Accelerating Machine Learning on Databricks

CartoDB

Learn how you can combine CARTO and Python for spatial data science from the comfort of your own Jupyter notebook. In this technical webinar, Andy Eschbacher  (Data Scientist at CARTO) and Joe Pringle (VP - North America at CARTO) show how to apply CARTOframes and CARTO's Python SDK to build powerful end-to-end spatial data science workflows. This webinar specifically focus on two areas: Using CARTO in a Jupyter notebook. Demo examples of custom data science web applications built with CARTOframes and CARTO VL.
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Spotlight

Data analytics are used to test controls and validate that business risks are managed. This would generally occur at a point-in-time when an assurance activity is scheduled. Rather than test a number of transactions, the entire population of transactions can be reviewed for greater coverage. Data analytics includes automated tools such as generalised audit software, test data generators, computerised audit programs, specialised audit utilities and computer-assisted audit techniques (CAATs).

OTHER ON-DEMAND WEBINARS

The Future of Healthcare and the Transition to Big Data

TechD

During this webinar you will: - Boost your Medicare Hospital Compare (MHC) and Accountable Care Organization (ACO) ratings Avoid fines and penalties from the Affordable Healthcare Act - Increase the quality of provided healthcare - Lower management, administrative and data center operational costs without compromising core business values - Deliver Products and Services per consumer needs, operating standards and regulations while minimizing cost and maximizing outcomes - Support real-time, event-driven service processes and decision management capabilities
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Unleash the power of text analytics on your dark data with IBM Watson Explorer for Data Science Experience

IBM

In this webinar we will provide an overview and demonstration of new IBM Watson Explorer for Data Science Experience features that enable data science teams to more productively discover and use insight from document collections and other text data to achieve new outcomes.
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Data Analytics and AI Fraud, Waste, & Abuse

Join Google Cloud, SpringML, and Carahsoft for a webinar as we explore a framework for combating fraud, waste, and abuse. It’s not enough to chase down fraud after it happens — our solution helps you proactively identify fraud, waste, and abuse before it infiltrates your system and doesn’t penalize legitimate claims.
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Introduction to Product Analytics with The Product Folks

What is product analytics and how does it differ from marketing/web analytics or even business intelligence? Which option answers the questions you’re trying to ask? Just why, and how are digital-first businesses using product analytics?
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Spotlight

Data analytics are used to test controls and validate that business risks are managed. This would generally occur at a point-in-time when an assurance activity is scheduled. Rather than test a number of transactions, the entire population of transactions can be reviewed for greater coverage. Data analytics includes automated tools such as generalised audit software, test data generators, computerised audit programs, specialised audit utilities and computer-assisted audit techniques (CAATs).

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