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AI in Industry

AI in Industry: The Role of AI

Artificial intelligence – AI in industry is revolutionising across the globe, transforming how businesses operate and compete. From finance to healthcare, AI technologies are driving innovation, efficiency, and growth. In this article, we explore which industries benefit the most from AI, highlighting the sectors poised to experience the greatest advancements and improvements. Discover how AI is set to reshape the future of various fields, delivering unprecedented value and opportunities.

The Types of Industries Impacted by AI

AI in Industry: Finance and Accounting

The financial industry is increasingly relying on AI to help detect and prevent fraud, taking advantage of its capacity to identify abnormalities and inconsistencies in data. AI helps detect patterns suggestive of fraudulent activity by analysing large datasets in real-time. Furthermore, AI-powered chatbots improve customer service by providing timely replies and financial advice.

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Furthermore, loan decisions are now made using sophisticated algorithms that take into account all of the borrower’s information, rather than traditional credit scores and background checks. AI outperforms humans in stock markets by identifying trading inefficiencies and executing transactions quickly. The algorithmic trading business is expected to reach a whopping $19 billion in yearly revenue by 2024, highlighting AI’s fast rise in financial markets.

AI plays a unique role in the financial services industry, notably in insurance. Traditional human underwriting methods are being replaced by AI-powered risk evaluations that use large datasets such as medication histories and pet ownership information. AI handles simple claims, using chatbots for customer communications and machine vision to analyse car damage.

As AI and machine vision capabilities improve, humans’ role in claims determinations is projected to decrease. An example of AI application in the financial sector is AlphaSense, an AI-powered search engine designed for the finance industry. It employs natural language processing to analyse keyword searches in filings, transcripts, research, and news, uncovering changes and trends in financial markets.

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AI in Industry: Manufacturing

AI-driven smart factories transform industrial processes, increasing efficiency and productivity. Predictive maintenance approaches powered by AI predict equipment breakdowns, minimising downtime and considerably lowering expenses. AI technologies facilitate supply chain optimisation in manufacturing, resulting in smoother operations and resource utilisation. AI’s function extends to boosting efficiency through predictive maintenance and quality assurance methods, which boosts overall production.

Furthermore, AI-driven demand forecasting matches production to market demand, allowing producers to maintain appropriate inventory levels. The convergence of these AI-driven projects yields a leaner, more adaptive production process, suited for negotiating the intricacies of the global supply chain environment.Various companies are using AI in the manufacturing industry such as Siemens, Intel, IBM and many more.

AI in Industry: Healthcare

AI’s involvement in healthcare is expanding rapidly, and it is predicted to be critical in precision medicine. Individualised therapy based on genetic profiles and medical histories will become the norm. AI-powered diagnostic technologies will enable faster and more exact diagnosis, hence improving patient outcomes. Furthermore, virtual health assistants and chatbots will give tailored assistance and information around the clock.In healthcare, examples of companies utilising AI include GE Healthcare, NVIDIA, and Canon Medical Systems.

AI in Industry: Education

AI is transforming education by providing customised learning experiences based on each student’s specific requirements and interests. Adaptive learning systems use AI to tailor material, pace, and learning styles to individual students, improving understanding and engagement.

Intelligent tutoring systems provide real-time feedback and dynamically adapt courses based on student performance, promoting successful learning outcomes. AI-powered exams give precise insights into student development, allowing educators to make more informed judgements regarding teaching tactics and interventions.Examples of companies integrating AI into their operations include 360Learning, Age of Learning Inc., and many others.

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AI in Industry: Retail

AI improves the whole experience for retail customers. Retailers use AI to assess client preferences, habits, and purchase history, allowing them to provide tailored suggestions. Chatbots and virtual shopping assistants offer instant assistance, increasing client pleasure and convenience. AI-driven inventory management optimises stock levels and enhances supply chain efficiency, resulting in smooth operations.One example of businesses using AI in retail is the online store SHEIN, which uses AI to personalise the shopping experience by predicting fashion trends and generating product recommendations.

AI in Industry: Energy

AI advances the energy sector by optimising usage, forecasting demand, controlling renewables, and checking infrastructure. Algorithms examine sensor and IoT data to improve energy use in buildings and manufacturing processes. Predictive analytics assist energy corporations in planning for demand trends, while artificial intelligence adds to environmentally friendly energy sources. Businesses also utilise AI to examine seismic data, hence boosting resource extraction decisions.

AI can now monitor electricity networks using drones and other imagery sources, thanks to improved image processing. Anticipating energy consumption is critical, especially with the move to renewables, and AI may help with educated storage and use decisions. ABB, AutoGrid, Bidgely, C3.ai, Drift Marketplace, Fluence, mPrest, SparkCognition, Stem, and Uplight are a few of the top providers of AI to the energy industry.

AI in Industry: E-Commerce

E-commerce was an early adopter in integrating and demonstrating the ability of AI technologies to improve online consumer pleasure. AI enables e-commerce sites to use collected data on consumer behaviour from numerous touchpoints to understand exactly which specific items customers desire, make the proper merchandising selections, implement the right optimisation, and, finally, create a happy user experience.

E-commerce platforms increasingly use artificial intelligence (AI) to watch and evaluate client interactions and purchase habits, directing strategic decisions. They customise online shopping experiences by generating specialised product suggestions to increase sales. AI also makes it easier to upsell and cross-sell at the checkout, increasing order values. Furthermore, chatbots provide effective customer service, increasing satisfaction and retention.

In general, AI improves conversions, ROI, and brand recognition, which contributes to the success of e-commerce websites.

The most prominent example of a company utilising AI in the field of E-commerce is Amazon. The e-commerce giant utilises AI, data-driven analytics, and machine learning to enhance customer satisfaction, eliminating guesswork and improving efficiency beyond human capabilities.

AI in Industry
AI in Industry

AI in Industry: Cybersecurity

Businesses face substantial risks from information security breaches due to the expensive nature of recovery.AI facilitates ongoing evaluation of cybersecurity threats through the analysis of extensive datasets, automatically responding to identified threats.

This encourages a proactive stance to prevent cyberattacks, strengthening data security measures. Palo Alto Networks is a cybersecurity company based in the US which offers security management systems and firewalls. Its renowned AI-powered platform, Cortex, assists in the real-time detection and mitigation of complex threats.

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AI in Industry: Logistics

The logistics industry currently depends on expert insights to ensure smooth product transportation. AI and machine learning are augmenting this expertise to achieve even greater efficiency. Some US states have already deployed autonomous truck fleets, with the UK expected to follow suit by 2030.

AI-driven systems are poised to take on route planning and scheduling responsibilities for these vehicles in the foreseeable future.An example of a company implementing AI in the logistics sector is FourKites, an American company specialising in AI solutions for route optimisation.


Overall, sectors that benefit the most from AI in 2024 are those that rely on data-driven decision-making, personalised customer experiences, and process optimisation. AI is transforming industries, improving decision-making, and increasing efficiency in everything from manufacturing to logistics, healthcare, and finance.

As AI develops further and shapes a world where creativity and advancement flourish, the future is incredibly promising. Nonetheless, we must ensure responsible AI deployment and address ethical issues as we embrace this technology.As AI technologies continue to advance, we can expect to see even greater impacts across various industries in the coming years.

Hilary Agbo