The Dataiku Blog

Lynn Heidmann

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Recent Posts

5 Tips from GE Aviation for Starting a Self-Service Data Initiative

GE Aviation went from data silos to self-service data in just a few years, and now they have more than 1,800 users empowered to use data in their day-to-day work. Here are their top five tips for...

organization, self-service analytics, change management | June 12, 2019 | Lynn Heidmann

Practical Deep Learning

If this month’s Google I/O conference is any indication, then incorporating machine learning (and deep learning) into existing products and processes to make them more efficient or useful is the...

data science, deep learning, Education | May 21, 2019 | Lynn Heidmann

How to Create a Data Team

Hype around AI means that more and more, businesses are dedicating huge sums of money to assembling large data teams and setting them loose, hoping they produce results on their own. Often, they...

organization, Data Strategy, Enterprise Ai | May 17, 2019 | Lynn Heidmann

How AI Will Change Marketing (and Marketers)

It's no secret that introducing data science, machine learning, automation, and (eventually) AI into the world of marketing will be a critical factor to success. Yet it also means a fair bit of...

marketing, segmentation, business | May 13, 2019 | Lynn Heidmann

How Will Machine Learning and AI Change My Organization?

Whether businesses have a specific aversion to change or they simply find change too difficult to manage, the bottom line is that it holds companies back. Yet in the age of machine learning and...

organization, artificial intelligence, change management | May 09, 2019 | Lynn Heidmann

Data Scientist vs. Data Analyst - What’s the Difference?

Whether you’re a student deciding on a career path, a data analyst looking for a change, or a business owner looking to hire data talent, the question of data scientist vs. data analyst (or...

organization, data science, Data analysis | May 03, 2019 | Lynn Heidmann

When Good Data Team Hiring & Open Source Aren’t Enough

Smart hiring (and retention) of data scientists combined with the power of open source can get companies started in their machine learning (ML) efforts. But the path to Enterprise AI means...

data governance, Open Source, Enterprise Ai | April 23, 2019 | Lynn Heidmann

Making Sense of Startup Ecosystem Data

When it comes to data on startups, Startup Genome is the gold standard - their yearly report on the startup ecosystem is well-respected (not to mention well-cited). But how are they able to find...

start-up, case study, data project | April 11, 2019 | Lynn Heidmann

GE Aviation: From Data Silos to Self-Service

Despite the hype of machine learning and AI, not many businesses today have actually managed to bring transformational change through data - GE Aviation is an exception. Since March 2017, the GE...

self-service analytics, Data Revolution, Innovation | April 09, 2019 | Lynn Heidmann

Planning & Forecasting in the Age of AI

Forecasting and planning are some of the very oldest use cases of modern statistics - businesses as far back as the 1950s used computer-based modeling to anticipate risks and make decisions. But...

data science, supply chain, forecasting | April 05, 2019 | Lynn Heidmann

AI Isn't Just for the Big Players: Why SMBs Need It Too

According to Forbes, as of 2018, only 11 percent of small and medium businesses (SMBs) use AI, and 41 percent feel that it’s too complex for their needs. But AI and machine learning don't need to...

strategy, SMB, Enterprise Ai | April 02, 2019 | Lynn Heidmann

Executing Data Projects in the Age of Data Privacy

With some industry experts naming 2019 as the year of increased data regulation, it’s certainly true that at this point, there is no looking back - the use of data across roles and industry will...

data governance, gdpr, data project | March 26, 2019 | Lynn Heidmann

Addressing Fraud with Machine Learning: How & Why

For the financial services industry (as well as many others that deal with data security and other types of non-monetary fraud), anomaly detection is hands down the most important system in...

anomaly detection, case study, financial services | March 13, 2019 | Lynn Heidmann

PwC: On GDPR and the Future of Data Privacy Regulations

The effects of the European Union’s General Data Protection Regulation (GDPR) swept across the globe last year as the enforcement deadline came and went in May 2018. But GDPR is really just the...

organization, data privacy, data regulations | March 11, 2019 | Lynn Heidmann

Do More Machine Learning & AI (Without More Data Scientists)

Let’s face it - almost no business today can afford to hire the amount of data scientists it would take to go from producing one machine learning model to 1,000 (or for that matter, 1 million)...

organization, data science, scale | March 01, 2019 | Lynn Heidmann

The Path to Enterprise AI in APAC

Every business has a different path to Enterprise AI that’s necessarily affected by its industry, history, infrastructure, competitive environment, clientele, and more. That means that from region...

Corporate, announcement, APAC | February 24, 2019 | Lynn Heidmann

A Peek into the Regulatory Future of AI?

Whether you realized it or not, Data Privacy Day 2019 (yes, it exists!) has already come and gone. But this year, it was perhaps more significant than most not only because topics of bias,...

ethics, EnterpriseAI, interpretability | February 12, 2019 | Lynn Heidmann

Dataiku Named Challenger in Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms

Closely following December’s Series C funding announcement, we’re pleased to share that Dataiku has been named a Challenger in the Gartner 2019 Magic Quadrant for Data Science and Machine Learning...

News, Corporate, announcement | January 30, 2019 | Lynn Heidmann

4 Trends for AI in the Enterprise in 2019 [QUIZ + INFOGRAPHIC]

In 2018, the world saw the rise of automated machine learning, deep learning, and - best of all - real-life applications of these technologies, all of which have started to pave the path to...

trends, EnterpriseAI, 2019 | January 11, 2019 | Lynn Heidmann

Top 8 Use Cases for Machine Learning & AI in Marketing

According to a 2018 study by MemSQL, more than 60 percent of marketers say artificial intelligence (AI) is the most important aspect of their data strategy. But naming AI as a key strategy and...

marketing, Infographic, ai | January 09, 2019 | Lynn Heidmann
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