Introduction:
Remember Rajinikanth and Shankar’s magnum opus movie, ‘Enthiran’ in 2010? The robot, ‘Chitti’ was developed with the combined application of Machine Learning and Data Science. The scientist (Rajinikanth) would have input the data sets and provided necessary training so that it could assist the Indian army. Director Shankar was ahead of his time and made the movie before the technology was trending. Few years after the movie was released, Data Science, Big Data, Artificial Intelligence & Machine Learning and many other technologies are gaining popularity.
As we move into the 21st century, technology continues to evolve at an astonishing rate. The year 2023 is no exception, with a plethora of new and exciting trends set to take the tech world by storm. This blog post will explore some of the most notable trends predicted to shape the tech landscape in 2023, like data science, big data, and artificial intelligence (AI).
Why should you know about these trends? With the advancements in the technological landscape, the trends require efficient scientists who can bring these applications into use. As aspiring computer science students, if you master these technical skills and stay updated with the top new technologies, you will have an opportunity to build a strong career foundation.
Data Science
Data science is a rapidly growing field involving statistical and computational techniques to extract insights from large and complex data sets. As more and more organisations realise the value of data-driven decision-making, the demand for data scientists is expected to skyrocket in the coming years. Here are a couple of trends in data science to look out for in 2023:
Automated Machine Learning: Automated machine learning (AutoML) is a rapidly growing trend in data science that involves using software tools to automate the process of building and deploying machine learning models. This technology is expected to become even more prevalent in 2023, making it easier for organisations to take advantage of the power of machine learning without the need for highly skilled data scientists.
Real-time Analytics: Real-time analytics is another trend expected to gain traction in 2023. This technology allows organisations to analyse data in real time, providing insights that can be used to make immediate decisions. This is particularly useful in finance, healthcare, and e-commerce, where real-time insights can be critical to success.
According to a report from the McKinsey Global Institute, the demand for Data Science and Analytics jobs is expected to rise by 28% by 2020. This emphasises the importance of technical skills for students in data science to stay competitive in the job market.
Big Data:
Big data refers to the large and complex data sets organisations generate daily. The field of big data is constantly evolving, with new technologies and techniques always emerging. Here are a couple of trends in big data to look out for in 2023:
Cloud-based Big Data: Cloud-based big data is a trend that is expected to gain momentum in 2023. This technology allows organisations to store and process large amounts of data in the cloud rather than on-premises. This makes it easier for organisations to scale their big data operations as needed and reduces the cost of maintaining expensive hardware.
Edge Computing: Edge computing is another trend expected to gain traction in 2023. This technology allows organisations to process data at the network’s edge rather than in a centralised data centre. This is useful in real-time insights, such as IoT devices, which are required.
According to a report from the International Data Corporation, the big data market is expected to grow from $42 billion in 2018 to $103 billion in 2027.
Artificial Intelligence:
AI is a rapidly growing field involving advanced algorithms and techniques to simulate human intelligence. As AI becomes more prevalent, the demand for skilled professionals in this field is also expected to rise. As we approach 2023, we must keep an eye on the latest trends in Artificial Intelligence (AI).
AI-Driven Automation: AI-driven automation is a trend that is expected to gain traction in 2023. This technology uses AI to automate repetitive tasks and processes, freeing human workers to focus on more complex and strategic tasks.
According to industry experts, one of the biggest trends to look out for is the integration of AI in healthcare, including using AI-powered virtual assistants and chatbots to improve patient care and communication. Another trend to watch is the use of AI in the manufacturing industry, with the potential to increase efficiency and precision in production processes.
Statistics show that the demand for AI-related jobs is rising, with a predicted growth of 74% by 2028. This makes now the perfect time to start developing your technical skills in AI, as it’s a field that will only continue growing in the coming years. So, if you’re looking to future-proof your career, it’s time to start investing in your AI skills, Data Science and Big Data.
Conclusion:
As a student, if you are looking forward to honing your skills in the trending technological advances and want to be prepared for a competitive future, you can choose to study at CMR Institute of Technology. The college is affiliated with VTU and offers various bachelor’s and Masters’s degrees specialising in Data Science, Big Data, Artificial intelligence and Machine Learning.
As one of the best engineering colleges in Bangalore for computer science, CMRIT provides worldwide exposure through various academic and non-academic programs. The curriculum enables the students to learn about the latest technologies and trends in the industry. The experienced faculty team also ensures that the students learn the concepts and not just memorise them. CMRIT provides the necessary infrastructure and facilities and 100% placement assistance. To learn more about our courses, click here.
