Demystifying SDC: When, How, Why to Use

October 29, 2020

Most companies these days use cloud services (or Smart Dedicated Compute) to improve the performance of their IT services.

After all, cloud servers are used for fast processing, data storage, a relatively high level of performance, data security, privacy, and higher levels of control and efficiency. It is operated on physical hardware but managed and controlled by the cloud service providing company. Further, it saves a lot of cost while reducing the investment done in high-end devices for storage and managing them. The best part of all: it is more user-oriented and focuses on saving a lot of work.

Cloud-based servers are more efficient as they save a lot of capital required for buying physical servers and the cost spent on buying extra space for their installation. Let us look at some of the benefits of cloud-based computing.

How Do Cloud Servers Work?

In total, there are two basic types of cloud servers: the primary one is physical and the secondary one is a virtual cloud server. The virtual cloud server has multiple virtual software options with the likes of Hyper-V, Parallels, Xen, and many more.

The cloud servers consist of special software systems called virtualization software that divides a physical (bare metal) server into multiple virtual servers. Each of this virtual server is then allotted to the customer to store data and power operations through it.

Benefits of Cloud Computing

Cloud computing provides a wide range of advantages to companies. Some of these cloud computing advantages include: -

  • It processes and stores an enormous chunk of information smoothly.
  • It has all the basic features of an on-premise server.
  • It reduces the expenditure on hardware.
  • It offers different interesting services like hosting plans that can be scaled as per the users' needs.
  • It has functions that provide multiple automated services on the users’ demand through an API.
  • It also reduces the extra space needed to keep the hardware for storage.
  • It improves security and speed.
  • It provides automation and high deployment.
  • It offers various security options like antivirus software, firewalls, monitoring, and protection from host intrusion.
  • It fastens execution and makes it more effective.

What is Smart Dedicated Compute (SDC)?

As the competition increases day by day, acquiring customers and their trust is becoming even more difficult. Company services and speed play an important role in building trust and gaining more and more customers. Thus, fast and efficient processing is necessary for market competitiveness. That’s where SDC fits in.

SDC (Smart Dedicated Compute) is an ultimate cloud solution for companies to upgrade for higher speed, reliability, higher flexibility, seamless execution, and maximum optimization to improve their IT services to top-level performance. It is best suited for CPU-intensive workloads. It’s a private dedicated cloud designed for a particular company, and simultaneously provides the flexibility of a public cloud server.

Benefits of Smart Dedicated Compute (SDC)

Smart Dedicated Compute can bring an edge to your company in this cut-throat competitive world. It provides computing of higher standards at very ordinary prices that will help your business in catching the pace and growing better. Smart dedicated Compute will provide you a rich experience and give you many benefits. Some of the benefits of using Smart Dedicated Compute for your company are: -

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  • It’s highly scalable and upgrades are easily possible.
  • Your data is accessible from all around the world.
  • It offers fast service, higher security, and seamless speed.
  • Predictable and smooth performance is provided to the user with the help of dedicated pinned cores.
  • Superfast deployment time that helps in performing an array of works without any delay.
  • It is best suited for companies and businesses that have Compute Intensive Workloads.
  • It is best for those who want to be in sync with the dynamic trends in the world of technology as it provides very easy upgrades to its users.
  • The server security is of high priority and it comes up with DDOS protection at the network level. There are multiple tools for users to enhance the security of the server like Bitninja.
  • Smart dedicated Compute (SDC) will provide its user with resilience, scalability, self-service, security, and amazing performance.

When, How, and Why to Use SDC

SDC is a modern technology and there are many people wish to learn more about its usage and requirements. Some people are confused about whether they need an SDC or not. These are some factors that require an SDC.

When There is a Need for High Security

Data is precious and is an uncompromisable asset for many companies. Cyber-attacks and phishing attacks are becoming common these days. Those companies that have highly sensitive data and cannot risk losing it must opt for Smart Dedicated Compute (SDC)

Dynamic IT Infrastructure

If IT infrastructure is a priority for your company, then know that building an IT infrastructure that’s dynamic and user-oriented can be a tough job. SDC can help your company in developing and maintaining a high-end dynamic IT infrastructure with its high accessibility, customer-oriented modifications with high security and privacy. SDC, being advanced, keeps your infrastructure dynamic, and provides a user experience like that of a public server.

Time of Deployment

A company that wants quick results and a fast interface can switch to a Smart Dedicated Compute (SDC) for quicker results. Since SDC is a dedicated service and caters to your needs personally, the problem of heavy traffic mishandling fades away, and hence, you deliver quicker services. Most of the SDC has a deployment time under 1 minute specifically about 50 to 55 seconds.

Data Security

If data is a priority for your company, then Smart Dedicated Compute is the ultimate solution for your company. Smart Dedicated Compute comes up with the option of saving machine images. One single click can do wonders by saving the image of your machine and running multiple replicas of the machine. So, SDC is perfect for those companies that are secure about their data.

Features of Smart Dedicated Compute (SDC)

Easily Scalable and Highly Reliable

One of the top features of SDC is that it is very easy to scale up in terms of resources and storage. A user can easily upgrade resources whenever more compute, RAM or diskspace is required.. Dedicated pinned cores make them highly reliable.

API Service

More and more companies are switching towards automation to save a lot of time and reduce the cost spent in hiring human force to conduct different work of management. Automation is the ultimate solution to these problems. Smart Dedicated Compute provides amazing API services for automating launching, managing, and terminating machines on demand for 24*7 hours.

Indian Datacenters

Smart dedicated compute offered by E2E Cloud comes with data centres built in India. India data centres have high technology, come up with Solid Disc Drive (SSD) storage, and are more trustworthy.

Monthly/Hourly Billing

The best thing about Smart Dedicated computing is that it is a temporary service and comes with different periodical subscriptions. There is no load of its long-time usage and maintenance. You can at any time unsubscribe to the services. It comes with hourly and monthly billing that can save you a lot of money by unsubscribing during the times when there is no requirement for the services.

Superfast Deployment

One of the amazing advantages of SDC is that there is no lag in performing different types of work. SDC provides superfast deployment speeds that make the process of execution fast.

Conclusion

In old times, large physical storage devices and CPUs were used that cost a lot and their maintenance was costly. Those devices also take up large space and give slower results. As technology changes with time, cloud computing came into place.

The advent of cloud computing changed the whole scenario of the IT sector over the globe. It came as a more fast, dependent, and secure option. It provides the right amount of facilities, higher task management, and an easy and secure option for data storage. More and more companies started shifting to cloud computing over the years.

SDC is the new age technology in the field of cloud computing and is preferable for those who need personal attention. It is a dedicated computing service that caters to the needs of the user and works according to those needs. It is a safe, reliable, and fast option for anyone concerned with security, high speed, and rich user experience. If those needs sound like your needs, opt for Smart Dedicated Compute (SDC) today!

 For free trial please click here :- http://bit.ly/3hhaiJm

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This is a decorative image for Project Management for AI-ML-DL Projects
June 29, 2022

Project Management for AI-ML-DL Projects

Managing a project properly is one of the factors behind its completion and subsequent success. The same can be said for any artificial intelligence (AI)/machine learning (ML)/deep learning (DL) project. Moreover, efficient management in this segment holds even more prominence as it requires continuous testing before delivering the final product.

An efficient project manager will ensure that there is ample time from the concept to the final product so that a client’s requirements are met without any delays and issues.

How is Project Management Done For AI, ML or DL Projects?

As already established, efficient project management is of great importance in AI/ML/DL projects. So, if you are planning to move into this field as a professional, here are some tips –

  • Identifying the problem-

The first step toward managing an AI project is the identification of the problem. What are we trying to solve or what outcome do we desire? AI is a means to receive the outcome that we desire. Multiple solutions are chosen on which AI solutions are built.

  • Testing whether the solution matches the problem-

After the problem has been identified, then testing the solution is done. We try to find out whether we have chosen the right solution for the problem. At this stage, we can ideally understand how to begin with an artificial intelligence or machine learning or deep learning project. We also need to understand whether customers will pay for this solution to the problem.

AI and ML engineers test this problem-solution fit through various techniques such as the traditional lean approach or the product design sprint. These techniques help us by analysing the solution within the deadline easily.

  • Preparing the data and managing it-

If you have a stable customer base for your AI, ML or DL solutions, then begin the project by collecting data and managing it. We begin by segregating the available data into unstructured and structured forms. It is easy to do the division of data in small and medium companies. It is because the amount of data is less. However, other players who own big businesses have large amounts of data to work on. Data engineers use all the tools and techniques to organise and clean up the data.

  • Choosing the algorithm for the problem-

To keep the blog simple, we will try not to mention the technical side of AI algorithms in the content here. There are different types of algorithms which depend on the type of machine learning technique we employ. If it is the supervised learning model, then the classification helps us in labelling the project and the regression helps us predict the quantity. A data engineer can choose from any of the popular algorithms like the Naïve Bayes classification or the random forest algorithm. If the unsupervised learning model is used, then clustering algorithms are used.

  • Training the algorithm-

For training algorithms, one needs to use various AI techniques, which are done through software developed by programmers. While most of the job is done in Python, nowadays, JavaScript, Java, C++ and Julia are also used. So, a developmental team is set up at this stage. These developers make a minimum threshold that is able to generate the necessary statistics to train the algorithm.  

  • Deployment of the project-

After the project is completed, then we come to its deployment. It can either be deployed on a local server or the Cloud. So, data engineers see if the local GPU or the Cloud GPU are in order. And, then they deploy the code along with the required dashboard to view the analytics.

Final Words-

To sum it up, this is a generic overview of how a project management system should work for AI/ML/DL projects. However, a point to keep in mind here is that this is not a universal process. The particulars will alter according to a specific project. 

Reference Links:

https://www.datacamp.com/blog/how-to-manage-ai-projects-effectively

https://appinventiv.com/blog/ai-project-management/#:~:text=There%20are%20six%20steps%20that,product%20on%20the%20right%20platform.

https://www.datascience-pm.com/manage-ai-projects/

https://community.pmi.org/blog-post/70065/how-can-i-manage-complex-ai-projects-#_=_

This is a decorative image for Top 7 AI & ML start-ups in Telecom Industry in India
June 29, 2022

Top 7 AI & ML start-ups in Telecom Industry in India

With the multiple technological advancements witnessed by India as a country in the last few years, deep learning, machine learning and artificial intelligence have come across as futuristic technologies that will lead to the improved management of data hungry workloads.

 

The availability of artificial intelligence and machine learning in almost all industries today, including the telecom industry in India, has helped change the way of operational management for many existing businesses and startups that are the exclusive service providers in India.

 

In addition to that, the awareness and popularity of cloud GPU servers or other GPU cloud computing mediums have encouraged AI and ML startups in the telecom industry in India to take up their efficiency a notch higher by combining these technologies with cloud computing GPU. Let us look into the 7 AI and ML startups in the telecom industry in India 2022 below.

 

Top AI and ML Startups in Telecom Industry 

With 5G being the top priority for the majority of companies in the telecom industry in India, the importance of providing network affordability for everyone around the country has become the sole mission. Technologies like artificial intelligence and machine learning are the key digital transformation techniques that can change the way networks rotates in the country. The top startups include the following:

Wiom

Founded in 2021, Wiom is a telecom startup using various technologies like deep learning and artificial intelligence to create a blockchain-based working model for internet delivery. It is an affordable scalable model that might incorporate GPU cloud servers in the future when data flow increases. 

TechVantage

As one of the companies that are strongly driven by data and unique state-of-the-art solutions for revenue generation and cost optimization, TechVantage is a startup in the telecom industry that betters the user experiences for leading telecom heroes with improved media generation and reach, using GPU cloud online

Manthan

As one of the strongest performers is the customer analytics solutions, Manthan is a supporting startup in India in the telecom industry. It is an almost business assistant that can help with leveraging deep analytics for improved efficiency. For denser database management, NVIDIA A100 80 GB is one of their top choices. 

NetraDyne

Just as NVIDIA is known as a top GPU cloud provider, NetraDyne can be named as a telecom startup, even if not directly. It aims to use artificial intelligence and machine learning to increase road safety which is also a key concern for the telecom providers, for their field team. It assists with fleet management. 

KeyPoint Tech

This AI- and ML-driven startup is all set to combine various technologies to provide improved technology solutions for all devices and platforms. At present, they do not use any available cloud GPU servers but expect to experiment with GPU cloud computing in the future when data inflow increases.

 

Helpshift

Actively known to resolve customer communication, it is also considered to be a startup in the telecom industry as it facilitates better communication among customers for increased engagement and satisfaction. 

Facilio

An AI startup in Chennai, Facilio is a facility operation and maintenance solution that aims to improve the machine efficiency needed for network tower management, buildings, machines, etc.

 

In conclusion, the telecom industry in India is actively looking to improve the services provided to customers to ensure maximum customer satisfaction. From top-class networking solutions to better management of increasing databases using GPU cloud or other GPU online services to manage data hungry workloads efficiently, AI and MI-enabled solutions have taken the telecom industry by storm. Moreover, with the introduction of artificial intelligence and machine learning in this industry, the scope of innovation and improvement is higher than ever before.

 

 

References

https://www.inventiva.co.in/trends/telecom-startup-funding-inr-30-crore/

https://www.mygreatlearning.com/blog/top-ai-startups-in-india/

This is a decorative image for Top 7 AI Startups in Education Industry
June 29, 2022

Top 7 AI Startups in Education Industry

The evolution of the global education system is an interesting thing to watch. The way this whole sector has transformed in the past decade can make a great case study on how modern technology like artificial intelligence (AI) makes a tangible difference in human life. 

In this evolution, edtech startups have played a pivotal role. And, in this write-up, you will get a chance to learn about some of them. So, read on to explore more.

Top AI Startups in the Education Industry-

Following is a list of education startups that are making a difference in the way this sector is transforming –

  1. Miko

Miko started its operations in 2015 in Mumbai, Maharashtra. Miko has made a companion for children. This companion is a bot which is powered by AI technology. The bot is able to perform an array of functions like talking, responding, educating, providing entertainment, and also understanding a child’s requirements. Additionally, the bot can answer what the child asks. It can also carry out a guided discussion for clarifying any topic to the child. Miko bots are integrated with a companion app which allows parents to control them through their Android and iOS devices. 

  1. iNurture

iNurture was founded in 2005 in Bengaluru, Karnataka. It provides universities assistance with job-oriented UG and PG courses. It offers courses in IT, innovation, marketing leadership, business analytics, financial services, design and new media, and design. One of its popular products is KRACKiN. It is an AI-powered platform which engages students and provides employment with career guidance. 

  1. Verzeo

Verzeo started its operations in 2018 in Bengaluru, Karnataka. It is a platform based on AI and ML. It provides academic programmes involving multi-disciplinary learning that can later culminate in getting an internship. These programmes are in subjects like artificial intelligence, machine learning, digital marketing and robotics.

  1. EnglishEdge 

EnglishEdge was founded in Noida in 2012. EnglishEdge provides courses driven by AI for getting skilled in English. There are several programmes to polish your English skills through courses provided online like professional edge, conversation edge, grammar edge and professional edge. There is also a portable lab for schools using smart classes for teaching the language. 

  1. CollPoll

CollPoll was founded in 2013 in Bengaluru, Karnataka. The platform is mobile- and web-based. CollPoll helps in managing educational institutions. It helps in the management of admission, curriculum, timetable, placement, fees and other features. College or university administrators, faculty and students can share opinions, ideas and information on a central server from their Android and iOS phones.

  1. Thinkster

Thinkster was founded in 2010 in Bengaluru, Karnataka. Thinkster is a program for learning mathematics and it is based on AI. The program is specifically focused on teaching mathematics to K-12 students. Students get a personalised experience as classes are conducted in a one-on-one session with the tutors of mathematics. Teachers can give scores for daily worksheets along with personalised comments for the improvement of students. The platform uses AI to analyse students’ performance. You can access the app through Android and iOS devices.

  1. ByteLearn 

ByteLearn was founded in Noida in 2020. ByteLean is an assistant driven by artificial intelligence which helps mathematics teachers and other coaches to tutor students on its platform. It provides students attention in one-on-one sessions. ByteLearn also helps students with personalised practice sessions.

Key Highlights

  • High demand for AI-powered personalised education, adaptive learning and task automation is steering the market.
  • Several AI segments such as speech and image recognition, machine learning algorithms and natural language processing can radically enhance the learning system with automatic performance assessment, 24x7 tutoring and support and personalised lessons.
  • As per the market reports of P&S Intelligence, the worldwide AI in the education industry has a valuation of $1.1 billion as of 2019.
  • In 2030, it is projected to attain $25.7 billion, indicating a 32.9% CAGR from 2020 to 2030.

Bottom Line

Rising reliability on smart devices, huge spending on AI technologies and edtech and highly developed learning infrastructure are the primary contributors to the growth education sector has witnessed recently. Notably, artificial intelligence in the education sector will expand drastically. However, certain unmapped areas require innovations.

With experienced well-coordinated teams and engaging ideas, AI education startups can achieve great success.

Reference Links:

https://belitsoft.com/custom-elearning-development/ai-in-education/ai-in-edtech

https://www.emergenresearch.com/blog/top-10-leading-companies-in-the-artificial-intelligence-in-education-sector-market

https://xenoss.io/blog/ai-edtech-startups

https://riiid.com/en/about

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