Data Scandals in the Age of GDPR: Changing our Perceptions of Data

Editor’s Note: Who owns the data? For much of my career in survey research, it was an easy question to answer: the client owned the data, but not the names of the survey participants. That was confidential. Now, in the digital world, attaching all kinds of personal data to specific individuals for marketing purposes has become a staggeringly huge business.

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How These 8 Direct-to-Consumer Brands Are Changing Ecommerce Forever

Direct-to-consumer (D2C) companies cater to people’s desire for simplicity. As much as consumers claim to love choice, analysis paralysis is a real thing; D2C brands eliminate the hassle of researching, browsing, and choosing from hundreds of options, making shopping practically effortless.

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MarTech Interview with Ashwin Navin, CEO and Co-Founder at Samba TV

“If you look at how much media is spent against traditional planning tools, market-mix models and traditional forms of currency, we still have a very substantial amount of work to do to move the industry forward.”
Tell us about your role and journey into technology. What inspired you to start Samba TV?
I started Samba TV in 2008 with a few friends and colleagues.

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Three Strategies for Marketers to Embrace AI Now to Thrive in the Future

In the ongoing discussion about how much Artificial Intelligence (AI) will impact the future of work, the outlook seems bleak. McKinsey & Company estimates that between 400 million and 800 million individuals could be displaced by automation and need to find new jobs by 2030 around the world.

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How to Become an Influencer in Your Industry

Influencer marketing has skyrocketed since it first made its mark.
That’s very much due to the way purchasing decisions have changed over the years. In 2018, a study found that only 4% of people trusted celebrity endorsements. This is probably because they prefer to seek product and service recommendations from those who are, above all, knowledgeable and credible.

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How much of success in life is luck instead of skill?

How much of MLB teams’ success is due to skill, and how much due to luck? We have a pretty good idea of the answer to that. But what about success in life, in general? If a person is particularly successful in their chosen field, how much of that success is due to luck?That’s the question Robert Frank asks in his 2016 book, “Success and Luck.

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Discussion of “Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing”

This article is written with much help by David Blei. It is extracted from a discussion paper on “Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing”. [link]
We commend Wand (2016) for an excellent description of
message passing (mp) and for developing it to infer large semiparametric
regression models.

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Interviewing is a noisy prediction problem

I have done roughly 2,000 interviews in my life. When I started recruiting, I had so much confidence in my ability to assess people. Let me just throw a couple of algorithm questions at a candidate and then I’ll tell you if they are good or not!
Over time I’ve come to the (slightly disappointing) realization that knowing who’s going to be good at their job is an extremely hard problem.

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Getting to code in under a minute with Teamocil

Lately I’ve found that the overhead of configuring my development environment occupies too much of my development time, particularly on side-projects that are already time-starved.  Nobody likes to sit down–all stoked to code–and spend the first 15 minutes just getting everything up and running.

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Trey Causey, Data Product Manager

Data scientists often come from diverse backgrounds and frequently
don’t have much, if any, in the way of formal training in computer
science or software development. That being said, most data scientists
at some point will find themselves in discussions with software
engineers because of some code that already is or will be touching
production code.

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Hackers beware: Bootstrap sampling may be harmful

Bootstrap sampling techniques are very appealing, as they don’t require knowing much about statistics and opaque formulas. Instead, all one needs to do is resample the given data many times, and calculate the desired statistics. Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge.

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How to make a self-service BI tools deployment less painful

Why does self-service BI have to hurt so much? In theory, it should be the answer to all your problems. But so many enterprises end up disappointed. They’re overwhelmed with data, yet suffering from a shortage of useful information. They can’t gain insights. And it’s causing data chaos and anarchy.
>>> Read the full article on SearchBusinessAnalytics.

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