The Dataiku Blog

Lynn Heidmann

Find me on:

Recent Posts

Dataiku Named a “Visionary” for 2nd Consecutive Year in Gartner Magic Quadrant for Data Science and Machine-Learning Platforms

Gartner has released its 2018 Magic Quadrant for Data Science and Machine-Learning Platforms, and we’re excited to have been named a “Visionary” for the second consecutive year! 

Corporate, announcement, dataiku | February 23, 2018 | Lynn Heidmann

Bringing Enterprise AI Into Focus

It’s been nearly six months since our last update on what’s been going here at Dataiku (time flies!). Since our Series B announcement, we’ve been busy not only serving the larger data community as...

Corporate, announcement, dataiku | February 14, 2018 | Lynn Heidmann

From Inception to End-Consumer, AI Poised to Change Automotive

When most people think artificial intelligence (AI) and automotive, they think of connected cars and the potential they have to change our world as consumers. But the opportunities for advanced...

data science, artificial intelligence, automotive | February 09, 2018 | Lynn Heidmann

Let’s Talk Real Weather Prediction on Groundhog Day

Since circa 1887, our friend Punxsutawney Phil has been gracing us with his presence on February 2. Luckily for us, the Washington Post already a cool analysis in 2015 and Jeremy Neiman did...

Data Visualization, data science, deep learning | February 02, 2018 | Lynn Heidmann

A Beer Recommendation Engine Project for Your Super Bowl Sunday

The Super Bowl is upon us again, and that means excitement about, in order of importance: advertisements, beer, Justin Timberlake, snacks as a meal, and football. Since ads have already been leaked

data science, recommendation systems, deep learning | February 01, 2018 | Lynn Heidmann

Public Sector, Nonprofits Have Lots to Gain with ML & AI

When it comes to machine learning (ML) and artificial intelligence (AI) opportunity, many people immediately think of sleek Silicon Valley companies inventing the latest gadgets that will,...

data science, machine learning, case study | January 31, 2018 | Lynn Heidmann

Why Anomaly Detection Matters to (Almost) Everyone

Across industries, technologies, and use cases worldwide, there is perhaps no other data science strategy more important to understand and to leverage than anomaly detection. While useful across...

data science, machine learning, anomaly detection | January 18, 2018 | Lynn Heidmann

Everything You Wanted to Know About Dataiku Tech & Implementation (But Were Afraid to Ask)

Got questions about implementing Dataiku or the technology behind it? Clément Stenac, co-founder and CTO here at Dataiku, has answers.

Interview, Corporate, dataiku | January 09, 2018 | Lynn Heidmann

Data Prep, Tools, and Teams: What it Takes to Create Data Value

Today’s companies don’t have a data problem - they have a data value problem. We talked about this a lot in 2017 (here’s just one example), but alas, it’s still a major challenge that many...

organization, business, collaboration | January 05, 2018 | Lynn Heidmann

Data Resolutions for a New Year

With the holiday jams blasting, eggnog a-flowin’, and twinkly lights abound, it’s hard not to get into the spirit of the season. All the excitement has us a bit nostalgic, looking back on the year...

organization, business, new year's | December 14, 2017 | Lynn Heidmann

Top 4 Data Science Trends to Watch in 2018

As 2017 comes to a close, it’s time to look forward at what’s ahead in the wide world of data science. While last year was the year that the idea of deep learning really began to make its way into...

data science, deep learning, trends | December 07, 2017 | Lynn Heidmann

Black Friday Is Not Dead, but Retailers Might Want it to Be

As we launch into the holiday season, publications - Forbes, Business Insider, The Washington Post, just to name a few- are rife with claims that Black Friday is dead. While this claim is...

data science, machine learning, recommendation systems | November 21, 2017 | Lynn Heidmann

Small Step for Piccadilly Circus, Giant Leap for AI and Advertising

Today, Piccadilly Circus in London is alight once again, now equipped with so-called “super billboards,” bringing the advances of machine learning (ML) and artificial intelligence (AI) in...

business, machine learning, media | October 26, 2017 | Lynn Heidmann

Equifax: Wishing for GDPR, Now, Everywhere

For anyone affected by the Equifax data breach (which is to say most adult Americans), it’s been a long 10-ish days of following the latest news, waiting on customer service hold, website errors, ...

organization, business, data governance | September 20, 2017 | Lynn Heidmann

Some Recommendations on Recommendation Engines

Today, recommendation engines are ubiquitous. While some are easy to spot, featured in a nice neat “Recommended for You” section, so many more lurk behind the scenes. In fact, it’s entirely likely...

data science, machine learning, recommendation systems | September 18, 2017 | Lynn Heidmann

Dataiku Series B: Data Science for Everyone

Since the very beginning, part of the Dataiku mission has been to bring together the data community both within our product and out in the world. Today, we’re proud to announce a $28M Series B...

Corporate, business, announcement | September 06, 2017 | Lynn Heidmann

Big Data: Health Care’s Knight in Shining Armor?

For years, people have been talking about big data’s potential to change health care, particularly in the United States. But with days growing shorter again, the end of the year looms closer, and...

organization, healthcare, business | August 10, 2017 | Lynn Heidmann

How to Choose Your First Data Project - 5 Considerations

You’ve heard about systems of intelligence, your're collecting lots of data, and you’re ready to start getting value from it. You’re well versed in the seven steps to complete a data project. The...

organization, business, collaboration | August 03, 2017 | Lynn Heidmann

Systems of Intelligence: A Strategic New Line of Defense for the Enterprise

Enterprises today collect more data than ever before, yet several studies and analysts (here’s just one example) since the advent and proliferation of big data have shown that businesses aren’t...

organization, business, strategy | July 25, 2017 | Lynn Heidmann

Q&A with Dataiku CEO Florian Douetteau on Data Governance and Machine Learning

When it comes to being a data-driven company, it's usually not the data itself that's a problem - most enterprises have a wealth of it available. Instead, it's organization and being able to pull...

marketing, business, collaboration | July 10, 2017 | Lynn Heidmann
Page 1 of 2