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.

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Computing’s bright young minds and cleaning up satellite streaks

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Is cybercrime the new aml in the boardroom

Board-level attention to cybercrime is rising, driven by findings in the diligent 2025 governance trends report and the boardroom resilience 2025 whitepaper. Generative Artificial Intelligence has expanded the attack surface, which the article links to rising costs and operational vulnerabilities.

Norway 2025 government artificial intelligence playbook

Norway moved from talk to build on artificial intelligence in 2025, naming Nkom as national supervisor, launching KI-Norge and beginning obligations under the EU artificial intelligence act. Expect mandatory DPIAs, 72-hour breach reporting and centralised oversight tied to accreditation and sandboxes.

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