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Credulous Data Science: Part Two – Surveys

Click to learn more about author Steve Miller. This is the Second Part of a two-part series. Read Part One here. About ten years ago, a software vendor with whom my intelligence consulting company partnered conducted a survey on the usage of various analytics platforms that were then prominent in the space. As a proselyte […]

Data Democratization and the Data Fabric

Click to learn more about author Tejasvi Addagada. When data is not properly integrated or is barely inter-operable, business users or processes will seldom have the right coverage of data. Availability of data often becomes a challenge which often leads to less impactful decisions and reduces the data advantage that the organization can embrace. Read further […]

Is It Time to Replace OCR with AI?

Click to learn more about author Jasmine Morgan. Document processing is a necessity, yet it consumes so much time that every large organization is striving to find ways to automate it. However, any solution to be feasible needs to be as accurate as possible, especially in the case of financial documents. Old-school OCR Until AI became […]

How to Tackle Social Issues with AI?

Click to learn more about author Charles Richard. Never have disruptive technologies like artificial intelligence (AI) and machine learning had such an impact on how your business interacts with your user community as it does now. And there is a reason for that; the accessibility of computing power and data sets have ushered in breakthroughs […]

For Better or Worse, AI is “Eating” Data Centers

Click to learn more about author Samuel Bocetta. Days after the highly-anticipated Wall Street debut of Uber Technologies, technology and finance analysts were still trying to determine what went wrong with the initial public offering. On IPO day, Uber shares failed to capture the attention of institutional investors; instead of reaching the $49 price target, […]

Simplistic and Credulous Data Science: Part One

Click to learn more about author Steve Miller. A few months ago, I was solicited by one of my many LinkedIn Data Science groups to participate in a survey. I’m generally a bit suspicious of surveys, reviewing the questions carefully before making the decision to respond. This initiative, though, posed a question that quite intrigued […]

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