New-age opportunities for working professionals. Time to upgrade and outshine. – Learnxt

New-age opportunities for working professionals. Time to upgrade and outshine.

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New-age opportunities for working professionals. Time to upgrade and outshine.

There is no doubt in the fact that we are witnessing an advancement breakthrough in different careers with the arrival of technology in this fast-moving world. Two decades ago, only a few careers were considered desirable such as doctors, engineers, lawyers, etc. But with evolving technology and changing dynamics, the world we live in is creating new job platforms and career opportunities.
Industries are actively looking to hire people with data skills nowadays. Building your efficiency and skills in data science, analytics, and artificial intelligence will help working professionals to lift their career potential. Life starts when you start making choices that can transform your life the way you want. Data Science and Analytics & Artificial Intelligence as career paths can enlighten your life professionally, as the whole world is heading towards the path of technology. Your early realisation and choice of career path will eventually benefit you in the long run.
Since the world is moving towards Artificial Intelligence and Machine Learning algorithms, who would’ve thought that a career in data science will become a lucrative job opportunity. Gartner predicts that by 2024 AI and machine learning will replace the routine workload of managers by 69%. AI-based applications and ML algorithms (virtual personal assistance, chatbots, etc.) will take over the monotonous and routine tasks at the workplace, leaving the space for humans to focus more on subjective and creative tasks.
Having said that, let’s have a look at Artificial Intelligence and Machine Learning as New Age Career opportunities for working professionals:
Data Science and Analytics as a Career:  
Whenever we go to a hospital or a retail outlet for shopping, the companies ask for the data of customers. The companies use this data to analyse the requirements and preferences of the customer, launch new products based on that, and offer discounts as per customer satisfaction.

Data science is in demand for skilled professionals and can be said the most promising career path nowadays. As a data scientist, your work will be to take data, analyse it, and use it to make apt decisions for the future. The most important aspect of a data scientist job would be building productive models.

Perks of Being a Data Scientist

  • Sexiest job in the 21st century

  • Freedom to work

  • Work with big brands

  • Handsome payoff

If you are planning to have a career in data science, you must be acquainted with excel, coding, and software tools like SAS, R, Python, etc. Data science is immensely growing as a career option, and it can be rightly said as the game-changer for businesses, as it utilises the data and adds value to the business. Data science is the future of the world and can effectively help in various sectors to analyse the challenges and efficiently get to the required outcome.
Artificial Intelligence as a Career:  
Alexa, Siri, Tesla, Netflix, etc., are a few examples of artificial intelligence well known to the world. Artificial Intelligence (AI), also known as machine intelligence, is a science of programming a machine in such a way that it can take human-like decisions. Emerging trends and applications of artificial intelligence have made it an appealing option in the career market. The World Economic Forum (WEF) stated that by 2022, AI would create 133 million jobs. The bright future lies in the hands of AI.

Career opportunities in Artificial Intelligence

  • AI Data Analyst

  • AI Engineer

  • Big Data Engineer

  • Business Intelligence Developer

  • Data Scientist

  • Machine Learning Engineer

  • Product Manager

  • Research Scientist

  • Robotics Scientist

AI is getting more intertwined into our daily lives, both at home and workplace. If you are willing to pursue a career in AI, you must be acquainted with coding and different software. Let’s have a look at the new generation machines where AI can be used efficiently.
  • AI has enabled autofocus and quality pictures in new generation cameras.
  • Alexa, a voice recognition machine, launched by Amazon, answers all the human queries and questions from anywhere in the room.
  • Advancements in AI are continually evolving in the health care industry by providing accurate and fast responses.
  • Netflix, Spotify, Tesla, Prime Video, etc., are some examples of AI-powered engines that have become an essential part of our daily lives.
  • Big brands like Google, Amazon, and Microsoft are investing heavily in artificial intelligence; this clearly depicts the vastness of artificial intelligence and its impact on businesses.
Few industries are actively adopting artificial intelligence applications and machine learning algorithms. These industries can be listed as:

Agriculture: AI helps in developing the perfect farming environment, which results in maximum yield.

Banking: AI has provided the banking sector with the benefits of chatbot assistance, fraud detection, and enhanced payment methods.

Construction: AI assimilation has resulted in the safe and efficient construction of buildings.

E-commerce: Effective warehouse operations, fraud prevention, and good product recommendations because of AI.

Education: A suitable learning environment for students, especially during the pandemic.

Healthcare: By introducing AI in healthcare, proper diagnosis and treatment are facilitated.

Marketing: By making use of predictive intelligence along with machine learning, the sales target can be achieved effectively.

Outshine with SRM University and LEARNXT:

  • Considering the popularity and need for artificial intelligence and data science courses among the working professionals and the need for high-quality data science professionals for industry, SRM University AP in collaboration with LEARNXT offers India’s first accredited Degree programs in Data Science, i.e. MBA (Data Science) – Specialisations in Business Analytics & Machine Learning and Artificial Intelligence, MSc (Applied Data Science), PG Diploma (Applied Data Science), and PG Diploma(Machine Learning and Artificial Intelligence).
1800+ hours of learning (65% hands-on practical & projects + 35% theory), five day’s campus immersion (5 days per semester), and 8 hours of weekend classes will help the working professionals to balance their work-life simultaneously.
Eric Schmidt when he was CEO at Google in 2010 said, “There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.” This quote is enough to justify the relevance and prevalence of this field and its exponential growth in the future.
Stay tuned to LEARNXT to know new-age opportunities for working professionals.

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