🚀 Launching Synthetic Text to Unlock High-Value Proprietary Text Data

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Learn how MOSTLY AI is utilizing synthetic data and privacy tech to change how modern businesses approach their data.

Building trusted machine learning products with Karin Schöfegger (Tribe AI) - DDP E38

Karin Schöfegger is a seasoned ML product manager who knows how to create successful AI/ML products and mitigate the risks involved. In this episode, she shares her insights about challenges in building AI products. Tune in to learn about: 1. How to align the business side and the data science side of product development 2. […]

Synthetic Data Tutorial | Unlock the Power of AI | MOSTLY AI

Synthetic data tutorial for pioneering synthetic data platform MOSTLY AI. In this tutorial, we showcase the incredible capabilities of our platform in generating highly-accurate synthetic data. Follow along as our expert, Mario Scriminaci, Chief Product Officer at MOSTLY AI, demonstrates the speed, accuracy, and versatility of our cutting-edge technology. With real-world examples and practical insights, […]

Synthetic Data | Get shorter time-to-data, more ML models in production, & data privacy | MOSTLY AI

Get started for free at https://mostly.ai/ What is synthetic data? Synthetic data refers to artificially generated data that mimics the statistical properties and patterns of real-world data. Why should I use synthetic data? Cost-Effective: Generating synthetic data is often cheaper and more time-efficient than collecting and labeling real-world data. Private: Synthetic data can help to […]

Explore your data at granular level with MOSTLY AI's synthetic data platform

Are you struggling to gain insights from your data due to the lack of detail and clarity? Look no further than MOSTLY AI’s synthetic data platform. Our AI-powered tool allows you to explore your data at a granular level by generating realistic samples of minority classes, providing you with a clear and comprehensive picture of […]

Smart Imputation Feature Showcase: Generate High-Quality Synthetic Data with MOSTLY AI

In this video, our Chief Product Officer, Mario Scriminaci, will demonstrate how our latest version of MOSTLY AI's synthetic data generator introduces features that allow users to interact with their original dataset, including our 'Smart Imputation' technique. This technique accurately recreates the original distribution while filling in the gaps for missing values, making it a […]

Imbalanced datasets? Use AI-generated synthetic data

Are you struggling with imbalanced datasets and unsure how to handle them? Are you tired of collecting more data or struggling with data resampling? Look no further! We are thrilled to introduce you to AI-generated synthetic data. With synthetic data, you can automate data augmentation and ensure fairer and smarter ML models without having to […]

Hashing away the intelligence of your data? Go synthetic!

Are you concerned about the intelligence of your data being lost through hashing? Are you frustrated with data anonymization destroying your models? If so, then you're in luck! We are excited to introduce you to the solution to your problem: high-quality synthetic data. By training models on synthetic data, you can keep correlations and data […]

Generative AI for tabular data: Augmentation, Rebalancing, Imputation, Diverse data

MOSTLY AI's free synthetic data generator has been used by thousands of people to anonymize data and experiment with synthetic data technology. Now they can unleash the full power of generative AI on their tabular datasets: augment, complete, upsample, subset, or diversify data using our no-code free forever tool. In this live webinar, Mario Scriminaci, […]

How MOSTLY AI 3.0 is Revolutionizing Synthetic Data Rebalancing

MOSTLY AI's Chief Product Officer, Mario Scriminaci, showcases the new feature - rebalancing, that is set to be released in the upcoming version of MOSTLY AI's synthetic data platform. In this video, Mario takes you through the new feature's capabilities and how it can help users create more balanced and representative synthetic datasets for their […]

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