Practical AI AI adoption in the enterprise
May 21, 2019
This discussion features Ben Lorica, Chief Data Scientist for O’Reilly Media, known for his expertise in AI and data science. He dives into the current state of AI adoption in enterprises, examining companies' maturity levels and investment strategies. Lorica highlights the necessity for a supportive culture and successful integration of machine learning technologies. He also explores advancements in reinforcement learning, emphasizing the importance of ethical considerations and transparency in AI deployments.
AI Snips
Chapters
Books
Transcript
Episode notes
Investment and Maturity
- Mature AI practices correlate with higher planned investments.
- This suggests a widening gap between leading and lagging companies in AI adoption.
Bottlenecks in AI Adoption
- Companies exploring AI struggle with identifying use cases and company culture.
- Mature AI practices face bottlenecks in data acquisition and skilled workforce.
Data Challenges for Mature Practices
- Even mature AI practitioners struggle with a lack of suitable data.
- They often generate new use cases for which data has yet to be collected.
