A podcast about data innovation, regulations and data privacy. We will bring you exciting and inspiring stories from the frontiers of data and privacy management. Think AI, fairness, privacy-compliance, synthetic data, data literacy, and more. Hosted by Alexandra Ebert, MOSTLY AI's Chief Trust Officer. If you have any suggestions or questions, send a voice recording or an email to podcast@mostly.ai!
Take an organizational deep-dive into the topic of responsible AI with Maria Axente, PwC's Responsible AI lead! You'll hear lots of hands-on advice for decision makers looking to make their company's AI adoption a success from hiring decisions, organizational structures and the new AI mindset of pause and reflect.
Clara is a director at IEEE, the world's largest technical organization founded by Tesla and Edison more than 100 years ago. Today, she is working on developing an ethically aligned design framework to help companies develop safe and effective AI systems. Listen to the 20th episode of the Data Democratization Podcast to find out what the difference is between standards and certifications, what the role of values is in ethically aligned design and what synthetic data and fresh Alpine spring ...
In this episode, Alexandra Ebert, MOSTLY AI's chief trust officer will be talking to one of the founders and the chief data scientist of MOSTLY AI. If you are looking to get a behind-the-scenes view of how data privacy is implemented in practice, you are in the right place! You won't need a math Ph.D. to finally understand how privacy is measured and what is takes to protect personal data. Klaudius is also a huge fan of the concept of open data and talks about how synthetic data is the...
Lisa Palmer is the chief technical advisor of Splunk, the popular data platform designed to remove barriers between data and action. Besides working for Splunk, she is a university professor, a podcast host, and an author. She spent years at Microsoft, Gartner, and Teradata, building up her unique perspective on data and technology-related business opportunities. In this episode, Lisa shares her most exciting insights and data stories around tackling real-life problems with data, including wildf...
In the latest episode of the Data Democratization Podcast, Jim Hu, MOSTLY AI's Data Engineer, talks about the most exciting synthetic data engineering he has been busy doing. Synthetic data is quickly becoming a must-have engineering tool across industries, with new use cases emerging every day. If you want to learn how to leverage synthetic data in insurance and banking, listen to the episode! Learn to maximize synthetic data's business impact: how to increase profit margins in insura...
Claudette McGowan is an award-winning technology leader with a real passion for cybersecurity. In this episode of the Data Democratization Podcast, she shares her personal journey to the cybersecurity field as well as her perspective on the current state of cybersecurity. Listen to the episode to learn more about how the pandemic changed the threat landscape, how companies should prepare for cyberattacks, how data should be managed for maximum security, what is a zero-trust approach, the importa...
Scott, the Data Whisperer, knows a thing or two about proper data management. If you are in the business of making large scale data projects happen, make sure you listen to this episode and learn about creating visibility and getting executive buy-in for your data projects. Find out how to set your data projects up for success from the beginning through master data, metadata, data governance and data stewardship and get great tips on how to tell great data stories.
Amir Tabakovic has lots of experience in developing banking products, and as a chairman of the AI and Data Privacy Experts Group at Mobey Forum, he has a very good overview of privacy best practices and the most common mistakes in the banking industry. Listen to this episode to learn about how to develop customer-centric banking products and take them to market? How can traditional banks compete with neobanks? What is privacy-enhancing technology? How should banks leverage privacy tech for succe...
Behrang Raji is a data privacy officer for the Hamburg Commissioner for Data Protection and Freedom of Information. He is right where legislation happens, knows what drives regulators and has a pretty good understanding of trends and the larger regulatory landscape. Listen to this episode if you are curious about the upcoming European AI regulations, fairness in law and how synthetic data helps fix biases and test AI systems, the most common data anonymization mistakes, data anonymization standa...
NVIDIA is famous for its graphics cards, but NVIDIA's story is so much bigger than this. Their graphics cards have been used to accelerate AI and data science, and now they offer a whole ecosystem of services and tools for companies ready to make AI happen. Listen to the episode to learn about the top AI use cases in finance and insurance and how to make those happen. Questions you will get answers for in this episode: How to implement AI successfully? How does NVIDIA help democratize AI? H...
Nancy Nemes is an AI expert with 20 years of hand-on experience in implementing frameworks as a leader at Microsoft and Google. She is the founder of HumanAIze, an organization that aims to make AI more inclusive. If you are looking for some practical advice on how to implement responsible AI at the moment, then look no more – In this episode you will learn about all the necessary steps to perform ethical AI. What are the most important ethical AI best practices? What does the regulation aspect ...
Nicolas Passadelis is a lawyer and privacy expert who has been leading the Data Governance team at Swisscom for over four years. In this episode of the Data Democratization Podcast, Nicolas shares his best practices of data governance and provides real-life examples of how Swisscom's data ethics board works. The episode contains an amazing collection of actionable takeaways and great answers to the big questions of data governance. For example, how to implement data governance in an enterpr...
Paul Tiwald has been part of the MOSTLY AI team since the beginning. He is the mastermind behind the team's research into fairness and the idea of fair synthetic data. In this episode, you will hear about: what it's like to work in the field of artificial intelligence (spoiler: it's really fun!) how the idea of fair synthetic data came up how to create machine learning models that are private and fair by design why is it so challenging to remove bias from an algorithm what are pro...
We talked to one of Europe's most renowned GDPR and data experts, who shared his insights about the regulatory landscape in Europe and elsewhere and gave excellent advice for lawmakers and companies. In this episode, you will hear more about: recent regulatory developments, including Schrems II, GDPR, and the new AI-regulation proposal from the European Court of Justice why regulation is necessary and timely for AI what companies should do in light of these recent developments how, accordin...
In this action-packed episode, John Frushour, Deputy Chief Information Security Officer at New York-Presbyterian Hospital, shares his best frontline data stories. And data stories don't get any more frontline than his. From fighting the opioid crisis to the COVID-19 emergency in New York, John and his team accomplished superhuman achievements with data. In this episode, you will hear more about: the most useful leadership, data, and technical skills for CISOs how DevOps teams operate and ho...
Ryan is a Senior Data Scientist at Spotify with extensive experience in developing great customer-centric products with the power of data. He is a data consultant and university lecturer, passionate about data science and understanding the business side of things. In this episode you will hear about: How to start building data infrastructure in your organization, no matter the size. How to embed data best practices in your team and how to get the most value out of data science. Actionable advice...
Punit Bhatia was the Privacy and Protection Officer at ING and has tons of experience in managing privacy and data protection in large international environments. In this episode, Punit shares his best strategic advice for those looking to strategize privacy in their organization. You will hear about: the three biggest privacy challenges for enterprises and their solutions whose responsibility should privacy be in an organization for best results why synthetic data is the way forward in data-sha...
In the fourth episode of the Data Democratization pod, we are talking to Sang Shin, serial entrepreneur, investment expert about his adventures in data monetization and he'll share his vision for the future of the data and privacy space. Topics discussed in the episode: How Been Choice, a privacy protection and data monetization app was banned by Apple What is the data privacy landscape like in Southeast Asia in 2021 What are some notable privacy tech innovations How synthetic data made a d...
In this episode, we will be exploring best practices around digital transformations in banking. Rebecca has decades of experience in leading financial institutions and led major transformations during her career. She has a unique, executive-level perspective to share with us about processes, data management, and how AI can be used for fairness. You can find Rebecca through her website.
Our second guest on the show is Nada Bseikri, a privacy pro from Apple Bank, New York. Nada has a unique perspective: she has both a legal and a software engineering background. Thanks to this double role, she can share unique insights into the field of data privacy. Nada shares her best tips for making privacy go beyond compliance, and we'll find out why privacy carrots are important.
What better way to celebrate Data Privacy Day than to have an awesome chat with a seasoned privacy professional who has been in the frontlines of privacy since the dawn of days? Shampa Chatterjee shares her great adventures around the world and in the service of others, as well as her best advice to those looking to create success stories in the field of data privacy. We discussed customer-centricity, privacy tech, automation, synthetic data, and more.
