Cloud Servers for the Healthcare Industry

November 16, 2020

The current era will always be remembered as the era of technology. At present, technology is everywhere, and humans are reaching greater heights due to these innovations. Further, these tech gadgets are maximizing profit, boosting efficiency and productivity, and integrating into multiple professions like engineering, medical, space science, education, and a lot more.

Likewise, the role of technology in the medical sector is also booming. With technology, things are becoming easier for medical professionals as the accuracy and understanding of the human body has improved drastically. Genetic engineering, biotech, and many other tech advancements have increased human life expectancy. The newest cloud technology in healthcare is the use of cloud servers to make things easy and simple. This guide will explain the different roles and benefits of cloud servers in the healthcare industry.

What are Cloud Servers?

Cloud servers, or virtual servers, are remote servers (other servers are physical servers that require space.) operated by cloud operating companies to provide services to different users. This virtual computer is accessible to you at your home and can be accessed by you anywhere and at any time.

Different industries, like the healthcare industry, use cloud servers for different roles. In the next segment, you will know about the role of virtual/cloud servers in the healthcare industry.

Role of Cloud Servers in the Healthcare Industry

Using cloud servers in the healthcare industry is making things extremely simple for healthcare professionals. With cloud servers, they work efficiently, reduce extra cost, maximize workflow, and provide an amazing atmosphere for work. Here’s how cloud servers function in the healthcare industry: 

  • Saves tons of time
  • Saves extra expenses on infrastructure management
  • Makes daily operations easier and faster
  • Provides better facilities
  • Acts as a great storage facility for different database 
  • Provides better and advanced medical facilities
  • Improves patient management and indexing
  • Maintains various security aspects of a healthcare providing organization
  • Improves rapid data retention
  • Indexes and manages different medicines
  • Offers improved analytics and charts for a better understanding of different things
  • Reduces system downtimes

Benefits of Using Cloud Servers in the Healthcare Industry

As established earlier, cloud servers are beneficial to different sectors in multiple ways. Let us understand its different benefits in the healthcare industry in a more detailed manner: -

Used as Software as a Service (Saas)

Cloud servers can provide services like business management, customer relationship management (CRM), and on-demand hosted online service by acting as an efficient Software as a Service (SaaS) tool. These servers can also perform many other different tasks with the help of specially curated software. These software systems are designed especially for medical fields and provide different services to its users. In the future, the healthcare sector is going to witness revolutionary changes as cloud computing becomes more common, and with the advent of software for all simple needs in a hospital.

Storage of Medical Database

Hospitals or other medical/healthcare institutions have a lot of sensitive and confidential data that they need to keep safe. In fact, medical institutions also need to abide by different laws to keep the patient data and other medical records safe with them for many years. Crucial data like diagnosis, medicines are given, tests were taken, symptoms and the patient records must be kept safe within the hospital's record.

Cloud servers make this humongous and necessary task of archiving patient data easy, simple, and efficient. These days, many large institutions and medical organizations have stopped keeping records in papers and large journals, as they have a higher risk of getting damaged and torn with time. Now, they are shifting to cloud server computing for the task of keeping all the data safe and secure.

Online Medical Facilities

Many patients can't come to the hospital for health services like elderly people, small children, physically disabled persons, and others suffering from some medical problems. Another serious problem like pandemics, like the present, going COVID-19, forces humans to remain in their homes. In these situations, getting medical facilities by reaching hospitals becomes very difficult. So, online medical facilities through video calls and other network services are the only solutions and the way forward.

Cloud servers make it possible for large hospitals with several doctors to shift all their services online, enabling them to cater to the patients in tough times. Online medical service is going to be the next big thing as cloud servers are very important for all those medical institutions who are shifting towards this change.

Higher Patient Safety

Cloud computing can provide better diagnosis, quick results, and better management, which leads to increased health safety for patients. Seriously ill patients can get a quick diagnosis and test reports making it easier for doctors to treat time as early as possible in the right manner to increase the chance of recovery. Cloud servers also maintain patients' safety by keeping all databases of their medicines and other records safely for a longer time, making it easier for different persons to get their specific medical history reports for any future treatment.

Security Management

Patient security and safety are very necessary at sensitive places like hospitals. No loopholes can be entertained in this field. Security cameras, sensitive door sensors, and other technologies are very important for providing a safe and secure environment. 

Cloud servers are the best options for managing all these sensitive things. Many cloud servers with highly advanced software systems can easily manage all the CCTV cameras, video record, controlling and managing of sensors, handling all the electronic devices, and controlling and managing various alarms for different danger alerts. The cloud server is the best option for any healthcare institution that wants to increase their safety standards to the next level.

Reduces Cost

A medical institution spends a lot on different things. From providing different facilities to paying the doctors, the per annum expenses are always sky high. Apart from these expenses, other costs like management of all the medical database, storage of all database and records, security operations, ensuring patient safety, and others add up to a lot. To manage these tasks, computers and human resources are required. As a result, hiring human resources and buying computers for all the work will require a sizeable amount.  

Getting a 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 functions. Many big healthcare industries at present use cloud computing solutions to reduce their big chunks of cost and to increase the profits earned.

A Boon for Future Learners

Medical students and researchers need a lot of data on different medical situations. Similarly, researchers require access to a lot of information regarding multiple ways in which doctors and surgeons treat patients. Cloud computing makes it easier for all the scholars to receive the information in just a few clicks. Since different hospitals using cloud computing services store their data related to patients and treatment on cloud servers, it will also be very easy for research students to retrieve that particular data for their learning.

Cloud computing is going to change the future of learning in the medical sphere. It is the demand of the present and will be the necessity of the future. It will act as a boon for learning and practising for the upcoming future doctors and researchers.

Conclusion

There’s stiff competition in all fields, and to be at the top, you need to be different and better than the rest. The health sector is booming and will reach greater heights in the future as everyone needs medical services. Most people select the best healthcare service they can afford as they’re unwilling to compromise on their health (and rightly so!).

Cloud computing provides different facilities and safety standards to all the medical institutes that are uncompromisable. Many institutions are shifting towards cloud computing as they understand the demand of the present. The most prominent advantages of cloud computing involve saving a lot of money and providing amazing facilities to improve medical institutions’ working. 

Cloud computing is the need of the hour for all big corporate houses and companies and specialists in the medical sector. As a leader in the medical sector, it’s your responsibility to provide the best of medical facilities and adhere to the safety standards in your medical institution. Always remember health is the real wealth. So, get cloud computing today for your medical institution today!

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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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