Top Quantum Computing Applications

The shift from digital computing to quantum computing has been compared to the transition from fire to electric bulbs. With extensive advantages over the traditional computing methods, they are expected to revolutionise almost every field in terms of speed and accuracy. Let’s look at some of the most important applications of quantum computing.

Machine Learning

We don’t need to stress how artificial intelligence and machine learning has changed our lives for the better. Being one of the hottest fields to be working in right now, there have been significant increases in the applications due to the rise in chip capacity and processor power. Yet, as data availability is abundant and cheap, advancements in computational computation technology won’t keep up to the extent that it may take till the end of time to do some complex computation by the fastest computers in the world. 

Quantum computing can increase the speed manifold of computation and facilitate complex calculations in minutes. It is sure to change the field of finance and science as predictions and analyses can be made more accurately without room for error. 


Recent times have seen a significant increase in cyber-attacks around the globe, and privacy is a luxury most can’t afford in the digital age. Quantum computing can help us devise new techniques, methods and processes to make online space more secure. This has given rise to a particular branch called quantum cryptography. 

Financial Modelling

Computers have been used for decades to make intelligent decisions in the field of finance. Important financial models with a lot of data may take much valued time to arrive at a prediction. While handling money, it is imperative to be cautious and well informed of all the risks and analyse the data correctly. Quantum computing can help in financial modelling and algorithmic trading by reducing the time required drastically and with much more accuracy. 

Common Startup Mistakes to Avoid to Hit the Ground Running

If you dream about entrepreneurship and have an idea for a startup, it’s often exciting to go all-in, but that’s the reason why most of them fail. An excellent idea is not enough for a successful startup. There is a lot more to it, including business aspects, financial aspects and research of the field and the competitors. So, let’s look at some of the common mistakes to avoid for a successful startup.

  • Lack of planning

As mentioned earlier, a person with an idea is not enough for a startup to run successfully. Make sure you take enough time to analyse every aspect of the business model and have a well-planned strategy for existing competitors. 

  • Funding

This doesn’t apply if you are born into riches and can handle the operating expenses for several months on your own. But, that’s not the case for most people. To get off the ground and stay afloat, there will be a need for external funding and investors who are willing to invest in you and your business. These may include incubators, government fundings, venture capitalists, etc. 

There will also be a time where a startup has to push through to be profitable in the long term. But, in the meantime, you need to find someone or some source to cover operating and marketing expenses. 

  • No knowledge of the legalities

This is a rookie mistake and has caused the downfall of many startups with great potential. A business model won’t be simple, and some areas must be addressed legally. You can’t afford to stop operations due to legal mistakes because that will affect your brand and sales. Make sure to have covered all the legal sides of your product/service before launch.

How Is AI Revolutionising the Auto Industry?

AI has been around for only a few decades but already has changed our lives irreversibly. In the automotive sector, the change is visible as more and more autonomous vehicles are launched into the streets. From design to testing, AI has been implemented in nearly every stage of many cars’ design, development, and production. 

There have been implementations of multiple sensors into cars, giving these manufacturers access to such data. Such data can be used, analysed and studied to derive new functionalities and solve existing problems in the vehicle. For example, the existing data can be taken from cars that have been in an accident, and the sensor data can be analysed to find the problem. Such data helps to make driving more secure and vehicles a lot safer. 

Autonomous cars are well-built with provisions for quick thinking under dangerous conditions and safety manoeuvres that can help save the lives of the passengers. Not only that, there are fully automated parking facilities available around the world. These digital valets can assist you in parking unassisted without human intervention. 

AI has helped create various new models as companies analyse online social media using text mining and sentiment analysis to find their target audience, connect to them, design according to their likings and market the product to them specifically. This also allows the company to personalise each component of the car according to the user’s wishes to appeal to the general public. 

Although there have been some fantastic strides in the field, it is far from perfect. Company conveyor belts haven’t been entirely digitised yet and still need human supervision. Our autonomous cars have nearly reached Type 2 autonomy, and there’s still a lot to go. We can indeed witness some fantastic developments in the coming years from the automotive developers.

What Exactly Is 5G Technology? How Will It Transform Our World?

Increased speed for data communication is not the only result of implementing 5G all over the world. With many countries adopting 5G faster than ever, there have been many kinds of speculations around the technology and its application. In short, 5G is about to revolutionise mobile communication and various fields of science and technology all at once. So, let’s break it down, starting from the basics.

Telecom operators have been extensively building nodes throughout cities to have better-paying customers in the early stage. 5G has been deployed in many countries with an idea in mind. It is to create a fast and has coverage enough to be able to perform a multitude of tasks apart from facilitating mobile communication. 

5G is expected to be extremely useful in these three areas. They are:

  • Low latency communication
  • Massive Machine Type Communication
  • Enhanced Mobile Broadband

Once low latency communication is established, this will pave the way for advancement to many technologies in use today. Let’s take an example. Autonomous cars have reached a point where they see so much data that the processing power required for computation can be achieved only through dedicated computers at data centres. If low latency communication is established, there can be communication with hubs by each car to make informed decisions without having to analyse it themselves. 

Like traffic management, IoT can help machines automate daily vehicle congestion and pave the way for emergency vehicles. Not only that, there can be communication between cars to avoid accidents. 5G can also automate industrial processes with the help of low latency and reliable networks. 

There are also applications in AR and VR. Technicians and doctors can have long-distance communication with their clients and patients to advise through complicated procedures in real-time. Technicians can remotely see the overlay on the machine and see the faulty parts without being there physically.  The future is bright for 5G and is about to shine ever brighter.

Classic Examples of Cloud Computing that are keeping the world at our Fingertips

Cloud computing is an infrastructure that enables easy access to shared pools of storage, network, servers, and applications. It is also a software model that allows the data processing to be done on a private or third-party server cloud. It helps to create great speed and reliability. 

The most significant benefit of cloud computing is low maintenance, scalability, and easy installation. Kerala cloud computing services help through all these ways to grow with your needs. The other features of cloud computing include Optimal Server Utilization, On-Demand cloud services, Dynamic Scalability, and Virtualization Techniques. 

Now, let’s see the examples of cloud computing in the real world that makes our everyday work at our fingertips. 

Cloud Computing in Healthcare

The primary examples of cloud computing in healthcare are IBM Cloud and ClearDATA. With the help of cloud computing, all the doctors and medical professionals host the analyzed information and perform diagnostics remotely. It allows doctors to access medical data for faster prescriptions and updates globally. 

However, the healthcare application of cloud computing includes bioinformatics, E-health service, telemedicine, and public and personal healthcare. One can save on the cost through cloud computing by allowing instant large file transfer for maximum convenience. This will provide faster treatment and can update the patient’s condition through remote conferencing in seconds. 

Cloud Computing in Education

Cloud computing in education provides benefits to universities and colleges for higher learning. In COVID-19, cloud computing has helped a lot in education by providing online lectures to students. 

Google and Microsoft provide free services to the staff and students in various learning institutions for educating the students. Cloud computing services have been used in the hard times of COVID-19, and as a result, it improved efficiency and reduced costs.  The examples are Google App Education, Ratatype, SlideRocket, Amazon Web Services, and more. 

Cloud Computing for Government

The government uses cloud computing as IT consolidation, shared services, and citizen services. They deliver e-governance services to the citizen through cloud computing services. It has the technology to handle large transactions and help citizens to transfer a significant amount of money within seconds. 

Cloud Computing in Facebook, Dropbox, Gmail

Cloud computing is used as file storage, and the great advantage is it has an easy backup. It automatically synchronizes dropbox and allows the users to store files up to 1 TB with free storage of 1 TB. You get quick-to-call capabilities from social networking sites like Facebook through cloud computing and access to the instant messaging system. 

Cloud Computing in Business Process

All the emails occurring for business is cloud-based. SaaS has become an essential method for enterprises that includes Salesforce and HubSpot. The cloud service provider also includes ERP, CRM, and document management. 

Through this, many businesses’ processes are reliable and provide excellent services to their customers. This service is possible because data can be copied at multiple sites on cloud providers with the help of cloud computing. It efficiently fulfils the need for personalization. 

Cloud Computing for Big Data Analytics

Cloud computing helps data scientists analyze data patterns, insights, predictions, and help them in making correct decisions. Cassandra and Hadoop are the other open-source applications of cloud computing in big data analytics.  

As it is provided in clouds, businesses can deliver a large amount of structured and unstructured data in their possession. It helps the companies to make data integration for numerous resources easily. It provides the visualization to the companies that have implemented backup and disaster recovery solutions on the cloud. 

Hence, the above-listed examples of cloud computing make the world go at your fingertips with ease.   


Top Ways to Prevent Fraud in FinTech


Nowadays, more and more technologies are developing rapidly. So, companies can bind multiple new technologies, maximize their security, and protect their customers. Among all the industries, the Kerala FinTech industry is leading the digital transformation. 

The system has changed a lot. The change is, today all the banks provide the facility of online transaction and services through multiple channels like ATMs, mobile, tab, pos machines, smart voice assistance, and more. 

Thus, using this technology to reduce various friction functions has given rise to a whole new industry. And it is further named FinTech. It has witnessed tremendous growth in the past few years globally. The innovation in sectors such as payment gateway, e-KYC, credit scoring has also been assisted by FinTech.   

FinTech: Fraudsters Love

In the previous year, the fraud cases in the FinTech sector blew up at an eye-watering rate. Recently, 85% of financial industries have experienced fraud in the account opening process. Scammers break anti-fraud systems to steal personal information and credit card details. They use the victim’s account and online wallet to buy an existing account on the black market. 

Now, see the top ways to prevent the occurring frauds in the FinTech industry. 

  • Customer behaviour

One should monitor the behavioural patterns after tracking the habits of their clients. The changes in the patterns could be through address, duplicate card request, password reset, typical spend velocity, typical shopping time, the period between different payment locations, and more. 

One must take help of Machine Learning Algorithms as it helps to gather data that determines likely fraudulent patterns. Your system must have the technology to report the high probability of frauds via suspicious alerts like blocking the account from further transactions and more. 

  • Basic Web Safety

Your client should have all the essential security knowledge regarding your website. You can create alerts on the website that describes the following:

  • Leaving open cards: Send an alert if your client has forgotten to dismiss their card details on the website. 
  • Clicking on unknown links: If your client opens unfamiliar links, send an alert.
  • Never submit personal data: Do not trust well-known companies that ask for registration and personal data submittal in return for job offers.

Ask your customers not to post any personal information on their social handlings.  

  • Fraud Detection Technologies

You may get excellent results for identity verification through liveness detection technology. Selfie technology is developed where liveness detection requests users to authenticate real people. However, this technology does not provide 100% security to the company as the criminal copies selfies, wax figures, and other ways to get to the user account. 

Moreover, some of the clients stick to selfies rather than opting for liveness detection. But now, many people are getting back to this tool as the technology has increased client rates up to 40%. 

  • Biometric Security

It is almost the next to impossible task for a criminal to use the person’s physical identification and fool a system. Biometric is safer among all the other security options. One can leak the password or change it, but biometric stands as a barrier for fraudsters to overcome. 

Face Id and fingerprint are used as a security option to unlock and enable you to monitor all the client’s login details. You can block the unusual behavioural patterns to protect the user’s account.

  • Partner with the right company

It is essential to partner with companies having a broad base of documents and identities. Many scammers produce fake documents. Investing in cybersecurity is more important here to keep your user’s account safe. 

Hence, by combining the above listed multiple types of fraud protection, you can keep track of users’ accounts regarding safety concerns. 

Why is IoT Security really important?

The use of digitally connected devices and applications is increasing rapidly in every aspect of our lives. All the appliances are turning intelligent and advanced to harness the benefits of being connected to the internet. Everything is surrounded by the Internet of Things, from the roof of buildings and skyline to your streets. 

Moreover, walk down the roads of manufacturing plants, hospitals, malls, or an electronic store, you will be overwhelmed by the ubiquity of the connected IoT devices. As digital communication and appliances are growing, IoT has become the world of opportunities for hackers. Billions of interconnected devices share and transfer data by creating a massive background for exploiting, crafting, and tinkering these systems with their limits.

Let’s have a detailed look on the importance of IoT security. 

Importance of IoT security

The Internet of Things security is a concern as it’s on the verge of an explosion with IoT related products and services. As we know, IoT has started disrupting consumers, enterprises, and governments; it is paving the way for an analytical evolution. 

As predicted, the Internet of Things will expand widely and may benefit approximately $2 trillion economically. That is more than any other device. But here the question is, can the companies having IoT devices secure all the objects from threats.     

While IoT offers many opportunities, it will also possess significant risks in terms of security. When more and more devices get inter-connected, securing all at once becomes a considerable challenge. Companies and manufacturers need to ensure hardware, software, and connectivity to work effectively with IoT services. 

Without Internet of Things security, hackers can hack all the devices and equipment quickly. Once the system or the information get hacked, they can replace it or steal the user’s digital data. Industrialists should also take specific steps to secure their IoT without neglecting it. 

Now, let’s see the various steps to secure the Internet of Things.

How to secure IoT?

The first and foremost thing one can do is go for security by design. It is an approach to software and hardware development that helps build security initially and not after the system gets hacked. Since the IoT is connected to the internet, they are vulnerable to remote hacking. 

Mainly, three steps are taken to enhance the security and consumer privacy of the companies, thereby building trust in the IoT devices. 

  • Security by Design

Every company comprising of the Internet of Things should start with security by design. Most tech companies, firms, and startups should incorporate security into the initial design process. It adequately safeguards the safety of the consumer’s data and prevents hackers from entering the site. 

Each device should have individual and unique identities to manage its Internet of Things device well. All the other measures of IoT like firmware, sign code, and workload compliance should be built upon the top of the identity layer.  

  • Go for Data Minimization

There are specific approaches that IoT manufacturer needs to employ. To avoid security breaches, protect devices from being accessed by anyone through the internet with the help of data minimization. 

  • Increase transparency

All IoT manufacturers should provide notice to their consumers regarding the usage and sharing of the data. Then they must offer various tools that will allow the customers to make changes with a specific type of information collection and sharing. Manufacturers should also inform about their security to avoid risky behaviours while using their IoT devices. 

Hence, these were the reasons for the importance of IoT security and what should the government, manufacturers, and companies do to save them. 

Impacts of AI on Jobs in the Near Future

artificial intelligence concept design with face

As per the reports, the role of humans in the economy will shrink drastically with the increase in the adoption of Artificial Intelligence (AI) and Automation. However, now, Artificial Intelligence has not remained science fiction because it exists in the world by automating simple tasks. 

Although Artificial Intelligence improves our lives in many ways, there are notable concerns regarding its impact on human jobs. It is said that AI will wipe out millions of jobs shortly. Though this will create unemployment, it will also bring many other new opportunities for humans to sustain their lives. 

To bring more employment, the government, companies, and individuals need to understand the shift of AI before they plan for the future. The areas impacted by Artificial Intelligence are markets, business, government, education, employment models, and social welfare. 

This article will see the impacts and views of the future on the jobs amidst increasing AI capabilities. 

AI and its impact on the job

AI plays a significant role in the hiring process, so if you are hoping that the hiring manager will give you the benefits in your job, you might be in for a rude awakening. Through Automated Tracking Systems (ATS), 75% of the resumes are rejected before reaching human beings.    

Tasks are at risk. Monotonous tasks are easily automated, gradually making specific roles obsolete. It is related to customer care, call centre operation, discovery, retrieval, document classification, and content moderation, which are less based on human work and more on technology and automation. 

Moreover, in some factories and industries, humans are replaced by intelligent robots as they navigate space, move objects, or perform complex assembling operations. For those who require multiple signals, processing various movements, data stream, and accumulated knowledge in real-time, AI proves to be very effective in handling these complex activities. 

Other sectors impacted through AI

Professional drives will see a rapid drop in their skills due to changes in transportation already being in their transformation mode. With the help of Artificial Intelligence, a fully autonomous car will soon be a reality. It will be more effective, more sufficient, and safe. 

Apart from transportation, electronic commerce will also undergo a significant transformation. Robots will be navigating the space, and fulfilment centres will be fully automated. Robots will be used by Artificial Intelligence to collect products, execute customer orders, and also send or deliver the order to the customers automatically with autonomous drones or cars. 

The importance of salespersons and physical stores will also shrink. Based on different objectives, tactics, and strategies, Consumer AI agents negotiate with Retailer AI agents. Other than this, the traditional professions built through strong human relationships will also have a significant impact. 

Now, where humans manage all the specific support services in a legal context, AI agents can do a great job of document handling, classification, discovery, summarization, knowledge extraction, and management.  

AI will replace the sectors that require a significant amount of data processing and content handling. This also includes Financial Services and Insurance. Furthermore, it will substantially eliminate bureaucracy, improve citizen services, and design and perform social programs. 

All the working sectors and industries opt for these changes because Artificial Intelligence covers all the effectiveness with its algorithms. AI is proving itself to be faster, more accurate, more reliable, correct, and cheaper than the corresponding teams of humans. AI system can easily understand all the customer requests in a common language. 

Hence, as AI provides more benefits and works more effectively and accurately, an enormous impact on the job will be seen in upcoming years. 

Understand the 4 types of Data Analysis

Data analytics are crucial for the success and growth of every business, regardless of size. Kerala Data Analytics technologies are widely utilized in commercial businesses to help firms make better business choices and by scientists and researchers to validate or refute scientific models, ideas, and hypotheses.

With the immense rise in the demand for data analytics, the government of Kerala has started an initiative of the government for data analytics development. A Data Analytics Programme has been started by the Indian Institute of Information Technology and Management, Kerala.  

Four Types of Data Analytics

Descriptive Analysis

Descriptive data analysis is the initial form of data analysis. It is at the heart of all data insight. It is the most basic and widespread application of data in business today. The descriptive analysis examines previous data, which is displayed in the form of dashboards.

Diagnostic Analysis

The diagnostic analysis delves further into the descriptive analytics findings to determine the root causes of those results. This form of analytics is used by businesses because it builds more connections between data and finds patterns of activity. Creating comprehensive information is an important component of diagnostic analysis.

Predictive Analysis

Predictive analysis is the next level to descriptive and diagnostic analysis. Predictive analysis uses previously summarised data to generate reasonable predictions about the occurrences. This research is based on statistical modelling, which necessitates more technology and personnel in order to predict.

Prescriptive analysis

The prescriptive analysis is the main feature of data analysis, integrating the knowledge gained from previous analysis to decide the best course of action to follow in a current problem or choice. The prescriptive analysis makes use of cutting-edge technology and data methods. It is a significant organizational commitment and businesses must ensure that they are prepared and willing to put out the necessary time and resources.

Each form of Data Analysis is linked and, to some extent, depends on the others. They each serve a unique role and give different insights.

Top Indian Startup in the field of Blockchain Technology

Blockchain is a system that records information in a way that is impossible to change, hack, or cheat. It is a new set of network infrastructure that organizes the knowledge and value around the internet by introducing verifiability, auditability, and trust. 

As per today’s technology, Blockchain can alter all businesses and economics. It is one of the most demanded technology in the market that generates interest from businesses, startups, and the media. 

Thus, to increase more opportunities, the government of Kerala launches the Blockchain Kerala startup program. It is an initiative of the government under the Indian Institute of Information Technology and Management.

Top Indian startups in the field of Blockchain Technology

  • InstaDapp

InstaDapp is known as one of the most decentralized finance platforms based in Hyderabad, India. It felicitates app creation and promotes interoperability between multiple blockchain protocols. This will allow the developers to exploit the technology’s protocols and to start leveraging its potential.   

The company has raised $2.4 million during the funding seed round by Pantera Capita, Naval Ravikant, and Coinbase Ventures.  

  • Signzy

Signzy is a blockchain technology startup company founded in 2015 and headquartered in Bangalore. It was launched to merge AI and Blockchain to create user-friendly, compliant, and safe products. The major products of the Signzy are RealKYC, Digital Contracts, and ARI. 

Signzy has been one of the finest blockchain startups since 2015. It received over $3.6 million in Series A funding from Stellaris and Kalaari in 2018. 

  • Matic Network

Matic Network is a Bengaluru-based firm, launched with a public token sale in 2019. This company achieved sales by utilizing side chains for off-chain processing, plasma framework, and a decentralized network of proof-of-stake (PoS) to ensure asset security. 

However, through its launch, the company has raised $560,000. The single Matic sidechain process up to 65k transactions per second. 

  • CoinDCX

CoinDCX was launched in 2018 in Mumbai by Neeraj Khandelwal and Sumit Gupta. This CoinDCX blockchain technology startup provides single-point access to a diverse suite of crypto-based financial products and services backed by security processes and insurance. 

The company is leading global crypto exchanges with its proprietary aggregation models offering the highest liquidity. The best thing is, the users can buy and sell more than 100 coins with INR instantly. The other product of this platform is Lend, a credit facility that helps the user to earn interest in cryptocurrencies. 

  • KoineArth

KoineArth is a startup company started by Praphul Chandra, a professor at Insofe institute, in 2017. The main objective is to work at the crossing of the blockchains, AI, and Mechanism Design. To analyze Blockchain-enabled interactions, KoineArth provides a data pipeline and machine learning algorithms. 

The Nash platform of KoineArth presents solution frameworks customized to produce a broad assortment of real-world Blockchain by using a configurable state machine for digital assets.