Tag: Data

What AI Means to a Data Scientist

How many times have you wished for more hours in the day so you can complete more tasks? A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. However, there are simply not enough data scientists in the world to deliver on the AI potential. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

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Making decisions with data – finding a practical role for Machine Learning

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Machine Learning has gone from a niche area of technology to being the savior of companies across multiple industries. Others see it as a technology that is overhyped and doesn’t deliver. Indeed, the Gartner Hype Cycle for Emerging Technologies has Machine Learning, or ML, at the Peak of Inflated Expectations. This is where technologies end up when there are huge amounts of attention and marketing exuberance on display but not necessarily the results to show adoption.

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Spinning Enterprise Data into Revenues with Analytics

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It was Rumpelstiltskin who had an amazing alchemic device – a spinning wheel – that turned straw into gold. Since then, many companies have attempted to replicate this type of magical transformation, with limited success. But, in all seriousness, business-savvy CIOs are now using enterprise analytics to monetize the vast stores of data generated every day through customer interactions and the businesses itself.

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The CIO in 2020: Will You be a Power Player or Obsolete?

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I’ve been in the enterprise tech industry for a long time — long enough to see the CIO pendulum swing from “superstar” to “endangered species.” Looking forward to 2020, how will you evolve? As a CIO, will you be a power player or obsolete?

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Room to Grow: Data-Driven Businesses Must Scale Effectively

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Let’s create business value. That seems easy enough, right? First, the good news is that there is more information delivering business value to organizations than ever before. However, information is only truly valuable when every person within an organization can access one trusted source of data to guide their decisions from anywhere at any time.

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