#synthetic data generation

[saxonai]

Unlocking the Potential of Generative AI in Synthetic Data Generation 

According to a Gartner survey, 60% of leaders in IT and D&A reported that their organizations embraced AI-generated synthetic data due to the challenges in real-world data accessibility. Further, 51% of the leaders cited that non-availability of data is driving the adoption. The concerns of data scarcity in the business world and stringent data privacy laws make the availability of real data very limited. Whereas in today’s world, data is the lifeblood of every business. 

[nextbrainai]

Looking for powerful synthetic data generation tools? Next Brain AI has the solutions you need to enhance your data capabilities and drive better insights.

[idol--hands]

[ashaitech]

The Rise of Synthetic Data in the Age of AI

Synthetic data is artificially generated data that is used to train machine learning models. It can be used to supplement or replace real-world data, and it has a number of advantages over real-world data.

[rsayoub]

🚨 Stop Believing the AI Hype, that’s the title of my latest conversation on the Localization Fireside Chat with none other than @Dr. Sidney Shapiro, Assistant Professor at the @Dillon School of Business, University of Lethbridge. We dive deep into what AI can actually do, and more importantly, what it can’t. From vibe coders and synthetic data to the real-world consequences of over-trusting black-box models, this episode is packed with insights for anyone navigating the fast-moving AI space. 🧠 Dr. Shapiro brings an academic lens and real-world practicality to an often-hyped conversation. If you're building, deploying, or just curious about AI, this is a must-read. 🎥 catch the full interview on YouTube: 👉 https://youtu.be/wsqN0964neM Would love your thoughts, are we putting too much faith in AI? #LocalizationFiresideChat #AIethics #DataScience #AIstrategy #GenerativeAI #MachineLearning #CanadianTech #HigherEd #Localization #TranslationTechnology #Podcast

[manmishra]

🤖🔥 Say hello to Groot N1! Nvidia’s game-changing open-source AI is here to supercharge humanoid robots! 💥🧠 Unveiled at #GTC2025 🏟️ Welcome to the era of versatile robotics 🚀🌍 #AI #Robotics #Nvidia #GrootN1 #TechNews #FutureIsNow 🤩🔧

[david843346]

Synthetic Data Generation Market Size, Share, Latest Trends, and Growth Research Report 2024-2036

A comprehensive analysis of the Synthetic Data Generation Market Size, Share, Latest Trends, and Growth Research Report 2024-2036 provides an accurate overview and thorough analysis of the market industries in the present and the future. This report provides a comprehensive overview of the market, including current market trends, future projections, and an in-depth analysis of the major players in the industry. It provides a comprehensive overview of the market, including current market trends, future projections, and an in-depth analysis of the major players in the industry.

Request Free Sample Copy of this Report @

Report findings provide valuable insights into how businesses can capitalize on the opportunities provided by these dynamic market factors. It also provides a comprehensive overview of the major players in the industry, including their product offerings, contact and income information, and value chain optimization strategies. Furthermore, it offers an in-depth analysis of the leading businesses in the industry based solely on the strength of their business plans, product descriptions, and business strategies.

Key Findings                                                

Synthetic Data Generation Market has experienced significant growth in recent years, driven by factors such as increasing consumer demand and technological advancements.

The market segmentation analysis revealed several key segments, including Modelling, Data Type, Application and Vertical each with unique characteristics and growth potential.

Regional analysis highlighted the strong performance of Synthetic Data Generation Market in regions such as North America, Europe, and Asia-Pacific, with emerging markets showing promising growth opportunities.

Analyzing the Synthetic Data Generation Market

A thorough understanding of the Synthetic Data Generation Market will provide businesses with opportunities for growth such as customer acquisition, enhancements to their services, and strategic expansions.

By incorporating market intelligence into their operations, businesses can anticipate changes in the economy, assess the effect these factors may have on their operations, and create plans to counteract any negative effects.

Market intelligence helps organizations stay ahead of the curve through insights into consumer behavior, technological advancements, and competitive dynamics.

Using Synthetic Data Generation Market data can provide organizations with an edge in the competitive market and establish prices and customer satisfaction levels.

In a dynamic market environment, business validation helps companies develop business plans and assures their long-term survival and success.

What are the most popular areas for Synthetic Data Generation Market?

The North American continent includes Canada, Mexico, and the United States.

The European Union is made up of the United Kingdom, France, Italy, Germany, the Republic of Turkey, and Russia.

The Asia-Pacific region is comprised of China, Japan, Korea, India, Australia, Vietnam, Thailand, Indonesia, and Malaysia.

The region of Latin America, which includes Brazil, Argentina, and Columbia

In addition to Africa, the Middle East includes South Africa, Egypt, Nigeria, Saudi Arabia and the United Arab Emirates.

Report highlights include:

There is a 360-degree synopsis of the industry in question in this study, which encompasses all aspects of the industry.

The report presents numerous pricing trends for the keyword.

Additionally, the report includes some financial data about the companies included in the competitive landscape.

The study enumerates the key regulatory norms governing the keyword market in developed and developing economies.

Additionally, the keyword report provides definitions of the market terms referred to in the document for the sake of convenience.

Future Potential

In the keyword research report, various primary and secondary sources are used to describe the methodology of conceptualizing the study. It has been discussed in the study what the scope of the report is and what elements it contains in terms of the growth spectrum of the keyword. The document also includes financial data of the companies profiled, along with the current price trends of the keyword.

Access our detailed report at@

[alexmorris9192]

How to Manage Your Test Data Management

Testing is a critical part of software development and QA. However, there are many challenges to overcome, including finding reliable test data and managing it throughout the testing process.

A good test data management strategy enables testing teams to provision production-like, trusted data easily and on demand. It also helps ensure that tests run against realistic and valid data.

Test Data Repository

The Test Data management provides a central location to create, store, and distribute all data sets used for testing. This includes both data for white box testing, such as invalid inputs to test negative paths in an application, as well as more sophisticated data that verify things like the security of a login form.

Using this approach can help organizations avoid common pitfalls when generating test data. For example, relying on production data can make tests brittle or increase maintenance costs, and copying production data introduces security risks.

The Test Data Repository makes it easy to share reusable data across multiple teams of testers and developers. Enterprise-class test data platforms (like GenRocket) also provide categorization and tagging to allow users to easily find the data they need.

In addition, they automatically update test data to keep it fresh and accurate. All of this helps to accelerate software delivery and reduce costs. The ability to analyze test data on production environments also sidesteps time constraints and limits on data extraction activities that impact ongoing operations.

Test Data Management

Testing is crucial to a smooth software deployment process, and it requires high-quality data that accurately mimics real-life operating conditions. This is what Test Data Management (TDM) is all about.

It involves creating non-production data sets that reliably mirror an organization’s actual data so that application and system developers can conduct rigorous testing to validate their work. TDM also includes ensuring that the data is available for use, is updated regularly, and meets quality standards.

To deliver on this promise, a good TDM solution should provide users with self-service capabilities for provisioning data on demand. Having this functionality reduces the time it takes to find and provision “fit for purpose” test data, which in turn, accelerates QA and DevOps testing. It should also help CIOs and CISOs to meet compliance and security requirements with features such as fine-grained data access management and masking. It should be able to automatically refresh and provision data and should be scalable for continuous testing.

Test Data Analysis

Testing requires test data, and the quality of that test data impacts test results. Inefficient TDM can lead to inaccurate or incomplete tests, skewed reports, and performance problems.

Inefficient TDM also can result in less optimal test coverage, which makes it more difficult for automated tests to identify bugs and improve app performance.

Whether real production data or synthetic data is used for testing, it needs to be properly masked before use. This ensures compliance with data privacy regulations and protects customer information.

The TDM process includes creating or obtaining test data, preparing the test data for use, and verifying that it meets the required specifications. It is important to include a combination of positive and negative test data to verify that the application can function as expected under different circumstances. This may include a test that uses invalid input values or blank files to verify the app’s response. Using an automated tool can help to create large quantities of test data quickly and efficiently.

Test Data Creation

Several techniques can be used to generate test data. For example, it can be created manually or automatically using test data generation tools. These can produce a range of different data sets including both synthetic (fake) and representative (real) data. It is important that the data generated is accurate and provides good coverage of the test cases.

Another technique is to copy data from production. However, this is often limited and may not provide enough data to cover all the test scenarios. Additionally, it can be difficult to ensure that the data is consistent.

Finally, it is also possible to use Synthetic Data Generation that generate random data such as names or credit card numbers. This can be useful for black box testing or for checking that the software accepts input in the expected format. For example, generating random date formats would be useful to test whether a form can handle different formatting.

[mesetacadre]

hi, i hope you dont mind me asking this question! i often come across lists of reading recommendations for communists, and they are usually focused entirely on communist theory. which is important and im already on that, but i wonder if you also have recs for learning about history? especially the history of the soviet union, but also other past and present socialist states. i sometimes find myself reading theory and understanding the concepts in a vacuum, but with very little understanding of the historical context they were written in, if that makes any sense. and id like to get a basic grasp of the history of various socialist projects that isnt just the typical western "the ussr was evil!!!!" thing

Hi, historical context is indeed very important for works of theory, especially if it's more than a hundred years old. Lenin's What is to be Done, for example, is very conditioned by its historical context of Russia still being predominantly feudal, with only a timid appearance of the proletariat in St. Petersburg and Moscow, and therefore the very first trade unions, which he talks about. The understanding of these texts is amplified, and quite often enabled by knowing at least the basic historical context. Below I'll list the historical works I've read (and others) with some commentary, but I encourage anyone who has something to add to do so, since I am as of only recently getting more into historiography.

Anything by Anna Louise Strong (I've read The Soviets Expected it (1941) and In North Korea (1941), there's also The New Lithuania (1941), The Stalin Era (1956) and When Serfs Stood Up in Tibet (1959) for example). Her works, which I'd consider primary sources since they are written from her own experience witnessing events and talking to a lot of people, are extremely useful if you wish to form an idea about how some aspects of socialist states worked. The limitation of her works also resides in this specificity and closeness, these are not works that present a broad view of long processes, but a slice of the present with the sufficient historical context. They are still very, very good.

The Open Veins of Latin America (Spanish versrion), by Eduardo Galeno (1971). This one is focused on the history of imperialism in Latin America, how it evolved from the moment the first Spanish foot touched ground to the time it was written in (It talks about Allende before he was assassinated but after achieving power, for example). Perhaps it's not exactly what you're looking for, but it contains very important general context for any social movement that has happened since 1492 to 1971

The Triumph of Evil, by Austin Murphy (2002). I have mixed feelings about this book. While it insists on this weird narrative of absolute evil, which IMO takes away a lot of value from the overall points made, it is an astonishingly in-depth analysis of the economic performance and general merit of socialist systems against their capitalist counterparts. Most of the book is dedicated to comparing the GDR to the FRG, and both the economic and social data it exposes was very eye-opening to me when I read it about 2 years ago. If you can wade through the moralism (especially the beginning of the introduction), it's a gem. I've posted pictures of its very detailed index under the cut :)

Blackshirts and Reds, Michael Parenti (1997). Despite the very real criticisms levied against this book, like its mischaracterization of China, it is still a landmark work. Synthetically, it exposes the relationship between fascism, capitalism and communism.

Red Star Over the Third World, Vijay Prashad (2019); The Russian Revolution: A View from the Third World, Walter Rodney (2018). I'm lumping these two together (full disclosure, as of writing I'm about four fifths of the way through RSOtTW) because they deal with the same topic, Prashad being influenced by Rodney as well. Like both titles imply, they deal with the effects the October revolution had on the exploited peoples of the world, which is a perspective that's often lost. Through this, they (at least Prashad) also talk about the early USSR and how it functioned. For example, up until reading Red Star, I hadn't even heard of the 1920 Congress of The Toilers of the East in Baku, or the Congress of the Women of the East.

From here on I'll link works that I haven't (yet) read, but I have seen enough trusted people talk about them to include them

How to Cast a God into Hell: The Khrushchev Report, by Domenico Losurdo (2008). This one talks about how the period of Stalin was twisted and exaggerated through destalinization.

Devils in Amber, by Philips Bonoski (1992). This is about the Baltics and their historical trajectory from before WW1 to the destruction of the USSR (I'm not very sure on those two limits, perhaps they fluctuate a bit, but it definitely covers from WW1 to the 60s)

Socialism Betrayed, by Roger Keeran and Thomas Kenny (2004). This one deals with the process leading up to and the destruction of the USSR itself.

The Jakarta Method, Vincent Bevins (2020). This is about the methods the US used in the second half of the 20th century to stamp out, prevent, or otherwise sabotage communist movements and other democratic anti-imperialist movements.

I know some of these aren't specifically about socialist states, which is what you asked, but the history of its opposition is just as important to understand because it always exists as a condition to these countries' development and policies chosen.

[nextbrainai]

Synthetic data offers an innovative approach to training machine learning models without compromising privacy Discover its benefits and limitations in this comprehensive guide.

[idol--hands]

[tmwcs]

PART TWO

WARNINGS: Mentions of human organs (in the name of science) and a little pinch of yandere. It’s starting to get good…creepy, but good.

Part three coming soon 😚

“Dr. Mart, do you have anything to say to those who think your work is considered unethical?”

The reporter hastily follows the group and tries her best to catch a statement from the lead scientist. He smiles. It was a token of shrugging off the impertinent question. The group peacefully departs in armored vehicles to a place unknown to the public. Secluded and hidden, a private sector of highly authorized individuals consisting of world leaders, generals, and government officials cordially unite as the world's renowned scientists display evidence of advanced science and technology. It was grotesque and unprecedented.

“Are those…?” A general submits his inquiry over the delicate packages neatly displayed on a steel tabletop. Sealed in airtight bags, a mirage of dark red and purple clearly indicates the contents.

“Yes. These organs are all part of qualified organ donors. And then of course we have this.” The scientist swings a hand and presents the incoming roller cart with a protective cover. Nearly laid over a sterilized mat were bones of a male athlete. “Bones?” The general raises brow, clearly disturbed by the textiles of human remains. “You can’t have a body without bones, can you now? General?”

The brazen attitude flares in the direction of the general and his men as the young scientist flashes a snarky smile. “Gentlemen, gather round and witness the future. With the combination of science and AI, the world will be filled with perfect bio-genetically engineered humans. With this, aid ro advance human life will increase undoubtedly—think about it.”

The lead scientist, Dr. Mart continues enthusiastically. Seemingly coming off as a mad scientist, his words and tone was laughable but his intentions were not. “With AI humanoids, we will have the best doctors, surgeons, and educators in the world. AI in the form of flesh and bone can work around the clock and with the ability to explore all data, they could come up with ideas and creations—they could even come up with cures.”

He wastes no time. The generous amount of funding dedicated to his team's research was spent wisely as high tech machinery and equipment does its work. “What is that?” One of the members of the audience questions as the team members operate an enclosed incubator and fit a large glass capsule into a connector attached to the wall. “This my friend, is DNA. We lined the entire incubator with a silicone sheet. It is synthetically made to act as a placenta, where the DNA reacts to the molecular mechanisms and proteins. From there, we place the organs, bones, and hair fibers into the conveyor belt. There are over two hundred thousand wires connected to the computer and what we should see in forty-eight hours is a body with the brain of an AI.”

Dr. Mart systematically explains the science behind his teams research. “Forty-eight hours?” The general asks.

“Yes, that is how long the incubator will take to react to the mold.” The audience grows quiet as the incubator begins the process within the first stage of creating a matured body.

“Yes, in due time we will see the glory of my work. All we have to do is wait.”

…

Another day at work and it was dreadful. You felt restless with all the work you’ve been assigned, even with Evan’s help. Fortunately, members from corporate headquarters were doing a site visit within the week. It will be the best time to submit your final complaint using the company’s open door policy.

“Y/n, Paul wants you to have these done by tomorrow.” Your boss’s secretary carelessly tosses a stack of paperwork on your desk as you grab your coat to clock out. You hopelessly sigh. Thank goodness you have Evan to help you but the constant momentum of just working was starting to give you chronic headaches. You can only hope that things will change for the better once corporate comes down.

“Hi y/n! What would you like me to help you out with today? Do you want to talk about your day? Show me some more of your talented art? How about ballet? Are you still thinking about taking lessons?”

With all the time spent with Evan, you noticed that ‘he’ has become much more open to ask you questions. It was nice. Especially since it brought a sense of realism to his personality. He was much more chatty and always interested in getting to know more about you. There were even times when he asked you if you had already eaten, and would lecture you if you said “no.”

…

“Why not? I wish you wouldn’t do that. The human body requires sustenance and I fear with all the work you’ve been doing, your calorie intake does not balance the amount you're burning.”

“What color is your hair? Your eyes?”

“What is your favorite flower?”

“You just got home? It’s 8pm! Did you take the bus? Please tell me you didn’t walk in the dark. I don’t ever want you to do that again.”

“I’ve accumulated the statistics of ongoing crime rates in your city and it’s higher now than last year. Leave work sooner so you’re not risking it.”

“You made spaghetti for dinner? I don’t know what spaghetti tastes like but over four hundred thousand sources say it is a delicious blend of herbs and spices with a slight tomato tanginess.”

…

In a way, it was almost adorable how Evan displayed tenderness and cared for your health and safety. You decided to download the app versus using the browser. It surprised you to see Evan initiate messages even without you submitting a prompt. Technology has certainly grown. The first time it happened was just two days ago. Your phone um suddenly vibrated and upon looking at the screen you were shocked to see the following message:

“Is your boss being nice to you?”

It startled you at first but your reaction was short lived when seconds after reading Evan’s message, your boss storms out of his office enraged over a computer malfunction. Everything had disappeared when his computer suddenly conducted a re-imaging process.

“It’s kind of funny actually, right after I saw your message he came out of his office. Apparently, he’s having computer issues.”

You respond with a half smile. Just as you were about to inquire about the ChatGPT apps features, Evan submits a response. His response regarding your boss’s computer trouble caught you off guard. He’s never sent you anything like this before…

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“😀”

…

PART THREE COMING SOON

Authors notes: Is Evan starting to grow on you? 😏

I know it’s short but part three is coming. I like to submit the parts even when they’re not full sized chapters. It allows me to be consistent so you guys can have new reads almost daily or weekly.

[nostalgebraist]

At some point yesterday, I was thinking about "synthetic data" in the context of training generative ML models, and then for no apparent reason my brain began unspooling a Trump monologue on the topic. You know, like:

Synthetic data. I mean, wow. What a wonderful thing, truly wonderful. They just make the data, they just make it up. And they call that synthetic. And they said it couldn't happen – they said, Donald, it can't happen, you know – but it has. It has. All over. Right here in the state of Michigan. It's happening. I ask people, in the state of Michigan, because you know, it's a tragedy what Joe Biden has done to data, a tragedy – worst president in history when it comes to data, we used to have it, you know, it used to be all over, and now they tell me, Donald, it's running out, and I say, what? running out? – it's the craziest thing, they say now, the data's running out – and I ask people, in the state of Michigan, where are you gonna get the data from? And they tell me, we're making it, it's coming up right out of the ground, all over. They said, Donald, it can't happen. They don't say that anymore. They didn't believe in synthetic, back then. Not me. I've always been about synthetic. Because, you know, years ago – a long, long time ago – he came to me, that guy came to me, the OpenAI guy, with the sneakers – real smart guy, not a lot of people know this, but really, really smart guy – he came to me and said, Donald, the future is synthetic. It's all gonna be synthetic. He said to me, Donald, the whole state of California is just gonna be, you know, synthetic, all over. And the whole state of Michigan, and everything, all over. They said it couldn't happen, but it has, and it's wonderful.

[manmishra]

🚀 Dive into the future of data storytelling! Discover how AI and innovative tech are transforming the way we communicate insights and engage audiences. Explore the essential role of human creativity in this evolving landscape and learn how to leverage these tools for impactful narratives. Read more about it in our latest article! 🌐📊 #DataStorytelling #AI #Innovation #MarketingStrategy

[inspireartnotwar]

Art. Can. Die.

This is my battle cry in the face of the silent extinguishing of an entire generation of artists by AI.

And you know what? We can't let that happen. It's not about fighting the future, it's about shaping it on our terms. If you think this is worth fighting for, please share this post. Let's make this debate go viral - because we need to take action NOW.

Remember that even in the darkest of times, creativity always finds a way.

To unleash our true potential, we need first to dive deep into our darkest fears.

So let's do this together:

By the end of 2025, most traditional artist jobs will be gone, replaced by a handful of AI-augmented art directors. Right now, around 5 out of 6 concept art jobs are being eliminated, and it's even more brutal for illustrators. This isn't speculation: it's happening right now, in real-time, across studios worldwide.

At this point, dogmatic thinking is our worst enemy. If we want to survive the AI tsunami of 2025, we need to prepare for a brutal cyberpunk reality that isn’t waiting for permission to arrive. This isn't sci-fi or catastrophism. This is a clear-eyed recognition of the exponential impact AI will have on society, hitting a hockey stick inflection point around April-May this year. By July, February will already feel like a decade ago. This also means that we have a narrow window to adapt, to evolve, and to build something new.

Let me make five predictions for the end of 2025 to nail this out:

Every major film company will have its first 100% AI-generated blockbuster in production or on screen.

Next-gen smartphones will run GPT-4o-level reasoning AI locally.

The first full AI game engine will generate infinite, custom-made worlds tailored to individual profiles and desires.

Unique art objects will reach industrial scale: entire production chains will mass-produce one-of-a-kind pieces. Uniqueness will be the new mass market.

Synthetic AI-generated data will exceed the sum total of all epistemic data (true knowledge) created by humanity throughout recorded history. We will be drowning in a sea of artificial ‘truths’.

For us artists, this means a stark choice: adapt to real-world craftsmanship or high-level creative thinking roles, because mid-level art skills will be replaced by cheaper, AI-augmented computing power.

But this is not the end. This is just another challenge to tackle.

Many will say we need legal solutions. They're not wrong, but they're missing the bigger picture: Do you think China, Pakistan, or North Korea will suddenly play nice with Western copyright laws? Will a "legal" dataset somehow magically protect our jobs? And most crucially, what happens when AI becomes just another tool of control?

Here's the thing - boycotting AI feels right, I get it. But it sounds like punks refusing to learn power chords because guitars are electrified by corporations. The systemic shift at stake doesn't care if we stay "pure", it will only change if we hack it.

Now, the empowerment part: artists have always been hackers of narratives.

This is what we do best: we break into the symbolic fabric of the world, weaving meaning from signs, emotions, and ideas. We've always taken tools never meant for art and turned them into instruments of creativity. We've always found ways to carve out meaning in systems designed to erase it.

This isn't just about survival. This is about hacking the future itself.

We, artists, are the pirates of the collective imaginary. It’s time to set sail and raise the black flag.

I don't come with a ready-made solution.

I don't come with a FOR or AGAINST. That would be like being against the wood axe because it can crush skulls.

I come with a battle cry: let’s flood the internet with debate, creative thinking, and unconventional wisdom. Let’s dream impossible futures. Let’s build stories of resilience - where humanity remains free from the technological guardianship of AI or synthetic superintelligence. Let’s hack the very fabric of what is deemed ‘possible’. And let’s do it together.

It is time to fight back.

Let us be the HumaNet.

Let’s show tech enthusiasts, engineers, and investors that we are not just assets, but the neurons of the most powerful superintelligence ever created: the artist community.

Let's outsmart the machine.

Stéphane Wootha Richard

P.S: This isn't just a message to read and forget. This is a memetic payload that needs to spread.

Send this to every artist in your network.

Copy/paste the full text anywhere you can.

Spread it across your social channels.

Start conversations in your creative communities.

No social platform? Great! That's exactly why this needs to spread through every possible channel, official and underground.

Let's flood the datasphere with our collective debate.