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Features

What’s the Difference Between AI, ML, Deep Learning, and Active Learning?

Sep 17, 2019 |

Today, the terms artificial intelligence (AI) and machine learning (ML) are often used interchangeably. While the terms are related, they mean different things. We map out how they all relate to one another, so your team can find the best candidates, best approaches and best frameworks as you embark upon your AI journey. Read more…

Facial Recognition in the Ethical Crosshairs

Sep 16, 2019 |

Facial recognition has become one of the most visible forms of AI, thanks to recent advances in deep learning and neural networks that have increased the accuracy to unprecedented levels. Read more…

How Sumo Logic Turns the Event Data Tsunami into Continuous Intelligence

Sep 12, 2019 |

The ongoing explosion of event data can easily overwhelm your ability to make sense of it. Modern applications — many containerized and running on the cloud — generate huge streams of log data describing everything that goes on. Read more…

Disruptive Economics and Democratization of Data

Sep 11, 2019 |

It seems like only a few years ago that managing data growth was a high-priority objective for most users. What happened? The short answer is the same thing that happened to oil. Read more…

Google Charts Data Stack Overhaul with Kubernetes

Sep 10, 2019 |

Google today announced that its hosted Spark and Hadoop distribution, Cloud Dataproc, can now run on Kubernetes, at least as an alpha. It may not sound particularly groundbreaking. But when you consider the work that went into replacing YARN with Kubernetes on Cloud Datarpoc — Read more…

Are We Asking Too Much from Citizen Data Scientists?

Sep 9, 2019 |

Anybody who has tried hiring a data scientist can attest to the fact that we’re in the midst of a skills crunch of epic proportion. Cutthroat competition and sky high salaries are just two signs of the considerable lack of available data science talent. Read more…

4 Reasons Why It’s Critical to Integrate Front and Back-Office Data

Sep 5, 2019 |

For many businesses, despite best-in-class architecture, the front-end and back-end of their company exist as two functioning but separate parts of the whole enterprise. The front-end is where the customer interacts, but there is little to no integration with the behind the scenes back-end where the cogs are turning and the data is stored. Read more…

AIOps and the Kubernetes Revolution

Sep 4, 2019 |

Kubernetes has emerged as the defacto standard for container orchestration in the new cloud architecture. There’s no doubt about it. But hidden from view in the race to K8s adoption is a new form of complexity that threatens to overwhelm human operators. Read more…

Can We Stop Doing ETL Yet?

Sep 3, 2019 |

Despite the advances we’ve made in data science and advanced analytics in recent years, many projects still are beholden to a technological holdover from the 1980s: extract, transform, and load, or ETL. Read more…

AI Squares Off Against Fake News

Sep 2, 2019 |

In 2016, “fake news” was the Oxford English Dictionary’s Word of the Year. Thousands upon thousands of fake stories had plagued the internet throughout the U.S. presidential election – some shared millions and millions of times. Read more…

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