Afleveringen
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Welcome back to Season 4 of the Data Democratization Podcast! In the 1st episode of the new season, Alexandra Ebert sat down with Malcolm DeMayo, NVIDIA's VP of Global Financial Services, live at Money2020 US to dive into what it takes for financial services organizations to succeed with data and AI at scale.
Malcolm shares insights on using data as a true differentiator, why Responsible AI practices are more important than ever, and how modern privacy-enhancing technologies - like federated learning and synthetic data - help tackle common data challenges. He also sheds light on how Gen AI is impacting talent and the surprising ways AI assistants might help organizations counteract the negative effects of employee churn. And, of course, Alexandra asks Malcolm for his vision for the future of AI in financial services.Check out other episodes of the Data Democratization Podcast for more stories about data, privacy, responsible AI and how to do data democratization well.
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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 importance of solid data management and data governance. It also covers the topic of whether an AI strategy is necessary and the critical need for integrating business literacy into AI and data initiatives. Maritza offers valuable tips from her extensive experience, emphasizing the importance of good communication. She highlights the necessity of talking not only to executives but also to those on the frontlines in order to develop effective data strategies and tailor them to best fit your organizational culture.
Check out the other episodes of the Data Democratization Podcast for more stories about data, privacy, responsible AI and how to do data democratization well. -
Zijn er afleveringen die ontbreken?
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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 Group.
selecting the right tools for AI projects,the adoption of AI in various industries,the significance of soft skills, collaboration, and domain knowledge,the organizational role of the data scientist,how to bridge the gap between business and technology.
Wolfgang is a seasoned data scientist with tons of experience managing AI, data science, and analytics projects.
The episode covers a wide range of topics, offering actionable tips for those looking to deploy AI models in large organizations:If you would like to learn more about data science and AI in practice, we recommend The Handbook of Data Science and AI - Generate Value from Data with Machine Learning and Data Analytics, co-authored by Wolfgang. If you are in Vienna, Austria, follow the Vienna Data Science Group for great meetups and opportunities to connect with the local data science community!
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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 privacy and AI governance. Caroline shares her insights on topics ranging from privacy-enhancing technologies (PETs) to data for social impact. Here is what you'll learn:
How to be successful in today's data and AI ecosystem,What is the role of the Chief Data Responsibility Officer,How to set up your organization for compliance with the 'alphabet soup of EU regulations',How to make compliance loveable,What's needed on the regulatory side,How to enable AI innovation,What is an AI governance framework, and how to make it work?How can privacy pros prepare for AI?How can privacy-enhancing technologies facilitate AI innovation?Why is automation so important?Can data and AI positively impact society?Dive into this conversation to better understand the importance of data governance and responsible data usage in the digital age.
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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 Cornelissen, and Maggie Remynse, VP of Curriculum, have both seen firsthand how transformative knowledge and access to data is.
If you are interested in Data and AI literacy, make sure you check out the vast resources DataCamp is going to share throughout September 2023 during their annual Data and AI Literacy Month. There are top-notch experts sharing their knowledge during webinars, podcast episodes, and even a virtual conference on September 28th. And the best of all, it’s completely free of charge. Sign up here: https://bit.ly/3sMu8pJ -
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 the factors driving its transformation. He highlights the influence of technology and the role of payments as a catalyst for innovation, improved customer experiences, and personalization in the payment process. The episode concludes with a discussion on the future of payments and the actions payments executives should take to future-proof their strategies.
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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 to digital health initiatives.
Prepare to be enlightened as we uncover the latest trends and advancements propelling the digital health industry forward. Discover the remarkable potential for progress and the direction in which this dynamic industry is heading. Moreover, we will delve into the invaluable contributions that synthetic data in healthcare can make to this ongoing revolution.
This episode offers much more than just a glimpse into the future of digital health. Tune in for actionable advice that will guide your organization toward embracing innovation and achieving success in the realm of digital health.
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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.
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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.
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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.
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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 developmentWhat's the difference between traditional software development and machine learning developmentHow to bring customer understanding into data science and engineeringWhat are the most common traps in data scienceWhy it's essential to work with realistic data instead of picture-perfect datasetsHow 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!
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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.
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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 XAIReid 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.
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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!
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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.
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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 host of the podcast entitled Fintech Daydreaming where he covers fintech topics with his guests from the financial sector.
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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 questions came up about behavioral data, k-anonymity, differential privacy and meaningless privacy guarantees that mask true risks. We talked about the way forward and how true data privacy can be created in practical terms. Tune in for an enlightening conversation that puts a lot of greys into the seemingly black and white world of data privacy!
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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 protection applicable to US signals intelligence activities within the new framework. New safeguards will be implemented to protect citizens' rights while advancing cross-border data flows. The next step is to translate this framework agreement into legal documents that will be put into practice on both sides of the Atlantic. But what does this mean for data privacy in practice? What are the major challenges, and what can we expect in the long run? We spoke to J. Scott Marcus, Senior Fellow at the EU's economic think tank, Bruegel, about the history and future of transatlantic data flows.
Read on to learn how synthetic data can solve cross-border data sharing! - Laat meer zien
