The Real Challenge Behind AI Isn’t the Model
Generative AI holds enormous promise—but most enterprises are learning the hard way that great models can’t make up for a weak data foundation.
The reality is that AI is only as good as the infrastructure supporting it. And for many organizations, that infrastructure is still siloed, slow, or ungoverned—especially when it comes to unstructured data. With up to 80% of enterprise data in unstructured formats, the inability to access, organize, and analyze that data is slowing AI adoption and reducing accuracy across the board.
At Jeskell, we help close this infrastructure gap. As an IBM Platinum Business Partner, we design and deploy scalable, secure, and high-performance architectures that bring your data and AI tools together… starting with IBM watsonx.data.
watsonx.data: Flexible, Open, and Built for Enterprise Scale
IBM watsonx.data is a next-generation data lakehouse platform built for the realities of hybrid cloud and AI-scale workloads. It empowers organizations to analyze and govern both structured and unstructured data without needing to move or duplicate it across environments.
watsonx.data’s multi-engine, open architecture supports Presto, Spark, Db2, and other engines on open table formats like Iceberg and Parquet, giving data teams the flexibility to query data wherever it lives.
When paired with the right infrastructure, including IBM Storage Scale for high-performance file access and IBM Storage Ceph for scalable object storage, watsonx.data becomes far more than a software layer. It becomes the engine room of your AI operations.
At Jeskell, we help clients bring these components together into a cohesive, AI-ready infrastructure that is fast, governed, secure, and ready to scale.
Real-World Impact: Cogniware Cuts Time to Value with watsonx.data
Cogniware, a Czech-based investigative software provider, needed to streamline how their Argos platform collected, linked, and analyzed complex customer data. Their challenge? That data came in countless formats (JSON, NoSQL, CSV) spread across disparate systems.
By integrating with IBM watsonx.data, Cogniware was able to:
- Cut implementation time by 45% across multiple tested solutions
- Process diverse data formats up to 60% faster
- Seamlessly link structured and unstructured data with automatic updates
These results didn’t come from software alone; they came from smart architecture. Jeskell helps replicate this success by ensuring watsonx.data is deployed in an infrastructure environment that can support the speed, scale, and complexity AI demands.
watsonx + DataStax: Extending the AI Stack with NoSQL and Vector DBs
AI-ready infrastructure is not just about storage and access, it’s also about performance, flexibility, and developer speed. That’s why IBM has partnered with DataStax to integrate AstraDB (a NoSQL/vector database) and Langflow (a low-code AI development tool) into the watsonx ecosystem.
As detailed in a recent IDC report, the combination of watsonx.data and DataStax helps organizations:
- Simplify data pipelines
- Accelerate low-code GenAI development
- Lower overall architecture costs and complexity
Jeskell ensures all of these components (watsonx.data, DataStax, Storage Scale, Ceph, and more) are integrated into a unified, resilient architecture built for real-world AI operations.
Jeskell Systems: Building the Infrastructure AI Needs to Scale
Enterprise AI isn’t just about what tools you use—it’s about how they’re integrated and supported. Jeskell builds end-to-end infrastructure environments that bring together storage, compute, data, and governance under a secure, scalable design.
Our expertise includes:
- Architecting high-performance data pipelines for AI and analytics
- Optimizing performance with IBM Storage Scale and Ceph
- Aligning IT with business goals through intentional architecture design
Whether you’re solving for faster time to insight, lower operational costs, or enterprise-scale AI governance, Jeskell ensures the infrastructure is never the roadblock.
Ready to Put Your Data to Work?
If your AI tools are underdelivering, it may be time to take a closer look at your infrastructure and the foundation your data sits on.
With watsonx.data and Jeskell’s infrastructure expertise, you can build a smarter path to GenAI success.