5 Ways AI/ML will drive future innovation and change

5 Ways AI/ML will drive future innovation and change

23 September 2021

Introduction

In 2020, the pandemic brought on economic and technological challenges on a massive scale globally and was a year most of us want to forget. The new normal leaves business nothing but scrambling to adapt in order to stand out. Artificial intelligence and machine learning came forward to help augment human efforts to take on everything from health to agriculture.

Now businesses are more focused on what’s next and being prepared for an economic surge in the latter half of 2021. Here are five ways AI and ML will continue to shape multiple industries and integrate with other technologies to drive further innovation and change in the year ahead.

HealthCare

AI technology is rapidly expanding into all healthcare areas. The technology will only evolve in the year ahead and play a more prominent role in early detection of diseases, treatment and research.

AI in healthcare feels inevitable. In comparative healthcare, optimists predict that the AL/ML will diagnose disease more quickly and accurately. Drug discovery will speed up and streamlined and big data analysis will help to engage patients more efficiently than today’s healthcare system does.

E-Commerce

Artificial Intelligence (AI) and machine learning (ML) are continuously impacting the world of online shopping. Today, AI is helping eCommerce stores to operate and provide hyper-personalization services to their customers.

eCommerce stores can leverage AI and ML to boost their sales by providing a smart computer vision AI assistant for customer service.
In the era of millennials and Genz, customers want the experience to be smart and natural enough to provide intelligent product recommendations and visual search options.

Indubitably AI/ML will be going to provide a robust and practically helpful solution to the players of the ecommerce industry to enhance the user experience and to reach and influence more customers.

Agriculture

Agriculture is the oldest and the most pivotal profession known to mankind and the industry has been adapting Artificial intelligence (AI) as a means to better their efficiency in all aspects.

The agricultural land produces millions of data points everyday and AI/ML will help scrutinize farm data for better results. The farmers will be able to judge weather conditions with smart weather forecasting in order to choose the right time to sow and harvest. Image recognition method helps the farmers to identify the weeds/pest/disease in their farms and keep a tab on quality inspection.

Food is the most fundamental need for the living creature. The past couple of decades have only established that AI and ML will only make the agriculture industry stronger and more efficient day by day.

Manufacturing

Artificial Intelligence (AI) and Machine Learning (ML) plays many vital roles in manufacturing as it’s intrinsically connected with industrial IoT and drives industry 4.0. In order to drive innovation and improve profitability, AI and ML can give them all the advantages using BlockChain, Robotics, IoT, Yield improvement etc.

Benefits from AI and ML to manufacturing companies are listed below:

  • It will increase product quality
  • It will help to find and remove bottlenecks in the production process
  • It will improve visibility into the supply chain and distribution networks
  • It will help to detect the earliest signs of failure or anomalies o cut downtime and carry out repairs more quickly

Education Industry

Artificial Intelligence (AI) and Machine Learning (ML) has had a tremendous impact across industries, among them education. On the one hand, it is transforming the way institutions and teachers do their job, and on the other hand, revolutionizes the way students learn and grow.

Let us look at some use cases from across the world where AI and ML are already creating and will continue creating a difference.

  • Virtual assistance
  • Digital exams and assessment
  • Special education
  • Customized learning
  • Enrollment and admission process
  • Bank loans

Conclusion

Now, it is quite obvious that interacting with AI will soon become an everyday activity as AI means to the digital transformation what electricity has meant to human beings in the past. AI will be used to tackle profoundly difficult problems and find solutions that will be important. We can ensure that AI systems will be intentional, intelligent, and adaptable. The only biggest challenge for all of us will be how to manage all the upcoming changes and deal with such a transformation in the organizational structure and investing and developing skills among the entire workforce to adapt to new models which will bring positive results.

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