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September 20, 22
1 min read
Business

Combining Multiple Data Sources to Extract Richer Insights

Greenfield projects are also typically built from scratch on undeveloped land previously used for agriculture or landscape design.
Sarah Diamond
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When data is not readily available, a lot of time is spent searching for data, the reliability of that data, and also the manual entry of data. This could lead to errors, repetition, and bad data as a whole, making poor decisions.

Before collecting data, wrangling it, and performing any form of analysis; Data Scientists have to understand the problem that needs to be solved. They are the scientists of data, so they will be the ones reconstructing it to find the solution; so it is imperative they have a good understanding of the issue.

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Developing a product or system requires a huge amount of resources from team members, time, to money.

Kate Platonova

Understanding The Business Problem
Data Security

Cyberattacks have become more prominent since organisations have transitioned into using cloud data management. This could be a very big problem with organisations that deal with government data, and public information that needs to be protected.

The problems caused are:

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Sarah Diamond
A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart.
previous post
It’s Time to Listen More to Your Employees!
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5 Steps to Transform into a Data-Driven Organization

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Comments (3)

  1. Kristin Watson
    Reply
    October 25, 22 at 3:17 am

    For me, the most important part of improving at photography has been sharing it. Sign up for an Exposure account, or post regularly to Tumblr, or both.

    1. Alex Woodie
      Reply
      October 25, 22 at 3:17 am

      By itself, AI can’t do much to solve important problems. It needs data and scalable computing power. That’s why leading companies are increasingly administering data, AI and cloud (DAC) as a unified whole.

  2. Kristin Watson
    Reply
    October 25, 22 at 3:18 am

    The data industry realizes that AI bias is simply a quality problem, and AI systems should be subject to this same level of process control as an automobile rolling off an assembly line.

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Combining Multiple Data Sources to Extract Richer Insights
September 20, 22
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It’s Time to Listen More to Your Employees!
September 20, 22
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