Applications of artificial intelligence (AI) are the wide-ranging uses businesses and organizations have found to harness and take advantage of Big Data and powerful computer processing. Companies in any industry with collected information — that is, nearly every business — can apply AI to make better decisions, improve productivity, and reach more customers.
Information-intensive industries such as marketing, healthcare, and financial services, among others, are especially likely to benefit from applications of artificial intelligence. By applying AI to routine and repeatable transactions and processes, you can free your employees’ time for more productive and creative endeavors. And AI applications can also help you discover insights that would otherwise take months or years to develop.
Application of Artificial Intelligence in Business
There are nearly as many examples of applications of AI in business as there are businesses. By applying AI to your business challenges, you can reap the benefits of your collected data and machine processing tools. Here are how a few industries have taken advantage of applications of AI.
Marketing and Advertising
Artificial intelligence applications for marketing and advertising are among the most prevalent and useful for marketing agencies and the businesses that partner with them. By predicting and generalizing customer behavior, AI can provide marketers a 360 view of customers, enabling them to better target and personalize marketing and advertising campaigns.
Cybersecurity
Artificial intelligence allows cybersecurity businesses to automatically sort data in their networks into high-risk and low-risk information, enabling them to focus on the attacks that have the potential to do real harm.
Finance
Financial institutions use artificial intelligence to flag unusual transactions for further investigation. Banks also use AI to streamline operations and make optimized stock trades much faster than humans can.
Government
Artificial intelligence applications in government include smart voting systems, traffic systems, emergency services and interactions with the public (with virtual assistants).
Healthcare
One of the primary applications of artificial intelligence in healthcare is classification, such as the automation of test evaluations and identifying high-risk patients for population health. AI is also used to improve diagnoses, optimize drug dosages, determine treatments, and even assist with surgeries.
Legal
Artificial intelligence applications help legal firms deal with the massive amounts of documentation inherent to the profession — doing the work previously assigned to entry-level lawyers. U.S. courts have also applied AI to assessments of recidivism.
Human resources and recruiting
The application of artificial intelligence has dramatically improved the speed and quality of recruitment for businesses. AI can be used to scan and screen candidates based on their résumés, predict candidate suitability and success, and automate repetitive communications.
Customer service
Artificial intelligence can be applied to help customers via automated assistants, reducing operational and training costs in industries such as retail. As AI improves, and with advancements in speech recognition technology, customer support chatbots can take on increasingly challenging customer requests.
Media
Artificial intelligence applications can help analyze audiovisual media content, such as movies, TV, advertisements, and user-generated content (UGC). One typical use case is the use of AI for image analysis via object or face recognition techniques. Some publishers have applied AI to writing, generating sporting event articles and financial reports, among other published content types.
Automotive
Applications of artificial intelligence are widely prevalent in new cars. AI-based driver-assist features include self-parking and advanced cruise controls — forerunners of fully autonomous vehicles using artificial intelligence applications.
Manufacturing
Artificially intelligent robots are common in manufacturing businesses such as automakers, performing repetitive tasks that could be dangerous for humans.
Frequently Asked Questions
What Is Artificial Intelligence?
Artificial Intelligence is the science of training machines (computers) to execute human tasks. AI is based on the understanding that a computer can absorb information from its surroundings and learn accordingly, just like a human.
What Are Some Applications of AI in Real Life?
In real life, applications of artificial intelligence (AI) can be found across various industries such as marketing, finance, healthcare, gaming, and ecommerce. These include AI applications for targeted advertising, online trading, drug dosing, computer players in videogames, and personalized recommendations.
What Are Intelligent Applications?
Applications of artificial intelligence may also be considered intelligent applications, or intelligent apps. These apps leverage data and AI to automate routine tasks and deliver personalized experiences to users, ultimately improving business processes and results.
What Is Artificial Intelligence Used For?
AI helps make sense of the increasingly vast amount of data available to businesses today, including the quickly changing preferences and customers’ make-ups. AI provides actional insights that can boost revenue, improve customer experience, increase productivity and efficiency, and drive business growth and transformation.
What Are Artificial Intelligence Products?
Like intelligent applications, artificial intelligence products are software applications that leverage Big Data and machine learning to enable businesses to improve processes, understand their customers, and deliver products and services that delight users. Artificial intelligence-based products can mimic human behavior and learning patterns and are used for everything from customer service and sales to data analysis and IT task automation.
Snowflake and AI
Snowflake is empowering cutting-edge technologies like machine learning (ML), artificial intelligence (AI), and generative AI to enhance data-driven decisions. With generative AI, teams can discover precisely the right data point, data asset, or data insight, making it possible to maximize the value of their data.
That’s why Snowflake has recently acquired three companies that are helping bring advanced AI and deep learning to the Data Cloud:
- Neeva, a search company founded to make search even more intelligent at scale. Neeva created a unique and transformative search experience that leverages generative AI and other innovations to allow users to query and discover data in new ways.
- Streamlit, which developers use as their go-to platform to experiment and build LLM-powered, generative AI apps.
- Applica, which uses deep learning to sort and process information, regardless of data type.
Learn more: Using Snowflake and Generative AI to Rapidly Build Features