It's Time to Make the 'Intelligent' Choice for 2019
By Saheli Roy Chowdhuri
The year 2019 is upon us, and it’s safe to say that the new year is going to be full of incredible opportunities that are waiting to be seized. However, these opportunities are created because new technologies such as Artificial Intelligence are now at the forefront, and there will be a demand for employees and graduates to upskill in these areas. Accordingly, now is the perfect time to make the 'intelligent' choice for the upcoming year. Arming yourself with the latest and most relevant skills will help you ensure that 2019 will be a prosperous year professionally.
Also, to give you an idea about the incredible opportunities, you should understand that AI is going to revolutionize the professional sector across so many different domains. Some truly amazing job opportunities across a plethora of sectors such as healthcare, software development, automotive industry, retail etc. lie in waiting!
So, for today, let’s get into the sectors which AI will revolutionize for the future, just so that you have an idea of just how necessary AI and Deep Learning skills will be in the coming days.
Traditionally, a software is developed starting with understanding the technical requirement. Design, development and testing for QA are done manually. Once approved, it is deployed and maintained. However, with the advent of AI, the software development sector has embarked upon a dynamic change. This entire process is now being revolutionized with AI and machine learning and is being called Software 2.0. According to Andrew Karpathy (Director of AI at Tesla), “Software 2.0 will be a code written in the form of “neural network weights” not by human but by machine learning methods.” Programmers will then collect, clean and analyze data that will be fed into neural networks. This will make the Software Development Lifecycle more agile. Consequently, if you are into Software Development, then understanding the dynamics of AI in the field would help you immensely in the long run.
In the current economy of global innovation, IP titles are required to be dynamic due to the rise in complexities. AI and Big Data are currently being used in areas like the automatic classification of patents and trademarks and formality checks of trademarks and patents etc. In India, the government is working with NITI Aayog to make necessary tweaks in IP laws to make it more flexible and increase its scope covering AI and its applications. All in all, the IP sector is evolving, and you would do well to evolve with it, by picking up the latest AI and DL skills.
There will come a day every helpdesk will be manned by an AI bot. Over the past few years, the rise of smart assistants like SIRI, Alexa have changed the way we interact with a bot. The capabilities of Machine Learning and Natural Language Processing Units put together will enhance the efficiency of AI bot powered tech support. This has changed the way customer support solutions are being designed, and in the future, it might eliminate human interference.
Energy companies produce masses of data from their plants. AI is instrumental in helping collect, analyze and visualise data trends for predictive maintenance, cutting costs and improving overall productivity. Energy grids now combine energy from various sources, (read solar, wind, water, hydrocarbons etc.) and AI can help analyse these new data sources to bring stability and improve efficiency to the grid. Some of the AI and DL programs have now started adding modules about AI in the energy space.
The next big thing in manufacturing, will be networked units, where entire manufacturing units are recreated in the cloud using IoT, AI and ML. These digital twins will integrate the supply chain, design team, production line, and quality control all in one place improving productivity and efficiency with AI providing data to accelerate the decision-making process.
According to a study by Analytics India, on an average, Indian firms have an analytics penetration of 1.7%. This essentially implies that for every 59 employees in the organisation, one employee is associated with data analytics. And this number is set to grow with companies in sectors such as banking, finance, e-commerce, retail, and telecom adopting it aggressively.
On the frontier of such an exciting industry, breakthroughs in AI, ML and Big Data Analytics will mean more industry sectors will start adopting these technologies to understand their data better. And to avoid the pitfalls of just storing data and not being able to use it efficiently, companies will need skilled programmers and data scientists who are certified in Artificial Intelligence and Deep Learning.
All in all, now is the right time for professionals across various industries to add AI and DL skills to their arsenal and be ready for the jobs of the future. Manipal ProLearn’s PG Certification Program in AI & DL aims to empower graduates and professionals with the most relevant skills required to make it big in the field! What are you waiting for then? Go out there and seize the initiative!