AI hype has become synonymous with generative AI (GenAI). Many businesses don’t see the benefit of this narrowly defined technology. It takes a more nuanced understanding of, and hybrid approach to, AI for many organizations to start to see its worth their time, money and resources. But gaining that understanding can be a steep learning curve.

This conversation:

- Unpacks the hype around generative AI and how it fits into the larger AI picture.
- Defines and gives examples of what a comprehensive hybrid approach to AI entails.
- Lays out the business case and potential pilot projects organizations can implement when adopting a hybrid approach to AI.

Similar episodes:

- AI risk management: https://www.soundcloud.com/catalyte-sourcing-for-innovation/ai-risk-management
- Probabilistic vs deterministic systems: https://www.soundcloud.com/catalyte-sourcing-for-innovation/probabilistic-vs-deterministic-systems
- The impact of different data types on AI implementation: https://www.soundcloud.com/catalyte-sourcing-for-innovation/data-impact-ai-implementation
- What AI do you need?: https://www.soundcloud.com/catalyte-sourcing-for-innovation/what-ai-do-you-need

For more information on Catalyte’s AI advisory services, visit: https://www.catalyte.io/services/solutions/ai-advisory-services/

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