visu.ai

AI driven Data Quality, Risk Auditing & Anomaly Detection platform

[visu.ai @visu_ai]

From John Tukey "Exploratory Data Analysis" . Talking about the 4 color Bic pen. In the 1970s. The pen is still around, and so is EDA

#datascience #statistics #EDA #visualization #tukey #pens #writing #books

[visu.ai @visu_ai]

@hadleywickham @danieljhicks While on the subject, is there a good R plugin for jenkins?

[Francois Dion [email protected] @f_dion]

@nicolaskruchten I'll be looking at it next week. I see a few tests are currently failing, not including extra issues with latest matplotlib

[visu.ai @visu_ai]

Version 4.0 of @visu_ai has been released. Our platform is feature complete for #datascience and #dataaudits and is the last release for 2020.

[visu.ai @visu_ai]

As we are completing version 3.2 of https://t.co/1pq3aM4VSP (now with a centralized customized meta data catalog) we are already hard at work on v4.0 with more ways 2 make sure data, transforms & models are fair, reducing risk & exposure to litigation. #fintech #risk #dataquality

[Francois Dion [email protected] @f_dion]

Excel works, until it doesn't. With scheduled checks, @visu_ai (https://t.co/TNSt47Stdj) would have caught this issue (spelled out, in this case), and many more. Data quality matters. Get in touch to learn more.

#datamanagement #d…https://t.co/kVk5eDmpIt https://t.co/Q8MO3yOgwp

[visu.ai @visu_ai]

Pivot tables in dashboards just got easier

[Plotly @plotlygraphs]

*ICYMI*

Add Excel-like pivot tables to your Dash apps via 𝚍𝚊𝚜𝚑_𝚙𝚒𝚟𝚘𝚝𝚝𝚊𝚋𝚕𝚎

https://t.co/XG418lY19N

[Dion Research LLC @DionResearchLLC]

The Dion Research Blog: The 10 colors of Pi (visualizations for the color impaired ... https://t.co/HorWqWOYuY

[visu.ai @visu_ai]

As we are completing version 3.2 of https://t.co/1pq3aM4VSP (now with a centralized customized meta data catalog) we are already hard at work on v4.0 with more ways 2 make sure data, transforms & models are fair, reducing risk & exposure to litigation. #fintech #risk #dataquality

[visu.ai @visu_ai]

That's why Data Quality is important. https://t.co/1pq3aM4VSP

[Francois Dion [email protected] @f_dion]

“Feature engineering”

[Francois Dion [email protected] @f_dion]

@EricSchles @willkurt Encountered that problem some years back. stability is one of the metrics I track in EDA, in modeling, in pipelines and once deployed, on the incoming data, based on feature and granularity. Implemented in https://t.co/TNSt47Stdj
See other metrics:
https://t.co/5LTCDqu2OS

[Francois Dion [email protected] @f_dion]

And that's not even covering the prediction part, @visu_ai build models for you and you can publish them at the click of a button...
#datascience simplified

[Dion Research LLC @DionResearchLLC]

@sarahcat21 Why not both? @visu_ai is a dashboard, but you can drag and drop notebooks and they become part of the visualizations, reports etc. You can also get clean data back in a @ProjectJupyter notebook or export to an #rstats session.

[visu.ai @visu_ai]

@f_dion @DionResearchLLC From spreadsheet to deployed model in production. Is this expressed in months, weeks, days, hours?

With @visu_ai it could even be expressed in minutes. Check out @f_dion tomorrow morning Feb 4th, in #wsnc for a demo.

[Francois Dion [email protected] @f_dion]

I'll talk about and demo @visu_ai @DionResearchLLC #dataquality #datascience #anomaly #risk #prediction at Tech Slam in Winston Salem #wsnc, Feb 4th
https://t.co/1Hv1ecPc96

[Francois Dion [email protected] @f_dion]

The challenge is that there is an embarrassment of riches. For software dev, I know what I'll use for @visu_ai & for consulting, so I avoid those, as I'll have plenty of practice through the year. Hence I will look at what I know little of, & probably be useful in the future.

[visu.ai @visu_ai]

Let's start at the top: Data Ingest

Forget ETL. @visu_ai does automated ingestion, & allows the user to tweak the choices it made & learns from modifications the user makes. It knows about common things like addresses, and things like VINs, UPCs, & 100s more.
#etl #dataquality

[visu.ai @visu_ai]

Version 3.0 of @visu_ai has been released. #ai based #dataquality, #risk #audit, #anomaly detection software, with automated end to end #DataScience

A @DionResearchLLC product

[Francois Dion [email protected] @f_dion]

The Dion Research Blog: What grade of data are you using? https://t.co/pcEiBrg8Ot

[Francois Dion [email protected] @f_dion]

"At one time we had to advocate for the use of Python in businesses and prompt them to engage with the the SciPy/PyData ecosystem. Now Python data science is one of the most in-demand IT skills across every industry."
And also, congratulations, @pwang

[Francois Dion [email protected] @f_dion]

@amontalenti Funny you mention this. I think email is underrated. I've set up @visu_ai to email results. Ie. Instead of waiting in front of the computer, it'll email me concise explanatory reports. Spend a few minutes feeding it data, hit a button then walk away and work on other stuff.