Synthetic Data Solves AI’s Biggest Problem

In this contributed article, Kalyan Veeramachaneni, co-founder and CEO of DataCebo, discusses how synthetic data is a useful application of AI technology that is already delivering real, tangible value to customers. More than mere fake data, synthetic data supports data-driven business systems throughout their lifecycle, particularly where ongoing access to production data is impractical or ill-advised.

Gretel Announces General Availability of Gretel Navigator, Empowering Enterprises with High-Quality Synthetic Data on Demand

Gretel, a leader in synthetic data generation, announced the general availability of Gretel Navigator, the agent-based, compound generative AI system built to automate data creation and curation processes for AI development. With simple natural language or SQL prompts, Gretel Navigator enables users to create, edit, and augment tabular data, and design realistic, high-quality test and training datasets from scratch. Developers can also leverage existing datasets to generate insight-rich synthetic data on demand.

What Happens When We Train AI on AI-Generated Data?

In this contributed article, Ranjeeta Bhattacharya, senior data scientist within the AI Hub wing of BNY Mellon, points out that In the world of AI and LLMs, finding appropriate training data is the core requirement for building generative solutions. As the capabilities of Generative AI models like Chat GPT, DALL-E continues to grow, there is an increasing temptation to use their AI-generated outputs as training data for new AI systems. However, recent research has shown the dangerous effects of doing this, leading to a phenomenon called “model collapse.”

Synthetic Data: Big Data Industry Predictions for 2024

Our friends over at Mindtech have prepared a special set of compelling technology predictions for the year ahead surrounding the topic of synthetic data. The following Q&A style feature offers predictions from Steve Harris, CEO at Mindtech, the developer of the world’s leading end-to-end “synthetic” data creation platform for the training of AI vision systems. 

Synthetic Data: The Cure to Data Drift?

In this contributed article, Steve Harris, CEO of Mindtech, discusses how data drift is a growing problem affecting almost two-thirds of organizations. Synthetic training data is becoming richer, more diverse, and closely aligned to real world data and has emerged as a solution to overcome the potential of data drift.

USGIF Releases New White Paper: The Evolving Role of Synthetic Data in GEOINT Tradecraft 

Recent advancements in AI have created many opportunities in the GEOINT field, not only by improving imagery analysis techniques, but also by creating synthetic training data for AI algorithms to work more efficiently and accurately. Prior to the innovation of synthetic training data, human inputs would be needed for training AI algorithms.

How Synthetic Data can be Created and Utilized for a Wide Range of Use Cases in Healthcare

In this contributed article, Jonah Leshin, Head of Privacy Research at Datavant, discusses how we have seen a rapid increase in the digitization and standardization of health data. With this groundwork laid, more recently, there have been concerted efforts to connect siloed health data sources in support of more impactful use cases. Synthetic data serves as a powerful complementary tool for the analyses that these use cases require, bringing us closer to maximizing data utility within the healthcare ecosystem.

Synthesis AI Unveils Synthesis Labs, Showcasing Generative AI High-Res Text-to-3D Capabilities

Synthesis AI, a pioneer in synthetic data technologies, introduced Synthesis Labs, which showcases new generative AI capabilities that enable the development of text-to-3D technologies, with an initial focus on digital humans.

Synthesis AI Expands Product Offerings to Enable the Development of Advanced Human-Centric Computer Vision Models

Synthesis AI, a pioneer in synthetic data technologies, released Synthesis Humans and Synthesis Scenarios, two new products that represent the broadest and deepest offerings of human-centric synthetic data. Through a proprietary combination of generative AI and cinematic CGI pipelines, the Synthesis platform can programmatically create vast amounts of perfectly labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches.

Synthesized Solidifies its Partnership with Deutsche Bank, Providing High-quality Synthetic Data for AI and ML Testing Purposes

Synthesized Ltd, a leading synthetic data generation platform, which provides engineering and data science teams a quick way to create and share trusted data through advanced machine learning and automation, announced that Deutsche Bank is investing in its next phase of growth and technology innovation development.