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The Fastest Growing Analytics And Data Science Roles Today
Not long ago, the role of Data Scientist was what most companies wanted to discuss with me in terms of roles they needed to understand and add to their organizations. Then, the role of Data Engineer became a big topic of discussion. In the past year, there has been a
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Data Engineering From A Data Scientist’s Perspective
We’ve had technical people focused on the ingestion and management of data for decades. But, only recently has data engineering become a critical, widespread role. Why is that? This post will outline a somewhat contrarian view as to why data engineering has become a critical function and how we might
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On AI, Deflate Both the Positive and Negative Hype
It seems to be inevitable. Any popular technology or approach to business change apparently has to involve a large amount of breathlessly positive media-driven hype, and then must be followed by potshots and disparagement. The positive press usually lasts for a couple of years or so, and then authors, journalists,
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In Praise of “Boring AI”
The press, consultants, and IT market research firms would have us believe that AI is the most exciting technology available today. And it is—but in part because there aren’t a lot of exciting alternatives. Blockchain isn’t turning out to be the revolutionary technology it promised to be, and it will
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The Most Important Step Toward Ethical Analytics: Intentionality
Lately I’ve had a lot of conversations with clients about the intersection of ethics and analytics. I’ve also been presenting on the topic at a number of conferences. The interest in ethics has exploded recently, driven in large part by the rise of artificial intelligence. One common question I get
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Insights on Aisle Six
Kroger has stocked the selves with data but is the product right for you?The great paradox of the massive retail disruption is that everyone agrees that it is indeed a massive disruption, yet often the responses of firms are a lot less than massive. And since data is at the
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Unlocking Art of the Possible: Driving Analytics Adoption
Despite all the energy, hype, momentum, development, and investment towards it, adoption of analytics at the enterprise level is still low and 87% of the data science models never make it to production. My name is Ahmer Inam, a data and analytics evangelist with former leadership roles at Nike Inc,
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Creating an Analytics Community of Practice
I’ve had the opportunity to work with some incredible organizations while at IIA and one of the activities I enjoy most is listening to different ideas and solutions to solve a similar challenge. One of the perennial hot topics I’ve heard our clients discuss is: how do you get the
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You Need Some External Data
Historically, organizations used analytics in situations where they had lots of internal data. The data was the outcome of well-structured, repetitive processes supported by transactional systems. If, for example, you had sold a lot of products at a lot of different prices, you could do pricing analytics on data in
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The Fuzzy Line Between Good and Evil Data Science
The vast majority of people building analytics and data science processes have every intention of being good and ethical. As a result, most potentially unethical and evil processes arise in situations where that wasn’t the intention. The problem is typically that proper focus and governance is not in place to