How You Can Turn Your AI Vision Into a Reality with Cloud Modernization

The digital transformation landscape is rapidly evolving due to the integration of artificial intelligence (AI) and cloud modernization. This definitively changes how enterprises like yours handle data and manage business operations. Embracing this integration is necessary to thrive in the increasingly data-driven economy.

AI is transforming business across industries by automating processes, delivering new insights and innovating customer experiences. You can see the impact of AI in many places, from improving supply chain logistics to enhancing cybersecurity defenses. According to Gartner®, Inc., “by 2026, more than 80% of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”¹ We believe this stat underlines the critical role that AI will continue to play in shaping business strategies.

Overcoming Legacy Challenges

If your organization operates on legacy on-premises data infrastructure, it can hinder your ability to compete in a digital, cloud-first world. These systems may increase your security risks, complicate compliance and impair your data management efforts. By modernizing from legacy solutions like PowerCenter to a comprehensive cloud-native data management platform, you can meet the demands of the volume, velocity and variety of data that enterprises deal with today.

For AI to deliver on its promises, you need a robust cloud infrastructure. Cloud modernization offers a scalable and flexible data management framework for AI algorithms to function optimally. Migrating to a cloud-native data management platform like the Informatica Intelligent Data Management Cloud (IDMC) facilitates easier data access and management while giving you compatibility with advanced AI analytics.

With IDMC, you can achieve better business outcomes — all in one place. IDMC enables you to:

• Free your data: Run on and interoperate with what you have today and tomorrow, whether multi-cloud or hybrid.
• Drive continuous innovation: Rely on an AI-powered, unified data management cloud with best-of-breed capabilities.
• Grow your business: Increase scalability and optimize performance with elastic and serverless computing.
• Control your costs: Use flexible and predictable pricing to pay only for what your organization uses.

The Role of Unified Metadata and AI Co-pilots

Implementing AI in data management requires a strong foundation of unified metadata to enable connected intelligence across the data lifecycle. IDMC leverages AI and machine learning through its AI engine, CLAIRE®, to improve data discovery, data integration, data quality and data governance. With over 35+ petabytes of unified active metadata, CLAIRE® acts as an AI copilot, transforming data management with enhanced insights and automation.

Scalability and Real-Time Processing

As organizations generate and process vast amounts of data, the ability to scale and manage this data in real time becomes crucial. Cloud modernization facilitates this scalability and supports real-time data processing, essential for deploying effective AI and machine learning models.

The synergy between AI and cloud modernization is reshaping how enterprises like yours approach data management. By modernizing data platforms and integrating AI, you can unlock new efficiencies, improve data quality and drive innovative solutions across industries. As you look forward to an increasingly AI-centric future, cloud modernization can support you on this transformative journey.

In our eBook, “Why You Need Cloud Modernization to Unlock the Potential of AI,” you’ll learn:

• How a strong cloud data foundation fuels AI
• Must have data management capabilities to support AI
• Why you need to modernize from PowerCenter to the cloud

If you want to learn more about the Informatica PowerCenter modernization program, please visit this webpage.