In this episode of the Data Democratization Podcast, host Alexandra Ebert interviews Daniela Pak-Graf, the managing director of Merkur Innovation Lab — the innovation arm of Merkur Insurance. Daniela shares her tips and best practices for innovating with data in one of the most conservative and sensitive industries, health insurance. Tune in to find out how to accelerate innovation through effective data management, forward thinking organizational decisions and enabling technologies, like AI-powered synthetic data generation.

The 40th episode is a special one. We invited MOSTLY AI's Chief Product Officer, Mario Scriminaci, to quiz him about synthetic data technology and how the filed is progressing beyond the data privacy use case. Mario will share how MOSTLY AI is developing its synthetic data platform to provide users with easy and fast data augmentation tools. The frontiers of generative synthetic data is exciting - tune in to learn what's already a reality and what the future holds.

In episode 39 of the Data Democratization Podcast, host Alexandra Ebert, Chief Trust Officer at MOSTLY AI, is joined by Rania Wasir, co-founder and CTO of leiwand.ai, to discuss AI transparency, the misconceptions surrounding AI transparency and fairness, and why having a standard for transparency is important. The episode also explores the concepts of fairness and explainability in AI, and how they differ from transparency. The challenges of detecting biases in large language models such as ChatGPT are also explored.

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:

• How to align the business side and the data science side of product development
• What's the difference between traditional software development and machine learning development
• How to bring customer understanding into data science and engineering
• What are the most common traps in data science
• Why it's essential to work with realistic data instead of picture-perfect datasets
• How to get buy-in from stakeholders for ethical AI

Kicking off season three of the Data Democratization podcast, our host, Alexandra Ebert, MOSTLY AI's Chief Trust Officer, talks to Ryan Carrier, Founder and Executive Director of the NGO For Humanity. Ryan's mission at For Humanity is to translate emerging AI regulation into auditable criteria, helping to build an AI ecosystem that people can trust.

If you want to learn more about For Humanity's work, join their Slack community or take one of their classes online.

Noelle knows her stuff when it comes to implementing and scaling AI while, at the same time, keeping everyone content and on board. With experience leading teams at Microsoft, NPR and Amazon, she is well-versed in the day-to-day challenges of building an AI-ready culture and knows how to overcome them. She specializes in conversational AI, voice technology, intelligent apps, and responsible AI, working on creating innovative tech education programs. Tune in to learn her tips and tricks for building AI teams and AI models with success! 

Pedro Pavón is the Global Policy Director responsible for monetization, privacy, and fairness at Meta. Pedro is a professor of law and a certified privacy professional who talked to us about the state of privacy and fairness. Meta has been the focus of attention for its role in society and the public discourse. Pedro sheds light on some of the challenges and solutions social media companies need to tackle to preserve privacy, facilitate research and mitigate impacts on democracy.

Author of a best-seller book for AI ethics, Ethical machines, Reid's mission is to educate business leaders about the practical reality of AI ethics. Business leaders need to understand ethics if they care about their brands. As Reid says, you can't math your way out of AI bias. Issues of ethics need to be addressed head-on, and those at the top must understand the nuances of operationalizing AI ethics and running AI systems to do so. Tune in to this episode of the Data Democratization Podcast to learn:

• why ethics is not a fuzzy topic and how to properly operationalize it,
• why businesses should hire AI ethicists and why lawyers can't do the job of an ethicist,
• how to think about AI ethics,
• how to build an AI risk mitigation program,
• what are the pitfalls and best practices for implementing AI ethics,
• how to buy AI solutions and prepare procurement for the challenges of purchasing responsible AI products,
• the difference between responsible AI, ethical AI, and trustworthy AI,
• how to write an AI ethics statement that actually does its job,
• what's the difference between global explainable AI (XAI) and local XAI

Reid is a regularly published author at Harvard Business Review. If you would like to learn more about his work, read his article entitled Everyone in Your Organization Needs to Understand AI Ethics.

The Data Democratization Podcast is back with an intriguing episode giving us a glimpse into the future of healthcare. Just like with any industry, AI is set to revolutionize how health insurers and healthcare service providers work. Improving patient outcomes is a great way to maximize the positive impact. However, the risks, as well as the opportunities are even greater when it comes to the health of millions of humans. Laura and Brent, two AI Ethics experts working at Humana, a large US health insurance company, are pioneers of their fields. For them, ethical AI, fairness and explainability are not just far-away buzz words, but everyday todo items with hands-on solutions. If you would like to learn more about how ethical AI gets done, listen to this episode and find out:

• How will AI revolutionize healthcare?
• How to build AI ethics programs?
• What is fairness in AI and what does synthetic data have to do with it?
• How is fair synthetic data used to promote AI fairness?

Meet Laura Mariano, Lead Ethical AI Data Scientist and Brent Sundheimer, Principal AI Architect from Humana and your host, Alexandra Ebert, Chief Trust Officer at MOSTLY AI, the world’s leading synthetic data company! 

Omer Tene is a well-known data privacy expert, who led the International Association of Privacy Professionals for years. He has a deep and global understanding of data privacy legilsations as they stand in 2022 and has a pretty good grasp on the trends and about the way things are likely to evolve globally. Tune in to learn about the latest news on data privacy legislations and the hot topics of the day, including crypto, NFTs and the metaverse.