Executive Summit

For many organizations, IT, data, and security teams are often viewed as restrictive gatekeepers or an afterthought rather than strategic enablers. To shift this dynamic, technical leaders must proactively reframe complex technical conversations into actionable business solutions. Over the past three and a half years, Oceaneering has undergone a massive cultural shift to rebuild trust with business segment leaders, transforming how they operate from the ground up. Hear directly from Oceaneering's CITO, CDO, and CISO on how they established a united front to serve the business. By introducing a new engagement process, implementing data governance as a solution, and embedding security early in the design phase, this cross-functional leadership team has cemented its role as a trusted partner.

Join this interactive panel discussion to learn how to:

• Reframe technical conversations to focus on solving core business problems and reduce stakeholder friction
• Implement data governance policies that act as business enablers rather than roadblocks
• Embed security and cross-functional collaboration early in the project design process to build lasting trust

Moving from AI experimentation to secure, scalable business value remains a critical challenge for technology leaders. Achieving sustainable impact requires more than selecting the right technology. It demands responsible employee adoption, robust data governance, and reusable foundations that allow solutions to scale. This interactive session presents a three-pillar framework spanning productivity, governance, and execution. Using a real-world procurement transformation case study, the speakers demonstrate how process redesign, trustworthy data, and human accountability work together, while sharing key lessons on where AI adds real value versus traditional automation.

Join this session to learn how to:

• Apply a three-pillar framework to transition from isolated pilots to enterprise execution
• Redesign operational workflows to leverage AI-assisted decision support while maintaining human oversight
• Establish clear metrics for adoption, cost, and risk while scaling reusable capabilities securely

As AI adoption accelerates, organizations are reevaluating data as a strategic asset and defining ownership and accountability to ensure enterprise success. Too often, IT is viewed as the owner of data rather than the enabler responsible for building confidence in data and supporting successful AI outcomes. Leading organizations are shifting to business-led ownership, using targeted use cases and intentional organizational change management to build trust, strengthen accountability, and drive lasting impact.

Join this session to explore:

• Why a use case-driven approach accelerates adoption, delivering early wins that build momentum and credibility
• How to redefine data ownership across the enterprise and establish accountability between IT and the business while maintaining strong enablement
• How intentional organizational change management, from training to embedded workflows, drives lasting governance adoption and measurable results

As attackers leverage AI to move faster than ever, traditional security strategies are falling behind. CIOs are now tasked with defending their organizations at machine speed, requiring a shift from reactive patching to proactive, autonomous protection. Leading enterprises are adopting continuous risk governance and measurable guardrails to ensure accountable AI adoption. CIOs are tasked with aligning business strategy with security outcomes and deliver board-level visibility into risk and remediation, all while enabling innovation.

Join this session to learn:

• Aligning business strategy with real-time risk governance
• Implementing measurable guardrails for accountable AI adoption
• Delivering board-ready visibility into AI risk and remediation progress

 As AI transforms business operations and erodes longstanding biases, CIOs face renewed questions about how to balance building in-house solutions versus buying from vendors. What does today's decision framework look like as executives weigh multiple variables including speed, scalability, competitive advantage, and proprietary control?

Join this session to discuss:

• Reassessing build vs. buy in the context of AI innovation
• Weighing competitive advantage against cost, speed, and risk
• Anticipating future orchestration models for hybrid technology strategies