9 Examples of Artificial Intelligence Transforming Business Today

How AI is transforming businesses worldwide

Post the PC and the dot-com revolution, the world is witnessing another significant disruption- Artificial Intelligence.

Businesses that implement AI applications will have better access to data across multiple functionalities such as customer relationship management, enterprise resource management, fraud detection, finance, people operations, IT management, and other crucial segments. AI helps businesses find solutions to complex problems in a more human-like way and automate processes. Organizations can redirect their resources towards more creative aspects such as brainstorming, innovating, and researching.

The COVID-19 pandemic required solutions in days, not weeks or months, and business leaders needed to act quickly. AI-based techniques and advanced analytics are helping organizations augment decision making during crises like the coronavirus. While machine learning models were a great choice, developing machine learning models or advanced analytical models would take around four-eight weeks. So, the pandemic accelerated the demand for developing minimum viable AI models quickly.

Despite the many naysayers who believe robots will take over human jobs in the future, AI is already revealing itself as more of an enabler than a disruptor. Here are nine examples of artificial intelligence transforming business.

Read more: How Will Artificial Intelligence Transform The World By 2030 

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1. Sales and business development

As lockdowns and stay at home orders continue, people are now moving from personal interactions to digital interactions such as online shopping and mobile banking. This shift has created many new and unstructured data that is hard to interpret. That’s where AI comes into the picture and helps understand what consumers feel and need.

AI-powered sales performance solutions can identify which customers are most likely to buy a company’s product or service. This model will help people in sales prioritize their customers and improve their productivity and effectiveness.

2. Demand and Supply

Most companies are interested in matching demand and supply. For instance, a steel company may have information about various factors that may influence steel demand. Typically, these demand measures depend on external data to match up with what the company’s supply chains can generate.

AI solutions help analyze these external data and ensure that the company is not producing more than you need to satisfy the demand and not leaving any request unfulfilled.

COVID-19 crisis is unprecedented, and companies have to make sure that they use data that is representative. Historical data allows you to gain insights into upcoming demand patterns and predict possible outcomes. 

3. Back-office tasks

Companies can leverage AI-powered cognitive assistants to perform their back-office tasks such as ordering new credit cards, canceling orders, or issuing refunds. If these assistants cannot handle complex tasks, human assistants can perform those tasks. It will ensure that the team members spend their time solving challenging problems and focus on productive activities.

As long as there are structured tasks, Robotic Process Automation can take care of back-office service operations. RPA is particularly useful for automating the claims processes of banks or insurance companies. Enterprise platforms like SAP offer Intelligent RPA that combines automation and artificial intelligence to augment business process automation. 

4. Cash-flow forecasting

As revenue systems dry up, cash flow is likely to be a severe concern for smaller businesses. However, several AI solutions can analyze data (only if representative) for cash-flow forecasting. 

Read more: 6 Ways Artificial Intelligence Is Driving Decision Making 

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5. Document and identity verification

AI can identify and verify documents easily. For example, think of a bank that needs to verify customer data for onboarding and compliance. Human agents manually verify documents such as driving licenses or payslips and other relevant records. It is a costly and inefficient process.

AI is used to identify the type of ID document captured, perform face-matching, determine if the ID’s security features are present, and even determine if the person is physically present.

6. Travel and transportation

The transportation industry forms an integral part of a country’s infrastructure. As many employees may have to self-isolate during the COVID-19 crisis, AI solutions can analyze the number of staff needed by a travel company to run its business in these unprecedented times. For example, a company can request AI to provide information on whether they have enough workers to staff a railroad. Here, AI can help identify demand and supply from the laborers’ standpoint. 

AI is already being used in the transportation industry to reduce traffic congestion, avoid accidents, improve passenger safety, lower carbon emissions, and reduce overall financial expenses. 

7. Healthcare

From robot-assisted surgeries to safeguarding personal records against cybercrime, Artificial Intelligence is transforming the healthcare industry like never before. The healthcare industry has suffered in terms of medical costs and inefficient processes. 

AI-enabled workflow assistants are helping doctors free up 17% of their schedule. Virtual assistants are reducing redundant hospital visits, thereby giving nurses almost 20% of their time back. Also, AI helps pharmaceutical companies research life-saving medicines in a shorter time frame and reduce costs. More importantly, AI is being used to help improve healthcare in underdeveloped nations.

Read more: 7 Major Impacts of Technology in Healthcare 

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Examples of AI in healthcare:

  • PathAI creates AI-powered technology for pathologists to help them analyze tissue samples and diagnose them more accurately.
  • Atomwise uses AI and deep learning to improve drug discovery and to speed up the work of chemists.
  • Pager is using artificial intelligence to help patients with minor pains, aches, and illnesses.

8. Finance

The financial sector relies on real-time reporting, accuracy, and processing of high volumes of quantitative data, where AI can enhance the processes. The finance industry is rapidly implementing chatbots, automation, algorithmic trading, adaptive intelligence, and machine learning into financial operations. For instance, Robo-advisor, an automated portfolio manager, was one of the biggest financial trends of 2018.

A few examples of how artificial intelligence transforms the financial industry:

  • Betterment uses AI to learn about an investor and create a personalized investor profile based on their financial plans.
  • Numerai is an AI-powered hedge fund that uses crowdsourced machine learning from many data scientists worldwide.

Read more: Artificial Intelligence and Machine Learning: The Cyber Security Heroes Of FinTech 

9. Social Media

With over 3.6 billion active profiles and about $45 billion in annual revenue, social media is invariably in the battle to personalize and provide a better experience for users. 

AI can organize massive amounts of data, recognize images, predict shifts in culture, and introduce chatbots. The technology has the potential to make or break the future of the social media industry.

Similarly, machine learning enables social media to identify fake news, hate speeches, and other anti-social activities in real-time.

Final thoughts

With the advancement in technologies, AI is improving possibilities taking businesses to the next level. These examples of artificial intelligence prove that artificial intelligence can transform business models if deployed correctly. 

Case Study: Development of AI-enabled chatbots and teaching assistants – How Fingent helped a leading university to create an Automated Intelligence-driven ecosystem

Fingent helps you leverage AI to drive the smart reinvention of your business workflows, processes, and technology. If you are looking to develop an intelligent infrastructure for your business or improve the security process or enhance the customer experience, contact us today! 

 

 

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    About the Author

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    Tony Joseph

    Tony believes in building technology around processes, rather than building processes around technology. He specializes in custom software development, especially in analyzing processes, refining it and then building technology around it.He works with clients on a daily basis to understand and analyze their operational structure, discover (and not invent) key improvement areas and come up with technology solutions to deliver an efficient process.

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