Top 4 Enterprise Use Cases Driving AI Demand
The best way to introduce AI solutions to your business? Target specific problems that need solving.
April 01, 2024 | By Ramasamy Palaniappan
The latest wave of innovation in tech is all about AI and how businesses can make themselves a front-runner in this new wave of productivity. Many people use “AI” as generic terminology, speaking to a group of variations ranging from generative AI, machine learning, deep learning, re-enforced learning and large language models. The reality is that these are all individual technologies, which can be used to deliver different solutions. For a conversation about AI for business to be truly productive, it’s best to focus on specific use cases.
Businesses interested in optimizing their processes through artificial intelligence should take the time to learn how and where solutions can be deployed and in what forms. Most use cases of artificial intelligence in business fall under four broad categories: each with their own level of complexity.
Productivity Improvement Solutions
The most basic and easily adopted set of AI tools is designed to boost individual productivity. Think of editing programs like Grammarly or meeting summarization for Teams through Microsoft Copilot. These tools help individuals write emails faster and create presentations quicker. They’re not doing any heavy lifting, and they don’t replace the creative drive behind the person completing the task.
These AI business applications are increasingly common and are designed to complement a skilled workforce. In terms of adaptation to your business, they often come in the form of a subscription package and are very easy to switch on or off functionally.
Business Automation Solutions
AI can optimize the way your service is delivered to customers. These tools enable automation, overseen by experts to ensure quality results. Their goal? Reduce the amount of manual input necessary to complete a task and mitigate the risk of human error.
These AI solutions for businesses can be deployed on top of existing systems like intelligent document processing, multilingual translators, speech-to-text, etc., in providing that last-mile connection to help automation less reliant on human input/intervention.
Industry-Specific Use Cases
Industries, like retail or healthcare or financial services, where you interact with end customers who have unique needs, is where AI solutions like an intelligent chatbot can be particularly effective. Basic chatbots can go only so far, working best when they funnel a customer directly to a predetermined question with answers that are more rules-driven. But what if a customer wants a personalized experience? Here is where businesses can get truly creative with AI solutions.
Say, for example, that in a healthcare provider scenario, the traditional appointment scheduling process can be a nightmare. Providers can better that experience by leveraging AI. You can build a system that assists administrators from the instant they receive a patient call and automatically blocks out the doctor’s schedule. Similar solutions have been reported to reduce the time and cost of appointment scheduling by more than 70%.
AI Governance
Many organizations have security and governance concerns when it comes to utilizing AI tools. Rightly so, as data can be a business’s most valuable asset, and there is a potential possibility of IP and copyright misuse. The good news is that a strong AI governance can help to ward off any risks while protecting sensitive data. Once a strong AI governance is in place, it becomes easier for organizations to adopt AI technologies and solutions faster.
