What is Composite AI & Why is it Important in 2022?
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:
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 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.
Sponsored
Getting AI consultancy services is another alternative for using AI to solve complex business problems. Positronic is an AI/ML consultant that provides end-to-end AI solutions from data collection and labeling to deep learning, computer vision, and NLP applications.
You can also check our related articles:
Also, feel free to check our data-driven lists of:
If you have questions about composite AI or about integrating AI technologies to your business processes, feel free to reach us:
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:
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 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.
Sponsored
Getting AI consultancy services is another alternative for using AI to solve complex business problems. Positronic is an AI/ML consultant that provides end-to-end AI solutions from data collection and labeling to deep learning, computer vision, and NLP applications.
You can also check our related articles:
Also, feel free to check our data-driven lists of:
If you have questions about composite AI or about integrating AI technologies to your business processes, feel free to reach us:
Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do not want us to publish your materials, please contact us by email – [email protected]. The content will be deleted within 24 hours.