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No Hype, Just Strategy: Real Lessons From Deploying AI in the Enterprise

Learn how leaders can maximize customer value and business growth in 2025 and beyond.

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March 21, 2025

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June 6, 2025

Overview

Challenges

This episode explores key challenges in enterprise AI adoption, including the decision to build or buy solutions and the myth of a one-size-fits-all AI agent. It highlights the importance of clearly defined use cases, secure data practices, and realistic expectations around fine-tuning models.

Summary

The podcast discusses TSIA's experience in implementing AI capabilities within their workflows, sharing valuable insights and lessons learned. It emphasizes the significant role AI will play in enhancing business processes and the importance of carefully evaluating AI tools, from legacy vendors to specialized applications. The conversation also highlights the need for change management and creating a culture that embraces evolving technology.

Key takeaways

Embracing AI Integration:

TSIA has actively integrated AI into its workflows and emphasizes the importance of evaluating both legacy and specialized AI solutions.

Importance of Change Management:

The adaptability of teams to new AI tools is crucial, necessitating effective change management strategies to minimize disruptions.

Defining Roles for AI Agents:

Clear definitions of tasks for AI agents are essential to ensure they effectively complete specific functions without overstepping their capabilities.

Leveraging Data Responsibly:

TSIA stresses implementing data security measures when utilizing AI and the need for guided frameworks in its deployment.

Evolving Skill Sets:

There's a critical shift in the required skill sets for teams to adapt to AI, emphasizing the importance of a growth mindset and willingness to embrace change.

Podcast speakers

Thomas Lah

Executive Director and Executive VP, TSIA

Jeremy DalleTezze

SVP, Analytics and Software Engineering, TSIA

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