The race is on. Enterprises and companies of all sizes are running full speed towards the transformative benefits of AI.
According to McKinsey, AI received $124.3 billion in equity investment last year alone, and 92% of executives are planning to invest more over the next three years.
To get AI-ready, companies need a trusted, real-time data layer that’s accessible to AI systems. The first step is getting data where it needs to be for AI activation: out of legacy, on-premises systems and into scalable, secure, cloud storage.
Cloudy Skies: The Challenges Behind Migrating to AI-Ready Cloud Infrastructure
As we laid out in our overview of AI-readiness, cloud migrations are high-stakes operations with significant risks and challenges, especially for large enterprises migrating huge amounts of data.
Data Downtime: Missing or delayed data can mean critical failures, broken customer experiences, or incorrect decisions. Organizations need data to operate AI effectively and can’t afford going without data, even for a short while.
Keeping Data Consistent: Migration to the cloud is about data movement; but it’s also about delivering data in clean, consistent formats. During transition, it’s crucial that data is transferred in well-structured, interoperable formats that AI can read and act on.
Complex, Diverse Integrations: In the enterprise context, moving data is rarely a case of getting “from point A to point B”. Migrations often involve a mismash of sources and targets that must be navigated to ensure complete, secure integration. Any disruption in this process will delay AI adoption efforts.
How Striim Delivers Data Safely and Securely, With Zero Downtime
Combining best-in-class real-time CDC, schema evolution, and bi-directional sync, Striim ensures AI gets the data it needs, where it needs it, by replicating data instantly from legacy systems. Cloud Migrations with Striim results in:
- Faster time-to-value for migration and modernization
- A step closer to an AI-ready foundation with trusted cloud data.
- Data integrity maintained, with continuous, consistent replication across hybrid and multi-cloud.
- Zero downtime and data loss during cutovers.
- Reduced silos by enabling unified access for AI and analytics.
Benefit From Stress-Free Migration
By partnering with Striim, enterprise teams can focus on what really matters. Rather than worrying about how to move their data, they can put their efforts towards using it: building AI capabilities and advanced analytics.
Lower migration and modernization riskStriim reduces the complexity and risk of cloud migration and platform modernization by providing real-time, governed data streams that ensure consistency, minimize downtime, and safeguard compliance throughout the process.
Accelerated path towards innovation and AI adoptionBy delivering AI-ready pipelines with sub-second latency and built-in governance, Striim enables enterprises to rapidly operationalize AI initiatives, shortening the time from experimentation to production and accelerating innovation.
New revenue streams via AI-driven productsStriim powers new business opportunities by feeding AI systems with trusted, real-time data, enabling enterprises to launch AI-driven products and services that create additional revenue streams and competitive differentiation.
Strengthened compliance with governed dataWith in-stream governance, continuous validation, and secure data zones, Striim ensures that enterprises maintain compliance with GDPR, HIPAA, and emerging AI regulations—protecting sensitive data while enabling confident AI adoption.
Improved competitive positioning with faster AI deployment cyclesStriim’s real-time intelligence platform allows organizations to deliver AI use cases into production faster, giving them an advantage in rapidly evolving markets where speed, accuracy, and compliance directly translate into stronger competitive positioning.
Cloud Migration in Action: How Macy’s modernized its data infrastructure to deliver seamless, real-time inventory experiences
Like many retailers, Macy’s came up against legacy systems that failed to deliver data at the pace they needed to deliver for their customers. Their data was scattered across DB2 mainframes and Oracle databases, siloed and inconsistent. That meant higher costs, slower app development, and frustrating inventory mismatches between online and in-store shopping.
The Striim Solution
Macy’s leveraged Striim’s real-time data integration capabilities to bridge the gap between legacy systems and the cloud. By continuously replicating data from mainframe and Oracle into Google Cloud services like Cloud Spanner, Pub/Sub, and BigQuery, Macy’s gained:
- A single, trusted view of data across all channels.
- Real-time synchronization, keeping inventory consistent everywhere.
- High availability with built-in resilience and disaster recovery.
- Scalability on demand to handle holiday traffic spikes without missing a beat.
The Results
- Lower costs by moving off expensive mainframes.
- Faster operations with real-time inventory and order management.
- Better customer experiences online and in stores.
- Accelerated innovation with a unified cloud data foundation.
- A stronger digital backbone for AI, analytics, and future transformation.
— Neel Chinta, IT Manager at Macy’s
Ready to take the next step, and explore cloud migration with Striim? Try Striim for Free, or Request a Demo to learn more.
