The Dataiku Blog

Lynn Heidmann

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Recent Posts

Let Automation Carry You from BI to AI in 2019

By now it’s clear that businesses that execute on artificial intelligence (AI) successfully are the ones that will move from doing one-off analysis, and even one-off models, to being able to...

organization, automation, ai | December 11, 2018 | Lynn Heidmann

Why Machine Learning Interpretability Matters

Even though machine learning (ML) has been around for decades, it seems that in the last year, much of the news (notably in mainstream media) surrounding it has turned to interpretability -...

machine learning, interpretability, data science | December 04, 2018 | Lynn Heidmann

The Future of AI is the Enterprise

In early November, Dataiku CEO Florian Douetteau was a guest on BrightTALK’s Ask the Expert series, discussing The Future of Artificial Intelligence, including where exactly we are now and what’s...

artificial intelligence, EnterpriseAI, organization | November 30, 2018 | Lynn Heidmann

You Can’t Do AI Without Augmented Analytics and AutoML

By now, the race to AI - and especially to using AI in the enterprise - is officially on. But if AutoML is not in your toolbox or if you’re not at least thinking about aligning the data...

autoML, organization, scale | November 26, 2018 | Lynn Heidmann

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

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

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

5 Lingering Questions in 2018 + 5 Budding Trends to Watch for 2019

We’re now officially halfway to 2019 (or 2018 is half over, if you’re a glass-half-empty type), and this year was supposed to be the one where all kinds of companies made revolutionary strides in...

organization, ai, data science | June 20, 2018 | Lynn Heidmann

Dataiku 4.3: Bringing Easy Model Operationalization to the Enterprise

Large enterprises today who are working to scale up their efforts in data science and machine learning to move closer toward the path of enterprise artificial intelligence (AI) generally hit one...

announcement, Corporate, release, Product | June 04, 2018 | Lynn Heidmann

Want to Be a Data-Powered Organization? Start With These 3 Steps.

Throughout 2018, we’ve chosen to feature a specific theme each month surrounding data science, machine learning, and artificial intelligence (AI). In June, we want to talk about becoming a...

organization, trends, management | June 01, 2018 | Lynn Heidmann

Top 3 Focus Areas for CDOs in 2018

There’s a data revolution coming alive at enterprises worldwide with everyone talking about - and racing toward - advances in machine learning, predictive analytics, and artificial intelligence....

organization, business, CDO | May 16, 2018 | Lynn Heidmann

Telecos Have Tons of Data ... but Not Tons of Data Value

Data analysis is already a big part of the telecommunications industry, and yet still, experts estimate that most companies have not yet seriously leveraged the data at their disposal to increase...

data science, ai, telecommunications | May 09, 2018 | Lynn Heidmann

The Key to Getting Value from IoT? Organizational Change.

Thus far, most of the buzz surrounding the Internet of Things (IoT) movement has been one of niche (and often kooky) smart products. At least in the media, the industrial side - being used in...

data science, machine learning, iot | May 04, 2018 | Lynn Heidmann

ML & AI in the Pharmaceutical Industry: Where the Biggest Gains Lie

After a century of rapid progress in the development of new medications, the discovery of new drugs has slowed significantly, and the process of developing new pharmaceuticals has become more and...

data science, machine learning, pharmaceutical | April 25, 2018 | Lynn Heidmann

How to Calculate ROI for Your Investment in Data

When it comes to calculating return on investment (ROI), it always seems to be easier said than done - especially so when it comes to measuring ROI for data initiatives. Businesses invest in data...

business, organization, roi | April 18, 2018 | Lynn Heidmann

Marketing Attribution - There's a Better Way!

Bad news: if you’re relying on heuristic marketing attribution models to measure the effectiveness of your campaigns (which many people do), they probably are not very accurate. This is assuming...

data science, marketing, marketing attribution | April 12, 2018 | Lynn Heidmann

Content Analytics at Spotify: Hear the Talk from EGG2017

Content data and analytics in the context of music, media, and entertainment is driving a new wave of strategic thinking, shifting the focus from the product to the content delivered. Watch Daniel...

organization, scale, data science | April 11, 2018 | Lynn Heidmann

ezGDPR: Compliance Made Simple With the Latest from Dataiku

Hot on the heels of the Dataiku version 4.2 announcement, and with plenty of time before the EU General Data Protection Regulation (GDPR) implementation deadline of May 25, 2018, we’re proud to...

April Fool Joke, data governance, Data Engineering | April 01, 2018 | Lynn Heidmann

Scaling Data Science at Pfizer: Chris Kakkanatt, EGG Guest Speaker

One of the biggest challenges large enterprises face today is how to scale data science efforts such that the business actually gets an exponential amount of value from the exponential quantity of...

organization, scale, data science | March 20, 2018 | Lynn Heidmann

The BI to AI Shift Has Happened: How to Catch Up (+ Why it Matters)

It’s something that’s been happening slowly over time, yet also (somehow) conversation around it seemed to change suddenly overnight: business intelligence (BI), which was once the sign of a...

artificial intelligence, business intelligence, data science | March 09, 2018 | Lynn Heidmann
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