What is Composite AI & Why is it Important in 2024?

Artificial intelligence (AI) has opened new capabilities for businesses with a diverse set of use cases across sectors. To achieve the best results in tackling complex business problems, companies often combine different AI with other analytical techniques. Composite AI, also known as multidisciplinary AI, is the emerging term for integrating different AI technologies into a single solution in a systematic way to approach complex business problems holistically.

What is composite AI?

Composite AI is an approach to solve diverse business problems by combining multiple analytical techniques such as:

• Machine learning / Deep Learning
• Natural language processing (NLP)
• Computer vision (CV)
• Descriptive statistics
• Knowledge graphs

Why is composite AI important now?

AI adoption in business is increasing, but standalone approaches can fall short in solving complex business problems. Moreover, successful AI applications require large datasets which are not always available.

A unified approach to different analytical techniques can help businesses in solving complex problems and reducing costs by:

• enabling human-like decision making
• reducing the necessity of large data science teams
• allowing users to gain insights from small datasets

Such benefits are why Gartner identified ¹ Composite AI as one of the top emerging technologies with a high impact on business over the next several years. 

How does composite AI work?

Composite AI is not a predetermined set of techniques. Businesses can create their own pipeline of analytical methods according to their business problems. For instance, if improving customer experience is your business problem, a composite AI approach would involve NLP, several ML algorithms, and descriptive statistics. The key point is to integrate these diverse methods to generate value consistently.

Alternatively, companies can use composite AI platforms that take business data, offer customization of different analytical techniques, generate insights, and learn from feedback. There is a limited number of such platforms since the approach is relatively new but we expect the market to grow over the next few years.

You can also check our related articles:

• Generative AI
• No-code AI

Also, feel free to check our data-driven lists of:

• AI Platforms
• AI Consultants
• AI Development Services

If you have questions about composite AI or about integrating AI technologies to your business processes, feel free to reach us:

External Links

• 1. Columbus, Louis (2020). “What’s New In Gartner’s Hype Cycle For Emerging Technologies, 2020.” Forbes. Revisited January 20, 2023.