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Company: Pure Storage
Job Title: FlashBade Sales
Dan Chester has spent the last twenty years working on the boundary between algorithms, software and hardware, helping customers to develop solutions that map applications to innovative hardware architectures. Originally an electronic engineer designing high speed networking equipment, he has gone on to co-found several start-ups and lead internal programs in fields as diverse as software-defined radio, data centre cooling, multi-processor system-on-chip and reconfigurable hardware. Over the last 6 years Dan has worked primarily in the area of data storage - helping customers solve problems around the exponential growth of data, the performance requirements of distributed computing and, most recently, the challenges associated with building production-grade machine learning data processing pipelines across large clusters of GPUs in frameworks such as TensorFlow.
Dan Chester Seminars
From Bytes to AI: Why it's all about the data lifecycle Wed 3rd Oct 11:00 - 11:30
From Bytes to AI: Why it's all about the data lifecycle
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI).
- With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
Data is the heart of modern deep learning algorithms.
- Before training can even begin, the hard problem is collecting the labeled data that is crucial for training an accurate AI model. Then, a full scale AI deployment must continuously collect, clean, transform, label, and store larger amounts of data. Adding additional high quality data points directly translates to more accurate models and better insights.
The goal of this session is to describe and make sense of all of the different ways that data engineers and data scientists ingest, process, and use data in a deep learning system, and then to focus on how a data architect can design the storage infrastructure to power a production AI pipeline.
Time / Place
Wed 3rd Oct 11:00 to 11:30
Access Plus: AI & Analytics