Remove Data Analytics Remove Data Processing Remove Enterprise Remove IoT
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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Temporal data and time-series. IoT and its applications.

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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. Here, Dickson sees data generated from its industrial machines being very productive.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

This very architecture ingests data right away while it is getting generated. It may consist of several components for different purposes, such as software for real-time processing, data manipulation and real-time data analytics. Processing of pieces of data in real-time is possible because of the streaming data option.

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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

Enterprises across industries have been obsessed with real-time analytics for some time. The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. There are some core components of a real-time data stack.

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What is digital transformation? A necessary disruption

CIO Business Intelligence

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Other research confirms the imperatives for engaging in digital transformation.

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Announcing the 2021 Data Impact Awards

Cloudera

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post.