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Understanding the 5Vs of Big Data

Acuvate

In order to understand at what point ‘data’ transitions into being ‘big data’, and what its key elements are, it is imperative that we study the 5 Vs associated with it: Velocity, Volume, Value, Variety, and Veracity. What is Big Data. Big data volume defines the ‘amount’ of data that is produced.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

Exploring the interplay between Humans, Technology and AI for design thinking Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI? This involves moving computing power, data storage, and decision-making to the edge of operations.

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Design Thinking Requires the Human Touch in a World of Technology and GenAI.

Paul Hobcraft

Design Thinking is seen as the essential element that will combine with technology and AI in the future, yet the need for the human touch will still be essential. This can lead to a radically different approach to developing innovative solutions, ones that need to consider the interplay between humans, technology, and generative AI.

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How Big Data And AI Are Aiding The Fight Against Pandemics

Acuvate

However, trying to do so poses a huge challenge for the public health authorities as it requires a large amount of information to be gathered in real-time and analysed quickly in order to come up with an effective combat strategy. TECHNOLOGY ON THE FRONTLINES OF COVID-19. Using Big Data to Track the Spread of the Virus.

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Information Architecture’s Teenage Dilemma

Boxes and Arrows

Imagine if you will information architecture as a pimply-faced, malcontent teenager. The IA Summit (and information architecture) enters adolescence. The first IA Summit was held April 8-9, 2000, in Boston, MA, and was titled Defining Information Architecture. DATA.gov , and AWS Public Data Sets ).

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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

Instead incumbent and next-generation automakers will be evaluated based on the completeness of their solution along five dimensions: Electric , Autonomous , Connected , Mobility Services ( EAC+MS ), and Information. In this two-part series, we will discuss the big data challenge facing the automotive industry.

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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

Instead incumbent and next-generation automakers will be evaluated based on the completeness of their solution along five dimensions: Electric , Autonomous , Connected , Mobility Services ( EAC+MS ), and Information. In this two-part series, we will discuss the big data challenge facing the automotive industry.