Carmen Taglienti, Chief Data Officer of Insight, shares practical applications of generative AI and the importance of data governance. She emphasizes the need for a safe area for experimentation, matching AI models to tasks, and the role of data governance in driving business value.
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Quick takeaways
Business leaders can leverage generative AI technologies for value creation opportunities, focusing on productivity enhancements and specific use cases such as content management and production.
Identifying small beachhead use cases for generative AI adoption is crucial, allowing for quick ROI and productivity improvements, especially in areas with manual processes like content generation and data consolidation.
Deep dives
Maximizing Potential with Generative AI
Carmen Taglianti, Chief Data Officer for Insight, discusses how business leaders can leverage generative AI technologies for value creation opportunities. Instead of getting caught up in the hype, Carmen emphasizes the practical nature of deploying generative AI, focusing on productivity enhancements and specific use cases such as content management and production. By starting with low-hanging fruit like learning and education or consolidating information within organizations, businesses can experience productivity gains and enhance consistency in areas like content production and policy compliance.
Identifying Beachheads for AI Adoption
Carmen highlights the importance of identifying small beachhead use cases for generative AI adoption, which can later expand into larger digital transformation efforts. These beachheads can be found in areas with manual processes, such as content generation, learning and education, and data consolidation. By starting with these specific use cases, organizations can achieve quick ROI and productivity improvements. Carmen also stresses the need for subject matter experts to collaborate with data scientists in order to align AI efforts with business goals and operations for maximum impact.
Data Governance and Operationalizing Generative AI
Carmen emphasizes the importance of data governance and establishing a knowledge base to leverage generative AI effectively. A well-curated knowledge base enhances the performance of large language models and ensures the production of desirable results. Organizations need to focus on processes such as data ops and embedding strategies to put the curated data into action and validate it against specific policies. Carmen also suggests the need for a Gen AI Ops center of excellence, combining data governance, MLOps, and business expertise to support the iterative and agile deployment of generative AI models.
Today’s guest is Carm Taglienti, Chief Data Officer and Data/AI Portfolio Director for Insight. Insight is a leading IT solutions provider specializing in streamlining enterprise data infrastructure. On today’s show, Carm joins Emerj Senior Editor Matthew DeMello to discuss where business leaders can find true value-creation opportunities from emerging generative AI technologies. As the hype cycle shows no signs of slowing down, Carm offers actionable, non-technical advice to business leaders for identifying needs with broad genAI crossover and preparing data-ready strategies essential for integrating these capabilities into the organization. This episode is sponsored by Insight. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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