Nobody knew that a simple question, “Can machines think?“, posed by Alan Turing in his seminal article in 1950, will lead to humanity’s biggest invention so far, Artificial Intelligence. After 74 years now, AI has become an integral part of industries, for automated, error-less business operations that reshaped the whole industrial landscape. Enterprises are leveraging artificial intelligence in business workflow automatoin, market research, and customer support.
The Article Will Cover
What is Artificial Intelligence?
Artificial intelligence is a computer program that simulate and imitate human intelligence, It uses macine learning (ML) and natural language processing (NLP) to think, learn and solve problems. AI (Artifcial intelligence) can perform tasks and solve problems that require human cognitive functions like learing, thinking, reasoning, and perceiving for making decisions.
There are lots of definitions of Artificial Intelligence, but the one that offers a precise and to-the-point overview of AI is by MIT Technology Review as under:
Arificial Inteligence is A System That Mimics Cognitive Functions Associated with Human Intelligence…
MIT Technology Review
And the oxford dictionary defines artificial intelligence as,
the capability of a machine to imitate intelligent human behavior…
Oxford Dictionary
Emerging AI Trends in 2025
1. Agentic AI
A system or computer program that is capable of performing complex tasks and decision making without the help of human, except for data query. Agentic AI models uses human-like cognitive functions to analyze inputs for better and enhanced decision making. Leading companies like Deloite, Beam AI, Cognizant and DBOS are providing platforms to enable businesses to automate business workflow efficiently. there are also APIs providing platforms like Taam Cloud that provides variety of Agentic AI models to integrate artificial intelligence in business systems and applications.
2. Custom AI Chips
With the advancement of Artificial Intelligence, demand for AI-powered IoTs is increasing insanely, which also surged the demand for AI-specific hardware. Some famous and big tech companies like NVIDIA, AMD, Google, and Qualcomm are developing and producing custom silicon chips for AI that are optimized for high-performing computational capabilities to enhance the speed of AI models to reason and process complex queries to perform tasks and automate fast.
3. AI-Powered Cloud Migrations
Maintaining the technological pace, businesses are migrating to AI-powered Cloud computing for fast optimized IT infrastructure. Amazon’s AWS, Microsoft’s Azure and Click2Cloud’s Cloud Intel are famous cloud migration platforms that help businesses with automated data migration with improved security and reduced downtime.
4. AI Chatbots & Virtual Assistants
The emergance AI chatbots and virtual assistants changed the way bussinesses handle day-to-day tasks. They can help in quick and fast response for instant customer support services and automate responses for repetitive queries. They can enhance customer engagements by learning the customer behavior and natural language processing for the real-time response generation to the customized customer queries. Artificial intelligence in business can reduce wait times and enhance the customer experience.
5. Cybersecurity and Artificial Intelligence in Business
With the everyday tech advancement, fraudulent activities are also growing, raising cybersecurity concerns among individuals and businesses. AI is capable of identifying possible loopholes and anomalies in the systems to detect breaches, and with the help of agentic AI reasoning, it can make decisions to counteract the security threats before they even pose a threat. Companies and organizations tend to invest in AI-driven cybersecurity solutions to protect data and eliminate the risk of fraud and cyberattacks, ensuring their customers secure transactions.
Real-World Applications of Artificial Intelligence in Business
1. AI in Marketing and Customer Engagement
Artificial Intelligence in business workflow automation and marketing analyzes market trends and customer behavior to suggest customers with their preferred and desired products, enabling businesses to understand the market for business growth and product/service improvement.
Real-Life Example
Netflix uses machine learning to analyze viewers’ histories and recommend customized content according to the viewers’ interests, resulting in increased screentime and customer retention and loyalty. Sephora, a makeup brand, deployed chatbot for their customers for customized beauty tips and product recommendations.
2. AI in Healthcare
AI is reshaping the healthcare landscape by improving autonomous diagnosis accuracy, drug discovery in medication implementation, and personalized treatment with operational efficiency. It enabled the healthcare industry to better understand the disease and make actionable decisions. Even in pandemics, AI can predict and propose the anticipated results of drugs and vaccines.
Real-Life Example
IBM Watson Health is an AI-powered system designed for healthcare industries to help doctors with diagnosing and treating cancer. It can analyze research papers, clinical trials, and medical records to assist researchers and doctors. Google Deepmind’s AI can detect more than 50 eye diseases by analyzing eye scans faster using computer vision.
3. AI in Retail and E-commerce
Have you ever noticed product suggestions and recommendations while browsing Amazon?. Yes, that’s what large e-commerce stores are achieving with AI. Apart from personalized shopping experiences, AI is helping retailers and e-commerce stores with demand forecasting, product innovation, and inventory management.
Real-Life Example
Walmart uses AI to forcast demand by using machine learning and predictive analysis, analyzing existing sales data. It utilizes AI-powered robots for counting and managing inventory that boost efficiency and reduce manual labor. Zara, a famouse fashion brand, using AI for fashion trend forecasting and product improvement by analyzing sales data, custmer feedbacks and reviews, and social media.
4. AI in Finance
AI is a vital aid for cybersecurity in the finance industry with the growing threats of cyberattacks. Artificial Intelligence in business, for fintech, banks, and investment companies, is helping these organizations and users in fraud detection & prevention, credit risk assessment, wealth management, and autonomous trading for better yield.
Real-Life Example
To identify and prevent suspeciouse transactions and to reduce false positive, Visa and Mastercard use Artificial intelligence for fraud detection built by Mastercard. JP Morgan Chase & Co uses AI system Contract Intelligence (COiN) to automate contract and reduce compliance workload with efficiency.
5. AI in Manufacturing
The manufacturing industry is adopting Artificial Intelligence for business operations & process automation, quality control, and predictive maintenance. AI enables the manufacturing industry to optimize production with reduced downtime, and improved product quality, which result in higher production efficiency and saved cost.
Real-Life Example
Siemens and GE (General Electric) use Digital Twins, an AI-driven system that simulate virtual representation of physical product to test its behaviour, performance and characteristics of design and identify issues and errors. Tesla’s Gigafactories use AI robotics for car assembly automation for fast and efficient production.
How to Leverage AI for Business?
The demand for Artificial Intelligence in business is growing rapidily but, How a business can leverage AI and what are the factors to consider while plan to implement AI into businesses? here are some points to consider:
1. Identify AI Opportunities
Conduct a thorough in-house research on your business to identify key performances that can be improved with an AI system. And also an AI Audit to determine the areas for improvement. The ideal AI adoption areas could be cybersecurity, supply chain management, inventory management, marketing, sales and customer support.
2. Choose the Right AI Tools
The next step is to choose a right AI tool or AI model that is a good fit for your organizational objective regarding leveraging Artificial intelligence for your business. There are variety of tools ranging from AI agents, and chatbots to data analytical tools, the right one will depend on what you aim to acheive with AI.
3. Integrate AI into Business Operations
After the selection process, the next step is a bit technical but very important, integrating AI tool into your business requires deep knowledge and expertise of a developer or an AI API platform that provides AI APIs for easy integration. for example, Taam Cloud offers a single API endpoint to integrate AI into your existing systems that allows you to use 200+ AI/ML models for various business operations. where businesses can even teach AI models for their specific organizational objectives.
4. Train Employees on AI Adoption
After the integration process is done, the training of your employees comes next. The training of using and leveraging AI is an essential part of the growth in this fast paced technological advancement. Organizations should held events, webinars, and wrkshops specially designed for the specific AI tools integrated into the organizations to help employees understand the implementaion of Artificial intelligence in business.
5. Monitor and Optimize
Optimization and performance observation is a necessary step towards growth and efficient business process. organizations utilizing artificial intelligence in business process automation and manufacturing should conduct regular checkups and evaluation to optimize Ai capabilities and achieve business objectives efficiently. AI Observability enables organizations to monitor and measure AI capability and look for improvements.
conclusions
Artificial intelligence is reshaping businesses across industries globally by automating business workflow and manufacturing operations, analyzing data for marketing and sales, streamlining customer engagements and trends predictions. AI is enabling organizations to achieve more effiecient business operations and reduce humanlabor and cost.
With emergance of variouse AI models and AI API platforms, integration of Artificial intelligence in business has been very easy for enterprises, businesses and developers across various industries around the globe. AI platforms also enable organizations to test, train, deploy and keep track of the performance of their trained or pre-trained AI/ML models.