Early warning systems play a key role in multiple business contexts – they could help prevent injuries/deaths at construction sites, predict equipment failure in advance, or determine when a customer is likely to churn. While traditional data analytics approaches to building early warning systems have relied on structured data, new techniques are emerging that use artificial intelligence algorithms on unstructured data – which could be in the form of text, speech, audio, video, etc.

As you participate, you will learn how existing infrastructure can be coupled with AI algorithms to deliver improved safety & performance in different business scenarios.

 
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Outline/Structure of the Talk

1. Introduction to early warning systems

2. AI algorithms for video & speech processing

3. Sensor data - detecting rail wheel failure

4. Speech processing - predicting customer churn from conversations, assessment of patient health from conversations.

5. Video analytics - safety monitoring from CCTV footage, automated track inspection.

Learning Outcome

1. Learn about AI algorithms for object detection & speech processing.

2. Real world applications for safety and performance.

Target Audience

Data Scientists & ML engineers building applications using AI.

schedule Submitted 3 days ago

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