Dataiku

APRIL 18, 2022

The feature store is an emergent topic in data science and many data scientists and others in the machine learning (ML) space seek further understanding of this idea of developing a repository for reliable and impactful features to streamline ML model building. This blog rehashes the helpful insights from the session.

Modeling 59

Modeling Machine Learning Data Science 59

Data Science 101

APRIL 12, 2019

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. Checkout: Dataiku Careers. #2 3 1010 Data. Checkout: 1010 Data Careers.

Statistics 110

Statistics Data Science Machine Learning Software 110

Dataiku

NOVEMBER 1, 2021

During the 2021 Dataiku Product Days, VP of AI Solutions for Accellion Partners Ryan Martin walked us through a data science project to demonstrate the conversion of projects into reusable applications on Dataiku.

Data Science 59

Data Science 59

Dataiku

APRIL 8, 2021

Impactful data science at Pfizer depends largely on having access to the right data, tools, and a network of subject matter experts who can help turn a business problem or scientific question into actionable analytical insights.

Visualization 86

Visualization Interactive Data Science Technology 86

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. A change was needed. Talal Mufti.

Data Science 94

Data Science Data Lake Cost-Benefit Digital Transformation 94

Dataiku

MAY 18, 2022

Thanks to advancements in automated machine learning (AutoML), collaborative AI , and machine learning platforms (like Dataiku ), the use of data — including for predictive modeling — across people of all different job types is on the rise. You can build your own ML model by following these five machine learning steps.

Machine Learning 72

Machine Learning Predictive Modeling Modeling 72

Dataiku

AUGUST 14, 2020

For those who do not know Dataiku DSS, it is a collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver data products more efficiently.

Data Science 87

Data Science Software IT 87

Dataiku

AUGUST 13, 2021

However, it’s not always easy for data scientists to implement models that are explainable.

Machine Learning 111

Machine Learning Modeling 111

Dataiku

FEBRUARY 25, 2021

Thanks to advancements in automated machine learning (AutoML), collaborative AI , and machine learning platforms (like Dataiku ), the use of data — including for predictive modeling — across people of all different job types is on the rise. You can build your own ML model by following these five steps.

Machine Learning 85

Machine Learning Modeling Predictive Modeling 85

Dataiku

NOVEMBER 30, 2021

Analysts, data engineers, and data scientists have always been core roles that contribute to advanced analytics projects. Dataiku 10 has exciting new capabilities that accelerate time to value and empower people across diverse functions to engage in data projects and responsibly deliver and manage AI applications.

Risk Management 59

Risk Management Risk Management Analytics 59

Dataiku

DECEMBER 16, 2020

Organizations often need business analysts and citizen data scientists to work with data scientists to create machine learning (ML) models, but they struggle to provide a common ground for collaboration.

Modeling 59

Modeling Machine Learning Visualization Management 59

Dataiku

MARCH 18, 2020

We’re thrilled to announce that Dataiku 7 is here! This release includes additional features for statisticians and data scientists as well as individual model prediction explanations for all. Ultimately, Dataiku 7 reinforces the notion of data-driven collaboration and empowers organizations with scalable, explainable AI.

Data-driven 51

Data-driven Modeling 51

Dataiku

AUGUST 14, 2019

The data science community is in a period of rapid change, and the upcoming documentary Data Science Pioneers - made by and for data scientists - will be the first to capture both this excitement and uncertainty.

Data Science 17

Data Science Uncertainty 17

Dataiku

OCTOBER 14, 2019

Dataiku Data Scientist Jed Dougherty has answers. Roger Magoulas, VP of Radar at O'Reilly Media, Inc., asks: Why is the final mile such a challenge for so many organizations who are working on AI and machine learning?

Machine Learning 14

Machine Learning Data Science 14

CIO Business Intelligence

MAY 26, 2022

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We You want all the data flowing into the ML models to be consistent and of high quality.

Machine Learning 144

Machine Learning Modeling Data-driven Enterprise 144

CIO Business Intelligence

MAY 28, 2022

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We You want all the data flowing into the ML models to be consistent and of high quality.

Machine Learning 136

Machine Learning Modeling Data-driven Enterprise 136

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? It is known to have benefits in handling data due to its robustness, speed, and scalability.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52