How can you turn your AI vision into reality with cloud modernization?
The digital transformation landscape is rapidly evolving with the integration of artificial intelligence (AI) and cloud modernization. This is definitely changing the way enterprises process data and manage business operations. Embracing this integration is essential to thriving in an increasingly data-driven economy.
The AI and data revolution
Artificial intelligence (AI) is transforming business across industries by automating processes, delivering new insights, and innovating customer experiences. The impact of AI can be seen in many places, from improving supply chain logistics to strengthening cybersecurity. According to Gartner®, Inc., “by 2026, more than 80% of enterprises will use generative artificial intelligence (GenAI) application programming interfaces or models and/or deploy GenAI-enabled applications in production environments, compared to less than 5% in 2023 year." We believe this statistic underscores the critical role AI will continue to play in shaping business strategies.
Overcoming technological heritage challenges
If your organization runs on an older, on-premise data infrastructure, it can make it difficult for your organization to compete in a cloud-based digital world. These systems can increase security risks, complicate regulatory compliance, and make data management more difficult. By modernizing legacy solutions like PowerCenter to a comprehensive, cloud-native data management platform, you can meet the volume, speed and variety of data demands that enterprises encounter today.
Cloud Modernization: Critical to AI Success
For AI to deliver on its promises, you need a solid cloud infrastructure. Cloud modernization provides a scalable and flexible data management structure that allows AI algorithms to perform optimally. Migrate to a cloud-native data management platform such as Informatica Intelligent Data Management Cloud (IDMC), makes it easier to access and manage data while ensuring compliance with advanced AI analytics.
With IDMC, you can achieve better business results - all in one place. IDMC enables:
- Free your data: run on what you have today and tomorrow, whether it's multi-cloud or hybrid.
- Always drive innovation: Rely on AI-powered, unified cloud data management and best-in-class capabilities.
- Grow your business: Increase scalability and optimize performance with flexible serverless computing.
- Cost control: Use flexible and predictable pricing to only pay for what your organization uses.
The role of unified metadata and AI co-pilots
Implementing AI in data management requires a solid foundation of unified metadata, which enables intelligence to be incorporated throughout the data lifecycle. IDMC uses artificial intelligence and machine learning through its engine AI CLAIRE®, which allows for improved data discovery, data integration, data qualityh and data management. With over 35 petabytes of unified active metadata, CLAIRE® acts as AI's co-pilot, 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 the real-time data processing necessary to implement effective artificial intelligence and machine learning models.
Modernize now to thrive in the age of artificial intelligence
The synergy between AI and cloud modernization is changing the way enterprises 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 to an increasingly AI-centric future, cloud modernization can support you on this transformational journey.
In the e-book Informatica "Why you need cloud modernization to unlock the potential of artificial intelligence” you will learn:
- How a solid cloud data foundation powers AI
- what necessary data management capabilities are needed to support AI,
- why you need to upgrade from PowerCenter to the cloud.
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