Embracing AI at the Enterprise-Level: Insights from Miranda Nash

In this episode of the “What’s Data and AI got to do with it?” podcast, we sit down with Miranda Nash, Group VP of Oracle’s Fusion Applications AI Strategy, to talk about what it truly takes to bring AI into enterprise workflows.

With a background in engineering, data, and entrepreneurship, Miranda shares how Oracle has been quietly embedding AI into its business apps long before ChatGPT made AI a household term.

Here are the key takeaways from our conversation:

Where AI Is Gaining Real Traction

Miranda highlights that AI adoption is growing fastest in roles where human interaction is central. Think:

• Customer service & sales
  

• Human resources & employee engagement
  

• Back-office operations like scheduling and ticketing

“Autonomous agents...can take over complex tasks like shift scheduling in hospitals or warehouses. You control the oversight and build trust over time.”

From Prompts to Agentic AI

Enterprise AI isn’t just about plugging in ChatGPT. Miranda explains that Oracle’s embedded AI uses structured, engineered prompts, designed to work at scale.

“Our engineered prompts are more structured than what you just do as an individual talking to ChatGPT.”

This structure is evolving into agentic AI—AI entities that reason, act autonomously, and solve specific business problems collaboratively across teams.

Building an AI Culture at Work

Fear of the unknown is one of the biggest roadblocks to AI adoption. Miranda shares a few ways to ease the transition:

• Encourage cross-functional collaboration
  
  
• Create space for experimentation
  
  
• Normalize learning together

“If people can let go of the fear and embrace the learning, that's AI success.”

It’s not about replacing jobs—it’s about empowering people to do more meaningful work.

Miranda’s Practical AI Advice for Companies

Miranda offers a grounded approach to AI implementation:

• Start with ROI – Pick use cases that have clear business value
• Exercise the muscle – Run low-risk experiments‍
• Solve real problems – Don’t chase AI for the sake of it‍
• Streamline governance – Keep it agile and scalable

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“Use product design to guide users through change—less training, more intuitive nudges.”

AI in Her Personal Life

Even outside work, Miranda embraces AI—especially for practicing tough conversations via roleplay, and even for booking restaurants using AI agents that bridge old and new systems.

And at work? Her team is building agents that could one day ease their roles, by design.

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Summing It Up

Miranda’s message is clear: AI is a team sport. The companies that succeed will focus less on shiny tools and more on trust, experimentation, and solving real business problems.

As AI moves from LLMs to fully functional agents, it’s not about man vs. machine—it’s about elevating human potential.

🎧 Watch the full episode for a deeper dive into Oracle’s approach to enterprise AI.