9 - 10 OCTOBER 2019 / EXCEL LONDON
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Access Plus: AI & Analytics Theatre

Wed 3rd Oct 11:00 to 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.

What you will take away from this session

  • Make sense of all of the different ways that data engineers and data scientists ingest, process, and use data in a deep learning system
  • Focus on how a data architect can design the storage infrastructure to power a production AI pipeline

Speakers

Photo Speaker Name Profile
Dan Chester Dan Chester View Profile

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