MOSTLY AI
Data Democratization: Stories about data, AI and privacy
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MOSTLY AI
Data Democratization: Stories about data, AI and privacyEpisodes
MOSTLY AI
Data Democratization: Stories about data, AI and privacy
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Episodes of Data Democratization
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In the 47th episode of the Data Democratization Podcast, host Alexandra Ebert talks to Maritza Curry, Head of Data at RCS South Africa, to explore practical insights into developing effective data strategies. The discussion delves into the impo
In the 46th episode of the Data Democratization Podcast, host Alexandra Ebert is talking to Wolfgang Weidinger, AI, Data Science, and Analytics Coordinator at Generali Insurance, Austria, and Chairman Of The Board at the Vienna Data Science Gro
In this episode of the Data Democratization Podcast, host Alexandra Ebert, Chief Trust Officer at MOSTLY AI, sits down with Caroline Louveaux, Chief Privacy & Data Responsibility Officer at Mastercard, to explore the evolving landscape of data
What is data and AI literacy, and why is it central to DataCamp's mission? In this episode, our host, Alexandra Ebert, MOSTLY AI's Chief Trust Officer, had the chance to talk to truly like-minded people. DataCamp's CEO and co-founder, Jo Cornel
Recorded live at the Money2020 Europe conference, Alexandra Ebert, MOSTLY AI's Chief Trust Officer talks to Sulabh Agarwal, Accenture's Global Head of Payments. Sulabh shares his insights on the changing landscape of the payments industry and t
In this episode, we are joined by our esteemed guest, Dr. Meshari Alwashmi, a prominent Digital Health Scientist whose expertise spans not only extensive research but also a successful track record as a serial entrepreneur and trusted advisor t
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 innov
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
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 an
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 t
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 transl
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 b
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
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
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
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 th
Ville Sointu is leading the Emerging Technologies team at one of Europe's biggest banks, Nordea. In this episode, he shares his advice and insights about adopting new technologies in famously conservative financial environments. Ville is also a
In this episode we talked to a prominent scientist from the data privacy field, Yves-Alexandre de Montjoye. He is an assistant professor at the Imperial College London, leading the Computational Privacy Group. A lot of fascinating privacy quest
The recently announced Transatlantic Data Privacy Framework will foster data flows between the US and the EU, addressing the concerns raised by the Schrems II. decision. The US-made an unprecedented commitment to strengthen the privacy protecti
We talked to an amazingly experienced and visionary test engineer to find out all about her challenges and inspirations. Alexandra and Maaret covered a lot of ground in the testing landscape, from everyday testing challenges to best practices a
What does it take to create effective digital policies? Why does the AI Act only go half-way - and what else needs to happen to ensure meaningful regulation of AI? How could the EU and the US overcome the challenges of negotiating transatlantic
What's synthetic data's future, and what's behind the synthetic data hype? This episode is all about synthetic data. We spoke to Tobi Hann, CEO of MOSTLY AI, the world's leading synthetic data company about the opportunities and challenges surr
To celebrate Data Privacy Day 2022, we talked to the godfather of GDPR, Paul Nemitz, about how bigtech threatens democracy, the role law can play in protecting people and societies from adverse effects of technology and why it's time to regulat
Axel Voss is leading the Special Committee on Artificial Intelligence in the European Parliament. He's been working on a report outlining important policy recommendations for the upcoming European AI regulations. Among other things, Axel talke
Denis Rothman has been an AI practitioner since the dawn of this technology. Denis shares his ideas on the origins of explainable AI, its necessity, the way forward for model agnostic explainable AI and the challenges of natural language proces
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