AI Moves from Experimentation to Execution: Takeaways from AI in Action Las Vegas

Artificial intelligence has dominated technology conversations for several years. What is changing now is the nature of those conversations.

Organizations are moving beyond asking what AI could do and focusing more closely on where it can create measurable value, how it fits into existing operations, and where human expertise remains essential.

That shift was at the center of AI in Action, a recent gathering of hospitality, technology, product, and business leaders in Las Vegas. Talent Groups was proud to sponsor the event, with Dane Walker and James Hatch representing our team and joining the conversations taking place throughout the evening.

Organized by Jenn Hull of Shameless Innovations / PMC Las Vegas, Blaire McCoy of Traversing.AI, and the Guzo Agency, the event focused on something increasingly important for business and technology leaders: moving AI beyond theory and into practical application.

Hospitality Offers a Unique View of AI in Practice

Las Vegas provides an especially interesting environment for this conversation.

Hospitality organizations operate at the intersection of two priorities that can sometimes appear to compete with one another: delivering highly personalized, human-centered experiences while managing complex, large-scale operations as efficiently as possible.

AI has the potential to influence both.

Recent developments across hospitality technology illustrate how quickly practical applications are emerging. In June 2026, for example, Oracle introduced new AI capabilities within its OPERA Cloud hospitality platform designed to assist with tasks including room assignments, operational guidance, rate descriptions, translation, and revenue management. The objective is not simply automation; it is using technology to reduce operational friction while giving employees more time and information to serve guests effectively.

That distinction matters.

The most valuable applications of AI may not always be the most visible ones. In many organizations, the opportunity is found in improving workflows, making information easier to access, supporting faster decisions, reducing repetitive work, and helping employees spend more time on activities where their expertise and judgment matter.

The Better Question Is Not “How Can We Use AI?”

One of the highlights of AI in Action was a panel featuring Kristin Shapiro, Executive Director of IT Project & Product Management at Wynn Las Vegas; Alyssa Mendes, SVP of Hospitality at Rio Hotel & Casino; Rafael Villanueva, CEO of Travel Nevada; and Timothy Long, Executive Director of AI Strategy.

The range of perspectives across technology, product management, hospitality operations, tourism, and enterprise AI strategy made the discussion particularly relevant.

Rather than focusing solely on what AI is capable of doing, the conversation addressed more practical questions:

Where does AI genuinely create value? Where does it not belong? How can organizations improve efficiency without removing the human interactions that differentiate a great customer or guest experience? And how should leaders evaluate new AI opportunities when the technology itself is evolving so rapidly?

These questions extend well beyond hospitality. For organizations across industries, successful AI adoption increasingly requires leaders to connect technology decisions to actual business problems. An available AI capability is not automatically a valuable use case. The stronger starting point is identifying a business challenge or opportunity first and then determining whether AI is the right tool to address it.

From AI Pilots to Operational Value

Perhaps the clearest takeaway from AI in Action was that the AI conversation is becoming more operational.

The initial wave of generative AI adoption introduced organizations to what these technologies could accomplish. The next stage requires considerably more discipline.

Businesses now have to determine which use cases should move beyond experimentation, how AI will integrate with existing systems and workflows, what success should look like, and how results will be measured.

They also have to consider the governance surrounding those systems.

The National Institute of Standards and Technology's AI Risk Management Framework provides organizations with a useful model built around four core functions: Govern, Map, Measure, and Manage. The framework emphasizes that managing AI effectively is an ongoing process that extends throughout the lifecycle of an AI system rather than a one-time decision made before deployment.

That becomes increasingly important as AI moves deeper into day-to-day business operations. Organizations need to think not only about what a system can accomplish, but also about data, security, accuracy, accountability, risk, user experience, and the people responsible for overseeing it.

AI Adoption Is Also a Talent Strategy

There is another important component of AI implementation that can sometimes receive less attention than the technology itself: people.

Organizations can invest in powerful AI platforms, but realizing value from those investments requires the right combination of technical expertise, business knowledge, change management, and leadership.

That can mean new or growing needs across areas such as AI and machine learning, data engineering, cloud infrastructure, cybersecurity, application development, product management, project and program leadership, and data governance. It can also mean developing AI fluency outside of traditional technology teams.

As AI becomes embedded into everyday workflows, employees across an organization need to understand when to use these tools, how to evaluate their outputs, and when human judgment should take precedence.

The goal should not simply be to add AI to existing processes. It should be to determine where technology can make the organization, and the people within it, more effective.

Keeping People at the Center

For an industry built around service and experience, hospitality makes the importance of that balance especially clear.

Technology can help an organization understand preferences, streamline processes, surface information, automate routine activities, and create more personalized interactions. But the technology itself is not the experience.

People still create the moments that build relationships, solve unexpected problems, exercise judgment, and turn efficient service into exceptional service.

That idea translates across industries.

The organizations that create meaningful value from AI will need more than the latest tools. They will need a clear understanding of where AI belongs within the business, the technology foundation to support it, appropriate governance, and people with the skills to implement and use it effectively.

Moving the AI Conversation Forward

AI in Action brought together leaders from different disciplines around a conversation that is becoming increasingly relevant: How do we turn the potential of AI into practical business outcomes?

There is unlikely to be one answer that applies to every organization.

What is becoming clearer is that AI strategy cannot exist separately from business strategy, technology strategy, or talent strategy. The decisions organizations make about AI will increasingly influence how work gets done, what skills teams need, how customers are served, and where companies invest.

For Talent Groups, those intersections are particularly important. As technology continues to grow and changes, organizations need access to specialized expertise that can help them implement new capabilities while continuing to operate, innovate, and grow.

We were pleased to support AI in Action and the conversations taking place across the Las Vegas technology and hospitality community.

Thank you to Jenn Hull, Blaire McCoy, Guzo Agency, the panelists, fellow sponsors, attendees, and everyone who helped make the event possible.