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Over the past few months, as I have spoken with Qlik customers, I have been amazed by the clever solutions that have been proposed to sticky business problems. I have seen an app that steers trucks away from inclement weather and another that identifies pre-diabetic patients to trigger alternative care management. These apps deliver profound value to the organizations that developed them, and, usually, they dramatically drive down cost.

H2O Driverless AI is an artificial intelligence platform for automatic machine learning. Here’s how to deploy to Promote!

Is AI taking over our jobs? Will AI replace the need for humans? No. Think of the rise of AI as a way of enhancing us, not replacing us. Colin Priest, VP of AI Strategy at DataRobot, explains when to use AI to complete a task and when to turn to a human.

This article is by Kevin Hanegan and originally appeared on the Qlik Blog here: https://blog.qlik.com/do-you-have-what-it-takes-to-make-data-informed-decisions

Organizations need both a process and the skills to make data-informed decisions.

This article is by Heather Harris and originally appeared on the Alteryx Nation Blog here: https://community.alteryx.com/t5/Alter-Nation-Blog/Use-Your-Alteryx-Badassery-to-Grow-Your-Career-and-Brand/ba-p/505382

When we searched for job postings worldwide that mention “Alteryx” in the job posting.

This article is by James Lawson and originally appeared on the DataRobot Blog here: https://blog.datarobot.com/ai-experience-roadshow-europe-2019-highlights-from-stockholm-paris-and-madrid

Following the success of AI Experience London earlier in the year and in response to customer demand, we decided to extend the roadshow to other European cities.

This article is by Carole Gunst and originally appeared on the Qlik Blog here: https://blog.qlik.com/save-the-children-moves-real-time-data-to-azure-data-lake-with-attunity

When the IT Business Solutions Group at Save the Children need to move their data from disparate CRM and ERP systems to Azure Data Lake Storage (ADLS), they used Attunity solutions.

This article is by Timothy Lam and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Expand-Your-Predictive-Palette-III-I-Sales-Forecast-with-Prophet/ba-p/504651

At a high-level, forecasting techniques can be broken down into three main categories:

Historical Average with Sliding Windows

Examples: Seasonal Decomposition, Exponential Smoothing (ETS)
Pros: Simplicity: any tool can integrate like Excel & Tableau;
Cons: Laggardly reaction to changes & overly responsive with outliers, only works with simple structure

Linear Models

Examples: ARIMA, VAR(Good for multiple time series)
Pros: Works with consistent variation, such as established seasonality trends
Cons: Proper assumption on stationarity and homoscedasticity (statistics term for consistent variance/error). Careful predictor selection to prevent multicollinearity (statistics term when predictors are linearly correlated).

Non-Linear Models

Examples: Prophet, GARCH (generalized autoregressive conditional heteroskedasticity), Deep Learning
Pros: Discovering non-linear relationship & data drift in your data.

This article is by Gareth Goh and originally appeared on the DataRobot Blog here: https://blog.datarobot.com/ai-experience-london-sky-uk

If you missed out on AI Experience London 2019 this year, we had an impressive lineup of customer speakers discussing their unique AI use cases.

This article is by Ian Wi and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Observations-on-the-Citizen-Data-Scientist/ba-p/472029

Citizen Data Scientist is currently a very popular term in the analytics community.