Director Applied AI Lab & Perry Professor at UC, Author, Podcaster, Tableau Visionary Hall of Fame https://xitter.cf/t.co/hOwQg4AtRS●https://xitter.cf/t.co/Z8JTLTF9Uj●https://xitter.cf/t.co/XYIW0lre98
Cincinnati
Joined January 2012
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Jeffrey Shaffer retweeted
📊 The next Cincinnati Tableau User Group meetup is coming up on Thursday, July 30th!
We're looking forward to bringing together the Cincinnati data community for an evening of learning, networking, and great conversations around Tableau and analytics.
Whether you're a seasoned Tableau user, just getting started, or simply passionate about data visualization, we'd love to have you join us.
Registration is already live for those who are interested. 👀 Hope to see you there!
#datacareers #cincinnati #tableau #SEI #datafam #BusinessIntelligence
#DataAnalytics #DataStorytelling #DataScience #TableauUserGroup
#Networking #CareerGrowth #WomenInData
Your Cincinnati Tableau User Group leadership team: @DataPlusScience, @FlerlageKev, @deeVizable, Jennifer Dawes, and Ethan Hahn.
lnkd.in/edZ2quTT
Jeffrey Shaffer retweeted
This fantasy league had its loser trick or treat in June until he got 10 pieces of candy from houses.
Elite punishment.
Jeffrey Shaffer retweeted
𝐓𝐡𝐞 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐲𝐥𝐞 𝐆𝐮𝐢𝐝𝐞 𝐁𝐮𝐢𝐥𝐝𝐞𝐫
You can build a custom dataviz style guide for your organization, complete with color palettes, chart examples, and sections on accessibility and best practices.
policyviz.com/2026/04/09/bui…
Jeffrey Shaffer retweeted
Forget the Golden Globes, the Emmys and The Oscars, the ONLY award that really matters is the 2026 @Tableau Community Awards, yes folks its time for the 2026 Vizzies! Be the first to cast your votes for the 11th Annual Awards! #tableau #datafam
bit.ly/thevizzies
Jeffrey Shaffer retweeted
This year, I’ve been tracing faith through the Bible — studying Scripture, exploring historical context, and connecting themes across time. Reading & Tracing Faith Through the Bible is part reflection, part study, and I’ll keep building on it all year. #datafam #tableau @tableaupublic
Viz: lnkd.in/eu5vdvuP
Plan: lnkd.in/eqRVqgTJ
Jeffrey Shaffer retweeted
What kind of change will AI bring in the next few years?
@uofcincy Applied AI Lab Director, Jeff Shaffer @DataPlusScience joins me and Donna D next...listen 2:07p 700wlw.com/listen
Jeffrey Shaffer retweeted
My annual MRI scan gives me a USB stick with the data, but you need this commercial windows software to open it.
Ran Claude on the stick and asked it to make me a html based viewer tool. This looks... way better.
Jeffrey Shaffer retweeted
ICYMI DeepSeek has just unveiled an OCR monster 🤯
DeepSeek-OCR is a 3B-parameter model that redefines document intelligence. It reaches 97% character-level accuracy with 10× input compression, preserving every detail.
Most OCR systems require over 6,000 tokens per page.
DeepSeek-OCR achieves the same with about 100 tokens.
No fidelity loss.
Adaptive modes:
✓ Tiny – simple layouts (≈64 tokens)
✓ Small – standard reports (≈100 tokens)
✓ Database – structured or multi-column docs (≈256 tokens)
✓ Gundam – high-complexity pages (n×100 + 256 tokens)
It scales effortlessly: 200K pages/day on a single NVIDIA A100 GPU.
Its dual-stage design combines a vision encoder for optical compression with a Mixture-of-Experts decoder for structured reconstruction. The outcome is near-perfect precision and zero information loss.
In practice:
➤ 10× lower token costs
➤ Runs on standard hardware
➤ Outputs clean HTML, SMILES, or JSON
While traditional OCRs focus on raw pixel-to-text conversion, DeepSeek-OCR just introduces intelligent semantic parsing 🔥
Open source and free to use.
Repo in 🧵↓
Jeffrey Shaffer retweeted
This #VizOfTheDay by Anindita Mitra utilizes high-contrast geospatial mapping to visualize the imbalance between Alaska’s land mass, and its human footprint—the largest of any U.S. state.
Explore the viz. tabsoft.co/48J6HQI
Jeffrey Shaffer retweeted
In this #VizOfTheDay, @Babajide_Tobi showcases 12 widget styles for tracking monthly performance, from lollipop plots to area charts. Explore the viz to see how you can customize your KPI widget.
tabsoft.co/44DuhMi
Jeffrey Shaffer retweeted
This is insane 🤯
A new system called Paper2Video can read a scientific paper and automatically create a full presentation video slides, narration, subtitles, even a talking head of the author.
It’s called PaperTalker, and it beat human-made videos in comprehension tests.
Hours of academic video editing... gone.
AI now explains your research better than you do.
👉 github. com/showlab/Paper2Video
Jeffrey Shaffer retweeted
Hi #Datafam I've been a little busy dipping into overlapping bars, & building all the samples I could find into one place.
Examples from: @VizWizBI @FlerlageKev @DataPlusScience Brittany Rosenau Darragh Murray & Sebastine Amede with attribution.
public.tableau.com/app/profi…
Jeffrey Shaffer retweeted
What a week at the @tableau conference 🤯
We presented 6 tools, including 4 brand-new ones:
Filter Manager
KPI Viz Extension
ChatGPT Extension
Custom Themes Generator
Dashboard Layouts Generator
Chart Generator for Figma to Tableau Plugin
Missed it? No worries, here's a recap!
Jeffrey Shaffer retweeted
Who else will be taking to the stage you??
The final four tipsters are...
Tableau Visionary Hall of Famers @DataPlusScience, @jonathandrummey, @_Lorna_Brown, and @sarahlovesdata
I can't wait to see the amazing tips!!!
#TC25 #datafam
Jeffrey Shaffer retweeted
New Blog Post - Variable Offset Label Bar Chart
Ever had so many header labels on a bar chart that they wrap and get cut off? Well, this variable offset label technique might be your solution. Check it out:
Link: flerlagetwins.com/2025/02/va…
Jeffrey Shaffer retweeted
#AI Hackathon sponsored by @near_ai, hosted by @devpost
One Trillion Agents Hackathon by NEAR Protocol
💰 PRIZES: $110,000+
📅 DEADLINE: March 2
🛠️ Bring order to chaos by building the next wave of autonomous agents on NEAR Protocol.
🔗JOIN HACKATHON: bit.ly/nearautonomousi
Jeffrey Shaffer retweeted
Google just... broke SOTA weather prediction with a... diffusion model 😮 or rather, an ensemble of 50 or more predictions and open sourced it!
Beating the current SOTA called ENS at 97% of 1320 combinations of predictions and 99% of lead times of greater than 36 hours.
Remarkable is the difference in how fast it takes to generate a prediction. GenCast takes 8 minutes on a single TPU v5 while ENS takes hours on a supercomputer with tens of thousands of processors
This is a massive jump forward in weather forecasting!
Today in @Nature, we’re presenting GenCast: our new AI weather model which gives us the probabilities of different weather conditions up to 15 days ahead with state-of-the-art accuracy. ☁️⚡
Here’s how the technology works. 🧵goo.gle/49trAOv
