Skillsoft: How to go from AI vision to AI reality
What are the four phases of AI maturity mentioned?
The four phases of AI maturity mentioned are: 1) Exploration, where AI use cases and challenges are identified, 2) Experimentation, where AI tools are implemented and processes are adapted, 3) Innovation, where AI starts making a significant impact, and 4) Realization, where AI becomes fully integrated into the organization's DNA.
How does exploration phase aid AI implementation?
The exploration phase aids AI implementation by identifying use cases, scenarios, and real-life examples, outlining the challenges AI is intended to solve, and evaluating AI tools, capabilities, and parameters suitable for the enterprise's needs. This phase sets the foundation for the experimentation, innovation, and realization stages.
What is the role of experimentation in AI development?
Experimentation plays a crucial role in AI development as it allows for the testing and refinement of algorithms, models, and hypotheses. It helps in identifying optimal solutions, improving accuracy, and enhancing the overall performance of AI systems. Through experimentation, developers can gather valuable insights, iterate on their designs, and make informed decisions to achieve desired outcomes in various AI applications.