Training an AI Model to Solve Problems in the Augmented Enterprise

As large technology companies battle to push innovation ahead at a rapid rate, artificial intelligence (AI) is becoming more adept at solving complex problems. Generative AI tools (like ChatGPT, Dall-e, Midjourney, etc.) have democratized content creation and changed how we work and learn in ways we never imagined. Although training and tuning your own custom AI models to solve complex problems in a specific domain has become economically feasible, it is only an emerging capability that has the potential to address truly hard problems.

In this session we will address the challenges and opportunities associated with the adoption of emerging tools to train custom AI models. We will explore how trained AI models can then be used to solve highly targeted problems while providing practical insights on how to implement your strategy in building an augmented enterprise. We will also explore training AI models to strategize and solve complex problems not easily addressed by publicly-available generative AI tools. We will cover custom model training, tuning, and how to decide if/when you need to train your own model. We will also explore the ethical considerations associated with training custom AI models, including issues of bias, transparency, and accountability. We will look at the impact of AI on both society and the workforce to show how the implementation of AI in problem-solving is done ethically and responsibly. Throughout the session we will provide guidance on how to train AI models for problem-solving by looking at case studies, the latest research, tools, and techniques. Attendees will leave with a deeper understanding of how custom AI models can be used to solve complex problems and the tools required to start implementing AI solutions in their own domain.

In this session, you will learn:

• The different types of AI models and their applications in problem-solving
• Techniques to train and tune AI models
• About custom model training and when it makes sense to train your own model
• Case studies and real-world examples of how custom AI models can be used to solve complex problems in various domains

Technology discussed:

Artificial intelligence models