The Dataiku Blog

MVP for Data Projects

Often when companies get started with data projects (especially when the initiatives come from the C-suite or from the top down), they bite off more than they can chew and end up with...

operationalization, MVP, data project | October 22, 2018 | Lynn Heidmann

From Project Manager to Data Champion — Conquer Your Data Projects

Project Managers are experts at adaptation and evolution. They know how to keep their team on track and on budget, while encouraging creative problem-solving. They have contingency plans for their...

data project, project manager, operationalization, Team | October 18, 2018 | Claire Carroll

Self-Service Analytics or Operationalization: Which Should I Implement?

Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer...

operationalization, self-service analytics, organization | October 16, 2018 | Lynn Heidmann

All About Open Source

While many open source offerings fall outside the domain of data science, everyone knows that there is an open source tool (or twenty) for every data project. That's why we commissioned 451...

Open Source, data science | October 09, 2018 | Claire Carroll

Fewer Headaches (Thanks to Data Science)

Usually when you read about headaches in the context of data science and machine learning, it’s not in a positive context - generally, it involves the painful (so to speak) process of data cleaning

data science, data project, health care | October 08, 2018 | Rebecka Flynn

Build a Predictive Maintenance Engine with GIS Data

If you’re like most people, you enjoy turning on the faucet whenever you want and having water come out. But you’re also aware that every once in a while (hopefully not too much more) no water...

data science, GIS, predictive maintenance | October 03, 2018 | Nicolas Gakrelidz

The Enterprise AI Lab: Not Your Average AI Lab

In 2018, it seemed like a day barely goes by without someone announcing the opening of a new AI lab (MIT, IBM, Alibaba, Baidu, Intel, Google, Facebook - the list goes on). And yes, this is another...

ai, artificial intelligence, announcement | October 02, 2018 | Leo Dreyfus-Schmidt

A Three Month Data Analysis in Excel Could Have Taken Me One Day

This is the story of my literature thesis, which ran data analysis on short stories, and that I worked on to graduate with a B.A. in English this past May. It took me 10 laborious months of...

Education, case study, Data Science Basics | October 01, 2018 | Claire Carroll

Data Projects WILL Fail - Learn to Fail Quickly & Efficiently

In case you haven’t heard, a whopping 85% of big data projects fail (we’ve already talked about why). But data science is an inherently risky endeavor, so the challenge today is not how to avoid...

operationalization, data project, return on investment | September 21, 2018 | Claire Carroll

Dataiku: “Multimodal Force Majeure” Among Predictive Analytics & ML Platforms

On the heels of the release of Dataiku 5.0, we’re delighted to share yet another exciting development: Dataiku has been named a strong performer in The Forrester Wave™: Multimodal Predictive...

Product, Corporate, machine learning | September 18, 2018 | Lynn Heidmann

Dataiku 5.0: Enterprise AI Within Reach

Big news: Dataiku 5.0 is here, and it has a fresh new look and feel. But it's not just cosmetics - the latest release introduces a suite of powerful features to help organizations take the plunge...

operationalization, News, Product | September 12, 2018 | Pauline Brown

Welcome to Dataiku University!

It's almost back to school and we got you covered with our new free online data science course.

Data Science Basics, announcement, Education, webinar | September 07, 2018 | Alivia Smith

Streamlining Production with Predictive Maintenance and Essilor

In any capital-dependent industry, be it manufacturing, fleet management, or heavy machinery, the biggest headaches come when things stop working. With predictive maintenance, it’s possible to...

predictive maintenance, business, manufacturing | September 04, 2018 | Robert Jett

The Data Science Roadshow is ON!

The Dataiku Data Science Roadshow is on - 17 cities, 12 countries, and countless data scientists and pizzas. This September, we decided to take our successful meetup series (traditionally held in...

Meetup, Events, data science | September 03, 2018 | Romain Doutriaux

A Deep (But Jargon and Math Free) Dive Into Deep Learning

Deep learning has been around for a while, so why has it just become a buzz topic in the last 5 years? Well, deep learning returned to the headlines in 2016 when Google’s AlphaGo program crushed...

deep learning, machine learning, Infographic | August 31, 2018 | Megan Fang

Fake News and Filter Bubbles

Recommendation engines are being used to give your favorite websites the ability to predict what information you would most like to see. While this is an incredible tool for driving traffic to...

News, recommendation, trends | August 21, 2018 | Robert Jett

The Question of AI & Ethics

It’s the dystopian backdrop to every science fiction novel involving artificial intelligence: a dark and stormy police state in which cold, unfeeling robots patrol for nonconforming humans. While...

ai, ethics, trends | August 15, 2018 | Robert Jett

AI Meets Mail Processing (Automation for Admin Tasks)

Even as we continue to reach new technological milestones and solve the world's most demanding problems, many companies are still confronted with the oldest of administrative nightmares: piles and...

machine learning, computer vision, deep learning | August 09, 2018 | Robert Jett

The Hidden Costs of Data Silos

Today, being data driven means doing machine learning (ML) and artificial intelligence (AI) at a more macro level. But it also means empowering all employees at all levels of the company to use...

data science, Data Engineering, IT | August 07, 2018 | Pauline Brown

Tips & Tricks for Starting Your First Data Project

Taking on a first data project is no easy task - it's not clear where to begin, and of course, there are lots of bumps along the way. Here are some tips and tricks that we learned while embarking...

machine learning, data science, business | August 01, 2018 | Megan Fang and Robert Jett
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