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ARMA- Time Series Analysis Part 4

ARMA Time series DexLab Analytics

ARMA(p,q) model in time series forecasting is a combination of Autoregressive  Process also known as AR Process and Moving Average (MA) Process where p corresponds to the autoregressive part and q corresponds to the moving average part.


Autoregressive Process (AR) :- When the value of Yt in a time series data is regressed over its own past value then it is called an autoregressive process where p is the order of lag into consideration.


Yt = observation which we need to find out.

α1= parameter of an autoregressive model

Yt-1= observation in the previous period

ut= error term

The equation above follows the first order of autoregressive process or AR(1) and the value of p is 1. Hence the value of Yt in the period ‘t’ depends upon its previous year value and a random term.

Moving Average (MA) Process :- When the value of Yt  of order q in a time series data depends on the weighted sum of current and the q recent errors i.e. a linear combination of error terms then it is called a moving average process which can be written as :-

yt = observation which we need to find out

α= constant term

βut-q= error over the period q .

ARMA (Autoregressive Moving Average) Process :-

The above equation shows that value of Y in time period ‘t’ can be derived by taking into consideration the order of lag p which in the above case is 1 i.e. previous year’s observation and the weighted average of the error term over a period of time q which in case of the above equation is 1.

How to decide the value of p and q?

Two of the most important methods to obtain the best possible values of p and q are ACF and PACF plots.

ACF (Auto-correlation function) :- This function calculates the auto-correlation of the complete data on the basis of lagged values which when plotted helps us choose the value of q that is to be considered to find the value of Yt. In simple words how many years residual can help us predict the value of Yt can obtained with the help of ACF, if the value of correlation is above a certain point then that amount of lagged values can be used to predict Yt.

Using the stock price of tesla between the years 2012 and 2017 we can use the .acf() method in python to obtain the value of p.

.DataReader() method is used to extract the data from web.

The above graph shows that beyond the lag 350 the correlation moved towards 0 and then negative.

PACF (Partial auto-correlation function) :- Pacf helps find the direct effect of the past lag by removing the residual effect of the lags in between. Pacf helps in obtaining the value of AR where as acf helps in obtaining the value of MA i.e. q. Both the methods together can be use find the optimum value of p and q in a time series data set.

Lets check out how to apply pacf in python.

As you can see in the above graph after the second lag the line moved within the confidence band therefore the value of p will be 2.


So, with that we come to the end of the discussion on the ARMA Model. Hopefully it helped you understand the topic, for more information you can also watch the video tutorial attached down this blog. The blog is designed and prepared by Niharika Rai, Analytics Consultant, DexLab Analytics DexLab Analytics offers machine learning courses in Gurgaon. To keep on learning more, follow DexLab Analytics blog.


5 Ways Artificial Intelligence Will Impact Our Future

5 Ways Artificial Intelligence Will Impact Our Future

Artificial Intelligence, or, its more popular acronym AI is no longer a term to be read about in a sci-fi book, it is a reality that is reshaping the world by introducing us to virtual assistants, helping us be more secure by enabling us with futuristic measures. The evolution of AI has been pretty consistent and as we are busy navigating through a pandemic-ridden path towards the future, adapting to the “new normal”, and becoming increasingly reliant on technology, AI assumes a greater significance.

The AI applications which are already being implemented has resulted in a big shift, causing an apprehension that the adoption of AI technology on a larger scale would eventually lead to job cuts, whereas in reality, it would lead to the creation of new jobs across industries. Adoption of AI technology would push the demand for a workforce that is highly skilled, enrolling in an artificial intelligence course in delhi could be a timely decision.

Now that we are about to reach the end of 2020, let us take a look at the possible impacts of AI in the future.

AI will create more jobs

Yes, contrary to the popular apprehension AI would end up creating jobs in the future. However, the adoption of AI to automate tasks means yes, there would be a shift, and a job that does not need special skills will be handled by AI powered tools. Jobs that could be done without error, completed faster, with a higher level of efficiency, in short better than humans could be performed by robots. However, with that being said there would be more specialized job roles, remember AI technology is about the simulation of human intelligence, it is not the intelligence, so there would be humans in charge of carrying out the AI operated areas to monitor the work. Not just that but for developing smarter AI application and implementation there should be a skilled workforce ready, a report by World Economic Forum is indicative of that. From design to maintenance, AI specialists would be in high demand especially the developers. The fourth industrial revolution is here, industries are gearing up to build AI infrastructure, it is time to smell the coffee as by the end of 2022 there will be millions of AI jobs waiting for the right candidates.

Dangerous jobs will be handled by robots

In the future, hazardous works will be handled by robots. Now the robots are already being employed to handle heavy lifting tasks, along with handling the mundane ones that require only repetition and manual labor. Along with automating these tasks, the robot workforce can also handle the situation where human workers might sustain grave injuries. If you have been aware and interested then you already heard about the “SmokeBot”. In the future, it might be the robots who will enter the flaming buildings for assessment before their human counterparts can start their task. Manufacturing plants that deal with toxic elements need robot workers, as humans run a bigger risk when they are exposed to such chemicals. Furthermore, the nuclear plants might have a robot crew that could efficiently handle such tasks. Other areas like pipeline exploration, bomb defusing, conducting rescue operations in hostile terrain should be handled by AI robots.

Smarter healthcare facilities

 AI  implementation which has already begun would continue to transform the healthcare services. With AI being in place CT scan and MRI images could be more precise pointing out even minuscule changes that earlier went undetected. Drug development could also be another area that would see vast improvement and in a post-pandemic world, people would need to be better prepared to fight against such viruses. Real-time detection could prevent many health issues going severe and keeping a track of the health records preventive measures could be taken. One of the most crucial changes that could be revolutionary, is the personalized medication which could only be driven by AI technology. This would completely change the way healthcare functions. Now that we are seeing chat bots for handling sales queries, the future healthcare landscape might be ruled by virtual assistants specifically developed for offering assistance to the patients. There are going to be revolutionary changes in this field in the future, thereby pushing the demand for professionals skilled in deep learning for computer vision with python.

Smarter finance

We are already living in an age where we have robo advisors, this is just the beginning and the growing AI implementation would enable an even smarter analytics system that would minimize the credit risk and would allow banks and other financial institutes to minimize the risk of fraud. Smarter asset management, enhanced customer support are going to be the core features. Smarter ML algorithms would detect any and every oddity in behavior or in transactions and would help prevent any kind of fraud from happening. With analytics being in place it would be easier to predict the future trends and thereby being more efficient in servicing the customers. The introduction of personalized services is going to be another key feature to look out for.

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Retail space gets a boost

The retailers are now aiming to implement AI applications to  offer smart shopping solutions to the future buyers. Along with coming up with personalized shopping suggestions for the customers and showing them suggestions based on their shopping pattern, the retailers would also be using the AI to predict the future trends and work accordingly. Not just that but they can easily maintain the supply and demand balance with the help of AI solutions and stock up items that are going to be in demand instead of items that would not be trendy. The smarter assistants would ensure that the customer queries are being handled and they could also be helping them with shopping by providing suggestions and information. From smart marketing to smarter delivery, the future of retail would be dominated by AI as the investment in this space is gradually going up.

The future is definitely going to be impacted by the AI technology in more ways than one. So, be future ready and get yourself upskilled as it is the need of the hour, stay updated and develop the skill to move towards the AI future with confidence.


What are the Job Opportunities Available in the Field of AI?

What are the Job Opportunities Available in the Field of AI?

Artificial Intelligence or, AI is an advanced technology that is busy taking the world in its strides. With virtual assistants, face recognition, NLP, object detection, data crunching becoming familiar terms it is no wonder that this dynamic technology is being integrated into the very fabric of our society. Almost every sector is now adopting AI technology, be it running business operations or, ensuring error-free diagnosis in the healthcare domain, the exponential growth of this technology is pushing the demand for skilled AI professionals who can monitor and manage the AI operations of an organization.

Since AI is an expansive term and branches off in multiple directions, the job opportunities available in this field are also diverse. According to recent studies, AI jobs are going to be the most in-demand jobs in the near future.  Multiple job roles are available that come with specific job responsibilities. So, let’s have a look at some of these.

Machine Learning Engineer

An machine learning engineer is supposed to be one of the most in-demand jobs available in this field, the basic job of an ML engineer center round working on self-running software, and they need to work with a huge pile of data. In an organization, the machine learning engineers need to collaborate with data scientists and ensure that real-time data is being put to use for churning out accurate results. They need to work with data science models and develop algorithms that can process the data and offer insight. Mostly their job responsibility revolves around working with current machine learning frameworks and working on it to make it better. Re-training machine learning models is another significant responsibility they need to shoulder.

If recent statistics are to be believed the salary of a machine learning hovers around ₹681,881 in India.

Artificial Intelligence Engineer

AI engineers are indeed a specialized breed of professionals who are in charge of AI infrastructure and work on AI models. They work on designing models and then test and finally, they need to deploy these models. Automating functionalities is also important and most importantly they must understand the key problems that need AI solutions. AI engineers need to write programs, so they need to be familiar with several programming languages, having a background in Machine Learning Using Python could be a big help. Another important responsibility is creating smart AI algorithms for developing an AI system, as per the specific requirement that needs to be solved using that system. 

In India, an AI engineer could expect the salary to be around ₹7,86,105 per year, as per Glassdoor figures.

Data Scientist

A data scientist is going to be in charge of the data science team and need to work on the huge volumes of data to analyze and extract information, build and combine models and employ machine learning, data mining, techniques along with utilizing numerous tools including visualization tools to help an organization reach its business goals. The data scientists need to work with raw data and he needs to be in charge of automating the collection procedure and most importantly they need to process and prepare data for further analysis, and present the insight to the stakeholders.

A data scientist could earn around ₹ 7,41,962 per year in India as per the numbers found on Indeed.

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AI Architect

An AI architect needs to work with the AI architecture and assess the current status in order to ensure that the solutions are fulfilling the current requirements and would be ready to scale up to adapt to the changing set of requirements that would arise in the future. They must be familiar with the current AI framework that they need to employ to develop an AI infrastructure that is sustainable. Along with working with a large amount of data, an AI architect must be employing machine learning algorithms and posses a thorough knowledge of the product development, and suggest suitable applications and solutions.

In India an AI architect could expect to make around ₹3,567K  per year as per Glassdoor statistics is concerned.

There are so many job opportunities available in the AI domain, and here only a few job roles have been described. There are plenty more diverse job opportunities await you out there, grab those, just get artificial intelligence certification in delhi ncr and be future-ready.


How AI can change the way your workplace functions

How AI can change the way your workplace functions?

As AI is gradually being incorporated into businesses, it is only a matter of time before the workplace dynamics get completely revolutionized. Despite there being a misconception that the adoption of AI only will spell disaster for the job market but, that is far from the truth. Yes, for handling repetitive tasks that require absolutely no human intervention might be entirely handled by the AI powered robots, but, there will be a requirement for people who have undergone artificial intelligence certification in delhi ncr. As the workplaces around us gear up to include AI in their regime, employees with AI training background would prove to be invaluable assets in the days to come.

How the workplace is being transformed by AI

  • AI could streamline workplace operations right from the hiring process. Finding the right candidate for any job means wading through a huge number of candidate profiles, scanning resumes, and then scheduling interviews. AI can automate the entire process by taking care of every single segment and could also engage with candidates and do the initial screening. Using a tool like Koru helps employers match candidate profiles to the job requirement and enables them to shortlist ideal candidates in a jiffy.

  • Post hiring the onboarding process could also be handled by AI by deploying chatbots that can help the new workers integrate with the existing system. AI-powered tools are also being incorporated to train the employees and personalized training programs could be developed as a result. A case in point would be Cogito, which monitors calls and offers suggestions to the customer support department to improve their conversations.

  • The employees usually have to go through carrying out some mundane tasks. It could be scheduling meetings, preparing reports, and also looking through reports to extract relevant information. This takes away all their time and energy which they otherwise could have utilized doing something productive. The inclusion of AI can take this mundane workload off the shoulders of the employees and automate the entire process. Another benefit to consider would be to identifying areas in the workplace that needs immediate attention, as well as identifying obstacles standing in the way of getting productive. LaborWise is an excellent productivity analytics tool.

  • Security is a key factor for any organization and given the rise in cybercrime, having access to cutting edge technology can prevent such threats. AI can rise to the occasion and help to identify threats analyzing scores of data in real-time.  A great example of this would be DeepArmor, which is used for the prevention of malware. AI could easily detect anomaly which otherwise is impossible and could also explore previous datasets to identify areas that are vulnerable to such attacks. AI robots can also be used to handle hazardous work situations which could endanger a human worker.

  • Application of AI means that the organization would be empowered by cutting edge business knowledge. The accumulated data gets parsed quickly and employees get access to valuable information to devise the strategies accordingly. It saves time, it saves labor and most importantly it removes errors. The companies are quickly able to spot any changes in the pattern that needs immediate attention.

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Be it the inclusion of RPA or, some other tool, AI is making workplaces function more efficiently and the future already sounds promising. However, the bias surrounding AI needs to be tackled and most importantly employees should be encouraged to upgrade themselves by enrolling in an artificial intelligence training institute in Gurgaon.


Engineering To Data Science: What’s Causing The Professionals To Consider A Mid-Career Switch?

Engineering To Data Science: What's Causing The Professionals To Consider A Mid-Career Switch?

Among all the decisions we make in our lives, choosing the right career path seems to be the most crucial one. Except for a couple of clueless souls, most students know by the time they clear their boards what they aspire to be. A big chunk of them veer towards engineering, MBA, even pursue masters degree in academics and post completion of their studies they settle for relevant jobs. So far that used to be the happily ever after career story, but, in the last couple of years there seems to be a big paradigm shift and it is causing a stir across industries. Professionals having an engineering background, or, masters degree are opting for a mid-career switch and a majority of them are opting for the data science domain by pursuing a Data Science course. So, what’s pushing them towards DS? Let’s investigate.

What’s causing the career switch?

No matter which field someone has chosen for career, achieving stability is a common goal. However, in many fields be it engineering, or, something else the job opportunities are not unlimited yet the number of job seekers is growing every year. So, thereby one can expect to face a stiff competition grabbing a well-paid job.

There have been many layoffs in recent times especially due to the unprecedented situation the world is going through. Even before that there were reports of job cuts and certain sectors not doing well would directly impact the career of thousands. Even if we do not concentrate on the extremes, the growth prospect in most places could be limited and achieving the desired salary or, promotion oftentimes becomes impossible. This leads to not only frustration but uncertainty as well.

The demand for big data

If you haven’t been living as a hermit, then you are aware of the data explosion that impacted nearly every industry. The moment everyone understood the power of big data they started investing in research and in building a system that can handle, store and process data which is a storehouse of information. Now, who is going to process data to extract the information? And here comes the new breed of data experts, namely the data scientists, who have mastered the technology having undergone Data Science training and are able to develop models and parse through data to deliver the insights companies are looking for to make informed decisions. The data trend is pushing the boundaries and as cutting edge technologies like AI, machine learning are percolating every aspect of the industries, the demand for avant-garde courses like natural language processing course in gurgaon, is skyrocketing.

Lack of trained industry ready data science professionals

Although big data has started trending as businesses started gathering data from multiple sources, there are not many professionals available to handle the data. The trend is only gaining momentum and if you just check the top job portals such as Glassdoor, Indeed and go through the ads seeking data scientists you would immediately know how far the field has traveled. With more and more industries turning to big data, the demand for qualified data scientists is shooting up.

Why data science is being chosen as the best option?

In the 21st century data science is a field which has plethora of opportunities for the right people and this is one field which is not only growing now but is also poised to grow in future as well. The data scientist is one of the most highest paid professional in today’s job market. According to the U.S. Bureau of Labor Statistics report by the year 2026 there is a possibility of creation of 11.5 million jobs in this field.

Now take a look at the Indian context, from agriculture to aviation the demand for data scientists would continue to grow as there is a severe shortage of professionals. As per a report the salary of a data scientist could hover around ₹1,052K per annum and remember the field is growing which means there is not going to be a dearth of job opportunities or, lucrative pay packages.

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The shift

Considering all of these factors there has been a conscious shift in the mindset of the professionals, who are indeed making a beeline for institutes that offer data science certification. By doing so they hope to-

  • Access promising career opportunities
  • Achieve job satisfaction and financial stability
  • Earn more while enjoying job security
  • Work across industries and also be recruited by industry biggies
  • Gain valuable experience to be in demand for the rest of their career
  • Be a part of a domain that promises innovation and evolution instead of stagnation

Keeping in mind the growing demand for professionals and the dearth of trained personnel, premier institutes like DexLab Analytics have designed courses that are aimed to build industry-ready professionals. The best thing about such courses is that you can hail from any academic background, here you will be taught from scratch so that you can grasp the fundamentals before moving on to sophisticated modules.

Along with providing data science certification training, they also offer cutting edge courses  such as, artificial intelligence certification in delhi ncr, Machine Learning training gurgaon. Such courses enable the professionals enhance their skillset to make their mark in a world which is being dominated by big data and AI.  The faculty consists of skilled professionals who are armed with industry knowledge and hence are in a better position to shape students as per industry demands and standards.

The mid-career switch is happening and will continue to happen. There must be professionals who have the expertise to drive an organization towards the future by unlocking their data secrets. However, something must be kept in mind if you are considering a switch, you need to be ready to meet challenges,  along with knowledge of Python for data science training, you need to have a vision, a hunger and a love for data to be a successful data scientist.


Object Detection And Its Applications

Object Detection And Its Applications

When we take a look at a video or, a bunch of images we know what’s what just by taking one look, it is our innate ability that gradually developed. Well, sophisticated technologies such as object detection can do that too. It might sound futuristic but it is happening now in reality. Object detection is a technique of the AI subset computer vision that is concerned with identifying objects and defining those by placing into distinct categories such as humans, cars, animals etc.

It combines machine learning and deep learning to enable machines to identify different objects. However, image recognition and object detection these terms are often used interchangeably but, both techniques are different. Object detection could detect multiple objects in an image or, in a video. The demand for trained experts in this field is pretty high and having a background in deep learning for computer vision with python can help one build a dream career.

Object detection has found applications across industries. Let’s take a look at some of these applications.

Tracking objects

It is needless to point out that in the field of security and surveillance object detection would play an even more important role. With object tracking it would be easier to track a person in a video. Object tracking could also be used in tracking the motion of a ball during a match. In the field of traffic monitoring too object tracking plays a crucial role.

Counting the crowd

Crowd counting or people counting is another significant application of object detection. During a big festival, or, in a crowded mall this application comes in handy as it helps in dissecting the crowd and measure different groups.

Self-driving cars

Another unique application of object detection technique is definitely self-driving cars.  A self-driving car can only navigate through a street safely if it could detect all the objects such as people, other cars, road signs on the road, in order to decide what action to take.

Detecting a vehicle

In a road full of speeding vehicles object detection can help in a big way by tracking a particular vehicle and even its number plate. So, if a car gets into an accident or, breaks traffic rules then it is easier to detect that particular car using object detection model and thereby decreasing the rate of crime while enhancing security.

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Detecting anomaly

Another useful application of object detection is definitely spotting an anomaly and it has industry specific usages.  For instance, in the field of agriculture object detection helps in identifying infected crops and thereby helps the farmers take measures accordingly.  It could also help identify skin problems in healthcare.  In the manufacturing industry the object detection technique can help in detecting problematic parts really fast and thereby allow the company to take the right step.

Object detection technology has the potential to transform our world in multiple ways. However, the models still need to be developed further so that these can be applied across devices and platforms in real-time to offer cutting-edge solutions. Pursuing a Python Certification course can help develop the required skills needed for making a career in the field of machine learning.


How RPA Can Benefit Businesses?

How RPA Can Benefit Businesses?

In an era that is being significantly impacted by AI, it is but obvious that many AI-powered innovations would gradually seep through and influence the traditional work settings. RPA or, Robotic Process Automation is a key AI solution that is changing the way businesses function by automating the tasks performed by humans and increasing productivity along the way.

RPA is all about automating tasks that are mundane and repetitive, it is business process automation that automates the time consuming repetitive tasks to increase productivity and efficiency while speeding up the process and minimizing errors. Having artificial intelligence certification in delhi ncr, is vital for professionals aspiring to work in such cutting edge technology driven environment.

The benefits of RPA:

RPA, is no doubt a technology that has the power to revolutionize the way humans traditionally work. The process has certain benefits to offer, let’s find out what those are.

Cost-effective and efficient: When an organization employs bots, it can expect to cut down the cost significantly. Not just that but, the maintenance of human workers can be challenging, humans are not physically able to work beyond a set time limit. The robots can easily work long hours, they do not need breaks and are less expensive than human counterparts.

Increases productivity: When human employees are freed from their mundane activities they can put their skills to better use. They can work on clients, or, handle some other areas that require specific human skills. When the workers are entrusted with productive work they derive job satisfaction and feel motivated to focus on tasks that generate higher revenue.

Better for the environment: RPA ensures the organization follows the path of digitization which results in a reduction in the usage of papers. All the files that are to be handled are in the digital format eliminating the need to use papers.

Fewer chances of error: When humans are involved in carrying out mundane tasks, the room for error would be there too. However, once the process gets automated and handled by bots the chance of error gets eliminated and the tasks get performed more accurately and efficiently.

Improved IT: When RPA capabilities make their way into the organization one can expect a higher level of efficiency, but, the best part of RPA is that, unlike other technologies no new IT system needs to be devised, the existing system can be used by the RPA system, which saves the organization the pain of bearing the cost of substituting the existing system.

Smarter analytics: When RPA is employed there can be no more errors in the analytics. The system collects every microdata possible regarding the organization and helps the management get actionable insight. The RPA system also works great for monitoring purposes.

Seamless communication and security: RPA can ensure that all the information is updated and reaches every segment seamlessly. Earlier any change would need to be communicated by manually updating and it was less efficient, time-consuming and tiring. However, with RPA in place every tiny change made gets automatically updated and the system also keeps the data secure.

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Given the benefits offered by RPA, it is no doubt that most organizations would be eager to adopt the technology. However, the demand for professionals who are well proficient in handling AI, Big Data is also on the rise. Getting a degree from a reputed artificial intelligence training institute in Gurgaon, might help one gab the dream job in this sector.



Nasscom Report Predicts AI Could Aid India’s GDP Growth: An Overview

Nasscom Report Predicts AI Could Aid India’s GDP Growth: An Overview

The journey of AI and Data has been quite impressive and India is one of the smart countries that recognized the true potential both hold. Several industries are gearing up to adopt the AI technology to enhance their capabilities. The push for developing better models to utilize big data to derive smarter solutions is also there. The changing scenario is also gradually shaping up the future learning path of the current generation of Indians, as a significant chunk of them is steering their career towards the new pastures being created by AI. The demand for professionals trained in big data training in gurgaon, is on the rise and there is good news awaiting them.

India could envision a brighter future as a recent report from Nasscom predicts that by the year 2025, India’s GDP could expect leverage from Artificial Intelligence (AI) and data as, the combined contribution of both technologies could hover around $450-$500 billion. The report ‘Unlock Value from Data and AI: The Indian Opportunity’, is seeing this as a great opportunity that could give a boost to India’s economic growth and also aid in its recovery.

Nasscom has an action plan ready for India, it identified five key areas and it recommends that we need to put our focus on these core areas namely strategy, data, technology stack, talent, and execution. Nasscom’s report further elaborates that in the context of the current pandemic situation which is slowing down the global economy, India could assume a leadership position if it takes a holistic approach towards data utilization and AI effort.

The Nasscom report and the proposed action plan have been reviewed by the industry leaders and recommendations were sent to PM Narendra Modi. Ravi Shankar Prasad, the Minister of Law and Justice, Communications, Electronics and IT, sounded hopeful as he said that digital India helped reimagining the way the government stays connected to its citizens and AI and other technologies would push this objective further, he also said “.. In order to harness its full potential, India needs to embrace AI innovation and regulation with an open, inclusive…and a collaborative mindset,”.

There was a virtual launch of the report followed by a panel discussion where Wipro chairman Rishad Premji, opined “How do we ensure we move beyond from pilots to scalability. We do a great job in starting ideas off and getting them into pilot mode, but how do we get real scale where the magic lies and identify the challenges that lie in getting a pilot to scale,” Nasscom chairman UB Pravin Rao, seconded his view and insisted that the focus should be on execution.

The report suggested three interventions to create a ‘vibrant data economy in India’, and further recommended that high-quality data sets, data governance standards, and data marketplace need to be developed to realize the goal of creating a ‘vibrant data economy’. India needs to fortify its capabilities to position itself as a global hub and thereby open doors to investment, jobs and of course further innovation.

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The report further stresses the need to build an AI innovation ecosystem and engage the private sector and entrepreneurs to realize the goals. Debjani Ghosh, President, Nasscom, pushed the discussion further by stressing “Data and AI’s true potential emerges from its ability to drive transformation across multiple sectors through a diverse range of applications. The report articulates the key structural steps that India needs to take to realise the value of this opportunity,”

Truly India needs to work on developmental policies as per the recommendations in the report and start putting brilliant minds together to realize a smarter future driven by the combined forces of AI and data, a future that certainly belongs to us.

The blog has been sourced from:


AI Is Redefining Mobile App Technology

AI Is Redefining Mobile App Technology

Gone are the initial days of mobiles that weighed like brick. Over the last decade, mobile phones have re-emerged as Smartphones which are reshaping our lives. Whether the way we stay connected, or, carry out tasks or, say even choose to entertain ourselves, the smart devices are changing the way we function.

Today’s Smartphones are loaded with apps designed to make life hassle-free and fun for us. From gaming apps to fitness apps to shopping apps, we have apps for everything. AI technology that is now seeping through every pore of our existence is impacting the way mobile apps are made and their perfect confluence is making us hopeful for a smarter future. App developers might consider updating themselves with artificial intelligence course in delhi, to stay ahead in the game.

The leading smartphone manufacturers such as Huawei,  Apple, are implementing AI, machine learning technology in the phones to make this device future-ready.  The built-in AI in Smartphones is indeed changing the ways these smart devices function. So, how exactly AI is making the impact on mobile app technology and to which effect?

Smart cameras

Who needs to invest in a DSLR, when you have all the features necessary packed into your Smartphone camera? With smart filtering, picture enhancement capabilities being available thanks to smart AI algorithms, all you need is your phone to click that perfect shot. It no longer matters whether you are taking photos in the dark, or, the background of your subject is chaotic or, completely hideous. The smart editing features would transform your images in no time.

Smart search

Using your Smartphone to conduct a quick search on Google is something you probably do without even giving the process a single thought. Technology has advanced to a degree thanks to AI, that now instead of putting in a text query or, a voice query, you can move straight to visual search. This enhances your search experience, as sometimes you might not know the exact search term, and visual search can be a great aid for you.

Smart translations

Just imagine having Baidu on your phone, the search engine that does translation in real-time, so, having an app on your phone that does the same can be a life-changing experience for you. The available apps do the translation job well but, they do require you to have a continuous internet connection. With AI algorithms taking things further, these translations can be done in real-time without the obligation of having access to the internet.

Smart facial unlocking

 As soon as Apple introduced the world to its revolutionary face unlock feature, the other giants entered the race to make this feature available to their users. They have done a great job too, now a good Smartphone has the smart face unlock feature and this technology is an AI miracle that we are taking advantage of. Image recognition technology is moving fast and advanced research work is going to push it to another level. Now there are hand-free gestures available.  The algorithms are now smart enough to recognize a face even if its appearance has changed. Users can expect nothing but, a smooth face unlock feature that keeps their device secure.

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Smart authentication

The availability of Smartphones is leading us to execute all our tasks using the device. From mobile banking to shopping all financial activities are being conducted online, the phone also contains valuable data that is vulnerable. AI algorithms can secure the device and keep the hackers and cyber crimes at bay while keeping the user data safe. Biometric authentication reaches a new level with AI, keeping the security threats away while staying user friendly.

The future of mobile apps looks brighter as AI-enabled solutions make data security a priority while making the apps more convenient and versatile. There is a already a big demand for professionals who are proficient in AI technology, so approaching a deep learning for computer vision training center in Delhi NCR, would be a timely move for an aspiring developer.


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