Data Leaders Brief

Is Dataiku for Data Scientists?

Dataiku

SEPTEMBER 10, 2021

Since its founding in 2013, Dataiku was built by data scientists and for data scientists. While Dataiku is also a tool for analysts and those that prefer visual interfaces, the platform still offers multiple features and capabilities for data scientists. In one word, yes!

Visualization

Visualization Data Science IT

Do You Want to Build a… Machine Learning Model?

Dataiku

JANUARY 8, 2024

In the past few years, machine learning (ML) has gone from a discipline restricted to data scientists and engineers to the mainstream of business and analytics.

Machine Learning

Machine Learning Modeling Predictive Modeling Analytics

Demo: Deployment and Delivery Options in Dataiku

Dataiku

NOVEMBER 3, 2021

In Dataiku, the answer is simple. This blog post features a demo from the 2021 Dataiku Product Days session on deployment and project delivery in Dataiku. This session was presented by Jacqueline Kuo, Senior Data Scientist at Dataiku, and François Sergot, Senior Product Manager at Dataiku.

Modeling

Modeling Management

Webinars

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

MORE WEBINARS

3 Career Options for Data Scientists Who Want to Maintain Their Skills

Dataiku

NOVEMBER 29, 2021

Data scientist positions are very different from one organization to another but, regardless, you can ensure a varied and exciting career in this role. Data science skills are easily reusable and data scientists who leave their specific role aren’t necessarily leaving the data science and AI field.

Data Science

Data Science IT

Building a Feature Store for Quicker and More Accurate ML Models

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

Modeling Machine Learning Data Science

Top Companies to work for if you are a data scientist

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. 2 StreamSets.

Statistics

Statistics Data Science Machine Learning Software

How Etihad taps data science to optimise airline operations

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

Data Science Data Lake Cost-Benefit Digital Transformation

Key Steps Involved in the Machine Learning Process: A Primer

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

Machine Learning Predictive Modeling Modeling

How Dataiku Sandboxes Java to Avoid Heaps of Garbage

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

Data Science Software IT

How to Build Machine Learning Models

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

Machine Learning Modeling Predictive Modeling

Announcing Dataiku 7: Now With Deeper Collaboration and More Granular Explainability

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

Data-driven Modeling

The Inside Scoop on Upcoming Documentary "Data Science Pioneers"

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

Data Science Uncertainty

Best Practices for Operationalizing Data Science & Machine Learning

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

Machine Learning Data Science

Making the most of MLOps

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 Is there a model that can provide the necessary results? How can it be built?

Machine Learning

Machine Learning Modeling Data-driven Enterprise

Making the most of MLOps

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 Is there a model that can provide the necessary results? How can it be built?

Machine Learning

Machine Learning Modeling Data-driven Enterprise

The Modern Data Stack Explained: What The Future Holds

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

Data Warehouse Cost-Benefit Data Transformation Business Intelligence

What Is a Data Fabric and How Does a Data Catalog Support It?

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

Metadata IT Metrics Data-driven

Data Leaders Brief

Is Dataiku for Data Scientists?

Do You Want to Build a… Machine Learning Model?

Webinars

Trending Sources

Demo: Deployment and Delivery Options in Dataiku

Webinars

3 Career Options for Data Scientists Who Want to Maintain Their Skills

Building a Feature Store for Quicker and More Accurate ML Models

Top Companies to work for if you are a data scientist

How Etihad taps data science to optimise airline operations

Key Steps Involved in the Machine Learning Process: A Primer

How Dataiku Sandboxes Java to Avoid Heaps of Garbage

How to Build Machine Learning Models

Announcing Dataiku 7: Now With Deeper Collaboration and More Granular Explainability

The Inside Scoop on Upcoming Documentary "Data Science Pioneers"

Best Practices for Operationalizing Data Science & Machine Learning

Making the most of MLOps

Making the most of MLOps

The Modern Data Stack Explained: What The Future Holds

What Is a Data Fabric and How Does a Data Catalog Support It?

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