emerging
Expert AI Models
Organizations are moving beyond generic foundation models to develop specialized AI models tailored to their specific industry and business needs.
Themes
Timeframe
near-term
Categories
Impact areas
Detailed Analysis
While foundation models offer broad knowledge, organizations are finding greater value in developing expert models customized to their specific domains. The report highlights that 'Foundation models...provide excellent breadth of knowledge but often disappoint when seeking specialized analysis.' This has led to organizations exploring various approaches, including leveraging industry-focused models, collaborating with peers, or fine-tuning existing models with proprietary data. The goal is to achieve more reliable and relevant outputs, addressing concerns about AI accuracy.
Context Signals
Examples of expert models being used in various industries, such as Mars, Canadian Tire, and Moderna.
Emphasis on data management and democratization of AI as key factors for success.
The growing need for no-code/low-code AI development environments.
Edge
The development of industry-specific AI models will create new market opportunities for specialized vendors.
Organizations with strong data management practices will have a significant advantage in developing expert AI models.
The democratization of AI will empower citizen developers and further accelerate the adoption of customized AI solutions.
