Tag: data science

Apache Zeppelin Launches Latest Data Science Notebook

Mar 23, 2018 |

ZEPL, the startup founded by the creators of interactive data analytics tool Apache Zeppelin, has moved its multi-tenant analytics platform out of beta, announcing its general availability this week.

The platform is among a growing list of data science notebooks aimed at enterprise collaboration in conducting analytics via a single notebook interface. Read more…

IBM Launches New Cloud for Data Science and Engineering

Mar 16, 2018 |

IBM today unveiled a new cloud offering called Cloud Private Data that’s designed to help organizations utilize data science and machine learning techniques to generate insight from data, and then engineer AI products that put those insights into use. Read more…

What Kind of Data Scientist Are You?

Mar 15, 2018 |

If you’ve worked with the data science community, you’ve probably interacted with data scientists and formed a definition for the increasingly popular position. But it turns out, not all data scientists are alike, and according to a recent analysis by researchers at UCLA and Microsoft, there are actually nine different types of data scientists. Read more…

Top 3 New Features in Apache Spark 2.3

Mar 14, 2018 |

It’s tough to find a big data project that’s had as much impact as Apache Spark over the past five years. The folks at Databricks, who contribute heavily to Spark (along with the wider Spark community) are keeping the project on the cutting edge with version 2.3. Read more…

Strata Speakers Drop Clues on Winning with Data Science

Mar 8, 2018 |

The rapid pace of technological innovation is giving organizations amazing new capabilities in the field of data science. These advances are lowering the barrier of entry and super-charging data science capabilities for organizations around the world. Read more…

Orchestrator Emerges to Speed ML Models to Production

Mar 6, 2018 |

As the pace of machine learning model development accelerates, vendors are beginning to offer orchestration tools designed to help data scientists manage the testing, retraining and redeployment of predictive analytics models with short shelf lives. Read more…

Winners and Losers from Gartner’s Data Science and ML Platform Report

Feb 28, 2018 |

Gartner published its latest Magic Quadrant for data science and machine learning platforms last week. Sixteen vendors made cut for Gartner’s report this year, the same number as last year. Read more…

ParallelM Aims to Close the Gap in ML Operationalization

Feb 21, 2018 |

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production.

Dubbed MLOps, ParallelM‘s software helps to automate many of the operational tasks required to turn a machine learning model from a promising piece of code running nn Spark, Flink, TensorFlow, or PyTorch processing engines into a secure, governed, and production-ready machine learning system. Read more…

One Containerized View of Data Science’s Future

Feb 8, 2018 |

Containers have emerged as legitimate platforms for running data science workloads. But are Docker and Kubernetes here for good, or is it just a passing data science fad? We looked to Anaconda’s SVP of Products and Marketing Mathew Lodge for insights on the matter. Read more…

Precision Data Is The New Big Data

Feb 6, 2018 |

Businesses, especially big enterprise, are always looking to grow revenue by leveraging their most valuable asset, their installed bases. They know that leveraging their commercial (customer, partners and vendors) relationship data inside their agreements and contracts goes a long way to improving their bottom lines. Read more…