Remove 2019 Remove Analytics Technologies Remove Big Data Remove Optimization
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Big Data is an Important Part of Library Marketing Strategies

Smart Data Collective

We are all in awe of the changes that big data has created for almost every industry. The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design.

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Here’s How Big Data And Business Card Marketing Go Together

Smart Data Collective

They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns. We can draw a similar conclusion about the relevance of business cards in 2019.

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

Particularly with continuing rapid evolution of open source and commercially available algorithms or even pre-trained models, the importance of slashing time spent on data gathering and pre-processing only grows. And once a model has been trained, tuned and optimized, data scientists want to put it to work for the business ASAP.

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Using Data Analytics to Build Dedicated Project Teams: Steps to Success

Smart Data Collective

Data analytics is the backbone in many modern organizations. Companies need to analyze data to optimize their business models in a variety of ways. They have found that big data has changed their business models in countless ways. They are using data analytics to get the most out of their workers.