AI Transformation Strategies — Jennifer Jones-Mitchell // Human Driven AI

Show Notes

• 01:59
  Jennifers motivation to dive into artificial intelligence

  AI was already a part of Jennfers career in marketing and PR, but it became more significant when generative AI tools became commercially available about two years ago. She recognized its transformative potential in marketing and decided to dive in headfirst.
• 03:45
  Developing an AI transformation strategy for business

  Start by defining clear goals to operationalize generative AI in your organization to automate tasks and augment skill gaps. Establish a dedicated team with senior leadership, legal, data, PR, and crisis management to identify opportunities and manage risks as you develop your strategy.
• 05:30
  How to lead a successful AI transformation within your organization

  Ensure your team receives broad training on Gen AI tools to understand the capabilities, limitations, risks, how to use data correctly, and data governance. Testing and hands-on exploration are crucial for fully grasping their potential and alignment with organizational goals.
• 07:56
  Understanding the capabilities and limitations of generative AI

  Understanding how to communicate with generative AI unlocks limitless potential. Nevertheless, due to inherent biases in their training data and occasional errors, human proofreading and editing remain necessary.
• 12:03
  How to protect company data and mitigate bias when using LLMs

  To safeguard data when using large language models, it's crucial to train employees on proper usage and establish clear company policies and governance. Biases inherent in AI must be addressed through careful oversight and employee training on creating effective prompts.
• 14:56
  AI governance and ethical use in business

  Governance for AI, like ChatGPT, has more unknowns due to its novelty, but the responsibility remains the same. Employees must be trained on ethical and effective utilization of AI tools.