DataCebo @datacebo
An MIT spin-off that's making synthetic data a reality. datacebo.com Joined October 2020-
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Once you build a generative model to create #syntheticdata, you can sample “millions or even billions” of records of customers data, even if you train the model on just 10,000 customers' data, according to @kveeramac . “Enterprises can create a lot of data in their lower…
“Structured data is one of the largest forms of data that AI still hasn’t tapped into,” says @kveeramac . “There’s a lot of business value that can be pulled out of it.” Veeramachaneni spoke with @sriramhere about how we are building #generativeai for the enterprise data.
“Structured data is one of the largest forms of data that AI still hasn’t tapped into,” says @kveeramac . “There’s a lot of business value that can be pulled out of it.” Veeramachaneni spoke with @sriramhere about how we are building #generativeai for the enterprise data.
In a recent exchange, @pnashawaty engaged in a discussion with @kveeramac Co-founder and CEO of @datacebo to discuss access to synthetic data for generative AI models. buff.ly/3vEo989 #DataCebo #GenAI #TheFuturumGroup
Synthetic data lets developer skip the dreaded task of generating test data before releases. Learn more @pnashawaty interviews our founder @kveeramac on how @sdv_dev enterprise helps development teams ship faster.🚀 futurumgroup.com/insights/enabl…
Datacebo (portfolio) raised $8.5M and released SDV Enterprise, the commercial version of their popular source-available SDV (Synthetic Data Vault) which generates synthetic data that is relationship-preserving and statistically similar to original data. techcrunch.com/2023/12/07/dat…
Published 5 years ago today: OpenAI's paper on GPT, which has 1 million times fewer parameters than GPT-4. GPT: 117m parameters GPT-2: 1.5b GPT-3: 175b GPT-4: 100 trillion
We can't control the weather, but we ✨can✨ control our software: Instead of waiting for a storm, simulate a hypothetical one using #syntheticdata ⛈ ❄️ #SDV #datasimulation datacebo.com/blog/sdv-fligh…
Synthetic data—which resembles real data sets but doesn’t compromise privacy—allows companies to share data and create algorithms more easily. @kveeramac of @MIT_SCC (@MITSloan) shares what he’s learned via the creation of @datacebo’s #SyntheticData Vault: buff.ly/3R1yKjX
Our co-founder @kveeramac talked with @globeandmail about the potential applications for #syntheticdata and the high-value uses when predicting rare outcomes. Read the article here ▶️ theglobeandmail.com/business/artic…
🤔Categorical data…huh? That’s what we’ve been hearing from hundreds of our users. 🔎So let’s dive in: what it is, how important it is in training a #machinelearning model to produce accurate #syntheticdata, & some misconceptions to avoid. 📖ow.ly/WkUc50MUIV5 #datascience
🎉2022 was an exciting year for us, our #opensource & enterprise SDV, and for #syntheticdata overall. 🥳⭐ Here’s a recap of our 2022 + some innovations to come in 2023👉 ow.ly/i8KC50MTc3T #machinelearning #artificialintelligence
CTGAN is a collection of #deeplearning #syntheticdata generators developed at MIT's @lab_dai and one of the most popular models in our #opensource SDV library. Read the what, why & how here 👉ow.ly/E6sy50MOHej #machinelearning
What non-contributors bring to the #opensource table 👉 indispensable feedback ⭐ finding use cases💡& helping us to improve our #OS 💪+ the product that relies on it. Read our latest blog post 📝 ow.ly/CJZk50MGOvY #ML #AI #SyntheticData #datascience
Our co-founder & VP of Product @n4atki outlines 3 strategies that have directly impacted how far & wide our #opensource Synthetic Data Vault ecosystem has been adopted 💡Hint: they all start with #userexperience ow.ly/iSWB50MMsYQ #syntheticdata #machinelearning #AI
Happy 67th birthday to Python creator Guido Van Rossum. Roughly 16m programmers use Python language - and here are 3 packages for synthetic data, specifically: towardsdatascience.com/top-3-python-p… (v/@towardsdata)
Happy Data Privacy Day! Privacy can be enhanced by synthetic data. Explore some of our #SD tools: sdv.dev/SDV/ #DataPrivacyDay #DataPrivacyDay2023
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Fun interview looking at Synthetic Data and AI models for testing applications.
Once you build a generative model to create #syntheticdata, you can sample “millions or even billions” of records of customers data, even if you train the model on just 10,000 customers' data, according to @kveeramac . “Enterprises can create a lot of data in their lower…
Startup Spotlight: @datacebo: clouddon.ai/startup-spotli… < checkout my post & video interview with @kveeramac to learn more about how DataCebo uses GenAI to generate high quality data at scale. #SyntheticData #GenAI
@MKBHD @KingJames Caitlin Clark drives viewership, gotta make sure she’s in the finals 🤥
The excitement continues at #KubeConParis. Here's a sneak 👀 at what hosts @camberleyb, @StevenDickens3, and @pnashawaty are filming with @NetApp, @intel, @datacebo.
In a recent exchange, @pnashawaty engaged in a discussion with @kveeramac Co-founder and CEO of @datacebo to discuss access to synthetic data for generative AI models. buff.ly/3vEo989 #DataCebo #GenAI #TheFuturumGroup
CTGAN is a collection of #deeplearning #syntheticdata generators developed at MIT's @lab_dai and one of the most popular models in our #opensource SDV library. Read the what, why & how here 👉ow.ly/E6sy50MOHej #machinelearning
Last week @Trevornoah asked @OpenAI @miramurati: How can we safeguard against AI-powered photo editing for misinformation? MIT students hacked a way to "immunize" photos against edits: gradientscience.org/photoguard/ @aleks_madry
With AI and ML-powered coding tools on the rise, the data used to train these models are under scrutiny and raise major privacy concerns. We dig into how synthetic data presents a lower-risk solution that scales. stackoverflow.blog/?p=20954?utm_s…
How to evaluate synthetic data for your project @datacebo datacebo.com/blog/how-to-ev…
Synthetic data is the renewable source we need to accelerate the AI industry technative.io/synthetic-data…
If you are interested in synthetic data, add this good resource to your bookmarks. 📰 Synthetic Data in Human Analysis: A Survey abs: arxiv.org/abs/2208.09191 pdf: arxiv.org/pdf/2208.09191…
So I'm pretty pumped about deep dives over the next couple of weeks. I'm dropping a Part 1 of a 2-part series on synthetic data in healthcare tomorrow! • Part 1 will cover the background of the healthcare data problem and what the heck synthetic data actually is.
I really enjoyed this interview, we discussed AI - As well as misinformation and propaganda that originates from China and Russia. unite.ai/sean-gourley-c… #misinformation #propaganda #AI #artificialintelligence
Machine learning at the edge: The AI chip company challenging Nvidia and Qualcomm venturebeat.com/ai/machine-lea… via @VentureBeat @SiMa_Inc
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