AI-Driven Project Management

CHAPTER 17Fine-Tuning and Customizing AI Models for Organizational Benefits

The chapter discusses three essential AI services: model-as-a-service (MaaS), fine-tuning AI-as-a-service (AIaaS), and customizing AI models for organizations. ML-as-a-service (MLaaS) provides easy-to-use, cloud-based APIs with pretrained ML models to easily enable the integration of AI with scalable, economic solutions that don't require specific programming for tasks.

AIaaS is an extension to MaaS that lets organizations customize pretrained models based on specific requirements such as increasing the speed and quality of language processing or image recognition without needing a full understanding of AI. This is done through training with a smaller dataset and tuning of model parameters.

Finally, customizing AI models for organizations entails creating tailored AI models from scratch or drastically amending preexisting models. This service is ideal for specific, tailored tasks or applications that require extensive datasets, deep knowledge of AI, and a resource-intensive approach. Collectively, these services offer a range of AI integration possibilities from ready-to-use models to individualized AI solutions.

PM-AI Modality Model

In the conventional view, augmentation of planning and budgeting through AI tools has been perceived as a practical application domain for AI in managing projects. However, this approach usually gives rise to varying interpretations of the algorithm results because professionals ...