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The Rise of Distributed Artificial Intelligence Through Shared Data and Cloud Solutions

  • Conference paper
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New Technologies, Development and Application IV (NT 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 233))

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Abstract

Decision-makers of present times encounter influence by an ever-increasing emotional condition created by social media, market trends, experience, and historical facts. The concept of mixed human and artificial intelligence is one of the most underrated business drivers today, and conspiracy theories, fixed mindset, and legacy systems are slowing down collective evolution. This paper intends to contribute to the everyday awareness of data sharing through cloud solutions and services. It opens a wide range of possibilities for new solutions and insights that endorse a collaborative culture where a growth mindset paired with transparency and ethics reduces time-to-value in businesses, governments, and various industries. It creates new perspectives with the help of a mixed human and artificial intelligence approach and paves the way to a safer, multi-cultural, sustainable, and ethical future.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Industrial Engineering and Management Department, Lucian Blaga University of Sibiu, 10, Sibiu, Romania

    Aurel Mihail Țîțu

  2. The Academy of Romanian Scientists, Bucharest, Romania

    Aurel Mihail Țîțu

  3. Microsoft Romania, 3, PiaţaPreseiLibere Street, Bucharest, România

    Alexandru Stanciu

Authors
  1. Aurel Mihail Țîțu
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  2. Alexandru Stanciu
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Corresponding author

Correspondence to Aurel Mihail Țîțu .

Editor information

Editors and Affiliations

  1. Academy of Sciences and Arts of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina

    Isak Karabegović

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Mihail Țîțu, A., Stanciu, A. (2021). The Rise of Distributed Artificial Intelligence Through Shared Data and Cloud Solutions. In: Karabegović, I. (eds) New Technologies, Development and Application IV. NT 2021. Lecture Notes in Networks and Systems, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-030-75275-0_57

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