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Breaking barriers in geospatial: Amazon Redshift, CARTO, and H3

AWS Big Data

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. This often overwhelms traditional visualization tools and methods. Figure 1 – Map built with CARTO Builder and the native support to visualize H3 indexes What are spatial indexes?

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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

At Estée Lauder , the company has released a voice-enabled makeup assistant designed to assist visually impaired people with applying makeup. The District of Columbia Water and Sewer Authority is using predictive maintenance to identify potential water main breaks and to monitor performance of collection systems.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Whether the company needs a comprehensive financial analytics strategy or process, R has become one of the most used data science tools to explore and manage data. Let’s get started.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. As the future of commerce unfolds, each use case interacts holistically to transform the customer journey from end-to-end–for customers, for employees, and for their partners.

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3 Key Components of the Interdisciplinary Field of Data Science

Domino Data Lab

Data scientists have to work with different types of data, interact with different types of computer systems, program in various languages, work in different development environments and stitch all of their work together across the entire data science lifecycle. Computer Science Skills. After cleaning, the data is now ready for processing.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Using machine learning, RED indicates the impact of events on stock prices.

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An In-Depth View of Data Science

Domino Data Lab

Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. In fact, deep learning was first described theoretically in 1943. Improvements in storage have made it possible to capture, manage and use this data in as fast as real time.