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Fair synthetic data and ethical AI in healthcare with Humana

WEBBut perhaps none are as exciting as fair synthetic data generation for healthcare. Alexandra Ebert, MOSTLY AI's Chief Trust Officer and the host of the Data Democratization …

Actived: 5 days ago

URL: https://mostly.ai/data-democratization-podcast/fair-synthetic-data-and-ethical-ai-in-healthcare

Synthetic data for impact: how to innovate in health insurance with

WEBIn this episode of the Data Democratization Podcast, host Alexandra Ebert interviews Daniela Pak-Graf, the managing director of Merkur Innovation Lab — the innovation arm …

Category:  Health Go Health

Synthetic Data Generation with the Highest Accuracy for Free

WEBThe MOSTLY AI Python Client is the official tool for interfacing with the MOSTLY AI Synthetic Data Platform, offering a suite of functionalities directly out of a Python …

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Synthetic healthcare data platform for pharmaceuticals, research, …

WEBTabular healthcare data is another frontier for new artificial intelligence applications. Synthetic data generated by AI trained on real datasets is one of the most …

Category:  Health Go Health

Health care and illness

WEBGeneral information on social security in Austria: As soon as you are employed in Austria you get a social security card called eCard. With this card you can choose a doctor who …

Category:  Health Go Health

Insurance innovation: 3 use cases powered by synthetic data in …

WEBThey join a short (but growing) list of innovators in the Insurance space, like our friends, Humana, who are creating winning data-centric products with their synthetic …

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On the future of digital health

WEBIn today's episode, we will fully focus on innovation in healthcare, more specifically, innovation in digital health, how to achieve it, in which direction the industry …

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The Complete Guide to Synthetic Test Data Generation for Healthy

WEBTest data types and their synthetic data solutions How to generate synthetic test data using AI. Generate synthetic data for testing using a purpose-built, AI-powered …

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Representative test data generation

WEBMOSTLY AI’s easy to use Synthetic Data Platform empowers test engineers to create realistic synthetic copies of customer data. The Platform leverage Generative AI Models …

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and how to protect against them

WEBAI-based re-Identification attacks - and how to protect against them. A new, powerful breed of privacy attacks is emerging. One that uses AI to re-identify individuals …

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Data migration: How to do it like a pro

WEBData migration is a critical process in data management and technology. Whether it involves upgrading systems, transitioning to the cloud, or consolidating …

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AI in insurance: the 6 most important use cases in 2023

WEB1. Build lighthouse projects. In order to convince decision makers and get buy-in from multiple stakeholders, it’s a good idea to build lighthouse projects, designed …

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The Data Democratization Podcast

WEBEP 47. December 14, 2023. , 51 m. 47. The secrets of unlocking business value with your data strategy. The 47th episode of the Data Democratization Podcast …

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External data sharing

WEBMcKinsey estimates that privacy-safe data sharing could generate almost $3 trillion annual economic value. And synthetic data generators are the technology to …

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How to generate synthetic data from real data

WEBStep 3 - Train and generate. Under the Settings tabs you have the option to change how the synthesization is done. You can specify how many data subjects you …

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Truly anonymous synthetic data

WEBTruly anonymous synthetic data. Head over to Part II of our blog post series to dive deeper into the privacy of synthetic data, and how it can be assessed. Credits: …

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What is time series data and how to analyze it effectively

WEBTime series data is a sequence of data points that are collected or recorded at intervals over a period of time. What makes a time series dataset unique is the …

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Why Bias in AI is a Problem & Why Business Leaders Should Care

WEBBut not only customers would benefit from unbiased AI. According to Gartner, “ By 2022, 85% of AI projects will deliver erroneous outcomes due to bias in data, …

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