Visualizing Geospatial Data at Scale

Arcadiadata

Geospatial data is everywhere today. Your mapping capabilities need to handle the growing volumes of “big data” to deliver location-based insights at any level. Large-scale mapping use cases require a scalable and real-time visualization platform that enables self-service analysis. End users need a fast, interactive system that can immediately display any view of their data on demand.
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Spotlight

Mid-market companies have never faced a world so complex and disruptive. With new challenges around every corner, they’re navigating an unprecedented amount of risk: Physical risks: From onsite security to executive and asset protection, physical risks threaten both business continuity and employee safety. Business disruptions:

OTHER ON-DEMAND WEBINARS

Digital Leadership: Accelerating Growth with Data and Analytics

The events of the past year have changed the way we think about digital experience, and organizations that are serious and strategic about digital transformation are leaping ahead of the rest. Kirsten Newbold-Knipp, Fullstory's Chief Marketing Officer, and guest speaker James McCormick, Principal Analyst at Forrester, host this on-demand exploring Digital Leadership: Accelerating Growth with Data and Analytics, featuring Forrester’s Winning Strategies for Getting Digital Experience Right.
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How Investors Can Leverage Big Data and AI for Better ESG and Water Risk Analysis

Ceres Channel

Alternative data and AI (artificial intelligence) are increasingly being explored by investors as ways to gain ESG and potentially water risk insights. In this Ceres Webinar, speakers Ashby Monk, PhD from Stanford and Steven Fortier and Dr. Toby Messier from Aquantix explore the reality and possible future use of alternative data, natural language processing and AI in developing new approaches to collecting and analyzing E. risks – particularly those related to water.
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Applying Convolutional Neural Networks with TensorFlow

Databricks

In this latest Data Science Central Deep Learning Fundamentals Series webinar, we will cover the fundamentals behind TensorFlow and how to apply them within a convolutional neural network (CNN) example. The principles we will cover include CNN concepts and their impact to the accuracy and loss of your network. All these concepts will be brought to life by demonstrating how Databricks simplifies deep learning - letting you quickly access ready-to-use ML environments, as well as prepare data, and train models faster. After this session, if requested, you will receive the presentation and associated notebooks so you can run the samples yourself.
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The Role of Data Governance in a Data Strategy

A Data Strategy is a plan for moving an organization towards a more data-driven culture. A Data Strategy is often viewed as a technical exercise. A modern and comprehensive Data Strategy addresses more than just the data; it is a roadmap that defines people, process, and technology. The people aspect includes governance, the execution and enforcement of authority, and formalization of accountability over the management of the data.
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Spotlight

Mid-market companies have never faced a world so complex and disruptive. With new challenges around every corner, they’re navigating an unprecedented amount of risk: Physical risks: From onsite security to executive and asset protection, physical risks threaten both business continuity and employee safety. Business disruptions:

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