… NoSQL data storage mediums [30], [31] with our techniques for optimising AI workloads, since
such workloads are … Gao et al., ‘‘Data motifs: A lens towards fully understanding big data …

… experimental perspective, toward optimising computational … We can see that the patterns
are consistent with the views … are not capable of handling analytical workloads. The platform’s …

… , society, and culture towards systems and actions that … With this understanding, we proceed
to examine the specific … BD’s extensive data analysis can uncover patterns and insights that …

… data has proven useful in explaining and predicting problem-solving performance and
problem-solving behavioral patterns. … of the results through the lens of RQ1, followed by design …

… and AI is a known method to finx patterns in complex data … architectures through the lens of
neuromorphic computing. … access novel data-flow architectures developed for AI workloads. …

… types of data work are being added to the workloads of clerical … the public lens, and forms
of content moderation that involve the … identify key themes of the papers, using the list of key …

… ing and Data Mining is to deliver a set of tools and methods to extract automatically or
semiautomatically relevant and easy-to-understand insights, such as rules, patterns, irregularities, …

… In this regard, our proposed equations can assist in selective offloading of big data workloads,
… Gao et al., “Data motifs: A lens towards fully understanding Big Data and AI workloads,” in …

… provides a structured lens through which to understand the … organizations to deploy AI
workloads closer to the data source, … Complex pricing models, unpredictable usage patterns, and …

… original or intermediate data inputs, called as data motifs. For … and 47 big data and AI marks
for seven workload types: … 2018) Data motifs: a lens towards fully understanding big data and …