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The Future of AI: High Quality, Human Powered Data

Smart Data Collective

Artificial Intelligence (AI) has significantly altered how work is done. Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. How Artificial Intelligence is Impacting Data Quality.

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4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured. Companies that Rely on Big Data Must Have a Functional IT Department.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. IoT produces a treasure trove of big data.

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Top 10 Technologies That Will Transform Manufacturing in 2021

Fingent

Manufacturing technologies set to hold the reins in 2021 From big data analytics to advanced robotics to computer vision in warehouses, manufacturing technologies bring unprecedented transformation. to improve operations’ speed, reduce human intervention, and minimize […].

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Top Data and Analytics Posts of 2019

Sisense

Data for All: Empowering Users With AI, ML, and Analytics. The world of data is now the world of Big Data and analytics has had to evolve to keep up. The only way to handle larger and larger datasets is with machine learning (ML) and artificial intelligence (AI). Yes — digital transformation.

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Why is AIOps an Industrial Benchmark for Organizations to Scale in this Economy?

GAVS Technology

Artificial Intelligence for IT Operations (AIOps) is a platform that provides multilayers of functionalities that leverage machine learning and analytics. Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence.