AI in Business: The backbone of transformation

Artificial intelligence is not just a tool, it is the driving force behind the new era of business transformation.What was once regarded as 'the technology of the future' is now seamlessly woven into our daily lives.From students assignments to business operations, AI constantly helps in boosting proficiency and sparking creativity. 

AI helps businesses in automation of workflow and repetitive tasks. AI powered automation helps businesses to increase productivity and decrease the margin for human error. Traditional automation is often perceived as more rigid. It follows a set of rules and cannot adapt easily to the ever changing data trends. This is where AI automation comes handy, AI automation is more flexible and can adapt overtime to the needs of the business. AI can transform raw data into useful insights. This is done to predict data patterns and analyse future trends. Customer engagement, transactions, social media prove to be valuable insights if analysed correctly. The mentioned examples fall under the category of unstructured data. Unstructured data is unorganised but it has a lot of potential.Using machine learning and Natural language processing (NLP), AI can extract the useful data from the unorganised data information and organisations use these data insights for its betterment. AI helps in such analysis and thus shapes an organisation into an industry leader. 

AI also proves to be crucial in understanding and decoding customer reviews and enhancing personalisation and interaction.A global fast food chain used AI to analyze social media complaints about drive-thru wait times. The organization adjusted staffing and reduced wait times by pinpointing peak hours and customer frustration levels by 20%.This example demonstrates how AI can drive customer satisfaction and solidify a business’s standing in the market. 

AI is intensively used in manufacturing, especially for quality control. AI does this using machine vision technology . If a product is different from usual output, it is separated from the rest of the inventory and it is either discarded or sent for correction. AI is becoming increasingly popular in the retail sector as well. Over 90% of retail decision makers agree that AI will enhance retail operations. 

AI is also extremely useful as it helps businesses in cutting costs.In supply chain management, 41% of respondents saw a cost reduction of 10% to 19% after implementing AI. Around 20% of marketing and sales teams, 32% of manufacturing departments, and 25% of HR leaders had similar cost savings. However,the question of how AI reduces costs lingers. To understand the role of AI in cutting costs, let's use this case study. Airbnb uses AI to analyse guest behaviour, generate listing summaries and make custom recommendations. It also uses chatbots that are available all the time to help customers with the booking process.It uses AI to protect users from spam and fake profiles.Further, its pricing strategy is also at times determined by AI in order to make the prices adjusted according to the seasonal demand. All this helps the company cut

operational and overhead costs. AI is also key to productivity and job creation. AI helps employees complete tasks quicker and with more efficiency. Minor tasks which sometimes lead to waste of employees' valuable time can now be done by AI and the time can be used to fulfill tasks that demand more complex problem solving or human thinking. With this newfound boost in productivity, job creation is supported. 

While AI offers numerous opportunities for growth, it also presents obstacles to businesses. In order to fully utilise the potential of AI, a business must possess employees who have the necessary skills and experience to operate AI solutions effectively. Businesses usually face a shortage of such employees and hence incur expenditure in employee training and recruitment of persons with such specialised skill sets. There is also the factor of cost and time of implementation. Many businesses who are not familiar with the technology may need to outsource implementation and maintenance in order to successfully integrate AI in their business operations. With AI, comes the risk of malfunction.Any error in the technology can cause the business to suffer heavy losses. This was seen when twitter's chatbot got hijacked. AI in business leads us to many questions regarding ethical concerns.Who shall be accountable if AI messes up? What if there are biases in the decision making? To ensure that such risks are minimised, businesses need to make sure that AI technology adheres to ethical, moral and safety norms. 

By 2030, the global AI market is expected to reach $826.70 billion. Hence it is safe to assume that in the near future competitive differentiation will largely rely on AI implementation in businesses. Businesses that strategically implement AI solutions will  be primed for growth. AI is no longer a futuristic concept, it is a crucial element in shaping today's businesses. From automating tasks and analyzing unstructured data to enhancing customer experiences and cutting costs, AI is revolutionizing the way businesses operate. As we move forward, AI will not just be a tool but a cornerstone of business growth and innovation.