The Dataiku Blog

Bringing AI Skills to the Classroom

Just in time for the new school year, Dataiku’s latest academic partnership with Teradata University Network (TUN) is set to bring AI tools and skills to the classroom. The program empowers...

Academic | August 29, 2019 | Lynn Heidmann

AI Maturity Survey: Where Are We in the Path to Enterprise AI?

With all the media hype and coverage around AI, one might think that every company out there has Enterprise AI all figured out and is extremely mature in their data journey. However, we surveyed...

ai, Data Strategy, Data Transformation | August 28, 2019 | Lynn Heidmann

Top 6 Mistakes to Avoid When Running a Data Science POC

A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what...

data science, POC, proof of concept | August 28, 2019 | Julien Moreschetti

Building a Facial Recognition Robot in Less Than 2 Weeks

I’m Jacob, a 15-year-old computer science enthusiast who has just reached the end of a two-week internship at Dataiku, where I was tasked with creating a program that can recognize the faces of...

machine learning, data project, Facial Recognition | August 27, 2019 | Jacob Padley

Building a Data Pipeline to Clean Dirty Data

A data pipeline is a series of steps that your data moves through. The output of one step in the process becomes the input of the next. Data (typically raw data) goes in one side, goes through a...

Data Preparation, Technology, Data analysis | August 23, 2019 | Lynn Heidmann

Unicorns or Data Architects?

Data architects have a tendency to feel like unicorns: somehow they can manipulate data storage and computation structures like putty and also keep business objectives in mind.

business, Team, data architecture, communication | August 20, 2019 | Claire Carroll

AI vs. Machine Learning vs. Deep Learning

Talking about AI is increasingly complex because it’s often used alongside (or even interchangeably with) the terms machine learning (ML) and deep learning (DL). Why do people use these terms...

machine learning, deep learning, artificial intelligence | August 19, 2019 | Lynn Heidmann

The Inside Scoop on Upcoming Documentary "Data Science Pioneers"

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...

Data Science Basics, community, Open Source | August 14, 2019 | Claire Carroll

Hadoop Security Basics (In Under 5 Minutes)

Between growing data and analytics teams, more collaborative projects, and GDPR, security and governance are becoming bigger issues. As organizations' analytical maturity improves, it's...

Hadoop, Technology, Data Engineering, data architecture | August 09, 2019 | Claire Carroll

Tutorial: Complete a Kaggle Data Science Competition Fast

At Dataiku, every new member of the team, either marketer or superstar data scientist, learns the Dataiku platform with the Titanic Kaggle Competition. It's such a milestone in the company that...

data science, machine learning, tutorial | August 07, 2019 | Alivia Smith

Data Architecture Crash Course: Key Terms

Not sure what Hadoop actually is? A little fuzzy on what the difference is between cloud and on-prem storage? We’ve set out to demystify the jargon surrounding data architecture to enable every...

Hadoop, Enterprise Ai, Data Transformation, data architecture | August 01, 2019 | Claire Carroll

AI in Banking: An Inside Look

We released a white paper in mid-July about the challenges, solutions, and steps to get started with AI in banking, an industry that (like many others) has a lot of the essential ingredients...

banking, artificial intelligence, operationalization | July 29, 2019 | Lynn Heidmann

Churn Prediction or How AI Will Become Your Marketing Team's Best Friend

To compete and stay relevant in a rapidly changing world, businesses need to embrace the idea of using data and AI for their marketing activities. This also means a changing dynamic in the...

data science, business, churn | July 19, 2019 | Hugo Le Squeren

Too Big for Excel? An Alternative for Analysis

Big data. The term means many things to many people. The best definition I've heard is data that won't fit on your laptop. With 1 terabyte hard drives available by "fit" I mean it's too big to...

Data Preparation, big data, data science, Technology, data | July 18, 2019 | Claire Carroll

Why Data Visualization and Dashboards Matter

Data teams spend a majority of their time cleaning and wrangling data in order to extract valuable business insights. The numbers should speak for themselves, so oftentimes data visualization and...

Data Visualization, Team, business intelligence | July 17, 2019 | Alivia Smith

How AI is Transforming Banks & Banking

Data has always been the foundation of the banking industry. What has changed in recent years, of course, is the amount of data available and the speed at which it is processed as well as the need...

EnterpriseAI, financial services, Data Transformation | July 15, 2019 | Lynn Heidmann

Detecting Medicare Fraud

We already studied Medicare data using Dataiku in this video. This time, instead of looking at the impact of payments on the physician prescriptions, we will have a look at the possibility of...

healthcare, compliance, fraud | July 12, 2019 | Pierre Gutierrez
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