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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. Wondering which data science book to read?

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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

Data-driven organizations understand that data, when analyzed, is a strategic asset. Organizations are expected to experience 30-40% data growth annually , which creates greater data protection responsibility and increases the data management burden. Cloudera and Dell Technologies for More Data Insights.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 106
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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Exclusive Bonus Content: Download our Top 10 Technology Buzzwords! Get the inside scoop and learn all the new buzzwords in tech for 2020! No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. Computer Vision.

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Making Remarkable Energy Grids a Reality

CIO Business Intelligence

3] (Download our infographic to learn more about recent trends.) These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. See what we’re doing to make a difference with Rogers Business.

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.