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Tag: Artificial Intelligence Training

Why Should You Learn Python For Data Analytics and Artificial Intelligence?

Posted on by Imarticus Learning

2022 has seen a huge increase in both the number of data science applicants and also future aspirants all around the world. In India alone, LinkedIn, the global job search leader, announced a 25% spike in data science professionals as compared to 2021, and that is a huge number by a number of standards.

But one of the most common questions that ponders the mind of data science aspirants most often is why they should learn Python to get an edge in this profession?

Thus if you are planning for a career in data analytics and artificial intelligence in the future, and too have this question in your mind, in this article, we will answer exactly that.

Let’s get started.

Why Is Python Important for Data Science?

At the present moment, there are more than 35 different programming languages that are actively used by developers and coders all around the world. But among all of these, Python is undeniably one of the most versatile and well equipped, especially in the field of data science.

The reason behind this is simple; if you take a look at some of the most common tasks that are executed by a data scientist on an everyday basis, starting from data extraction and ELT (Extraction, Loading, and Transformation) all of them require a solid knowledge of Python coding and operation.

Along with this, another important reason why Python is so often relied upon as the go-to programming language for data science professionals is the fact that it comes with a suite of different packages, starting from SciPy, NumPy and pandas, which make complicated and time-consuming tasks easier, more efficient and effortless.

For instance, Matplotlib, which is one of the leading Python packages, is often used by data science professionals when they want to include visualizations or any sort of graphics in their simulations.

If all of this is not enough good reason, as to why you should learn Python

Learn Python ProgrammingTo get an edge for your career in artificial intelligence, here are some of the biggest advantages of the standalone programming language in itself.

Advantages of Python

Easy to Learn

If you are a beginner at coding and you are looking for a programming language that is easy and fast to learn, then Python should be your choice.

The programming language has been around since the late 1980s and has thus undergone several developments and improvements in the last couple of years, which has made the current version extremely user and beginner friendly to learn and execute.

Since data science is such a fast-paced career, where developments are literally happening overnight, the need for a language that is easy and fast to learn is a no-brainer, thus making Python one of the most obvious choices.

Scalable

When you would have spent a considerable amount of time coding, one of the first things you will realize is the fact that Python as a programming language is immensely scalable. Compared to programming languages like Matlab and Stata, which are industry leaders in their own might, Python makes it very simple and straightforward for anyone to scale. The language comes inbuilt with a suite of features that allows you to have multiple approaches and perspectives to solve the same problem, along with having a wide range of flexibility to try out new things as and when they are developed.

Learn Python ProgrammingThe scalability aspect of Python is the second reason why companies prefer their data science professionals to know Python. Scalability is immensely important in both data science and artificial intelligence, mainly because of the fact that new discoveries are being made on the regular.

Conclusion

Thus, if you want to give your career in data science an edge, now is the time to start enrolling for an Artificial Intelligence Training that comes packed with a course in Python.

We offer analytics and artificial intelligence courses at our centers in Mumbai, Thane, Pune, Jaipur, Delhi, Gurgaon and Bangalore.

AI, Data Science, Machine Learning Terms You Need to Know in 2022!

Posted on by Imarticus Learning

In the present paradigm of technical knowledge, it is imperative to be aware of certain concepts to survive and thrive. Whether you are pursuing a career in artificial intelligence (AI), have a cursory interest in data analytics, or simply wish to broaden your horizons, here are some artificial intelligence, data science, and machine learning terms you need to know in 2021. Read on…

  1.     Natural language processing: 

Both humans and computational devices use their own modes of language to communicate and share ideas to the extent of imparting and debating on the information. The languages, however, are different in their basic forms and formats. Using natural language processing, or NLP, artificial intelligence can decipher many human languages to suit specific functions that may range from the academic study of linguistics to providing utility to hearing-impaired people.

  1.   Data warehouse: 

A data warehouse, as the name suggests, contains a large ensemble of data pertaining to businesses and learnings from past successes and failures to provide better services. One who is not entirely proficient in data architecture may yet take the advantage of data warehouses to gather business analytics courses and make far better decisions. This method allows one to find new ways to process old data and change future iterations of that data with his/her actions. 

Career In Data Analytics   Data journalism: 

This is a mode of journalism that is slowly gaining greater prominence and is proving its necessity in combating the ever-growing trend of fake news. In this form of news reporting, one focuses on proving his/her assertions through the collection and presentation of reliable data. This may be done through human and/or AI collection and calculations. Soon, we may be able to have a collated base of data obtained through AI learning. This will make it very hard for individuals and/or groups to spread misinformation.

  1.   Deep learning:

This uses artificial intelligence to construct structures that mimic the human neural network – starting from simple problems to finding layers of hidden information. Meanwhile, it makes errors and learns from them with the program often ending up with a different solution than what was expected by its programmers and set parameters. Using this process, we can identify and solve possibly any real-world problem. The degree of human supervision in this process can be ascertained at various levels of this process.

  1.   Cybersecurity: 

Both defenders and attackers of databases are getting smarter, escalating the never-ending battles between cybersecurity and hackers. Often, the strategies used by either group are similar to the point of being indistinguishable. Here, any large organization employs AI and/or deep learning to be one step ahead of the threats that plague them.

The above-mentioned terms are only the tip of the iceberg when it comes to talking about new technology-related topics. Hopefully, they have provided you with new avenues to look into as per your interests, or at least recapitulated some of the basic terminologies.

Artificial Intelligence skilling has to start from a young age! How? Explore…

Posted on by Imarticus Learning

The chasm between machines and living things is shrinking. Artificial intelligence (AI) is deeply rooted in all aspects of technology, from robots to social networks. India has the potential to skyrocket in the domain of Artificial Intelligence and surpass USA and China, largely owing to:

  • It’s deep-rooted IT &ITeS infrastructure
  • Innovation ( India ranked among the top 50 countries in the Global Innovations Index 2020)
  • Accessibility to large datasets

These have pioneered more than a handful of start-ups and private investments in this sector. For AI to flourish further, there needs to be a nationwide upskilling of the younger generation in Artificial Intelligence Training. The GenZ needs to be acquainted with the theoretical and practical aspects of AI application to increase its scope of innovation and entrepreneurship.

Artificial Intelligence CareerIn the future, the interaction between humans and AI will define in a lot of ways the structure and functioning of a modern-tech society.

Thus it becomes imperative to lay down the basis of friendship for the years to come by exposing the young ones to AI.

While a lot of minds will wander to an Artificial Intelligence Career it is also important that others are no less familiar with the upsides and downsides of such a powerful technology.

Here is how we can ensure the frontiers of the same:

  • Introduce young people to the concepts of AI and machine learning through education curriculum. In India, the Central Board of Secondary Education (CBSE) announced the integration of AI in partnership with IBM for the academic year 2020-21
  • Encourage learning through hands-on projects so that student can make better, informed and critical use of these technologies
  • Enrolling young minds on various Edu-tech platforms specializing in the field of Machine Learning and AI which help them gauge interest and real-life applications of such technologies using intuitive software

Some of these websites include- Scratch, App Inventor, Cognimates etc

  • Experiments with Google is an easy-access, affordable, and user-friendly tool to explore artificial intelligence training at a young age with exciting experiments on AI, VR, AR, Chrome, Voice, Android etc to apply creativity and technological dexterity at the same place. One of these fun-filled learnings includes MixLab that uses voice commands to create music
  • Engage in the practice of cultural inquiry – like what is the goal of You tube’s recommendations or how do my Amazon purchases reflect on my Instagram feed
  • Lastly, before introducing your children to the world of AI and machine learnings, self-education of the same is very crucial

Apart from exploring the possibilities of AI, these junior minds also need to know the limitations of AI to have a balanced approached. That is to say, AI is not the ultimate machine as it is created by humans and will improve along the way by errors made and rectified by humans.

Artificial Intelligence CareerIn recent studies, a scientist is experimenting to teach AI to learn like a kid. They want to inoculate the eager learning attitude and swift skills of young people into the algorithms of machines.

And, AI does not create everything. It is the innovation and vision of responsible human beings that will introduce, implement, and maintain the technological structure in human society.

How Artificial Intelligence Training Can Be Helpful For Any Voice Content Purpose?

Posted on by Imarticus Learning

Introduction

The technological change and digitization that is taking place across the globe are being accelerated by the day. Growth in Innovations and Inventions in all the major domains is Multi-fold. This major chunk of this growth can be attributed to the advances that are being taken in Artificial Intelligence. Artificial Intelligence had contributed to almost all the major domains in some or another way.

Artificial Intelligence as a domain is very comprehensive in both depth and breadth. Some of the major domains that comprise artificial intelligence are Neural Networks, Fuzzy Logic, Expert Systems, Natural Language Processing, Robotics, etc., In these domains, one of the fastest-growing domains is Natural Language Processing.

Natural Language Processing

The ability to understand and read human language through artificial intelligence is Natural language processing (NLP). NLP can be classified in terms of Text, Voice, and Audio. In all three, voice recognition is the fastest growing and widely known through various voice assistants in our smartphones.

Not only on the consumer side but also there are many applications on the enterprise and industry domains. Voice recognition/speech recognition is used for many purposes such as customer insights, in meetings, Security features, etc.,

Speech Recognition and its multiple applications:

Speech recognition is the Comprehension of the voice by the Computer to perform a task. It involves various modules such as speech to text, text to speech, Speech processing, and many more. Speech recognition can be found in many applications such as

  • Car Navigation
  • Navigation and Control such as GPS
  • Voice Assistants

Considering the advantages let’s consider how Artificial Intelligence Training in Speech Recognition/Voice recognition will help us to pursue a career in Artificial Intelligence.

 Artificial Intelligence Training

To Pursue natural language processing, there must be a holistic knowledge of Artificial Intelligence. Artificial Intelligence is one of the most important skills for any high-paying job. To have a holistic knowledge of artificial intelligence some key topics are to be concentrated upon such as

  • Python and Statistics
  • Data Analysis and Python
  • Machine Learning
  • Deep learning
  • Natural Language Processing
  • Computer Vision

To have a successful career in Artificial Intelligence there should be a basic understanding of python, TensorFlow, and other similar technologies. Though not all the domains are equally important, if an individual prefers to have a career in natural language processing then knowing other domains listed above will complement.

Skills Required to become an NLP Expert

Skills like Fundamentals in Machine Learning such as regression, probability estimation, data integration can be learned through training in Artificial Intelligence. In addition to this, there are additional skills that help an individual to become an NLP Expert. Skills such as parts of speech, Sentence Fragmentation, Information Extraction are needed from the linguistics point of view.

When seen from the programming side, NLP research scientists should be well equipped with at least one of python, java, ruby as a known language. Also, knowledge of probability & statistics and Recursive Neural Networking are essential for NLP. Artificial Intelligence Training will develop all these necessary skills

Prospects of Artificial Intelligence and Natural language processing

Rapid Growth in the technology space had made way for many new opportunities. Artificial Intelligence is one such field where there are umpteen opportunities in multiple domains. There are many High paying, exciting jobs that are available when Artificial Intelligence skills are possessed. Especially in Natural Language processing, the job prospects are surging. The job profiles that are offered for a career in Artificial Intelligence and Natural Language Processing are

  • Machine Learning Engineer
  • Natural Language Processing- machine learning Developer
  • Data Scientist
  • Software Engineer
  • Research Scientist
  • ML Specialist

Conclusion

Artificial Intelligence is a growing field and the opportunities that it offers are ever-increasing. In artificial intelligence, Natural Language Processing (NLP) is an essential part of high job prospects. A wholistic Artificial Intelligence Training and NLP will help an individual in pursuing a great career in Artificial Intelligence.

How Do You Become A Machine Learning expert?

Posted on by Imarticus Learning

Machine learning is a powerful tool used to transform information into knowledge. Over the past few decades, the world has witnessed a surge in the data which is useless unless it is analyzed and used effectively. Machine Learning makes this easier. By training machines to analyze the data sets and their patterns and behaviors, data science helps create an environment super adaptable for the organizations that need help with data every single day.

There are several methods to master Machine Learning and Machine Learning Certification is one of them. Imarticus Learning offers Machine Learning and Deep Learning Prodegree. 

This course helps the learners in the following ways:

Learners Can Gain Job-Relevant Skills

Along with building skills in Machine Learning, Python, deep learning, and IBM Watson through 16 industry and in-class projects, candidates get an intense Capstone project.

Smooth Career Transition

Imarticus has witnessed more than 1400 successful career transitions among its learners. This was possible due to the career support module which comes within the program, enabling a smooth transition into ML and AI fields.

Receive Industry Certification

The machine learning certification awarded by Imarticus is endorsed by IBM, a global leader in providing solutions that are technology-driven.

Take Advantage of Online Physical Classrooms

The classes are Live. They come with facilitated instruction for best learning outcomes. The learners can learn while interacting with the instructors, while gaining a full-scale knowledge online.

How Artificial Intelligence Training Helps to Boost The Fashion and Advertising Agencies?

Posted on by Imarticus Learning

In a fast progressing world such as ours, the need for an efficient tool to speed up the process of our work has increased. With that demand came the answer to all our problems, Artificial intelligence (also known as AI).

At this moment in time AI is being used across almost all major industries. A large number of establishments not using AI face being left behind in our extremely competitive economic race.

In this article, we will be shedding light on its advantages in the fashion and advertising industries.

AI and the fashion industry:

AI has established its role in the fashion industry quite firmly. Fashion retailers are going bankrupt due to the lack of importance given to AI. Due to this high demand, each year, the total expenditure on AI in the fashion industry is estimated to reach a whopping $7.3 billion by the end of 2020.

In the fashion industry, where only the top 20% of global brands are considered to be profitable, the need for a tool to maintain their relevancy is immense. It allows easy access to large chunks of data, customer personalization, and various other services which the fashion companies will not be feasible to run without.

AI is used mainly in three areas:

  1. Apparel design: Due to its ability to collect intricately detailed data sets, fashion companies are using this technology to better satisfy and understand customer needs and also be able to design better clothing from feedback. Zalando which is a German-based fashion platform has been designing its clothes using AI which picks up information depending on a wide set of customer choices which range from the material of clothing to clothing style and color.
  2. Making manufacturing easy: Fashion trends are fast-changing and there is a need for the pattern of change to be identified. AI is able to do this with ease while also being able to supply the apparel to shelves much faster than a normal retailer. Taking advantage of this, companies can confidently provide immediate service thus gratifying their customers based on their demands and needs. Examples of companies using this are brands such as Zara, TopShop, and H&M.
  3. Selling merchandise virtually: AI has the ability to break down the walls between the online and in-store shopping experience. This is being done through augmented and virtual reality technology, allowing customers to access apparel online using AR. Certain brands like Tommy Hilfiger are using virtual reality to create virtual pop-up retail stores.

Now you may ask how this works. AI is largely used in the fashion industry in the form of chatbots using which the fashion brand gathers information about the customer’s needs and desires. It has become an indispensable tool and is able to identify the customers fast changing desires.

AI and the Advertising industry:

AI plays a very important role in the advertising industry as well. It is able to identify elements that will resonate with the viewers, creating ads without any human involvement. It is also able to perform audience targeting and ad buying. Major platforms are using AI, taking advantage of its ability to determine if viewers would click on the ad they are being presented with.

It is able to intelligently identify and segment audiences, build ad creative, test variations, improve performance and also optimize spend. It has proven to be advantageous to digital advertising and the careers of marketing experts who plan and run ad companies.

Advertising at scale is something that is tricky and impossible for humans to perform and AI comes in quite handy here. The technology has the unique ability to detect patterns and predict what changes need to be made to a campaign to improve it against its specific KPI. This does not take days, hours, or even minutes but can be done in a span of just a few seconds.

The advantages of AI in advertising are hence as follows:

  1.  Increasing revenue through analyzing data at scale
  2. Reducing costs by acting on data faster and automatically
  3. Creating a massive competitive advantage

It plays a key role in real-time advertising, buying, and selling. This is most popularly done with the help of third-party apps like Facebook, Instagram, and Snapchat. These ads are suggested through AI looking at the links that are promoted by the user.

Taking all these facts into consideration it is pretty clear that a career in AI, especially in our day and age has huge scope and its benefits are undeniable! AI is transforming the fashion and the advertising industry as well as many other industries and thus considering artificial intelligence training at this point is a very smart thing to do!

What is The Best Coding Bootcamp For Machine Learning and Deep Learning?

Posted on by Imarticus Learning

Machine learning is an application of AI that provides the computer systems to automatically learn and process information to identify patterns and behavior which is later used in decision-making for given circumstances using this pattern. Machine learning is therefore looked upon as a revolutionary development in technology.

With diversified use of machine learning, companies are ready to invest in hiring machine learning engineers to stay ahead of the competition in a technology-driven world.

According to a report from Glassdoor, the average salary for machine learning engineers in the US is $115000 which is one of the reasons that make this field an attractive one even for the millennials who grew up with technology.

Aspiring candidates must possess great analytical skills and knowledge in programming languages and techniques like Python, C, C++, Hadoop, Impala, and Java which are provided through a Machine Learning Course.
There are numerous schools and institutes who are equipped with specially designed boot camps and courses both online and at the campus.

So, it becomes really difficult to choose the better one. Therefore, here is a list of compiled best boot camps for Machine Learning Training and deep learning which you can investigate further before making your decision:

  1. NYC Data Science Academy: Data science with Tableau, coding boot camp and Data science with R: Machine learning are some of its valuable courses offered full-time and part-time throughout the year. They also provide quarterly career day that connects the hirers with the students to enhance job opportunities.
  2. Grey Atom School of Data Science: It offers immersive data science boot camp, Data science masters program, data science masters program with deep learning. They offer career guidance and intense modules using Python.
  3. Product school: A list of comprehensive courses including product leadership, UX design for product managers and more cover subjects including Data analytics for managers(SQL & machine learning), blockchain and cryptocurrencies and project management. Students can get attend their courses in different locations or online and can access the job boards of the school online.
  4. Codesmith: Students get trained for landing in mid-level to high-level positions in their career with their intense courses like JavaScript for beginners, full stack software engineering immersive program and coding boot camps. On campus and online learning lets students build project modules and resume guidance.
  5. Lambda school: It renders a 30-week full time or 12 months part-time online boot camp which students can choose according to their convenience. Full-time or part-time Computer science and software engineering and Full-time or part-time machine learning and Artificial intelligence to name a few.
  6. Ubiqum Code Academy: Students can choose between a five-month full-time Bootcamp or one part-time data analytics course. Coding boot camps and full-stack web development with scholarships for women and veterans. To encourage promising aspirants they provide a facility to pay the fees in installments.
  7. Metis: It has different courses and boot camps both online and on the campus. Its data science Bootcamp has a duration of 12-week in person full-time course. Beginner Python for Matha and data science live course provides insights in subjects like web scrapping, Hadoop, Spark, Machine Learning, Git, GitHub and more.
  8. Data science Dojo: They have a specially designed 5-day data science bootcamp which leverages a hands-on-training for the students who spend 10 hours in this immersive course. Microsoft Azure machine learning, predictive analysis, and data engineering are some of the subjects the students can master during this course.
  9. We cloud data: They offer full-time and part-time data science bootcamps in Toronto and Canada. Their bootcamp is interesting and trains the students to be competitive enough to survive and flourish in this competitive field.
  10. Simple: They offer a wide range of online courses on machine learning, deep learning and data science for individuals who can concentrate on their career as well as upgrading their skills with their professional online courses simultaneously. MapReduce for big data problems, Introduction to solving data problems using UNIX and Hadoop are some of their skillfully designed courses.

Conclusion
Either for a person who is looking to land on a dream job or for a person who is looking to make a career shift in data science attending one of these coding bootcamps will definitely elevate the chances of being on a competitive front. Hike in salary and landing on full-time jobs are some of the perks received by the students who took up coding bootcamps.
Most of the bootcamps offer online courses which are flexible and allows you to work in a favorable environment. Luckily, we at Imarticus Learning is conducting an event called “Hackathon”, in which a number of students can participate in the coding competition.
Put your skills to the test, gain invaluable hands-on experience and develop your programming skills as you employ data science and machine learning to predict the price of used cars.
This exciting opportunity is brought to you by Imarticus Learning in collaboration with Analytics India Magazine. Winners stand a chance to win fantastic prizes and exciting learning opportunities.
Here’s What You Can Win: 

1st Prize
100% Scholarship		 2nd Prize
50% Discount		 3rd Prize
25% Discount
One of the Below Courses from Imarticus Learning
Data Science Prodegree
in collaboration with Genpact		 Machine Learning Prodegree in Collaboration with IBM

You Will Also Win
Exclusive tickets to Cypher 2019, India’s largest Analytics and AI summit by Analytics India Magazine. Grab your chance right away by joining one of the best bootcamps to take your career one notch higher.

How AI and Big Data Can Be Used to Fight Against Coronavirus?

Posted on by Imarticus Learning

COVID-19, a deadly virus that originated from Wuhan, China, has been declared as a pandemic by the WHO lately. The whole world is in quarantine to stop the spread of the on-going pandemic to further extend. The world has united to fight against the common cause. The results are most anticipated from the AI and Big Data to sustain through this so uncalled time.

Artificial Intelligence training is already helping many countries to fight against coronavirus and executives from Amazon, Google, Microsoft, and Apple met officials at Downing Street recently to discuss their role in the Coronavirus crisis. It is no secret that “Data” is the new gold; it is no less than a miracle that even on such a large scale shutdown of the economy the countries are doing well in providing necessities to the citizens. It is done by proper modeling and tracking of data.

What is modelling and tracking data?

Machine learning (ML) an advanced version of AI, has come to play a significant role in fighting CONVID-19. Five years ago, many were asking whether these models could be used to optimize corporate performance but now is the time when these models are helping daily to fight against coronavirus. Tracking the data using parameters and altering the matrix could come in handy in maintaining the resources and handling the outbreak in a more optimized way possible.

How to use the available resources to fight against the coronavirus?  

Countries like South Korea have an advanced digital platform for big data mining and they are already running government-run big data platform that stores citizen information and monitors foreign nationals and integrates all hospitals, government organizations, final institutions, and all other services too.

AI and Big Data have surely revolutionized the approach to fight the outbreak. Tracking and forecasting the path of infection and detect the most infected area to send instant help to limit the spread.

The difference is the quality of the data

Pumping huge amounts of data into AI and machine -learning systems is no guarantee of success and it makes it difficult to ensure that people focus on relevant information and not get mislead by hysteria. A recent update by Facebook stated the concern about the public reaction on the outbreak. They told us that they are monitoring people’s response to this outbreak and detecting the most affected areas across the world. This has come to be of great help in monitoring the outbreak on a global platform.

Using fresh data in these circumstances is of high priority as early detection of the virus can save other people from getting infected. Many countries have also introduced a quick reaction team and total isolation chambers to limit the contamination. Many drive-through labs are operational where you can get your results while sitting in the car and get treatment instantly if infected.  AI and Big Data-based start-ups are busy in making thermometers which can detect CONVID-19 at early stages.

Finding the cure using AI and Big Data Analysis

Exscienta, a British start-up became the first company to test AI-designed drug molecules on humankind. There are some limitations in finding the cure as it takes a long time to study the pattern and create algorithms

Conclusion

AI and Big Data have surely revolutionized the campaign again coronavirus in all aspects possible be it keeping the people comfortable and safe in quarantine or let it be the fight against coronavirus on the front ground and it’s no wonder why AI and Big Data analytics is booming globally and many companies are shifting their focus towards this upcoming mega technology.

How Much Do AI Researchers Make?

Posted on by Imarticus Learning

What is Artificial Intelligence?

Also known as Machine Intelligence, Artificial Intelligence deals with the automation of machines so that they can perform human-like activities. Artificial Intelligence is being used in a lot of data-oriented industries such as insurance, healthcare, retail, technology, automotive, etc.

It also finds use in the finance sectors where various credit frauds and identity thefts need to be traced. Artificial Intelligence makes use of various machine learning algorithms to perform a specific set of tasks. Artificial Intelligence training is shaping our new world. It aims at achieving a specific goal by rationalizing the processes involved and then taking actions accordingly.

Who are AI-Researchers?

AI Researchers are those who apply the fundamentals of artificial intelligence to various data sets to draw out conclusions and various business insights. The job of AI Researchers includes language processing, algorithm building, development of data sorting mechanisms, etc. Also, it includes the movement and manipulation of data from various channels so that an efficient and effective transformation of data takes place with the utmost ease and efficiency.

AI researchers usually have a great understanding of various computer programming languages, hence making them proficient in what they do. Their expertise lies in building machines which reduces the human effort to a great extent. Artificial Intelligence researchers are in great demand owning it to the fast-paced technological environment and this ever-growing need for constant change. Thus, making AI Research a lucrative career path. People with less experience are also trying their hands in this area, given the financial attractiveness of this field.

How much do AI Researchers make?

Artificial Intelligence has become one of the most important elements of this data-oriented world. Companies are moving towards automation, making the best use of artificial intelligence and its ability to analyze, compile and assess huge data within a given time frame. The application of artificial intelligence requires expertise, thus demanding a pedestal in the corporate world. And this pedestal converts to a huge salary when converted into financial terms.

Artificial Intelligence is an area with a high demand for skilled personnel and less supply of the same, making it a really expensive affair for the companies looking forward to hiring AI Researchers and experts. The pay is the sweet spot for AI Researchers as the job role comes with huge money. The average salary for an AI Researcher in Silicon Valley is somewhere around $100,000 and $150,000 as it involves a lot of brainstorming and this pay is further increasing with the increase in applications of artificial intelligence.

Also, with increasing applications of Artificial Intelligence, the complexity of the operations is increasing, thus making the job of an AI Researcher a hotspot.

AI training and commands have such huge salaries as it provides a practical approach and puts the theoretical knowledge to some good use. Also, one can teach oneself and be ready for the market but understanding AI takes sufficient time and is not a cakewalk.

It is rapidly growing and the ones who are catching up with this growth are being rewarded in the form of really high salaries which keep them motivated to stay on the path as this growth graph of Artificial Intelligence is constantly going up and will not become flat anytime soon. As per Glassdoor, the average base pay of an AI Researcher is $111,118 per year which is pretty high when compared to other sectors of the economy.

Conclusion

Artificial Intelligence has made the world more dynamic than it was ever before. It is evolving at a very fast pace thus giving rise to a huge demand for AI professionals and the salary associated with the field is making it even more attractive for the generations to come.

We at Imarticus Learning offer Analytics and Artificial Intelligence courses at our centers in Mumbai, Thane, Pune, Bangalore, Chennai, Delhi, Gurgaon, Noida, Ahmedabad, and Jaipur.

AI Helping The E-commerce Stores To Dramatically Increase Conversions

Posted on by Imarticus Learning

 

In today’s era of continuously developing science and technology, artificial intelligence has touched almost every possible domain in our lives. It has revolutionized technology to mimic the human brain. From self-checkout cash counters at malls to advance security check systems at airports, AI has left its footprints everywhere. It has set a considerable benchmark in the field of e-commerce by providing a wide range of personalized experiences and creating new standards. According to a recent analysis, more than 80% of the human interactions in the future will be held by artificial intelligence. The key features that create a dramatic increase in conversions are listed below.

Chatbots

Chatbots are intelligent conversational agents that use Natural Language Processing as a base to provide the machine with the ability to understand and process human interactions. They are designed to cater to the user needs by providing product recommendations, customer support, and fulfillment of customer purchases. A large number of sales chatbots are being used to provide a personalized user experience. They interact with the customer in a simple question-answer format and provide a suggestion based on the previous purchase history or other buying trends, thereby creating an increment in the sales.

Recommendation Systems

Most of the websites dedicated to online shopping make use of recommendation systems. These systems collect data related to each customer purchase and make suggestions using artificial intelligence algorithms. The main concept used in the recommendation system is to create the sale boost either by suggesting a product based on the purchase history (personalized recommendation) or by promoting the popular products (non-personalized recommendation). They provide an appropriate product suggestions thereby optimizing the website for a boost in sales and increased conversion.

Visual Search Engines

With the help of AI, desired products can be found with just a single click. All a customer needs to do is to take an image of the desired product and provide it as an input to the search engine. The search engine recognizes the desired item based on its specifications and provides appropriate results. Providing accurate results saves the customer time and effort in going through multiple products and the relevance of the system results in increased sales.

Speech Recognition

As AI is expanding every day, it is providing great support for e-commerce by implementing user efficient techniques like voice assistants. By analyzing the sentences used by the customer for the desired product, accurate suggestions are provided thereby raising the bar of user convenience in online shopping. Thus, voice assistance has been proved as one of the most successful tools in providing a smooth, personal and more humane touch to the user experience.

Conclusion

The application of AI in the e-commerce sector has greatly succeeded in providing a better user experience and significant sales increment. It has directed the trend from the traditional shopping approach of visiting the shops to a more advanced yet convenient method of online shopping. It has created a platform for increased conversions with the help of technologies like speech recognition, visual search engines, recommendation systems, better user experience and much more. In simple words, it has made the process of buying and selling swift and efficient for the users.

Artificial intelligence, through its attempts of increasing conversions, is creating rapid advancements in the field of science, technology, and e-commerce. This can be considered a key reason for the recent rise in the number of individuals veering towards artificial intelligence training and opting for machine learning courses.

E-commerce firms are continuously working in the direction of improving the artificial intelligence tools to meet the modern-day market trends. SEO (Search Engine Optimization) integrated with proper marketing strategy and artificial intelligence features like personalized recommendations and sales intelligent chatbots is continuously creating wonders in the e-commerce sector.