The Dataiku Blog

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...

business, predictive maintenance, 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...

data science, Events, Meetup | 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...

machine learning, Infographic, deep learning | 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...

recommendation, News, 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...

trends, ai, ethics | 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, deep learning, computer vision | 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...

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

Quantum Computing: Cats, Crushes, and Chemistry

According to a report by the Semiconductor Industry Association, we will run out of electricity to power computers by 2040 if we don’t radically improve computing efficiency. This is one of the...

machine learning, deep learning, quantum computing | July 30, 2018 | Megan Fang

First Data Project? Go Tandem! (AVISIA at Play)

If you were going skydiving for the first time, you’d definitely want to go tandem and be attached to an experienced instructor to make sure things go right. And for data projects, while the risk...

organization, data science, partnerships | July 27, 2018 | Anaïs Kassapian

Year 3 of Data, Beer, & Inspiration

Two years ago, we hosted our first Meetup in NYC. Our goal? Community. We’re still at it today, and our data community is growing stronger than ever. But as it grows, we want to know more about...

Corporate, Meetup, community | July 23, 2018 | Anna Alonso

Why AI Isn’t A Black Box (And Its Business Value)

Artificial intelligence (AI) is a powerful and growing field, but some are still hesitant to employ it, seeing it as a black box. However, if you take a second to step outside the box (see what we...

data science, ai, black box | July 17, 2018 | Megan Fang

I Can’t Afford to Hire a Data Scientist. Now What?

By now, it’s no secret that Harvard University named Data Scientist the sexiest job of the 21st century. Yet unfortunately, not every company can afford to hire one of these little superheros -...

data science, Academic, ngo | July 11, 2018 | Eva Neuner

Top-Down vs. Bottom-Up Approaches to Data Science

Data projects are generally organized in one of two ways: top-down (that is, starting with the business question) or bottom-up (starting with the data and working up to insights). But is there a...

data science, strategy, operationalization | July 10, 2018 | Alex Reutter

From the Sidewalk to the Saddle: Data and the Tour de France

As the third largest sporting event, it’s no wonder that the Tour de France (which kicks off July 7th) has engaged in the data revolution. The goal is to offer real-time insights to the estimated...

predictive analytics, sports analytics, iot | July 06, 2018 | Lisa Bardet

Data Science at Scale: Six Major Trends

Last week, Dataiku hosted an EGG-citing day of presentations and panel discussions from industry leaders and experts. The insights they provided tell us a lot about the current state of data...

data science, scale, egg | July 05, 2018 | Robert Jett

Boost Computation Power and Speed with Snowflake

Make them feel special-- this is key in marketing, business, and dating.  

It’s no different in the tech world. Companies want products with more functionality and customizability,  and a plugin...

machine learning, cloud computing, databases | July 02, 2018 | Megan Fang
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