Alteryx

I've used the machine learning features. Easy startup process, and definitely nice to be able to blend and prep the data before hand. Would be nice to have more ML models to compete with autogluon... but SO much simpler to use.

My job doesn't require to use these capabilities that much. I'm not a developer and I can't write codes (R or Python) at the moment. However with Alteryx Intelligence Suite and or predictive tools help me analyze data science type analysis.

We use the natural language processing and sentiment analysis and it covers what we need. We are currently investigating more use cases as we know there is a lot more there that we can utilise

We have utalised the data mining and data science capabilities to support product review sentiment analysis.

Our team mostly uses Data analytics features of Alteryx and not advanced data science or ML features.

We are not using the advanced features at this moment, but we are keeping track of developments and upgrading our skills to embrace them for future business requirements.

We built with one of my customers, an NBFI, a cheque risk scoring algorithm (using Random forest and XGboosting algos) with high ROI, which earned IDC award in corporate banking. A good econometric forecasting model saved a Retail clients huge benefits like low inventories, better pricing, less out of stock... Scheduling capabilities coupled with predictive model resulted in self-learning pipelines from fresh dataset which is important for many companies today...

Unfortunately, did not yet make any experiences using machine learning and AI (Artificial Inteligence) in combination with Alteryx. There might be more to come this year asd we are getting started with such tools.

I wish I had time and use cases to use them and play but I haven't. I can say at the user conference in 2023 there was a lot of information and examples of how those were being used. I'm really mired in getting data into tax return forms most of every month but maybe someday I'll get to try some more exciting things. :)

I have used Altery'x data science, machine learning, and NLP features and find them helpful in advanced analysis settings. With that said, most settings for which I use Alteryx don't require advanced analytics or modeling. And with that said, I sometimes run advanced analytics just to see if I can get quick ideas from the data, and Alteryx is great in such a scenario.

We have utilized the Predictive tools that you can download to enhance the data science capabilities of Designer.
We have also used Intelligence Suite, which allows auto-ML. It also has text analysis tools that have supported sentiment analysis.
Overall, the analytical capabilities allow us to upskill our financial analysts, enhancing their ability to perform statistical and data science related projects.

I have not used these features.

Many in my organization have used their features, however I do not have much experience with them.

I have used the machine learning features very little. In a head to head kaggle competition (with no feature engineering) Alteryx machine learning performed close to AutoGluon in results.

Although I plan on using these features, I have not used them to a level where I feel comfortable commenting on them. I also do not have any experience in using R or Python for those purposes either.

We have used Alteryx ML and LLM to optimize data analysis. when you have thousands of data points that contains numerous words and context its hard to build if statements to capture it. Alteryx enables us to use NLP to capture judgement and analyze it from there to solve business related issues.

Alteryx's data science, machine learning, and natural language processing (NLP) capabilities offer several benefits to organizations. They enable advanced statistical analysis, predictive modeling, automation, and insights from unstructured text data. These features help improve decision-making, optimize processes, and gain valuable insights from data.

We make use of Alteryx Intelligence Suite for PDF reading, scanning, scraping, and text mining. We use Alteryx ML for automated machine learning and we use Alteryx Auto Insights for automatic insight generation. These tools make analytics faster, more robust, and more insightful. By being able to assess datasets for predictive qualities quickly, it allows us to identify where to invest our time (fail fast and focus on the gold).

I have not used these features yet but I am excited to learn!

I have not used these

I haven't leveraged the Machine Learning, or NLP yet. The intelligence suite, and predicitive tools are powerful in Alteryx though.

We use it to demonstrate Alteryx to potential customers.

We have not utilized these features yet.

Unfortunately we didn’t get a chance to explore those capabilities of Alteryx

These features might make sense as future improvements once fully developed and in the same spirit as the rest of the environment. The existing tools do not provide the level of user experience one could expect from a tool like Alteryx. They feel like late "quick and dirty" add-ons to try and mimic trendy functionalities of other specialized solutions. Alteryx if entering this field should concentrate on a few key and canonical machine learning tools, provide the simplest possible user experience (ass the rest of Alteryx does) and make sure outputs are not limited to preset report sheets but also actionable data outputs and learned parameter outputs.