Data Scientists

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Sound Familiar?


Dirty Data

Survey Results

Dirty data is the most common problem for workers in the Data Science realm.

Kaggle
Kaggle Survey
16,000+ Data Scientists
Forbes

76% of data scientists view data preparation as the least enjoyable part of their work

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Gil Press
@GilPress

Data Science Report

60% of Data scientists say they simply spent too much time data wrangling.

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Crowd Flower
80+ Data Scientists
New York Times

Data scientists spend 80% of their time on preparing and managing data for analysis.

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Steve Lohr
@SteveLohr
Survey Visualization

Skilled Labor

The quanitity of the world's available data doubles every 4 years. Simultaniously, the performance of Artificial Intelligence algorythms is growing exponentially. As a result, there are 4x more positions for Data Scientists than qualified applicants to fill them. Assuming Moore's law continues to hold this trend will continue to acceletate. With the projected market value of Artificial Intelligence based applications set to $60 billion in 2025 & 1 trillion by 2030, the ability to hire and enable skilled Data Scientists is becoming more and more difficult, just as it becomes more and more important. Today, 43% of firms rank lack of analytical skills as a top 3 challenge.

Skilled Labor Shortage

Knowledge Gap

Survey Results

43% of firms rank lack of analytical skills as a top 3 challenge

Survey Results

At least a 50% chance that AI is better than humans at more or less everything in 45 years.

MIT Logo
MIT Tech Review
May 31, 2017

McKinsey Report

Only 20% of AI-aware firms say they're adopters, with 41% unsure about the benefits.


New York Times

2017 [is] the year when businesses gain direct access to powerful customer insight via new cognitive interfaces and other AI-related tech, stealing $1.2 trillion per annum from their less-informed peers by 2020.

Survey Visualization

Collaboration

Most data scientists, and data science teams, have problematic practices for collaboration. The current default workflows have grown organically and are extremely inefficient. Without proper tooling, solving these issues inhouse is time consuming and labor intensive; however, improved collaboration workflows yield large gains in productivity and reduces painful frictions. There’s a single principle you should be aiming for: make everything you do easily reproducible, both for yourself and others.

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AI Safety

Data Science Report

The development of full artificial intelligence could spell the end of the human race.

Elon Musk

AI will be the best or worst thing ever for humanity. With AI, we're sumoning the deamon.

Data Science Report

AI Saftey is the most important conversation of our time!

Think of the crazy technologies humans could develop in the fullness of time: cures for aging, space colonization, uploading of minds into computers. AI could develop these quite rapidly.

Survey Visualization