Tag: data science

Ethical Data Science Is Good Data Science

Jun 22, 2018 |

There’s no doubt about it: The future will be machine driven, and central to this future are the advanced algorithms, which are fueled by the data they’re trained on. Every ad you see, every car driving itself, every medical diagnosis provided by a machine will be based on your data – Read more…

Anaconda: Data Science Exiting Hadoop for the Cloud

Jun 14, 2018 |

Data scientists are embracing cloud-native frameworks as they move on from on-premises data infrastructure previously dominated by Hadoop, concludes a survey on the state of data science.

The shift is driven in part by the enterprise transition from merely managing big data to using machine learning and other connected data tools to glean insights in real time, according to the data science survey released this week by Python platform specialist Anaconda Inc. Read more…

Want to Win at AI? Aim High, But Start Small

Jun 11, 2018 |

Brand leaders are starting to recognize that they are no longer competing on the basis of products or services alone. Increasingly, their prime battleground is consumer experience. In a recent survey, more than half of consumers said they would likely switch brands if a company didn’t personalize its messages to them. Read more…

Why Data Scientists Should Consider Adding ‘IoT Expert’ to Their List of Skills

Jun 7, 2018 |

The work of a data scientist is never done — nor is the pursuit of personal growth and knowledge. Technology advances and evolves at alarming speeds, which means anyone working in the industry must remain informed if they want to be competitive. Read more…

How 3 Startups Are Tackling Machine Learning Challenges

Jun 4, 2018 |

Machine learning is the secret sauce that allows us to use computers to automate tasks in powerful new ways. However, there are a lot of steps that must go right for the ML to work: Read more…

Data Science Success All About the Models, Domino Says

May 31, 2018 |

Forget about being “data driven.” What you really want to be is “model driven,” according to the CEO of Domino Data Lab, which today unveiled its new vision for elevating the predictive model as the single most important asset driving success in data science organizations. Read more…

Opening Up Black Boxes with Explainable AI

May 30, 2018 |

One of the biggest challenges with deep learning is explaining to customers and regulators how the models get their answers. In many cases, we simply don’t know how the models generated their answers, even if we’re very confident in the answers themselves. Read more…

Citizen Data Scientists Take On Bigger Roles

May 29, 2018 |

There’s a common theme I’ve detected in talking to customers about how data is used now and what the future holds. Every company has a clear vision of where it wants its data to go, but no clear, unified vision of how to get there or who will lead the way. Read more…

Cloudera Gives Data Scientists More Options for ML

May 22, 2018 |

Cloudera unleashed a collection of new software today that’s geared at accelerating the development and deployment of machine learning programs. In addition to a new release of its Data Science Workbench that lets data scientists deploy ML models as APIs with the push of a button, it released a new iteration of its enterprise suite of software based around Apache Hadoop, Cloudera Enterprise 6.0, that offers first-class support for GPUs, among other new features. Read more…

Why Developers Need to Think like Data Scientists

May 18, 2018 |

Data is growing faster than is even fathomable. By 2020, roughly 1.7 megabytes of new information will be created every second for every human being on the planet. Given the immense amount of data, it’s no wonder there is a call in all industries for talent that can collect and analyze the data. Read more…

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