Aug 15, 2023
In this episode, join us as we delve into the dynamic
world of supplier data management and its transformation through AI
Our guest, Stephany Lapierre,a Founder & CEO at
TealBook , shares insights on how organizations can effectively
solve supplier data challenges and mitigate risks using
Major Talking Points:
- Traditional Limitations in Supplier Data
- Exploring the shortcomings of traditional
approaches in managing supplier data.
- The evolving data-driven landscape and the widening
gap in traditional methodologies.
- The urgency for a more agile and adaptive system to
address modern supplier challenges.
- The Promise of AI and ML in Supplier Data
- Understanding the role of Artificial Intelligence
and Machine Learning in revolutionizing supplier data
- Enhancing data accuracy and predictive capabilities
through AI-driven insights.
- Leveraging ML algorithms to streamline complex data
categorization and analysis.
- Ensuring Data Security and
- Discussing the critical importance of data security
and privacy in supplier relationships.
- How AI and ML can reinforce data protection while
improving data quality.
- Techniques like federated learning and encrypted
processing to maintain confidentiality.
- Real-World Examples of AI and ML
- Showcasing practical cases where businesses have
effectively employed AI and ML to tackle supplier data
- Highlighting instances of improved risk assessment,
supplier performance prediction, and fraud detection.
- Illustrating the transformative impact on
decision-making and operational efficiency.
- Benefits and Cost Savings of AI and ML
- Unpacking the potential advantages organizations
can gain from adopting AI and ML in supplier data management.
- Exploring cost savings through optimized resource
allocation, reduced errors, and more informed decision-making.
- Examining the long-term value and competitive edge
derived from harnessing these technologies.
If you want to be our guest, or you know some one who
would be a great guest on our show, just send your email
to email@example.com with a subject line
“Global Risk Community Show” and give a brief explanation of what
topic you would like to to talk about and we will be in touch with