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The 6 Layers of an IoT Solution

CDW Research Hub

Your first thought about the Internet of Things (IoT) might be of a “smart” device or sensor. However, building an IoT solution requires thought into six distinct layers, each with its own considerations and security implications. So, what are the six layers of IoT? Layer 1: IoT devices. Layer 2: Edge computing.

IoT 89
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Digital KPIs: The secret to measuring transformational success

CIO Business Intelligence

Efficiency metrics might show the impacts of automation and data-driven decision-making. For example, manufacturers should capture how predictive maintenance tied to IoT and machine learning saves money and reduces outages. Digital Transformation, IT Leadership, IT Strategy, ROI and Metrics

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How to Pinpoint Where Your Organization Wins (and Loses) with Data

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.

IT 99
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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise. to overcome before they become competitive as well.