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Features

Three Deadly Sins of Data Science

May 21, 2019 |

Over the last few years, data science (DS) has moved from small-scale R&D efforts in companies to production applications, strategic decision-making, and other avenues of business value creation. While it’s still early in the story of understanding how DS should operate inside a business, there are some clear “anti-patterns” or “sins.”

These problems have plagued organizations from tech titans to small startups. Read more…

The Rise of the Citizen Data Scientist: How Humanized Machine Learning Is Augmenting Human Intelligence

May 20, 2019 |

IDC estimates worldwide data volume is set to rise by 61% between 2018 and 2025 – eventually reaching 175 zettabytes – with much of this generated by businesses. Read more…

AI Ethics and Data Governance: A Virtuous Cycle

May 17, 2019 |

As companies spend billions researching and developing AI, they’re facing meaningful questions related to ethics. What does responsible AI look like? How do you control bias? It’s all very new and cutting edge, and it has serious implications for society. Read more…

GDPR’s Impact One Year Later

May 16, 2019 |

The General Data Protection Regulation (GDPR) granted Europeans unprecedented rights to control their own data, including the controversial “right to be forgotten.” The GDPR has been in effect for a year now, but what’s been the overall impact? Read more…

Datanami Career Notes: May 2019 Edition

May 16, 2019 |

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details. Read more…

Don’t Overlook the Importance of Data Stewards

May 15, 2019 |

Data scientists may be the rock stars of big data, and data engineers currently are in high demand. But companies that are serious about creating a winning data strategy should carefully consider what a well-trained data steward can bring to their organizations. Read more…

How Machine Learning Prevents Employees from Churning

May 14, 2019 |

According to Driver Knowledge, there is an average of 6 million car accidents in the U.S. every year (about 16,438 per day), 72% of these crashes result in property damage, and the driver is 23 times more likely to crash if texting. Read more…

Kafka in the Cloud: Who Needs Clusters Anyway?

May 13, 2019 |

Confluent is reimagining what it means to run Kafka in the cloud, and is jettisoning the notion that clusters are even necessary to get started with the real-time streaming data technology. Read more…

What’s Behind Lyft’s Choices in Big Data Tech

May 10, 2019 |

Lyft was a late entrant to the ride-sharing business model, at least compared to its competitor Uber, which pioneered the concept and remains the largest provider. That delay in starting out actually gave Lyft a bit of an advantage in terms of architecting its big data infrastructure in the cloud, as it was able to sidestep some of the challenges that Uber faced in building out its on-prem system. Read more…

Only Intelligent Data Can Power Artificial Intelligence

May 9, 2019 |

Our rapidly growing mastery of artificial intelligence has the potential to address society’s thorniest problems. But time and again, AI-powered projects have failed the test of fairness as algorithms have amplified the social, ethnic, and gender biases inherent in their data. Read more…

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