Why is Cloud Computing the Future for ERP Implementations?

December 22, 2020

What is ERP?

ERP stands for Enterprise Resource Planning; but what exactly does this mean? To define ERP in the simplest way, we can think of it as a platform that integrates all the core processes of a company - finance, HR, manufacturing, supply chain, services, procurement, and others – into one system.

The modern ERP systems use the latest technologies, such as machine learning and artificial intelligence, to enhance the visibility and efficiency of each process within a business.

After implementing ERP, 49% of the companies said they improved their business processes. Only 5% said they were not able to improve their business processes.  

Introduction to Cloud-Based ERP

Cloud ERP is a Software as a Service (Saas) that lets organizations access ERP software over the internet. It has much lower overall costs than on-premise ERP installation because it cuts down the expenditure for hardware and software.

Moreover, the cloud-based ERP systems let the businesses and employees access their critical applications from anywhere and anytime. It is of great value to small and medium-sized businesses to save costs and boost productivity.

Benefits of Cloud ERP Systems

The technological world is evolving at a breakneck pace. The on-premise ERP systems often get too rigid and fail to keep up with changing business practices. That’s where cloud ERP emerges as a boon for companies of all sizes.

Here are some of the top reasons as to why business leaders should opt for cloud Saas ERP for their company:

1. Enhanced business intelligence

Cloud computing lets businesses access their data remotely without any complicated technical configuration. It also eliminates the need for robust IT staffing. Over the past couple of years, the number of companies deploying business intelligence in the cloud has increased significantly.

2. Security

Certain business leaders are skeptical about cloud security and believe that cloud encryption isn’t secure enough. The reality is, however, different from what they think. Cloud ERP software offers reliable security to businesses and their sensitive data. There is no need to worry about data getting hacked by a third party; why? Because the system tracks all the activities that take place and fully encrypts the data stored over the cloud.

3. Compatibility

A common issue faced in the case of on-premise ERP software is a lack of compatibility with other systems, especially when you upgrade them to newer versions. Cloud-based ERP comes with standard tools to facilitate integration with other technology. It helps the businesses in streaming data from other systems in their ERP to obtain a more complete, accurate, and updated view of the company’s data.

4. Scale your growth

Let us tell you a secret, scaling is a complicated science. When you are unable to grow and scale your business, you ultimately fail to keep up with your customers and competitors in the market. But that does not mean you are overspending and wasting resources on over-scaling!

Cloud-based ERP can help resolve this dilemma. You can use it to scale your ERP package to accommodate the required number of users without replacing the existing hardware or software.

An average for ROI time in a group of businesses that used ERP was just over 2.5 years. So, if you have been planning to implement ERP, this is a good number for you.

5. Continued support

The cloud-based ERPs come with 24/7 support for businesses. The cloud ERP solution providers can quickly resolve any issue that you might be facing while using it. They also ensure that the ERP is updated with the latest tools and technologies embedded in it.

Why is Cloud Computing the Future of ERPs?

The ERP market is rapidly growing, with the total market size expected to overpass $49.5 billion by 2024. With such a shift towards ERPs, businesses need to keep their systems updated.

Doing so with the help of on-premise software and hardware can be time-consuming and costly. Cloud will be the solution opted by the business leaders to keep up with the growing trends.

When you get advantages like saved costs, enhanced speed, global scaling, boosted productivity and performance, and most importantly, security, why would you not switch to cloud?

To Sum Up

ERP is the financial lifeblood of any organization. Agree with us? After all, it holds all the critical data and processes from different aspects of the business. An international survey of ERP users shows that 64% of the companies are using SaaS, 21% are using cloud ERP, and only 15% are using on-premises.

If you are still using the on-premise ERP software, it’s high time that you consider switching to the cloud. We hope this article helped you understand the growing trend of cloud computing in the ERPs and why the cloud is the future. 

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Reference Links

https://www.helpscout.com/customer-acquisition/

https://www.cloudways.com/blog/customer-acquisition-strategy-for-startups/

https://blog.hubspot.com/service/customer-acquisition

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Volumetric representations and surface representations can do the reconstruction. Powerful computer systems need to be used for reconstruction.

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  • They can be used in plastic surgery where the organs, face, limbs or any other portion of the body has been damaged and needs to be rebuilt.
  • It can be used in airport security, where concealed shapes can be used for guessing whether a person is armed or is carrying explosives or not.
  • It can also help in completing DNA sequences.

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Reference Links

https://tongtianta.site/paper/68922

https://github.com/natowi/3D-Reconstruction-with-Deep-Learning-Methods

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What is Reinforcement Learning?

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The process of Q-Learning is important for understanding the data from scratch. It involves defining the parameters, choosing the actions from the current state and also choosing the actions from the previous state and then developing a Q-table for maximizing the results or output rewards.

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Reference Links

https://analyticsindiamag.com/comprehensive-guide-to-deep-q-learning-for-data-science-enthusiasts/

https://medium.com/@jereminuerofficial/a-comprehensive-guide-to-deep-q-learning-8aeed632f52f

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What does GAUDI do?

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  • Generative modelling for 3D objects has been used for generating scenes using graf, pigan, and gsn, which incorporate a GAN (Generative Adversarial Network). The generator codes radiance fields exclusively. Using the 3D space in the scene along with the camera pose generates the 3D image from that point. This point has a density scalar and RGB value for that specific point in 3D space. This can be done from a 2D camera view. It does this by imposing 3D datasets on those 2D shots. It isolates various objects and scenes and combines them to render a new scene altogether.
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  • GAUDI also uses this to train data on a canonical coordinate system. You can compare it by looking at the trajectory of the scenes.

How is GAUDI applied to the content?

The steps of application for GAUDI have been given below:

  • Each trajectory is created, which consists of a sequence of posed images (These images are from a 3D scene) encoded into a latent representation. This representation which has a radiance field or what we refer to as the 3D scene and the camera path is created in a disentangled way. The results are interpreted as free parameters. The problem is optimized by and formulation of a reconstruction objective.
  • This simple training process is then scaled to trajectories, thousands of them creating a large number of views. The model samples the radiance fields totally from the previous distribution that the model has learned.
  • The scenes are thus synthesized by interpolation within the hidden space.
  • The scaling of 3D scenes generates many scenes that contain thousands of images. During training, there is no issue related to canonical orientation or mode collapse.
  • A novel de-noising optimization technique is used to find hidden representations that collaborate in modelling the camera poses and the radiance field to create multiple datasets with state-of-the-art performance in generating 3D scenes by building a setup that uses images and text.

To conclude, GAUDI has more capabilities and can also be used for sampling various images and video datasets. Furthermore, this will make a foray into AR (augmented reality) and VR (virtual reality). With GAUDI in hand, the sky is only the limit in the field of media creation. So, if you enjoy reading about the latest development in the field of AI and ML, then keep a tab on the blog section of the E2E Networks website.

Reference Links

https://www.researchgate.net/publication/362323995_GAUDI_A_Neural_Architect_for_Immersive_3D_Scene_Generation

https://www.technology.org/2022/07/31/gaudi-a-neural-architect-for-immersive-3d-scene-generation/ 

https://www.patentlyapple.com/2022/08/apple-has-unveiled-gaudi-a-neural-architect-for-immersive-3d-scene-generation.html

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