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Data Science and Artificial Intelligence

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  • 27 Apr
  • 2023

Data Science and Artificial Intelligence (AI) are two of the hottest topics in the tech world right now. Both are incredibly powerful tools that can help businesses and individuals make more informed decisions, increase productivity, and even create entirely new products and services.

Data science can be defined as the science of collecting, processing and using the infinite amount of information available mainly on the Internet as a resource for data-based decision making. It is also a time when many companies are using the resource big data to improve and streamline their business operations. It still has a lot to grow. Examples of big data sources include data generated when shopping on Amazon, information from Facebook accounts, Google search history, and facial recognition to sign in on a phone. The data set reminds us of what we searched for, what we bought, and how much we spent on an online shopping site. Through data science, Amazon is now able to understand our needs and present a customized home page view just for us. Technically speaking, this can be done easily through Adobe Target today.

Today, data science practitioners have become a driving force driving the industry forward, acting as a mediator between business and information technology. Studies show that big data analysis and subsequent business strategies can increase a company's profitability by up to 60% today. Personal location data-enabled services help consumers shop at a lower cost. Companies can create excellence in manufacturing with the help of artificial intelligence through the Industrial Internet of Things platform.

Data science has a role to play in enabling timely scientific predictions by analyzing the trajectory of the spread of the Covid-19 disease in space and time. New technologies have become familiar that make diagnosis easier through wearable devices. Strategic sectors such as climate, education, and space programs are realizing the benefits of data science. Facebook blocked a site shortly before Corona? They made revolutionary changes in about 200 elections including India through data analysis. Data science is a diverse and vast field of work that is expected to be in great demand in the coming years.

Various types of jobs are emerging in the field of data science. These are Data Analyst, Data Architect, Data Engineer, Data Mining Specialist, Machine Learning Engineer, Data Base Administrator, Business Analyst, Business Intelligence Analyst and many more. Different opportunities are available now depending on the needs of the working organization. Data analysts can collect and process deep and large amounts of information from the Internet through statistical data analysis to help companies make better business decisions. They can present a data set in an easily understandable way like presentation and reports. Although the job features are almost similar, apart from knowledge of algorithms and coding, experience in machine learning and data mining is indispensable for the job of a data scientist.

Basically, the three components of data science include statistics, programming, and business. Graduates in statistics, mathematics, computer science, engineering, economics, finance, and business-related disciplines have excellent opportunities for further studies and finding good jobs in data science. Hal Varian, Chief Economist at Google, said that statistician will be the most in-demand job in the next ten years.

Artificial Intelligence

Training computers to think like humans This is the specialty of Nirmanita Buddhi. Technologies and innovations powered by artificial intelligence will pave the way for explosive change in the world; It can be said that this is preparing to change human history.

Using artificial intelligence based on human thoughts Machines are then able to take accurate decisions. Think about how vehicles like cars and bikes can make us a better driver. Similar situation. It's not often that we talk to a good consumer representative! We may ask many questions. What if our mobile does the same thing! If we want to print a document, we just tell it to the mobile phone. The distance between two planets should be known in kilometers. We want to know the current age of a favorite movie star. We need to know about the origin of corona virus and the changes that have come through mutation at various levels, we need to see/hear it in our own language/print that information/mail it to ourselves and our loved ones and so we have many needs. Things are so transparent that you can talk and move like a human without feeling repetitive. It is important to know that it is not just text messages. We can see it in pictures and videos. Because, for this, various collections of data are available on our servers. Needless to say, Hitler's campaign and his atrocities will surely be revived by them!

Being one of the fastest growing and largest economies in the world, it is imperative that India works with dedication to harness the power of AI for sustainable growth. It has also been noticed that decisions are being made to change to that level. It can be assumed that India aims to create a strong AI ecosystem, including a national strategy aimed at leveraging AI for economic prosperity, sectoral progress and inclusive growth. Effective AI strategies that strengthen research capabilities, support business adoption and develop standards for its ethical use will pave the way for effective integration of innovations on the growth path of a new India. 

 

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