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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. A lot has changed in those five years, and so has the data landscape.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

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The unreasonable importance of data preparation

O'Reilly on Data

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. The model and the data specification become more important than the code.

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The role of IoT in shaping smart cities

CIO Business Intelligence

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. According to IDC, the IoT market in the Middle East and Africa is set to surpass $30.2 Popular examples include NB-IoT and LoRaWAN.

IoT 123
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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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Outdated business apps can cloud your AI vision

CIO Business Intelligence

The data retention issue is a big challenge because internally collected data drives many AI initiatives, Klingbeil says. With updated data collection capabilities, companies could find a treasure trove of data that their AI projects could feed on. of their IT budgets on tech debt at that time.

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5 Incredible IoT Applications In Civil Engineering

Smart Data Collective

As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. Adoption is certainly ramping up, and the technologies that support IoT are also growing more sophisticated — including big data, cloud computing and machine learning.

IoT 87