Skip to main content

What is Next-Generation ERP?

The transformation of ERP has led to the origin of what we call the “next generation ERP System.” ERP in its core is reaching operational excellence and process efficiency while keeping everything in real time as much as possible.
Earlier Deloitte declared, “The engine of ERP is the force behind many new technologies and is more ubiquitous, responsive, and more flexible than ever before.” The Next-Generation ERP systems are progressively integrating with new and emerging technologies such as:
  • Cloud
  • AI
  • Machine Learning
  • Internet of Things
  • Blockchain
The vision of ERP II is based upon the intelligent ERP systems built on a considerably big, curated data set to forecast, track, learn, route, analyze, report, manage and predict resources and financial and management processes. Next-Generation ERP is capable of analyzing and acting on a massive pile of data in real-time, using in-memory technologies and cloud-based techniques.
Labels:

Comments

  1. Nina AthenaJanuary 22, 2020 at 3:24 AM

    Thank you for sharing this piece! It is very helpful and informative. Would love to see more updates from you.

    Melbourne Web Designer

    ReplyDelete

Post a Comment

Popular posts from this blog

An introduction to AI as a Service (AIaaS) | HiTechNectar

Now that we have discussed the  SaaS ,  PaaS  and  IaaS  we will now dig a little something about the next  XaaS platform; the AIaaS. Artificial Intelligence as a Service is starting to become omnipresent in every sector. Whether it’s Healthcare, IT Service Management, Agriculture, Cloud, Call Centers and Customer Experience, Manufacturing the AI is employable in every way possible. And is being furthermore researched. AI together with Machine and Deep Learning, is resetting the limits of Industries by catering impressive automating processes, personalisation to users, disrupting digital age and defining how we work. AI as a Service is the outsourcing of Artificial Intelligence by a third party offering. This allows other organisations to take advantage of and experiment with Artificial Intelligence without more massive investments and risk. Mostly AIaaS platforms use Machine learning APIs and pipelines while delivering AI as a Service to other individuals and companies. Initi
2 comments
Read more

Google's New Launch : Flutter 1.0 | What is “Stable Cross-Platform”?

Cross-platform (CP) application development is in the limelight lately, and more so as Google announces Flutter 1.0. Many enterprises are now considering CP for developing any new product. Google finally unveiled a stable version of their cross-platform mobile app development – Flutter 1.0, Google’s UI toolkit, on 4th December 2018 at the Live event in London. Cross-Platform SDK Cross-platform development involves the use of a single codebase for creating software applications that can be deployed on multiple platforms. This is particularly put to use when companies wish to sell the same product for more than one software environment such as Windows, Android and iOS. Various advantages of using these SDKs are: Reusable code Convenience Maintainable code Cost-effective Market Reach Flutter 1.0 CP SDKs are particularly important as developing CP apps can be a total mess of non-native code. This is why Google has set out to create a CP SDK which can integrate smo
2 comments
Read more

Data analytics and AI machine learning: Know the Difference

AI has been dominating the market and news lately. AI has already been adopted by various companies and industries and has transformed the way the organizations’ function. The popularity has been increasing ever since. Product developers are now able to create products and services which until now were not within reach of the average marketing budget. But before plunging into the decision to implement AI, it is necessary to understand the differences between data analytics and AI machine learning. It is necessary to know which the best solution for your organization is. Data Analytics Data analytics includes processing of datasets on certain defined parameters to draw conclusions about required information. It empowers the decision makers by providing all the information they require at their finger-tips. This includes newsletter conversation rates, tracking of user behavior on apps and websites, click-through rates of online advertising, and much more. Read More:  https://www.
Post a Comment
Read more