Artificial Intelligence Trends to Look Out This Decade – Weekly Guide

Artificial Intelligence is a growing field with new applications and advancements happening across industries. Another notable thing is the pace of these advancements, that is really fast. This article discusses such progressive advancements in the field of artificial intelligence that will dominate this decade.   

Most Indian firms to turn to AI for decision-making by 2023

As per a new IDC report, over 40 per cent of consumer-focused AI systems in the areas of finance, healthcare, government and other regulated sectors in India will include provisions to explain their analysis and decisions by 2023.

Organisations in India are looking for technology vendors and integration partners that can help them in bridging the talent gap. Also, enhancing decision-making capabilities.

AI is turning out to be helpful in directing decisions on everything. This includes bank loans, risk assessment, automated customer service, crop advisory, healthcare, and others. 

Another forecast says that by 2025, the number of data analysts and scientists that will adopt AutoML will double in the country. These professionals will be involved in the end-to-end machine learning pipeline from data preparation to model deployment. 

Which artificial intelligence applications will flourish by 2030?

By the end of this decade, some of the AI-powered activities that are likely to become normal include:

  • Conversational Commerce
  • Home Technical Support
  • Autonomous Vehicles
  • Institutional Decision Making, 

Institutional decision making, however, has few satisfactory prototypes at this time and therefore will be harder to fix.

For the remaining decade, new forms of transparency will evolve. The new norms will enable ordinary citizens and their advocates to better understand and challenge the flawed algorithms. It will provide a meaningful check against the potential harm from defective AI systems. 

Head to the Great Learning Academy for free courses on Artificial Intelligence and Machine Learning. 

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