Role of Artificial Intelligence in the rise of Edtech

May 5, 2022

Is it true that new technological advancements can help in the boom of education? Is AI capable of automating and revolutionizing conventional methods for cultivating more engaging educational systems? What marvels does AI contain, and how has AI created a charismatic value to the Edtech industry?

Table of Content-

  1. Overview
  1. Edtech: A scaling Industry
  1. Artificial Intelligence (AI) role in Edtech
  1. How AI nurtures students with special needs
  1. Conclusion

Overview: 

Education technology (EdTech) implies gear and software that is used to educate children on a virtual level to improve classroom learning and augment student results. By leveraging technology for learning and teaching, EdTech platforms assist students in overcoming impediments and attaining comprehensive education. 

Moreover, Artificial Intelligence (AI) has aided in the expansion of Edtech by personalizing and streamlining tasks. Over the last decade, AI has evolved to play a massive role in education, both for teachers and students. 

Not only private institutions but even governments are recognizing the importance of AI. For example, The New Education Policy 2020, has also given the Edtech sector a boost by underlining the significance of AI. One of the major ideas in navigating the education system, according to the Policy, will be the wide use of AI in the disposal of linguistic barriers, in heightening the access, in education planning and management, as well as in both teaching and learning,

The Policy concedes and promotes the necessity to adapt to changes that AI has developed and it has tasked the NETF (National Education Technology Forum ) with identifying and categorizing the potential of AI and other technological advancements in the education industry and providing a quarterly analysis to the MHRD.

Edtech: A scaling Industry

EdTech has quickly become one of the most important areas, thanks to fast digitalization. The industry's amazing expansion has captivated massive amounts of investment and capital from all over the world.

The global education technology market was valued at USD 106.46 billion in 2021, with a compound annual growth rate (CAGR) of 16.5 per cent predicted from 2022 to 2030.

From smart classrooms to individualized coaching apps, Edtech is rapidly stretching its wings and earning recognition globally. Billions of dollars are being invested in the creation of EdTech software, with the United States, China, and India receiving the greatest funding.

According to Statista, the Indian Edtech industry is US$2.8 billion in value, and by 2025 it is expected to reach US$10.4 billion. At present, there are 9,043 EdTech startups in India and the number is continuously growing. Factors like India's booming internet economy – which has a total of 850 million(61% of the total population) internet subscribers – encourage this expansion.

Artificial Intelligence (AI) role in Edtech:

The regular learning strategy is to listen, memorize, test, and repeat. It's factory-oriented and insufficient. It's not a peculiar approach to consenting cognition. Aligning today's learning with future issues necessitates visionary teaching and learning methodologies. That's exactly what AI is enabling institutions to carve.

Adaptive and Personalized learning- 

When EdTech is commixed with artificial intelligence, an adaptive learning platform can be generated. To put it another way, the platform can trace each student's progress, skills, and knowledge rifts. 

With this data, the platforms can provide each student with incredible and individual practice, ensuring that their learning is optimized. 

Platforms can gauge and provide propositions based on assorted inputs from students; they are more comparable to "intelligent tutoring systems." AI may alter each student's knowledge level, learning speed, intended goals, learning histories, and a variety of other factors. 

As a result, frailties are identified, as well as course recommendations for growth, resulting in a highly individualized learning experience.

Quick responses- 

In the opening, we talked about how a dearth of regular help deepens the academic trammels of students. Well not anymore, as AI businesses have made gains in inquiry resolution using chatbots or technology, students can simply upload a picture of their problem and can get the easiest solution. 

The AI tools validate the situation and generate a solution. This abolishes the need for teachers and the reliance on them. Additionally, this provides learners with a space for involvement that is available 24×7, cutting down on the time it takes to discover answers while retaining the learning process.

AI benefits Educators-

One of the most basic AI applications has been to automate teachers' "operational" tasks. The majority of educators inscribe more than half of their time grading assignments, completing paperwork, preparing progress reports, organizing materials and resources for courses, and managing teaching material and infinity.

Artificial Intelligence can intervene in many of these duties to manage them efficiently for the educator, letting the teacher focus on higher-order tasks like teaching and assisting students. Hence, both students and teachers can be more productive.

Reliable Content-

It is most factual to argue that automation and education are inextricably linked. As a result, intelligent and dependable content created using AI has been able to reach every school setting. Students study better and have more efficient sessions when traditional books are converted into digital automated learning modules. For example, AI-assisted learning systems can determine if a student needs to repeat a lesson or go on.

Global Exposure-

Education knows no bounds, and there are several concepts to learn from all over the world. In reality, Edtech's AI and automation have facilitated students to learn from a wide choice of courses available across borders, regardless of their timezone. Above all, global learning empowers students to widen their horizons by enabling them to learn from anywhere, at any time.

How AI nurtures students with special needs:

AI also has a role in improving the lives of students with special needs. Owing to the text states, a student with a mental handicap can readily perceive the world around him. What seems to be a difficult message to read turns out to be straightforward text. Things that were once impossible or implausible for them are now routinely handy to them. 

Students with impairments can now enter a world where their constraints are understood and taken into account, thanks to artificial intelligence. With artificial intelligence accessibility, technology adapts and helps transform the world into a more inclusive one. There is a sense of equality, as AI places everyone on an equal footing, with or without handicap.

For students who are blind or visually impaired- 

VoiceOver is a screen reader that is built into iPhones. Although its primary function is to enunciate any email or text message, VoiceOver also uses artificial intelligence to describe app icons, battery levels, and even partial photos. For Android smartphones, there's TalkBack, which is similar to VoiceOver. It allows students to get the most out of their digital devices. 

Siri is the virtual assistant on the iPhone. Voice control allows visually impaired students to simply verbalize their requests, such as conducting a Google search, writing an article, or dictating a text message to a buddy. Students with vision impairments can utilize Siri to communicate with others.

For students who are deaf or hard of hearing-

Ava is an instant transcription tool that employs artificial intelligence to instantly transcribe a group of people's discussion. Its algorithm incorporates punctuation, the speaker's name, and relevant words from the user's dictionary. 

A simple technique for those with hearing impairments to participate in and follow a conversation with multiple people without having to lip-read. RogerVoice is a French group discussion transcription tool similar to Ava that is accessible in 90 languages. It functions similarly to Ava.

Apart from these tools, the failure to provide constant feedback is one of the most significant challenges in teaching students with learning disabilities. It can be difficult to slow down in a large classroom to assist a small group of children. With artificial intelligence's quick growth, students will be able to receive more reliable feedback that is directly related to their performance. Students will not be able to go on until they have demonstrated mastery of the idea, and they will be able to work at their own pace if necessary.

Conclusion-

Seeing the development in the current education system, we all can agree that the future of education i.e. Edtech is a blessing for the generations to come. Edtech guarantees the most effective and efficient knowledge by allowing the learning experience to extend far and wide. AI in the education business has ensured better learning experiences in the future by ensuring time management, customization, and much more.

Latest Blogs
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

Build on the most powerful infrastructure cloud

A vector illustration of a tech city using latest cloud technologies & infrastructure