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Organizations everywhere are exploring how AI can drive productivity, insights, and new business value. But as AI adoption accelerates, many teams are discovering a critical challenge: their data may not be ready.
Without clear visibility into where data lives, how it’s structured, and how it’s secured, AI initiatives can stall before they deliver meaningful results.
Join Justin Hutto and Daniil Zaika from TierPoint as they explore the security, governance, and data management foundations organizations need before implementing AI solutions. This practical session will help you understand how to assess your current data environment, reduce risk, and prepare your organization for responsible AI adoption.
You’ll leave with a clearer understanding of how strong data governance, visibility, and security practices create the conditions for AI innovation to succeed.
What You’ll Learn
- Why many AI initiatives stall due to data readiness challenges
- How to identify where your organization’s data lives across cloud and on-prem environments
- The role of governance, security, and compliance in successful AI adoption
- Practical ways to improve data visibility and control before implementing AI
- How cloud architecture and modern infrastructure support scalable AI innovation
- Key questions organizations should answer before launching AI initiatives
Featured Experts
Justin Hutto
Microsoft Solutions Architect | TierPointJustin Hutto is a Cloud Architect at TierPoint with more than 25 years of experience designing and leading enterprise IT and cloud infrastructure initiatives. Specializing in Microsoft technologies, he brings deep expertise in Azure architecture, cybersecurity, and enterprise systems engineering. Justin helps organizations modernize their environments while strengthening security, improving performance, and building scalable platforms for future innovation.
Daniil Zaika
Sr Advisor Cloud Solutions | TierPointDaniil Zaika is a Cloud Strategist at TierPoint with deep expertise in AWS, Azure, and cloud-native architectures, helping customers eliminate resource waste, modernize applications, and migrate critical workloads with confidence. With more than a decade of experience in enterprise sales, complex solution design, and hybrid cloud strategy, Daniil partners with IT leaders and engineering teams to streamline operations, optimize cloud spend, and accelerate modernization initiatives across public, private, and hybrid environments. Known for his data-driven approach and strong channel ecosystem, he has delivered transformative outcomes for organizations of all sizes, leveraging cloud-native tools, modernization frameworks, and aligned partner programs to drive efficiency, performance, and long-term business value.
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