Cloud Analytics

As data production and repositories grow to monumental levels, the aspects of data flow from the cloud to the end user or decision-making source has become ever more important. From IoT devices and edge computing, to modern big data storage architectures and visualizations, this summit follows the data lifecycle techniques and best practices within 3 leading topics in big data and the cloud in 2018: IoT, data lakes, and business intelligence.

Summit Tracks

Machine & Deep Learning Frameworks

Learn the best practices, techniques and tools to support ML & DL projects.

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Data Lakes in the Cloud

Uncover the advantages of moving the data lake to the cloud.

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Trends in Cloud BI & Analytics

Discover the latest in data visualization and business intelligence for cloud applications.

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Recent Webinars

You Talkin’ to Me? AI/NLP Conversational Chatbots for Next-Gen Customer Service

You Talkin’ to Me? AI/NLP Conversational Chatbots for Next-Gen Customer Service

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The Operational Data Warehouse – The Next Big Thing in Cloud BI & Analytics

The Operational Data Warehouse – The Next Big Thing in Cloud BI & Analytics

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Cloud Modernization with Data Virtualization – A Case Study by TransAlta

Cloud Modernization with Data Virtualization – A Case Study by TransAlta

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Insights in the Cloud: Guiding Your Cloud Analytics and BI Strategy

Insights in the Cloud: Guiding Your Cloud Analytics and BI Strategy

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Analytics Driven Personalized Healthcare Using Machine Learning and AI

Analytics Driven Personalized Healthcare Using Machine Learning and AI

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The Cloud and BI: Modern Data Modeling For Today’s Business

The Cloud and BI: Modern Data Modeling For Today’s Business

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A Guide to Mastering Analytics in the Hybrid Cloud

A Guide to Mastering Analytics in the Hybrid Cloud

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Why You Should Move Your Data Lake to the Cloud

Why You Should Move Your Data Lake to the Cloud

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Data Lakes in the Cloud is Different- Bringing More Value to Big Data Pipelines

Data Lakes in the Cloud is Different- Bringing More Value to Big Data Pipelines

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Challenges Transitioning Machine Learning from Prototyping to Production Grade

Challenges Transitioning Machine Learning from Prototyping to Production Grade

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Achieve Fully-automated Data Processing and Machine Learning Orchestration

Achieve Fully-automated Data Processing and Machine Learning Orchestration

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Architecting an Open Source Data Science Platform: 2018 Edition

Architecting an Open Source Data Science Platform: 2018 Edition

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[Ep.1] What’s Big in BI: An Ethical Foundation for the AI-Driven Future

[Ep.1] What’s Big in BI: An Ethical Foundation for the AI-Driven Future

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Business Transformation with Machine Learning and AI Use Cases on Google Cloud

Business Transformation with Machine Learning and AI Use Cases on Google Cloud

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Executing Machine Learning and Deep Learning Projects

Executing Machine Learning and Deep Learning Projects

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Today’s Simple AI For All

Today’s Simple AI For All

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