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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.

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How to Make Sure Your IoT Systems Stay Compliant

Smart Data Collective

IoT plays a significant role in information technology, yet the pace of deployments has outpaced the awareness of compliance issues. IT professionals must work hard to stay ahead of the curve, especially if they plan to integrate IoT in various facets of their operations. Cyber Security for IoT.

IoT 130
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How IoT Can Be Connected to Business Intelligence

Smart Data Collective

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. BI and IoT are a perfect duo as while IoT devices can gather important data in a real team, BI software is intended for processing and visualizing this information. Ensure cloud data storage.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Data and network access controls have similar user-based permissions when working from home as when working behind the firewall at your place of business, but the security checks and usage tracking can be more verifiable and certified with biometric analytics. This is critical in our massively data-sharing world and enterprises.

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Outdated business apps can cloud your AI vision

CIO Business Intelligence

Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. The aim is to create integration pipelines that seamlessly connect different systems and data sources.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture components A modern data architecture consists of the following components, according to IT consulting firm BMC : Data pipelines. A data pipeline is the process in which data is collected, moved, and refined. It includes data collection, refinement, storage, analysis, and delivery.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.