SEO Careers in India : A primer

SEO Careers in India  A primer

Video Transcription :

Skills required for a successful SEO career

Right so we will be talking about careers in search engine optimization or SEO and we’ll be talking about the skills of prerequisites required,  various roles available in agencies and companies, what are your professional career options which are present and in the end ways to upskill.

one is the competitions and keyword research

which is really understanding. Why is competition on the top for certain keywords on doing the keyword researcher with respect to a category in which you are which is trying to understand what is it that people are searching for what is trending and hence what is it that we should run talk with respect to the keywords.

Next is On-Page Optimization and Off Page Optimization

Next comes the on-page optimization which is after you’ve identified the keywords you want to ensure that Google Recognizes you as for those keywords so on page optimization is all about how you implement those keywords soon to your website. Then comes off page optimization or Link building which is trying to improve the increase in number and the number of links increases the number and the quality of Link’s which you can get from outside your website but that also plays a part too with respect to Ranking.

Then is Technical SEO

And Technical SEO which is a more advanced SEO kind of activity which involves checking the overall health of your website and by that I mean including the speed up I mean range of things which that which would be included within that for example things like including your speed up a website including the data architecture including the way the layout it Could be including the usability so those are things which come under technical SEO. So these are things Which any SEO department would entail and move on to the skills keyword research is like a primary skin within for any SEO professional all the time would be spent understanding which keywords are being searched historically and one of the new keywords and understanding the search volume associated with each of those keywords or for the various geographies then is basic understanding of the backend of modern websites because end of the day. Technical SEO entails having a basic understanding of how stuff like your WordPress and Drupal all these modern content management systems, you should also be comfortable with changing the tags and the content of a website. You should be able to so actually go ahead and change things at the back end who’s available. let’s look at some actual job descriptions.

SEO Associate and Manager

Things Involved basically are on a page and off page activities. Reporting is also an important skill also.

Account Manager For SEO Campaigns

Account manager for SEO campaigns would mean that you are the face of the agency in front of the client and you try and work with a client with respect to what else can be done in the ranking of a website you are responsible recording success and for basically showing what-what is the plan for a next few months

E-Commerce SEO Manager

The first things we are working with SEO e-commerce company the environment is more aggressive the expectations that put on the table are more aggressive you need to be stronger with respect to your SEO fundamental with respect technical SEO and you need to really understand the systems on which the website is being built. Any establishes SEO professionals will tell you that for the biggest factors of ranking websites today how much they are shared on social so there is a symbiotic relationship between SEO and social media. You should be able to understand the more technical aspects of website management and tell Google what your website is all about by having right kind of information architecture.  

End-To-End Website Management Role

If would you be doing SEO for a couple of years you can fit your candidate into a role requiring managing the website on an end to end basis in end in any user company kind of scenario.

Website Analytics Roles

website analytics is a way to differentiate yourself in the market today and that hence we mention this separately.

 

Latest errors announced by Facebook in the ad metrics reporting

This video is about the two new error that have been observed in the Facebook ad metrics. It must be remembered that this is not the first time that such announcements have been made by Facebook

Ads in Facebook Instant Articles

The first thing is the instant articles bit which are the articles  where viewers can reach out to publisher content within the Facebook platform so they don’t need to actually,  go to say the Economist or the New York Times etc so that’s what instant articles are all about. So what was happening was this:Ads which are there in the instant article were being pre-loaded and that is actually going against the whole principle of paying for actual views.

Video Ads

Sometimes you don’t like what you see in the first five seconds of the video so you quickly go down  and start looking at the other stuff in your feed. What was happening was this : in a lot of cases, Facebook is saying that the video continued to play and the ad in the video also continued to play so  this is an example of misrepresentation of the views and it goes against the whole principle of paying for actual number of views.

 

Mobile Marketing case study – One Missed Call by Wheels

Video Transcription

We’re going to be discussing what we can learn from this mobile marketing case study which is actually a very good case study because this is FMCG one and typically FMCG banking and attainment these are categories which is really used mobile marketing to the hilt right so they tend to come up with the most innovative ideas when it comes to mobile marketing and this is a good case that suggests.

Let’s look at what this India’s leading laundry detergent we known for delivering more washes at a lower cost was struggling to connect in rural areas where consumers are extremely frugal and electronic media simply didn’t reach this frugality extends even to the way people in these areas use their mobile phones instead of calling someone and paying for the call if it connects the practice of giving someone a missed call has become popular use this place a call but hang up before the receiver answers displaying that number and signaling they want to call back but incurring no cost the practice is widespread and seen as a savvy way to save money this was our opportunity we linked the act of giving someone a missed call and being clever saving money that’s just one point your which is it’s interesting that how this marketing campaign try to rally around a very common use of behavior which is this it’s very common especially in the smaller towns and rural areas to give a missed call to someone to try and save money so that the other person actually calls back it’s interesting that this campaign actually tried to piggyback on this and whenever a campaign tries to piggyback on other user behavior which is which is very prevalent.

It’s always a successful one we invited consumers to give a missed call to a toll-free number the caller then received a call back from Bollywood star Salman Khan especially popular with viral masses sharing a pre-recorded joke and a message reinforcing the brand’s value proposition the recordings encourage consumers to share the number with their friends and call as many times as they liked to hear up to 30 different messages each in the language of their region and all free of charge the campaign was promoted in print on radio so a couple of things here one is you know this was this is a slightly dated case study so we are talking about a Miss call campaign and today if a brand was to have similar objectives then of whatsapp campaign is a powerful alternative to a missed call campaign because whatsapp today is very prevalent right its people from smaller towns everyone’s on whatsapp in fact whatsapp user pays even more than Facebook user base in the country.

Today if a brand that similar objectives instead of a missed call campaign it would do of whatsapp campaign so instead of saying give a give a missed call on such number. It would actually say send a whatsapp to this number because again here it’s practical of free right so so that’s one point with outbound calls and SMS is at the point of sale and true Hindustan Unilever spurring outreach programs by identifying and tapping into a local. So this is an important point also and thought we should quickly tell you that the typically mobile marketing campaigns are supplemented by a plain television, radio and similarly here also wheels the campaign was supplemented by all of these and even the local outreach relevant we both efficiently and effectively connected with consumers otherwise difficult to reach through traditional media we received over 18.2 million missed calls from over 2.6 million yes so that’s about it this was the missed call mobile marketing case study we’ll be sharing a lot more of such insight into case studies very soon thank you.

WhatsApp verified business account rolled out in India | What we know about this so far.

Video Transcription

Hi everyone so today morning I received a message on WhatsApp from to make my trip verified business account so today’s quick video is going to be what is a WhatsApp verified business account and what is this really all about.

If you go to the WhatsApp side there is a small FAQ which says that the green badge next to the contacts name confirms that this is a verified business account and WhatsApp business is currently limited to a small number of businesses participating in a pilot program so it’s interesting that this is already rolled out in India and as you can see MakeMyTrip seems to be one of the first set of users who are piloting this program.

If you go to the TechCrunch site there is a news update on this fact that WhatsApp is testing verified business accounts way back on 30th August so yes it is happening and how will businesses use it. The first use is customer service which is what happened when because I just booked a ticket on MakeMyTrip and I immediately got a message on WhatsApp from the MakeMyTrip verified the business account.

So customer service yes but what consumers are feeling that a lot of cold marketing could potentially happen on WhatsApp which could be very irritating and that’s what WhatsApp has to guard against. so a verified account would mean that their certain privileges associated with it because the WhatsApp message that was sent was sent automatically to me without me really asking for the message to be sent on whatsapp and the other bit are that there is an element of trust associated with dealing with a verified business account.
So let’s see how this pans out in the next few months we’ll all get to know more about this.
Thank you.

What’s trending in the IoT space

What’s trending in the IoT space

Internet of Things (IoT) is still a fairly new concept. According to Accenture, as recent as 2014, 87 percent of consumers were not aware about this technology. In 2016, 19 percent of government professionals and businesses admitted to never having heard of Internet of Things, while 18 percent were only vaguely familiar with the concept, according to research from the Internet of Things Institute.

The Internet of Things is preparing to transform our lives and the way we live, from they way we work to entertainment to transportation – it is gradually taking over all aspects of our lives. As this new wave of technology crawls toward mass adoption, a handful of trends have started to emerge with the space. 

Security:

Internet of Things is all about connectivity. As more and more devices get connected to each other, their network and data will get connected too. In such a situation, ensuring top-notch security of those devices will be of paramount importance for organisations within the industry.

Recruiting Remains a Challenge:

There is a vast difference between internet of things and regular internet. An average person uses internet on a daily basis and a normal college tech graduate can work for tech companies ranging from the best to the mediocre. However, companies with IoT Initiatives launching digital transformation projects including smart cities are facing a challenge.  

Finding well qualified people to secure and work for the internet of things still remains a challenge. 45 percent of IoT companies struggle to find security professionals, according to a TEKsystems survey. 30 percent report having difficulty finding digital marketers.

Consolidation is on fire: 

Under Armour is buying tons of companies. Intel Wind River purchased Arynga. AppDirect bought AppCarousel. Nokia has acquired wearables company Withings. The trend has started and acquisition in the IoT should continue through the remainder of 2017.

Data will wear the crown:

Among other things, IoT is all about data. The technology is generating tons of data, so now organisations are figuring out ways on how to monetize it. From connected cars, to connected home, to smart buildings and smart cities, every minute aspect of our lives will be affected increasing ability of businesses, governments and consumers to connect to and control everything around them.

There is a lot more than just sale:

Each category of the IoT is pushing to get devises into the market. However, the twist is that manufacturers are channeling their focus on the services that prop up those devices to enhance their businesses. To achieve this, organisations are developing service delivery platforms and ecosystems in order to get more mileage out of the devices beyond the sale.

IoT companies need places to show off their products:

App stores, marketplaces, and catalogs are the current favourites and should fill up with more devices as companies ramp up production.

Improvement in Health Sector:

With the onset of IoT, drug delivery and management will improve a lot. From supply change management of drugs to consumer safety to ‘smart pills’, there are multiple areas where IoT can obliterate fraudulent practices and improve patient lives.

While very early, the potential of sensor-driven computing is enormous. Think Google Now for
manufacturers, industrial robots and smart cities. It could be an automated world beyond our
current imagination.
John Greenough and Jonathan Camhi of BI Intelligence have put together an essential report on
the IoT after conducting months of research on these trends. The report elaborates on the current
scenario and the exciting future prospects of Internet of Things. Here are some insights that the
report gives on the future of Internet of Things:
IoT devices connected to the Internet will more than triple by 2020, from 10 billion to 34 billion.
Nearly $6 trillion will be spent on IoT solutions over the next five years.
Businesses will be the top adopter of IoT solutions because they will use IoT to –
Lower operating costs;
Increase productivity; and
Expand to new markets or develop new product offerings.
It is an exciting time to be an investor and entrepreneur in the Internet of Things and hardware
sector. From improving our homes to improving healthcare to making our jobs more efficient,
these are areas that will truly improve the quality of our lives.

Connection between DevOps and Internet of Things

DevOps

Simply put, DevOps is a firm handshake between Operations people and Developer people. It is a shift in mindset, tighter integration and better collaboration. It unites and helps development and operations teams be more efficient, innovate faster, and deliver high-value work. DevOps is a set of practices that automates the processes of software development and IT teams, in order that they can build, test, and release software faster and more reliably. The concept was founded with the intention to build a culture of collaboration between teams that historically functioned independently. It influences the way that you build systems, organise teams and even the structure of the system that you build.

Internet of Things (IoT)

It is the inter-networking of physical devices – any device with an on and off switch can be connected to the internet. It is the ability to transfer data over a network without requiring human-to-computer or human-to-human interaction.

Connection between DevOps and Internet of Things (IoT)

DevOps is more than just a buzzword — this concept has the potential to accelerate system development, ensure the quality of the systems, and optimise its reliability in the field. As the softwares for IoT advance, the management of those systems will need to advanced along with it. Updating the software will simultaneously require updating the firmware.

The connection between DevOps and IoT is not very apparent as of now. If you ask an IoT system manager where DevOps fit in, they might not be able to explain. The connection between the two concepts, though, is pretty straight forward.

When an Internet of Things application or software is tested, a DevOps systems need to consider the security around the information coming to those sensors. Simply put, these are points-of-entry that can be easily compromised. For example, somebody can hack into your account and send out misleading data. DevOps job is to minimise this exposure through security testing of the IoT application.

Continuous integration 
This ensures that Internet of Things applications and DevOps are considered a holistic application or system. The components of both these concepts are interdependent on each other including those that aren’t in your direct control like sensors embedded in machines (e.g., a jet engine). Continuous integration is a bit of a leap from traditional approached to DevOps, where all components are under direct control.

Deployment 

This is one of the most important components of IoT and DevOps. This is because the applications need to reside on a platform and work and play with remote devices. This complicates the processes of deployment, in that there could be updates to the application that lives on a centralised cloud platform, and maybe even firmware updates that inhabit on a remote sensor or device.

Take an example: think about a mobile application that operates Wi-Fi enabled closets. When the app is updated on both iOs and Android devices, they made need to push an update to the closets as part of the deployment, which assumes the firmware update is required to support the changes to the app. It is essential that all this happens at the same time. Updating just one of the two could result in system failure and beat the purpose of having an app to control closets.

While we’re still playing around with DevOps and IoT, it’s clear that the connections can be made, and we can indeed benefit from the marriage of IoT and DevOps.  Those who build IoT applications now, such as IoT software providers, already understand this connection and continue their progression toward synergy. Enterprises are new to DevOps and have yet to get on board. It’s just a matter of time until one won’t exist without the other.

Scope and Career Opportunities in Internet of Things

What is the Internet of Things?

A multi-billion dollar industry, the Internet of Things is one of the most revolutionary technology trends in our current times and is poised to explode. Basically, it is the fusion of the physical world with the real world.

To gain the ability to interact with the external environment and acquire a unique online identity, everyday objects are embedded with technology — like sensors and Wi-Fi. This infinite network of “smart” devices promises a range of benefits for businesses, individuals and society at large, including reduced waste, increased safety, and improved quality of life.

Here’s what it is – the ultimate goal of IoT is to take all things that we use in our daily lives over a network that can be easily accessed across the world over the internet. This implies that every object or gadget we use will identify with this network and information will be accessible via our laptops, smart phones, tablets and smart watches.

The Internet of Things (IoT) is the latest buzz among consumers and businesses. And going by the logic of demand and supply, there is a high demand of people with the right skill set for this market.  

Scope of Internet of Things

What IoT does is, it connects devices embedded in various systems to the internet. This connectivity helps the user take more data from more places and ascertains many ways of increasing efficiency and enhancing safety. When our devices can represent themselves digitally, they can be controlled from any part of the world.

Through IoT analytics and IoT security, organisations can improve their performance tenfolds and deliver better results. With refined tracking of devices/objects using sensors and connectivity, businesses in numerous industries can garner the benefits of Internet of Things by making informed decisions, with the support of interactional and transactional data at their fingertips.

Energy & Utilities

Companies in the energy and utility sector are among the early adopters of this technology. Improved customer services, reduced risk and increased operational efficiency are some of the benefits these organisations have gained from IoT.

Healthcare

In the healthcare industry, IoT has enabled doctors to communicate with their patients in more sophisticated ways. For instance, innovations like Patient Monitoring Systems and Pill Cameras have revolutionised the way healthcare is delivered. Additionally, wearable smart devices that track and monitor an individual’s physical activities have been well accepted by the consumer.

Industrial & Manufacturing

Industrial and Manufacturing industries are yet another industries to benefit from Internet of Things. They are able to monitor the functioning of various machinery parts and report any event of break down. With this, they are able to shield their people and assets. In addition to that, IoT also helps in assessing the attributes of the end products ensuring the established quality standards are met.

Transportation

The owners of companies in the transportation industry are able to monitor and locate their vehicles better. The ability to assign orders automatically saves them time, fuel costs and also enhances the customer experience. In future. cars are likely to become data collection hubs by delivering real-time information about traffic and more.

Public Sector

To address the problems arise in the public sector, there are various applications such as smart traffic systems, energy-efficient streetlights, garbage bins, etc. For example, smart garbage bin will notify when the bin is ready to be emptied, avoiding overflow of trash. More such applications are expected to address many of the constraining problems prevalent in crowded megacities.

Career Opportunities in Internet of Things

There are a whole bunch of new generation jobs for a new generation of technology.

An Internet of Things Solutions Architect is someone that works in the IoT space and controls the general business strategy of a company that works in this area. They coordinate the development and research teams, make high-level project decisions, and champions IoT strategies within the company.

On the engineering level, there is an increased demand for hardware and software engineers, especially in the area of IoT solutions development. Since there is an increase in demand for the right people; depending on the organisation these engineers can also expect a huge bump in their packages for their special skills.

Data scientists and data security professionals are also in huge demand. Data scientists work with huge data. They take this data and analyse it to spot trends or find important insights it might contain. As more devices become connected to the Internet, the ability for security applications to adapt and facilitate these connections also increases. This is where data security professionals come into the picture. This implies more opportunities for organisations that emphasise on security, as well as for network security professionals to find rewarding employment.

Skilled professionals with an entrepreneurial spirit can look at starting a new company with the explicit purpose of developing for the IoT. There is a significant change in how the consumer thinks about connect devices with the onset of Internet of Things. This means existing companies are vigorously finding new and enticing ways to incorporate the IoT into their own business models.

The IoT-enabled transformation has grown incredibly in the last couple of years and will continue to do so. In the near future, we were supposed to have a home full of Internet-enabled devices that would cater our every need. The Internet of Things enables innovators to think outside the box and literally reinvent the wheel, as it becomes an integral part of our lives and makes our lives more sophisticated than ever before.

Which programming language should I pick up to make a career in artificial intelligence?

Which programming language should I pick up to make a career in artificial intelligence?

Has the world of artificial intelligence got your attention? With the recent onset of some beautiful examples of AI like Siri, you know that it is possible to create such software and systems. However, depending on what the goal is, you will need a different set of knowledge to achieve it. Certain systems of AI require a higher level of AI knowledge like decision trees, logistic regression, continuous numeric prediction, etc. Other projects can be accomplished with the knowledge of programming language. Now if you’re wondering which language would be appropriate, here’s a rundown of the best options.

Python

Python is one of the widely used programming languages in the field of Artificial Intelligence thanks to its clean grammar and syntax, fluency, and nice design. The modular programming and language interoperability can seamlessly be used with the data structures and other frequently used AI algorithms. Some of the features that make Python popular for artificial intelligence programming are:

  • A bunch of testing frameworks
  • Documentation generation
  • Correct data structures
  • The balance of high-level and low-level programming

Java

Java is another great programming language to master. It is a good choice because it offers an easy way to code algorithms and algorithms are an integral part of artificial intelligence. For example search algorithms, natural language processing algorithms and neural networks. Java provides high-level features needed to work on AI projects.

Java allows scalability which is an important feature for AI. Other than that debugging ease, a good user interaction, easy work with big projects, facilitated visualisation, incorporation of Swing and SWT are some of its other prominent features. The Java community is also a plus point as there will be someone to help you with your queries and problems.

Lisp

Lisp is the first computer language used for artificial intelligence. Lisp simplifies complex programs and makes it easy to write them. It is extendable and flexible. It also boasts of features such as fast prototyping and macro utility that are useful in creating artificial intelligence systems.

Some of the features that make Lisp a popular programming language are:

  • Condition system
  • Powerful object system
  • Dynamic typing

The Lisp language is mostly used in the Machine Learning and is used in major AI projects, such as Macsyma, DART, and CYC. It’s excellent prototyping capabilities and its support for symbolic expressions is what makes Lisp a good choice for AI.

Prolog

When it comes to usefulness and usability, Prolog stands along with Lisp. Prolog is one of the programming languages for basic mechanisms that can provide flexible frameworks for artificial intelligence programming. Prolog is extensively used when programming expert systems for AI. For example, it offers pattern matching, automatic backtracking, and tree-based data structuring mechanisms.

It is an interactive symbolic language that is widely used for non-numerical programming. Apart from Artificial intelligence, in general, some of these include:

  • Natural language processing
  • Expert systems
  • Theorem proving

C++

Known as the fastest programming language in the world, C++ is extremely useful for AI projects that are time-sensitive. Its ability to talk at the hardware level enables developers to improve their program execution time. One of the programs that use C++ extensively is search engines. Games in artificial intelligence are mostly coded in this language for faster execution and response time. Other than that, it used for statistical AI techniques like the ones found in neural networks. Algorithms can also be written extensively in the C++ for speed execution

The selection of a programming language for your AI project depends on the sub-field. Before making a selection it is important to ensure that the language will be utilised extensively and not partially. From all the above-mentioned languages, Python seems to be crawling its way to the top as it is viable to use for most of the AI sub-fields.

Machine learning and AI courses have high demand

Machine learning and AI courses have high demand

In the last ten years, Artificial Intelligence has come on in a big way. It is no longer restricted to the pages of science fictions. Instead, it is a part of our everyday lives – whether it is determining our Facebook feed or correcting our wrong spellings on Google search.

Some of the biggest breakthroughs have been in machine learning. It is now all about supplying the computers with a huge amount of data and letting them learn to interpret it on their own. This is similar to a young mind encountering the world for the first time – spotting patterns and making connections between various elements. The result of this is a software that can manage a huge amount of data that can yield great insight which was too difficult for humans to process themselves. Once the data has been converted to a language that machines can understand, the scope of what they can then do with that data is unlimited.

Artificial Intelligence and Machine Learning have great potential in the current business scenario. Banks, for one, are utilising this technology to get better insights into transaction data that help them manage risk and prevent fraud. The way these algorithms work is they gather a full understanding of the user behaviour by observing millions of transactions. This helps them understand what normal looks like and any discrepancy is immediately spotted. Some of this data has been in the hands of businesses for decades, but companies didn’t know how to effectively use them, which has changed now.

This availability and use of data have changed how business is done. The data put in the machine learning systems is governed so that it can be converted into useful information for business. Here, it is important to note that the quality of the output from machine learning systems depends on the quality of data they are fed with.

One of the best examples of this is Google Translate. Over the years the more user data that has been fed into it, the better it has become at detecting grammar and correct phrases. The translation now is a lot more enhanced and coherent than compared to the earlier times.

Businesses are now catching up and experimenting with this sort of data-driven AI. Interest in machine learning is on a rise because the capability has improved and these advances coincide with a more data-savvy world. Companies are capturing and generating all sorts of data because effective use of them gives insights into behaviour that plays a key role in growth.

With the growing frequency and the apparent ubiquity of online communication & transactions, tons of data is being generated each day. It is almost impossible for humans to gauge emerging patterns from this data and gather insights. This is where Machine learning comes into play. More and more organisations are looking for people who can construct algorithms that can learn and respond to large databases and make effective predictions. As data grows in volume and becomes more complex, the applications of machine learning and artificial intelligence are becoming widespread and all pervasive. Some of the key applications include:

  • Recommender & Predictor Systems for Retail & E-Commerce
  • Predictive Techniques for Autonomous Vehicles
  • Trading Patterns & Efficiencies in Global Financial Markets
  • Fraud Prediction & Detection for Banks
  • Transportation Management & Traffic Shaping for Smart Cities

This has made machine learning the number one in-demand skill globally amongst programmers. Depending on their experience and capabilities, Machine Learning specialists usually get a substantial hike.

This constant growth in the practical application of artificial intelligence fuels high demand for machine learning engineers, data scientists, machine learning researchers, and other related professions. In addition to this, organisations operating in different verticals like voice recognition, cyber security, image recognition etc are on the look out for the right people with the skills and knowledge.

To stay on the top, companies need specialists and they need them now. Organisations cannot wait for universities to produce fresh graduates after five years. Individuals who are good at maths, physics and statistics and being picked up and trained in machine languages like Lisp, Prolog, etc.

There are multiple courses available online and other independent courses. Individuals interested can always opt for these courses if this field is something they want to work in.

What is Artificial Intelligence? – Scope and Career Opportunities

What is Artificial Intelligence? – Scope and Career Opportunities

Quoting the father of Artificial Intelligence, John McCarthy, AI is “The science and engineering of making intelligent machines, especially intelligent computer programs”.

Simply put, Artificial Intelligence is a method of making a computer or a software think intelligently – to “think” like a human would and mimic the way they would act.

AI is polished by understanding how human brain thinks, learns, decides, and works when faced with a problem. The conclusions of this study are used as a basis for developing intelligent software and systems. An ideal characteristic of an Artificial Intelligence system is its ability to rationalise and take actions that have the best chance of achieving a specific goal. The term can be applied to any software or system that has attributes that can help learn and solve problems, just like a human mind.

To simplify, some of the activities computers with artificial intelligence are designed for, include:

  • Learning
  • Planning
  • Problem solving
  • Speech/Face recognition

The objectives of artificial intelligence such as learning, reasoning, perception and machines are all wired using a cross-disciplinary approach that is based on mathematics, computer science, linguistics, psychology, and more.

To understand this better, computers that play chess, self-driving cars are examples of machines with artificial intelligence. Their functionality includes weighing the outcomes of actions they take that will impact the end result. With respect to self-driving cars, the system must consider all external data and compute it to act in a way that stops the collision.

Scope of Artificial Intelligence

The ultimate goal of artificial intelligence is to create computer programs that can solve problems and achieve goals like humans would. There is scope in developing machines in robotics, computer vision, language detection machine, game playing, expert systems, speech recognition machine and much more.

The following factors characterise a career in artificial intelligence:

  • Automation
  • Robotics
  • The use of sophisticated computer software

Individuals considering pursuing a career in this field require specific education based on the foundations of math, technology, logic and engineering perspectives. Apart from these, good communication skills (written and verbal) are imperative to convey how AI services and tools will help when employed within industry settings.

Subjects an AI candidate must study

  • Studying mathematics, especially mathematical logic is crucial when considering a career in artificial intelligence.
  • Learning about sciences, e.g. physics or biology is also helpful. Knowledge of psychology and the physiology of the nervous system is helpful with respect to biological approaches to AI.
  • Knowing programming languages like C, Lisp and Prolog will be beneficial too. Knowledge of basic machine language is a must.

Career Opportunities in AI

Game Programmer

Video games are widely loved. However, in the current scenario, games require highly intelligent enemies to keep the players challenged. This is where a software engineer or a game programmer comes into play. Companies are on the lookout for candidates who are well-educated, thorough with the basics of AI and can design games that keep the user engaged.

Robotic Scientist

Not only are robots cool, they are also gradually taking over the industrial world. This field needs engineers or programmers that can program these robots to solve problems like a human would.

Having a master’s in robotic engineers and a license from the state can help a great deal for a career in this field.

Software Engineer (Face Recognition Software)

If you’re looking for a career that helps out other humans then a career as a software engineer working on face recognition software would be apt. Many companies, including security companies, police departments, casinos, and even Google are utilising face recognition to understand the people benefiting from their service.

Search Engine Manager

One of the highest paying companies from face recognition, Google also uses AI in other interesting ways. The organisation hires people with artificial intelligence degrees to manage their massive search engine. Users search for a variety of things and Google Search should be able to predict what the users are searching for despite the spelling and grammatical errors for the searched phrase. This is where knowledge and study of artificial intelligence come into play.

Government Sector

Getting a job in the private sector can be difficult considering the intense competition and the companies seek out only the best of the best. However, the government sector too requires the help of highly skilled artificial intelligence employees to work on various projects. Apart from the salary, a job in the government sector comes with excellent benefits and retirement packages.

Artificial intelligence plays an increasingly large role in running the world around us and it continues to advance and improve the quality of life across multiple industry settings. Any individual looking for a career in this field and willing to put in the effort to gain a high level of education will be quickly accepted into this constantly growing and high paying industry.