6 Reasons E2E Cloud Servers Are the Right Solution for your Business

November 16, 2020

Your business needs high-end tech solutions to thrive in this competitive and dynamic world. Companies and organisations are shifting towards different technologies to remain in sync with this fast-paced and ever-changing market. Technology now is becoming an integrated part of most of the sectors in our country.

Many Indian businesses are still not using technologies like cloud servers and many more. This is a high time and need of the hour to shift from a non-technological background to the advanced stage. Your business at times like these needs cloud servers for sure. Cloud servers are the ultimate solutions for different problems faced by various businesses.

Let us find out more about why E2E cloud servers are the right solution for your business in this guide.

Role of E2E Cloud Server in the Business Industry

Cloud servers in the business industry are making things easier for everyone. They work efficiently to reduce extra costs, maximise workflow, and provide an amazing atmosphere for work. Many other critical roles of cloud servers in the business industry are: –

  • E2E servers save a lot of time.
  • E2E cloud server computing saves additional expenses on various things.
  • E2E cloud server computing makes tasks easier and quicker for your business.
  • E2E cloud server computing provides better facilities.
  • E2E cloud server computing acts as a great storage facility for different business-oriented databases.
  • E2E cloud server computing provides better and advanced business tools as SaaS.
  • E2E cloud server computing provides better management and indexing.
  • E2E cloud server computing provides better maintenance of various security aspects of a business organization.
  • E2E cloud server computing provides more rapid data retention.
  • E2E cloud server computing provides great analytics and charts for a better understanding of different things.
  • E2E cloud server computing provides quick system downtimes.

Why E2E Cloud Servers?

E2E network is India’s best cloud service provider. E2E cloud servers are the best in the market and will be the right choice for you. These servers provide root access, high security, amazing performance, faster speeds, are easy to upgrade and downgrade, which makes it a smooth and simple experience. E2E cloud servers provide many other facilities that make the experience rich and better.

The top reasons why you should go with E2E cloud servers for your business are:

Value for Money

A business spends a lot on different things. From providing different facilities to paying the various service providers, the cost spent per annum is always sky high. Apart from these expenses, other expenses like management of all the important databases, storage of all databases and records, security operations, ensuring client’s data safety, and many more things cost a lot. For managing these things, computers and human resources are required. So, hiring human resources and buying computers for all the work will require a sizable amount.

Getting an E2E cloud server for all these operations requires a lot of expenditure by reducing human resources to a bare minimum and providing a single remote computing solution for different works. At present, many businesses use E2E cloud computing solutions to reduce their big chunks of cost and to increase profits. E2E cloud services are the best value for money that your business needs at present.

Quality and Speed

A business is known for the quality products and services it offers. In this stiff competitive world, you need to deliver faster and high-quality goods and services to your customers. Switching to an E2E cloud server will help you in enhancing your execution speed by making all the developmental processes faster and smoother. Your business can provide the E2E server in a very few seconds to meet the consumer needs. Cloud computing also helps in enhancing quality and efficiency.

Remote Access of Data

Facts and figures are essential in every business, whether small or big. In other words, data is crucial, and more crucial is the access to that data at any given point in time.

Storing data in the old traditional way in the form of diaries or journals has many demerits like pages get torn, or damaged with time, and the records are not remotely accessible. Sometimes, employees and leaders of a business require access to important data out of the office. So, then, journaling cannot be a perfect match.

E2E cloud server is the perfect match to solve problems of different big and small businesses. Cloud servers can keep your data secure without any chance of it getting damaged or lost. The biggest advantage cloud server service will provide the officials having access to the cloud account can access the particular data anytime from anywhere within a span of quick seconds saving a lot of time and making things easy.

Data Backup and Security

Large businesses are mainly concerned about their two things: data and its security. In olden times, it was very challenging and cumbersome to protect all the big data files and records and secondly, data maintenance was also a huge task.

Cloud computing is making things easier for small and big businesses equally. E2E cloud server makes this task as easy as a cakewalk. Cloud E2E servers keep a time to time backup of your data for giving it an extra layer of security and have an amazing firewall system for its security. Switching to an E2E cloud server can do wonders for your data management system.

E2E cloud servers provide pure SSD

This competitive world is all about speed, results, and higher output. For your business to succeed, you require higher speed and fast processing. E2E cloud servers provide SSD storage for all your data, making the storage and usage of data super-fast and giving you an amazing service. SSD is the modern technology used to store data. It has replaced formerly used HDD (Hard Disk Drive). SSD (Solid-state Drive), being a new technology, is faster and reliable than the previously used hard disk drive and provides more storage capacity

Moving your Business Online

Technology is becoming an integrated part of different businesses. Imagining other businesses without using any sort of technology is impossible. In this competitive world, only those who adapt to the changes quickly survive. These days, the Internet has opened vast new opportunities for business. Now, not only your local area, but the whole world can become your market by using the right internet tactics. It’s no longer about the customers finding about your product. Now, you also need to reach every customer with your product.

As technology has made this world a connected small place, more and more businesses are coming online to increase their span over the area. Shifting your business online can do wonders for your business’ growth. E2E cloud servers will help your company in the best way by managing all the internet and computing requirements for an online business organization. E2E will provide better bandwidth, better services, and multiple Software as Service (SaaS) systems.

Wrapping it Up

Most businesses that prefer productivity are moving towards better technology. There is an urgent need for different business sectors to get in sync with the dynamic changes happening in the technological fields. Stiff competition in all fields means that to be at the top, you need to be different and better than the rest.

Presently, the business sector is booming and will reach greater heights in the future as several organisations cater to the various essential requirements for all people. People, these days, select those brands that provide better service and better products with better facilities, as quality and service is the top priority for many, and they do not want any carelessness when it comes to quality and service.

Cloud computing solutions like E2E provide different facilities and safety standards to all the business organisations that are uncompromisable in the present competitive world. Many business institutions are shifting towards cloud computing as they understand the demand of the present.

Cloud computing saves a lot of money and provides amazing facilities that help a business institution to perform better in all respects. Cloud computing is the need of the hour for all big corporate houses and companies and specialists in the business sector.

As a tech business leader, it is your responsibility to provide the best services and products to your customers. So, get E2E cloud computing to be and give the best for your business today!

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A Complete Guide To Customer Acquisition For Startups

Any business is enlivened by its customers. Therefore, a strategy to constantly bring in new clients is an ongoing requirement. In this regard, having a proper customer acquisition strategy can be of great importance.

So, if you are just starting your business, or planning to expand it, read on to learn more about this concept.

The problem with customer acquisition

As an organization, when working in a diverse and competitive market like India, you need to have a well-defined customer acquisition strategy to attain success. However, this is where most startups struggle. Now, you may have a great product or service, but if you are not in the right place targeting the right demographic, you are not likely to get the results you want.

To resolve this, typically, companies invest, but if that is not channelized properly, it will be futile.

So, the best way out of this dilemma is to have a clear customer acquisition strategy in place.

How can you create the ideal customer acquisition strategy for your business?

  • Define what your goals are

You need to define your goals so that you can meet the revenue expectations you have for the current fiscal year. You need to find a value for the metrics –

  • MRR – Monthly recurring revenue, which tells you all the income that can be generated from all your income channels.
  • CLV – Customer lifetime value tells you how much a customer is willing to spend on your business during your mutual relationship duration.  
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All these metrics tell you how well you will be able to grow your business and revenue.

  • Identify your ideal customers

You need to understand who your current customers are and who your target customers are. Once you are aware of your customer base, you can focus your energies in that direction and get the maximum sale of your products or services. You can also understand what your customers require through various analytics and markers and address them to leverage your products/services towards them.

  • Choose your channels for customer acquisition

How will you acquire customers who will eventually tell at what scale and at what rate you need to expand your business? You could market and sell your products on social media channels like Instagram, Facebook and YouTube, or invest in paid marketing like Google Ads. You need to develop a unique strategy for each of these channels. 

  • Communicate with your customers

If you know exactly what your customers have in mind, then you will be able to develop your customer strategy with a clear perspective in mind. You can do it through surveys or customer opinion forms, email contact forms, blog posts and social media posts. After that, you just need to measure the analytics, clearly understand the insights, and improve your strategy accordingly.

Combining these strategies with your long-term business plan will bring results. However, there will be challenges on the way, where you need to adapt as per the requirements to make the most of it. At the same time, introducing new technologies like AI and ML can also solve such issues easily. To learn more about the use of AI and ML and how they are transforming businesses, keep referring to the blog section of E2E Networks.

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The Main Objective of the 3D Object Reconstruction

Developing this deep learning technology aims to infer the shape of 3D objects from 2D images. So, to conduct the experiment, you need the following:

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By using the apparatus and datasets, you will be able to proceed with the 3D reconstruction from 2D datasets.

State-of-the-art Technology Used by the Datasets for the Reconstruction of 3D Objects

The technology used for this purpose needs to stick to the following parameters:

  • Input

Training with the help of one or multiple RGB images, where the segmentation of the 3D ground truth needs to be done. It could be one image, multiple images or even a video stream.

The testing will also be done on the same parameters, which will also help to create a uniform, cluttered background, or both.

  • Output

The volumetric output will be done in both high and low resolution, and the surface output will be generated through parameterisation, template deformation and point cloud. Moreover, the direct and intermediate outputs will be calculated this way.

  • Network architecture used

The architecture used in training is 3D-VAE-GAN, which has an encoder and a decoder, with TL-Net and conditional GAN. At the same time, the testing architecture is 3D-VAE, which has an encoder and a decoder.

  • Training used

The degree of supervision used in 2D vs 3D supervision, weak supervision along with loss functions have to be included in this system. The training procedure is adversarial training with joint 2D and 3D embeddings. Also, the network architecture is extremely important for the speed and processing quality of the output images.

  • Practical applications and use cases

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

Given below are some of the places where 3D Object Reconstruction Deep Learning Systems are used:

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  • It can be used for re-modelling ruins at ancient architectural sites. The rubble or the debris stubs of structures can be used to recreate the entire building structure and get an idea of how it looked in the past.
  • 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.

So, if you are planning to implement this technology, then you can rent the required infrastructure from E2E Networks and avoid investing in it. And if you plan to learn more about such topics, then keep a tab on the blog section of the website

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A Comprehensive Guide To Deep Q-Learning For Data Science Enthusiasts

For all data science enthusiasts who would love to dig deep, we have composed a write-up about Q-Learning specifically for you all. Deep Q-Learning and Reinforcement learning (RL) are extremely popular these days. These two data science methodologies use Python libraries like TensorFlow 2 and openAI’s Gym environment.

So, read on to know more.

What is Deep Q-Learning?

Deep Q-Learning utilizes the principles of Q-learning, but instead of using the Q-table, it uses the neural network. The algorithm of deep Q-Learning uses the states as input and the optimal Q-value of every action possible as the output. The agent gathers and stores all the previous experiences in the memory of the trained tuple in the following order:

State> Next state> Action> Reward

The neural network training stability increases using a random batch of previous data by using the experience replay. Experience replay also means the previous experiences stocking, and the target network uses it for training and calculation of the Q-network and the predicted Q-Value. This neural network uses openAI Gym, which is provided by taxi-v3 environments.

Now, any understanding of Deep Q-Learning   is incomplete without talking about Reinforcement Learning.

What is Reinforcement Learning?

Reinforcement is a subsection of ML. This part of ML is related to the action in which an environmental agent participates in a reward-based system and uses Reinforcement Learning to maximize the rewards. Reinforcement Learning is a different technique from unsupervised learning or supervised learning because it does not require a supervised input/output pair. The number of corrections is also less, so it is a highly efficient technique.

Now, the understanding of reinforcement learning is incomplete without knowing about Markov Decision Process (MDP). MDP is involved with each state that has been presented in the results of the environment, derived from the state previously there. The information which composes both states is gathered and transferred to the decision process. The task of the chosen agent is to maximize the awards. The MDP optimizes the actions and helps construct the optimal policy.

For developing the MDP, you need to follow the Q-Learning Algorithm, which is an extremely important part of data science and machine learning.

What is Q-Learning Algorithm?

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.

The 4 steps that are involved in Q-Learning:

  1. Initializing parameters – The RL (reinforcement learning) model learns the set of actions that the agent requires in the state, environment and time.
  2. Identifying current state – The model stores the prior records for optimal action definition for maximizing the results. For acting in the present state, the state needs to be identified and perform an action combination for it.
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In case the Q-table size is huge, then the generation of the model is a time-consuming process. This situation requires Deep Q-learning.

Hopefully, this write-up has provided an outline of Deep Q-Learning and its related concepts. If you wish to learn more about such topics, then keep a tab on the blog section of the E2E Networks website.

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GAUDI: A Neural Architect for Immersive 3D Scene Generation

The evolution of artificial intelligence in the past decade has been staggering, and now the focus is shifting towards AI and ML systems to understand and generate 3D spaces. As a result, there has been extensive research on manipulating 3D generative models. In this regard, Apple’s AI and ML scientists have developed GAUDI, a method specifically for this job.

An introduction to GAUDI

The GAUDI 3D immersive technique founders named it after the famous architect Antoni Gaudi. This AI model takes the help of a camera pose decoder, which enables it to guess the possible camera angles of a scene. Hence, the decoder then makes it possible to predict the 3D canvas from almost every angle.

What does GAUDI do?

GAUDI can perform multiple functions –

  • The extensions of these generative models have a tremendous effect on ML and computer vision. Pragmatically, such models are highly useful. They are applied in model-based reinforcement learning and planning world models, SLAM is s, or 3D content creation.
  • 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.

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