Demystifying Opportunities in Different Types of AI
06.17.25
Artificial intelligence has been called many names — a game changer, a lifesaver and even an existential threat. Despite varying views, most agree that they don’t know how to activate AI to their advantage. That’s why we’re demystifying types of AI and illuminating the opportunities they offer.
Discover how starting a partnership with Paradigm’s software and technology team will activate AI tools for your organization.
Applications of AI
The goal of AI is to streamline processes by removing the need for constant human input. These tools yield the following benefits:
Automation
AI tools may automate tedious tasks. For example, Google Analytics 4 (GA4) uses AI to detect trends and opportunities in your data and automatically present them on the Insights dashboard. This reduces the time required to sift through data, enabling faster decision-making.
Anticipation
Some AI tools anticipate consumer behaviors. For example, iPhones offer a predictive text feature for text messages, search queries and beyond. This built-in AI tool analyzes typing habits, context and other factors to guess what you’ll type next.
Personalization
Other AI tools create experiences that consumers feel were made for them specifically. Amazon is a common example, as its algorithms analyze your browsing behavior and recommend new products that you might want to purchase.
Types of AI We Encounter
AI comes in many forms — some obvious and others a bit more obscure. While it’s impossible to cover everything, our software and technology team broke down the types of AI you might encounter in the wild.
Conversational AI
Conversational AI holds a conversation with users and provides timely, relevant responses. This category of AI uses techniques like natural language processing (NLP) to comprehend user queries and formulate an appropriate answer.
Nearly 80% of users have encountered chatbots online — making them one of the most common ways we see conversational AI in the wild. From legal websites to e-commerce platforms, chatbots provide instant customer service at all hours.
Other common uses of conversational AI include:
- Voice Assistants
- Interactive Voice Response (IVR) Systems
Generative AI
Generative AI creates new content, including text, graphics and even videos. These types of AI tools are trained with vast amounts of data, allowing them to learn patterns and generate new content that mimics those patterns.
Generative AI tools, like ChatGPT and DALL·E 3, speed up the process of creation. Though helpful, organizations should approach them with a degree of caution. Due to a reliance on input, these tools are prone to bias, misinformation and unreliable output. They require near-constant oversight from a software and technology team to mitigate risk — making them difficult to manage independently.
Audio AI
Audio AI processes, generates and enhances audio. This is a relatively new area of AI technology that is being rapidly adopted in industries such as media, healthcare, security and smart devices.
In a notable example, Spotify launched an AI DJ that personalizes music playlists based on user preferences. Through AI voice synthesis, the tool mimics the voice of Spotify’s Head of Cultural Partnerships, Xavier Jernigan. In this case, audio AI enhances the user experience via personalization.
These types of AI are used for:
- Text-to-Speech
- Voice Cloning, Generation or Dubbing
- Emotional Speech Recognition
- Sound Event Detection
- Music Recommendations
Search Engine AI
Search engines have always been ahead of the curve, utilizing AI well before it became popularized. Before 2010, search engines were utilizing basic AI techniques such as semantic matching. Now, search engines deeply integrate AI — providing faster information retrieval and customized answers to complex topics.
For example, Google stepped up its answer capabilities with the launch of AI Overviews in 2024. Overviews utilize artificial intelligence to pull information from multiple sources. Ultimately, this feature yields more conversational yet comprehensive answers to queries.
Augmented Reality
The general public often lumps augmented reality (AR) into conversations about types of AI. However, any software and technology team will tell you it is a technology of its own.
AR overlays digital information, such as images or videos, onto the real world through devices like smartphones or headsets. AR tools give way to immersive learning, development or engagement.
Big brands are activating AR features to enhance their consumer experience. For instance, Amazon’s “View in Room” feature lets users place products in a room virtually before making a purchase. This feature visualizes how furniture and decor will fit in a space — ensuring consumers are satisfied with their purchase.
Explore Types of AI with Paradigm
AI is in a constant state of evolution. Acquainting yourself with the categories is the first step to brand innovation — and sourcing technology expertise to activate types of AI the next.
For over 25 years, Paradigm New Media Group has been keeping pace with marketing technology. Our software and technology team is well-equipped to implement AI tools that will help you:
- Analyze user behavior.
- Enhance website engagement.
- Personalize marketing materials.
- Create immersive brand experiences.
Let’s optimize your operation — contact Paradigm’s technology team below:
