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Everything about the future of AI and Data Science

Data Science
Blog Date
October 4,

The future of AI and data science looks very bright. With the advancement of new technologies, we can collect and process data at an unprecedented rate. This has allowed us to make significant advancements in fields such as medicine, agriculture, and manufacturing.

AI and data science are also being used to improve the efficiency of many business processes. For instance, they are being used to streamline customer service, optimize marketing strategies, and even predict consumer trends.

In the coming years, we are likely to see even more amazing and game-changing innovations in these fields. So, what does the future has in store for data science and AI? Read on to find out!

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What Is fuelling the advancement of AI and Data Science?

Companies frequently neglect productivity and efficiency in favour of innovation and automation. But because data science and AI programmes are so widely used, firms can maintain a balance between the two. Applications of data science and artificial intelligence (AI) have created a standardised method for executing commercial tasks more quickly and effectively. Furthermore, it is now a vital component of decision-making, customer engagement, product creation, market research, and marketing strategies, deeply ingrained into the firm’s fabric.

Data Science and Artificial Intelligence: What are they?

Data science is taking raw, unstructured data and turning it into structured, filtered data using scientific techniques and mathematical calculations. Data scientists, engineers, and executives, among others, carry out operations like data mining, data purification, data aggregation, and data analysis. Data science, according to experts, is an interdisciplinary field that extracts data using scientific procedures, techniques, algorithms, and systems.

On the other hand, they describe artificial intelligence as the theory and creation of computer systems that can carry out activities that ordinarily require human intelligence. Some actual applications of AI are listed below:

  • Chatbots
  • Help from voice over
  • Recommended automatically
  • English to other languages
  • Detection of images

Artificial intelligence and data science are tools that businesses may employ to do the unimaginable. Processes requiring a more excellent staff and more person-hours may also be automated and made more efficient. Because of this, many companies have adopted data science and artificial intelligence, reaping the advantages we will address in the following section of the article.

What advantages do Data Science and Artificial Intelligence integration offer?

Everything in society is changing with the integration of data science and AI, from grocery shopping to using public transportation to commute. We highlight a few advantages of data science and AI integration below:

  • The workforce has been able to focus on other duties thanks to the automation of labour-intensive human tasks.
  • Increases productivity and efficiency in the healthcare, insurance, and pharmaceutical industries
  • Among other industries, marketing
  • Systems for innovation to communicate with customers and determine their needs.
  • Predicting disasters and preparing for them.
  • Human mistake rates decrease as a result.

Data Science in the future

The data explosion, the internet of things (IoT) expansion, and the rise of social media are all expected to contribute to some of the most significant advancements in data science that have occurred in the last ten years. In addition, the emergence of machines, according to experts, will increase the utility and usage of computers and mobile devices during the next ten years.

Experts predict that as more people use social media and consume large volumes of material online, social media use will significantly rise. In addition, consumers will use social media for entertainment, business, security, and other purposes. 

Artificial Intelligence’s future

Even though artificial intelligence is still in its infancy, it has already begun to replace the human brain in some situations. It carries out several commercial tasks without needing a human being, including customer interaction and brand recognition on social media. Many professionals think that AI will surpass humans in practically all cognitive tasks.

Artificial intelligence applications are revolutionising the healthcare, insurance, financial, and marketing industries by automating administrative tasks like managing employee or patient records, doing market research, and connecting with potential clients.

How to begin a career in Data Science?

Companies are mining a wealth of data and turning it into useful information. As a result, they are hiring data scientists. Here are some requirements to consider if you intend to pursue a long-term career in data science.

  • Enrol in a master’s programme or one in a related profession. Additionally, individuals can enrol in various certification or diploma programmes to hone their data science abilities and broaden their conceptual understanding.
  • Develop your technical and soft talents, such as database management, knowledge of primary coding languages, analytical tools, communication abilities, data intuition, and keen business sense.
  • Take advantage of business internship opportunities to learn how to apply what you learn in the classroom to real-world situations.

There are many career opportunities in data science because of the rising demand for specialists in the industry. Along with data scientists, the following data science job titles will be in demand in 2022:

  • Analysis of data
  • Engineering data
  • Intelligence analyst for business
  • Analyst for marketing

How to advance a career in AI?

Due to the expanding use of AI applications across numerous industries, there are numerous prospects for artificial intelligence. A career in AI, therefore, seems promising. Some of the popular AI job titles include:

  • Engineers for big data
  • The engineer for machine learning
  • AI data analyst AI engineer, research scientist 

It is evident that AI and Data Science are two rapidly growing fields with tremendous potential. With suitable investments and policies in place, AI and Data Science can help us solve some of the world’s most pressing problems and improve our way of life. So if you are also planning to kick-start your career in the field of AI and Data Science, you can head to the website of Online Manipal.

Manipal Academy of Higher Education provides a Master of Science in Data Science. The course is designed for learners who can’t join a regular course due to prior commitments. The 24-months long course has a career-oriented curriculum and is self-paced. The course will provide you with all the technical knowledge, enhance your job opportunities, and elevate your earning potential. Upon completing the course, you can join as a Business Analyst, Program Manager, Data Scientist, Big Data Engineer and more. Check out the course structure at Online Manipal’s site and enrol today!


Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.

Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.

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