Remove 2013 Remove Artificial Intelligence Remove Data Analytics
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Top 14 Must-Read Data Science Books You Need On Your Desk

Data Pine

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. Why You Need To Read Data Science Books. In 2013, less than 0.5% click for book source**.

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How Cloud Computing And Robotics Play A Role In Industrial Automation

Smart Data Collective

By 2020, the robotics technology market is expected to reach almost $83 bn, according to the Global Robotics Technology Market 2013-2020. The data gathered by robots in different service sectors can be stored in the cloud and successfully used in the future. As a comparison, the 2015 expenditure of robotics was only $71 bn.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research.

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Need for Data Modernization in Healthcare

GAVS Technology

It would also be important to invest in the right resources to keep these systems and infrastructure working at optimal levels, and to be able to cull out information from this raw data using big data analytics. So, what’s exactly behind the data overflow that we are seeing in the healthcare industry today?

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What Is Embedded Analytics?

Insight Software

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing.