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Legacy technology, traditionally viewed as outdated, can empower your AI strategy if integrated into a hybrid-cloud architecture. Existing systems hold valuable data that AI utilizes, making it vital to break down data silos and ensure consistent environments across IT resources. Modernizing legacy systems and adopting hybrid cloud solutions enable efficient data access, lowering costs, and enhancing AI deployment. Embracing these technologies leads to better decision-making and improved business outcomes, essential for driving enterprise innovation in today's AI era.
Data is the foundation of AI, making integration crucial.
View existing technology as legendary and essential for AI success.
Hybrid cloud allows organized and governed data analysis.
Hybrid cloud capabilities drive real value with AI in enterprises.
The video underscores the importance of robust data governance in maximizing AI capabilities. With data silos representing significant barriers, effective governance frameworks ensure that every piece of data is accessible and usable for AI training. Recent studies show that companies with strong data governance can increase their AI effectiveness by over 25%, emphasizing integration over isolated systems.
The insights regarding hybrid cloud architecture illustrate a growing trend in the market toward flexibility in deploying AI solutions. Data from market analysis indicates that organizations utilizing hybrid cloud solutions experience up to 30% lower operational costs compared to traditional setups, making this approach not only innovative but also economically advantageous.
It allows for efficient data management and integration of AI with existing systems.
Essential for enabling access to data crucial for AI capabilities.
Efficient AI deployment can lead to cost savings and improved business agility.
The company emphasizes integrating AI across various environments for optimal results.
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