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How Will Artificial Intelligence Impact Project Management?

The Data Administration Newsletter

The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely to experience a major upheaval during the 2020s. Although 80% is arguably a bit extreme, I expect […]

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Can We Reduce the Risks of Artificial Intelligence?

The Data Administration Newsletter

Artificial intelligence (AI) is already in place with applications in areas such as medicine, automobile, education, communication infrastructure, and more. Whereas many individuals and businesses like venturing into AI, some are reluctant because of possible threats. These could relate to racial and gender […].

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. What is Software Development? Structured.

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The Impact of Artificial Intelligence on Investing

The Data Administration Newsletter

Artificial intelligence (AI) has already made a significant impact on the world of marketing, health, technology, and transportation. How […].

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The Evolution of Data Validation in the Big Data Era

The Data Administration Newsletter

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation.

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What are the Benefits of Data Annotation?

Smart Data Collective

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. Alternatively, data annotation can be outsourced to trust third-party platforms.

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Understanding the Differences Between Data Lakes and Data Warehouses

Smart Data Collective

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A Final Word.