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      Siemens and TSMC collaborate to help mutual customers optimize designs using foundry’s newest advancements

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      Breaching digital divide: Impact of SD-WAN connectivity on rural and remote connectivity in India

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      Role of Generative AI in the Modernization of Software Development Process

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      Oracle Unveils New Generative AI Features for Enhancing Customer Service

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      Through AI, we are offering mental health solutions at Rs 1 per day: Sanjay Bhardwaj, founder, Manodayam

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      DQ Top 20 Rank 19 – Genpact Transformation Happening Here? 

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      DQ Top 20 Rank 17 – Oracle India Business Surges, spearheading Cloud Revolution across Sectors 

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      DQ Top 20 Rank 16 – Microsoft India Robust Outlook Amid Driven by Hybrid Work and Cloud Adoption 

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      Cloud Computing and Data Management Reshape Industries: Future-Proofing Organizations

      Oracle Cloud World 2023 Keynote

      Larry Ellison’s Oracle Cloud World 2023 Keynote Highlights: Pivotal Innovations and Industry Insights

      Smart city

      Smart and sustainable city solutions deliver on sustainability and resilience goals

      Forge

      Sustainable building an integrated approach to support customers’ goals

      Buildings

      Honeywell helps building owners drive critical performance

      Gigafactory

      Gigafactories fueling renewable energy transition through automation control technologies

      Trending Tags

      • Revenue Analytics
      • fraud prevention
      • Seven Pillars of Digital India
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      Cloud Computing and Data Management Reshape Industries: Future-Proofing Organizations

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      Navigating the Decision of Opting the Build vs Buy in Data Center

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      Schneider Electric showcases innovative, sustainable, and transformative digital solutions at Automation Expo 2023

      Electronics

      Booming Indian consumer market comes with opportunities and challenges for e-commerce brands

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      Role of predictive analytics: Unleashing business growth and efficiency

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      Asia Business Case Centre, NTU Singapore released case study on health tech HealthPlix

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      IIT Bombay makes AI and Data Science Mandatory for Undergraduate Students

      Preeti AnandbyPreeti Anand
      September 15, 2023
      in News
      0
      IIT Bombay

      IIT Bombay

      IIT Bombay has decided to make Artificial Intelligence and Data Science (AI-DS) a required subject for undergraduate students – both BTech and BS – beginning this academic year. “Previously, Physics, Chemistry, Mathematics, and Biology were required courses for all students.” AI-DS has just been added to our curriculum. “Whether they use it or not, everyone will get a taste of it by being equipped with the knowledge to use it,” said Professor Deepankar Choudhury, director of the civil engineering department and chair of a team formed to review the BTech curriculum reform. The group offered several suggestions, including the use of AI-DS.

      AI-DS will be offered as a common subject in IIT Bombay

      While AI-DS will be offered as a common subject with required credit in the first semester of the second year, interested students can pursue more advanced courses in the field afterward. The decision comes when AI and DS become more popular as specialty courses at both the undergraduate and postgraduate levels.

      IIT Bombay included a basket of non-engineering disciplines in a major curriculum reform last year to address the shifting patterns of students pursuing non-core engineering employment. Humanities, Arts, Social Science, Management, Entrepreneurship, and Design courses are becoming more popular.

      What is the Importance of Artificial Intelligence (AI) and Data Science?

      • Artificial Intelligence (AI) and Data Science have emerged as transformative forces in the modern technological landscape. AI, dedicated to creating intelligent machines, has paved the way for devices to simulate human-like thinking and decision-making. This technology has found applications in various domains, from self-driving cars and virtual personal assistants to healthcare and finance, revolutionising how we live and work.
      • On the other hand, data science is the art of extracting valuable insights and knowledge from vast amounts of data. It encompasses data mining, machine learning, and statistical analysis to uncover patterns and trends that inform business decisions and enhance efficiency. In today’s data-driven world, organisations rely on data scientists to turn data into actionable information, optimising processes and creating a competitive edge.

      The synergy between AI and Data Science is undeniable. AI algorithms thrive on data, and data science provides the tools and techniques to harness the power of AI. Together, they enable us to build intelligent systems capable of making sense of the immense data generated daily. Whether it’s personalising recommendations on streaming platforms, predicting disease outbreaks, or optimising supply chain logistics, AI and Data Science continue to redefine possibilities and shape our future. Their potential for innovation and problem-solving is limitless, and their impact on society grows as we unlock new ways to leverage their capabilities.

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