Agentic AI stalls when data is fragmented. VAST Data changes that.
By unifying structured and unstructured data on one platform, with native vector search, parallel event streaming, and end-to-end pipeline orchestration, VAST Data enables real-time reasoning over fresh data and scalable coordination across AI agents. The result is production AI systems that are faster, simpler, and more reliable.
Stop managing storage.
Start fueling innovation.
Agentic applications, LLMs, and infrastructure now operate as a single system through data.Â
VAST Data AI OS sits at the center of how that system works.
In this session, Oxford Nanopore Technologies Vice President of Machine Learning Mike Vella explores how AI and high-performance computing are transforming modern genomics and molecular biology. Beginning with an introduction to nanopore sequencing and the challenge of interpreting noisy biological signals in real time, the talk examines how machine learning has become fundamental to converting raw sensor data into accurate biological insight.
The session will cover the scale and complexity of life sciences data, why biological AI workloads are uniquely demanding, and how advances in GPU computing and ML infrastructure are enabling major improvements in sequencing accuracy, speed, and downstream analysis. Mike will also discuss emerging directions including AI-driven molecular design, the long-term potential of DNA as a data storage medium, and how AI may reshape the future of life sciences over the coming decades.
Your AI strategy is only as strong as the data behind it. If your models are slow, your agents are unreliable, or your stack is costing more than it delivers — we should talk.
Come see why the world's most data-intensive organisations are replacing complexity with VAST.
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Feel the speed of the VAST Data AI OS and gear up for greatness—stop by daily for your chance to win an exclusive F1 Atlassian Williams Racing team shirt!
