Top artificial intelligence applications transforming our world

An overview of what artificial intelligence applications are, the technologies that power them and the most common real-world use cases across industries.

Artificial Intelligence applications are software programs that apply techniques such as machine learning, natural language processing and robotics to automate tasks and mimic cognitive functions. The article defines generative artificial intelligence and large language models (LLMs), noting that all LLMs are a form of generative artificial intelligence but not all generative artificial intelligence tools are built on LLMs. Common building blocks include predictive analytics, recommendation engines, computer vision and virtual assistants.

Top applications described include generative artificial intelligence and LLMs for chatbots, virtual assistants, language translation and reporting, and for creative outputs such as targeted advertising content, virtual product try-ons, music and video. Recommendation engines use behavioral data to surface relevant products and content. Computer vision teaches machines to interpret images and is widely used in manufacturing for defect detection. Natural language processing powers customer service chatbots and voice assistants such as Amazon’s Alexa. Predictive analytics helps organizations forecast supply chain issues and mechanical failures by recognizing patterns in large datasets.

The article reviews industry-specific uses of artificial intelligence. In healthcare, applications range from administrative automation and extraction of information from unstructured records to accelerating drug discovery, citing researchers at the Massachusetts Institute of Technology using artificial intelligence to design antibiotics that target drug-resistant MRSA. Advertising uses artificial intelligence for personalization and delivery optimization. Financial services apply it to fraud detection, risk management and compliance. Retail uses recommendation engines and dynamic pricing. Manufacturing leverages artificial intelligence for smart manufacturing, predictive maintenance and quality control. Education, gaming and customer service also benefit from automation, personalization and sentiment-aware responses.

An FAQ section lists common business applications such as customer service, accounting and finance, sales and marketing, supply chain management and human resources. The piece notes ChatGPT as the most used artificial intelligence application by monthly site visits and references Visual Capitalist’s ranking of popular chat tools including ChatGPT, DeepSeek, Claude, Gemini, Character.AI and Perplexity. It also highlights Snowflake customer examples such as Wargaming and IGS Energy and points to Snowflake resources for building artificial intelligence solutions.

65

Impact Score

How Intel became central to America’s Artificial Intelligence strategy

The Trump administration took a 10 percent stake in Intel in exchange for early CHIPS Act funding, positioning the struggling chipmaker at the core of U.S. Artificial Intelligence ambitions. The high-stakes bet could reshape domestic manufacturing while raising questions about government overreach.

NextSilicon unveils processor chip to challenge Intel and AMD

Israeli startup NextSilicon is developing a RISC-V central processor to complement its Maverick-2 chip for precision scientific computing, positioning it against Intel and AMD and in competition with Nvidia’s systems. Sandia National Laboratories has been evaluating the technology as the company claims faster, lower power performance without code changes on some workloads.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.