Current Use Cases for AI

Advances in technology and the invention of specialized machines over time have empowered many companies to make their business operations more efficient. Such technological solutions have become more mainstream for use in creating content and boosting productivity. Utilizing technology can garner results that benefit businesses as professionals can program robust software and set high-tech devices and intelligent machines to learn specific skills, thus completing tasks or duties usually performed by humans. Machines can learn how to perform specific human-like jobs because of artificial intelligence (AI).

Artificial intelligence algorithms enable machines to use large amounts of big data and recognize patterns in data to learn from experience, make decisions, and adapt to new inputs. AI-powered devices use information from various sources; instantly analyzing the material and acting on data-generated insights. These capabilities make AI-backed solutions superior to passive machines that can only provide predetermined or mechanical responses.

The economy and various industries have a growing reliance on AI and automation, and this reliance will likely continue growing in the future. AI-powered automated solutions can enhance the efficiency and productivity of many businesses. For this reason, many people have concerns and fears that the utilization of AI and robotic solutions will cause human labor to ultimately become obsolete. However, technological advancements, automation, and AI algorithms can augment human work and abilities. Artificial intelligence algorithms can supplement human work by bringing analytics to fields and industries that don’t utilize it enough, improving the performance of analytic technology that’s already in use, eliminating translation and language barriers, and more. Listed below are some common and current use cases for artificial intelligence.

1. AI can improve e-Learning and online education.


Through artificial intelligence, industries can deliver e-Learning solutions to professionals in various sectors. Experts project the e-Learning industry to reach a $243 billion value by 2022 and approximately $325 billion by 2025. Various industries can benefit from utilizing an e-Learning business. Professionals in all sectors and customers can benefit from consuming online materials designed for onboarding and internal training or product training.

Numerous industries use AI-backed e-Learning technology. The education, healthcare, retail and e-Commerce sectors engage in significant utilization of e-Learning tools. For instance, healthcare organizations may employ a course creator to make certification programs for their health learning management system. Likewise, educational institutions and online schools deliver instruction through e-Learning forms, including, but not limited to, text lectures, podcasts, tutorials, or online courses.

E-Learning platforms backed by AI enable instructors to give learners the correct answers to questions and concerns in real-time, deliver personalized learning sessions, and efficiently create fresh course content.

2. Entrepreneurs can utilize AI to offer personalized services.

One of the best real-life examples of supervised learning is how businesses implement artificial intelligence in retail and service operations. Supervised machine learning enables a program to use pattern recognition to apply previously learned concepts to new data so that the machine can perform specialized functions. AI can help retail businesses optimize their operations. For instance, AI has the potential to improve site layout technologies and stock management systems. Likewise, AI makes virtual shopping possible and equips businesses to offer personalized product recommendations to customers. Such technology is why internet users may receive product recommendations on sites like Google and Amazon—artificial intelligence enables sites to study products that users show interest in and bring similar or related products to their attention.

3. AI can optimize customer service operations.


Artificial intelligence has streamlined customer support, as it enables customers to interact with bots via live chat and choose their preferred communication method when contacting customer support. Customer analytics tools and virtual assistants allow customer contact centers to be more efficient and productive at meeting consumer needs and answering customer queries.

Companies in any niche can leverage the best AI call center software available to harness virtual assistants and bots’ benefits. Empowering a call center with the AI-powered contact center software by Bright Pattern—a business leader in call center software solution—allows companies to provide more pleasant customer experiences. Bright Pattern’s AI call center software integrates AI and bots with other communication channels. This high-quality solution includes automated routing, full context bots, automatic notifications and alerts, interactive voice response (IVR) and self-service, speech recognition, text recognition, and omnichannel quality assurance. Such technology results in a robust omnichannel contact center that includes advantageous features such as automation, efficient assistance from virtual agents, enhanced agent empowerment, and higher quality customer interaction.

Professionals with technical expertise will likely modify existing AI and machine learning algorithms and develop new ones as industries, technology trends, and automated solutions continue evolving. Artificial intelligence is beneficial to many industries as it can be effective at amplifying the speed, precision, and accuracy of human efforts across all sectors of business. Furthermore, as technology trends and automated solutions continue evolving, AI will likely contribute to creating new jobs and business opportunities related to innovative automation and new technology across many emerging industries.