Lynn Heidmann

Avid writer and reader, personally and professionally. Lover of data, efficiency, adventure, puppies, pizza, and outer space.

[Dataiku @dataiku]

We surveyed more than 50 Chief Data Officers cross-industry and worldwide. They provided insight into the problems they face and how to #overcome them and drive the #DataRevolution. Grab your copy of the free report #datascience #execs | https://t.co/v0XQfpeRmd

[Lynn Heidmann @lynnheidi]

"How do you get started? You need to find a need ... What is driving certain failures, and what are you going to do about it? Collect the data, try it out, and when you try something, see if you can actually predict something." Mihaela Nistor, Bloomberg @business #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"If you want to do machine learning at scale, you really have to start thinking about platforms and frameworks for how you monitor your models, how you deploy models - it can’t be a manual process every time you do it." Steve Touw @Immuta #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"It’s important for us to automate each part of the [data science process] cycle so that we can automate and then focus on creating new use cases. It’s about creating quick wins which then turn into bigger projects." Julio Farfan, @viajaVolaris #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

Somesh Saxena @GEAviation: assigned to the speaker session before lunch at #EGGstaticNYC18. Gives such a stellar presentation that he goes over time answering questions, and everyone stays to watch instead of leaving for lunch 🙌

[Lynn Heidmann @lynnheidi]

“Over the past year, we’ve had over 90 executives at GE go through our [self-service analytics] training + over 1,000 data analysts. We have over 2,300 data projects in development, and we’re seeing the business benefits from that.” Somesh Saxena @GEAviation #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"The #1 thing I look for in hiring a data scientist and in a coworker is the ability to learn new skills. Does this person want to learn new stuff? When they encounter something they don’t want to do, do they get discouraged, or excited?" Kenny Ning @betterdotcom #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"We expect all of our employees @UBS to be data literate - just like you’d expect employees to be able to use Excel or Word, we expect them to be able to understand data." -Nicolas Bignell, @UBS Investment Bank #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

“We’re giving [data analysis] directly to physicians to potentially modify their behavior. We’re also doing member steerage - steering them toward a lower-cost, higher-quality physician. And we’re also using this to build products.” Michael Xiao, BCBS #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

AI - not AI in action at a packed house at #EGGstaticNYC18 #ai #MachineLearning

[Lynn Heidmann @lynnheidi]

"Our data scientists - they want data. It’s like the movie little shop of horrors - FEED ME. They want a lot of data all the time. so having a person who has this institutional knowledge - where the data is, what format it’s in - accelerates the delivery time." #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"You must plan how you’re going to use it once you get the insight - it’s not an afterthought." - Ashok Kumar of @GoAvisBudget #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"Sometimes you can get a good insight, but to implement it would require you to change your entire operational process. So do you want to go down that road? Come up with an insight that you can’t actually put into action?" - Ashok Kumar of @GoAvisBudget #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

AI / not AI to start the day - what a way to kick off #EGGstaticNYC18 🙌🏻

[Lynn Heidmann @lynnheidi]

"A data scientist must focus on business problems first." #datascience #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"In my experience, culture and compliance requirements will drive your choice [of data science organization]." Ashok Kumar, @GoAvisBudget #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

One lesson we’ve learned is that people tend to create their own silos of governance, there’s duplication. So the next stage in the journey is - what am I going to do next? Should the data science organization be centralized? - Ashok Kumar, @GoAvisBudget #EGGstaticNYC18

[Lynn Heidmann @lynnheidi]

"Frankly right now we’re at the forefront of technology disruption… so we’re trying to figure out what our business model will be years down the road, trying to use analytics capabilities to provide a better user experiences." - Ashok Kumar from @GoAvisBudget #EGGstaticNYC18

[Dataiku @dataiku]

We're ranked #1 company to work for in 2018 in the field of data science & analytics! 🎉See rankings:
https://t.co/Jzew1hGnDY & join the adventure: https://t.co/uezCXxgFWA

[Dataiku @dataiku]

We're nominated in @kdnuggets's 2018 poll as one of the most popular softwares used for #analytics, #DataMining, #DataScience, & #MachineLearning projects.
Vote for us ➡️https://t.co/q4tW5xUgAf