and draw relevant conclusions that can add value, it is now possible to entrust it to a machine.
Industrial ERP: how to exploit artificial intelligence?
Since its origins, with the MRP (Material Resource Planning) method in the 60s then MRP2 (Manufacturing Requirement Planning) in the 80s, the industrial ERP software is based on the exploitation of precise company data.
The perfect example is the Calculation of Net Needs (CBN), which uses the company’s product ranges and classifications to accurately estimate manufacturing times and purchasing needs.
It’s already a form of artificial intelligence!
It must be recognized that the capabilities of ERP are often under (or poorly) used, due to its complexity and the amount of data it can produce or collect.
Towards new decision-making models?
Providing an ERP with an Artificial Intelligence capacity would allow it to anticipate, for example, orders for raw materials, manage production in part automatically, suggest improvements in processes, etc.
If we add to this the emergence in Connected Objects businesses, which are themselves intelligent, and other more limited but very effective technologies, such as digital twins, it is undeniable that we are slowly moving towards a supply chain, an ERP, and ultimately an increasingly “cognitive” company.
Voice assistants coming soon?
It is a known pattern: new technologies are first adopted by the general public before finding concrete applications in professional circles.
In this case, you probably did not escape it: the voice assistants arrived in force.
“Ok Google”, “Alexa”: there is no shortage of advertising spots featuring the famous assistants capable of performing increasingly precise tasks.
At the heart of these assistants are algorithms based on artificial intelligence.
What brakes on artificial intelligence?
Artificial intelligence, although in constant progress, remains a set of recent technologies and therefore still complex to implement.
The main obstacle is economic: deploying artificial intelligence massively requires very large investments.
Solid IT infrastructure, massive storage capacity, computing power, all of this (still) has a major cost.
Industrial ERP capable of exploiting this data and efficiently coordinating this new equipment will also require major R&D efforts on the part of publishers.
Another obstacle will be psychological: should we be afraid of artificial intelligence?
Should we let him occupy more and more land in our offices and factories?
