In today’s technology environment, many organizations find themselves trying to analyze data dispersed across numerous disparate sources, including databases, data warehouses,…
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GigaOm Radar for Evaluating Machine Learning Operations (MLOps)
The time for performing production machine learning (ML) on an ad hoc basis is over. The management of experimentation, deployment, and…
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Artificial Intelligence (AI) has revolutionized the technology world. But AI is still too oriented towards data scientists and AI experts when…
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The COVID-19 pandemic wreaked havoc on supply chains worldwide and posed a critical threat to multinational manufacturers like Henkel AG &…
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Artificial Intelligence (AI) and machine learning (ML) have been enormously important and impactful in the technology world, not only in terms…
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How can an organization ensure it has access to the best data, of the highest quality, with as little delay as…
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There can be no doubt: the cloud is king. Following the cautious, initial adoption of cloud services a few years ago,…
Read MoreGigaOm Radar for Data Virtualization
Enterprises need a way to consolidate data from disparate sources without forcing assets to be physically moved or transformed. Data virtualization…
Read MoreGigaOm Radar for Video Conferencing Platforms
The world has changed. Almost overnight, the COVID-19 pandemic forced millions of workers worldwide out of their offices and into their…
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The runaway growth of data in the enterprise puts organizations in a tough spot. To help them manage, manipulate, query, and…
Read MoreCloud Data Pipeline Services: Foundational Platforms with Expandable Capabilities
Cloud Data Pipelines have matured and evolved to meet the increasing volume, diversity, and velocity of data flowing through the enterprise.…
Read MoreKey Criteria for Evaluating Video Conferencing Platforms
In the wake of the COVID-19 pandemic, organizations worldwide have scrambled to deploy and manage video conferencing platforms that have emerged…
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