The AI Boom Is Real — But So Is the Bottleneck
Generative AI is transforming how organizations approach everything from customer engagement to product development. But there’s a major disconnect: while the hype is focused on powerful models and cutting-edge tools, the real bottleneck is far less glamorous—your data infrastructure.
In fact, most enterprise AI projects fall short not because the models are weak, but because the data behind them is fragmented, outdated, or inaccessible. As IBM puts it, “Generative AI has a data issue.” Jeskell agrees, and we’re helping solve it.
Your AI Is Only as Good as the Data It Can Access
Over 80% of enterprise data is unstructured—think PDFs, emails, presentations, meeting recordings, chat logs, and more. Most of it lives in silos across hybrid and multicloud environments, completely disconnected from your AI workflows. Large language models (LLMs) can’t tap into it. Retrieval-augmented generation (RAG) pipelines can’t reach it.
That means your AI isn’t learning from your most valuable insights.
Jeskell Systems helps organizations build the infrastructure foundation that connects data with models… securely, efficiently, and at scale.
watsonx.data: The Bridge Between Data and AI
At the center of this strategy is IBM watsonx.data, an open data lakehouse platform optimized for AI and analytics. It allows organizations to access, govern, and query both structured and unstructured data across any environment—without having to move or replicate it.
watsonx.data supports multiple query engines (Presto, Spark, Db2), storage formats (Parquet, Iceberg), and integration with your existing workflows. When deployed as part of a broader AI infrastructure strategy with Jeskell, it enables smarter, faster, and more trusted outcomes.
Building the Foundation with Jeskell
We don’t just implement software. Jeskell works with clients to build out AI-ready infrastructure integrating watsonx.data with IBM Storage Scale, IBM Storage Ceph, and secure hybrid environments tailored for performance at scale. This includes:
- Unifying structured and unstructured data to improve AI accuracy
- Enabling RAG pipelines and multimodal workflows
- Accelerating time to value for AI initiatives
- Delivering governance and security across all data touchpoints
Whether you’re preparing for your first GenAI deployment or scaling an AI model across departments, Jeskell ensures your infrastructure is ready.
AI Strategy Starts with Infrastructure Strategy
Cloud transformation alone won’t get you there. According to IBM’s recent eBook, only 25% of enterprises have seen meaningful ROI from their cloud and AI investments. The issue? Unintentional, inconsistent architecture that’s grown too complex to manage—especially when it comes to scaling generative AI.
At Jeskell, we help you avoid that trap by aligning business priorities with technology decisions. We call it AI infrastructure by design.
Ready to Close the Gap?
If your AI isn’t delivering, start by looking at your data architecture. Our team can help you explore how watsonx.data fits into a secure, high-performance environment built for today’s hybrid and AI-driven enterprises.