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TensorFlow for FinTech - NYC MDEC Sprint

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Avatar for Vikram Vikram
July 11, 2017
Technology
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TensorFlow for FinTech - NYC MDEC Sprint

TensorFlow for FinTech - NYC MDEC Sprint

Avatar for Vikram

Vikram

July 11, 2017
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Transcript

  1. TensorFlow for FinTech And scaling your applications on Google Cloud

    Vikram Tiwari - GDE, Google Cloud Platform

  2. Intelligence Everywhere

  3. Analysis Portfolio Management Sentiment Analysis Customer Segmentation Live Support/Chat Bots

    Prediction Fraud Detection Credit Scoring Customer Retention Search Engine

  4. Usage in FinTech

  5. Mining Forms, Documents etc Scanned Images Audio Calls Video Data

  6. Stocks Risk Credit scores Products Classification

  7. Security Malicious behaviour Fraud prevention Data Security Compliance

  8. - Engaged and Evolving Community - Rapid Development - Distributed

    Training - Tensorflow Serving - Prebuilt models, TPUs Why Tensorflow?

  9. Easy to hire Code maintainability Supporting community Prebuilt models More

    research, more gains Community

  10. tf.contrib.learn Keras Scikit-Learn style API API Documentation TensorBoard Development

  11. Graph Execution Model Write once, train anywhere Train on clusters

    or individual CPUs Extensive GPUs support Training

  12. Continuous Training Pipeline Versioned Models Easily use resulting models gRPC

    or REST based APIs Serving

  13. Stable Version Tensorflow Processing Units (TPUs) Custom Filesystems Tensorflow Dev

    Summit AutoML More...
  14. None

  15. - Leader in Data and Machine Learning innovation - Ready-to-use

    Machine Learning APIs - High performance and cost effective products and services - Tensorflow on TPUs for best performance - Regulatory and Compliance ready Why Google Cloud?

  16. Fastest growing cloud platform with a major focus on Open

    Source

  17. Storage Persistent Disk Datastore, Cloud SQL, BigTable Firebase Cloud Spanner,

    BigQuery Different tiers for Cloud Storage Services Compute Engine (GCE) App Engine (GAE) Kubernetes Engine (GKE) Cloud Functions (GCF) Load Balancing, IOT core, Dataflow

  18. Wide range of compute platforms to choose from

  19. Thank you! Learn more: - Tensorflow - Tensorflow resources -

    Google Cloud Machine Learning APIs - Google Cloud Platform Solutions @Vikram_Tiwari - https://vikramtiwari.com