Generative AI and unstructured data are transforming how businesses improve customer experiences and streamline internal processes. As technology evolves, companies find new ways to gain insights, automate tasks, and personalize interactions, unlocking new growth opportunities.
The integration of these technologies is reshaping operations, driving efficiency, and enhancing decision-making, helping businesses stay competitive and agile in a rapidly changing landscape. Organizations that embrace these innovations can better adapt to customer needs and market demands, positioning themselves for long-term success.
In this episode, Doug Laney speaks to Katrina M. Conn, Senior Practice Director of Data Science at Teradata, and Sri Raghavan, Principal of Data Science and Analytics at Amazon Web Services (AWS), about sustainability efforts and AI's ethical considerations.
Key Takeaways:
- Generative AI is being integrated into various business solutions.
- Unstructured data is crucial for enhancing customer experiences.
- Real-time analytics can improve customer complaint resolution.
- Sustainability is a key focus in AI resource management.
- Explainability in AI models is essential for ethical decision-making.
- The combination of structured and unstructured data enhances insights.
- AI innovations are making analytics more accessible to users.
- Trusted AI frameworks are vital for security and governance.
Chapters:
00:00 - Introduction to the Partnership and Generative AI
02:50 - Technological Integration and Market Expansion
06:08 - Leveraging Unstructured Data for Insights
08:55 - Innovations in Customer Experience and Internal Processes
11:48 - Sustainability and Resource Optimization in AI
15:08 - Ensuring Ethical AI and Explainability
23:57 - Conclusion and Future Directions
