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Beyond GenAI: What’s Next for the Enterprise? • Andrew Turner • GOTO 2023
Explore the future of AI in the enterprise beyond generative AI, examining the need for automation, human factors, and responsible adoption to drive transformation and create new value.
- The concept of “Beyond GenAI” refers to exploring what’s next in AI, beyond generative AI.
- The need for automation and AI in enterprises is driven by the increasing complexity of data and the need for more efficient decision-making.
- The temperature setting in AI models affects the output, but finding the right temperature is crucial.
- The importance of considering the strengths and weaknesses of AI models and systems.
- The need for businesses to think about how they can adopt and integrate AI into their operations, rather than simply building it.
- The importance of considering the human factors in AI adoption, such as training and upskilling employees.
- The need for a shift in thinking from “how to use AI” to “how to coexist with AI”.
- The importance of considering the downstream insights and analytics that AI can provide.
- The use of ChatGPT as a tool for generating responses and creating prompts, but highlighting the need for human oversight and review.
- The concept of “garbage in, garbage out” applies to AI, where the quality of the data and models used will affect the output.
- The need for businesses to consider the skills gap in AI adoption and to upskill their employees.
- The importance of considering the environmental, social, and governance (ESG) implications of AI adoption.
- The need for a more nuanced understanding of AI, beyond just “AI is good” or “AI is bad”.
- The concept of “liquid workforce” and the need for businesses to adapt to changing workforce dynamics.
- The importance of considering the role of AI in decision-making and the need for transparency and explainability.
- The need for businesses to think about how AI can be used to transform their operations and create new value.
- The concept of “embodied cognition” and the importance of considering how AI interacts with humans.
- The need for businesses to consider the impact of AI on employment and the need for retraining and upskilling.
- The importance of considering the role of AI in customer service and the need for human touch.
- The need for businesses to think about how AI can be used to create new products and services, rather than just automating existing ones.
- The concept of “AI-enabled entrepreneurship” and the need for businesses to adapt to changing market dynamics.