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September 20, 2022
1 min read
Office

It’s the consumption of analytics, not the creation

Analytics is enjoying rapid uptake by organizations of all sizes – but we’re seeing an alarming trend. Many companies seem overly...
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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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Comments (3)

  1. Kristin Watson
    Reply
    October 25, 2022 at 8:38 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, 2022 at 8:40 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. Esther Howard
    Reply
    October 25, 2022 at 8:39 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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