20 Folgen

A podcast about data and data privacy from a tech startup, MOSTLY AI. 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 Jeffrey H. Dobin, synthetic data expert, and Alexandra Ebert, Chief Trust Officer. If you have any suggestions or questions, send a voice recording or an email to podcast@mostly.ai!

Data Democratization: Frontline stories about data and privacy MOSTLY AI

    • Technologie

A podcast about data and data privacy from a tech startup, MOSTLY AI. 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 Jeffrey H. Dobin, synthetic data expert, and Alexandra Ebert, Chief Trust Officer. If you have any suggestions or questions, send a voice recording or an email to podcast@mostly.ai!

    20. Ethically aligned design in AI with IEEE's Dr. Clara Neppel

    20. Ethically aligned design in AI with IEEE's Dr. Clara Neppel

    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 water have in common! 

    • 1 Std. 8 Min.
    19. How to implement data privacy? A conversation with Klaudius Kalcher, cofounder and chief data scientist of MOSTLY AI

    19. How to implement data privacy? A conversation with Klaudius Kalcher, cofounder and chief data scientist of MOSTLY AI

    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 way forward for realizing the potential of open data sharing for research and innovation. 

    • 1 Std. 7 Min.
    18. Data in action with Lisa Palmer from Splunk

    18. Data in action with Lisa Palmer from Splunk

    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 wildfires and F1 racing, how privacy-enhancing technologies like homomorphic encryption and synthetic data can be used for social good, why we need truly complete datasets to address biases, the role synthetic data plays in ethical AI and bias mitigation, how to increase diversity, especially in tech and how to think about data opportunities in times of disruption and opportunity.
    Check out the transcript for this episode and all previous episodes of the Data Democratization Podcast at our website! 

    • 53 Min.
    17. Synthetic data engineering in insurance and banking

    17. Synthetic data engineering in insurance and banking

    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 insurance using synthetic datahow to maximize the lifetime revenue of a loanhow to detect suspicious transactions and prevent fraudhow to estimate credit risk using machine learninghow to unlock transaction data for AI trainingwhy synthetic data is superior to legacy data anonymization techniquesoptimize software testing processescreate personalized banking experiences

    • 46 Min.
    16. The cybersecurity perspective: TD Bank's Claudette McGowan

    16. The cybersecurity perspective: TD Bank's Claudette McGowan

    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 importance of privacy-safe data sharing, why data literacy is important, why cybersecurity is an amazing career option and where you can learn about cybersecurity. Also, don't forget to check out Claudette's podcast, the Cyber Suite, to elevate your everyday cyber literacy!  

    • 31 Min.
    15. Data best practices with Scott Taylor, the Data Whisperer

    15. Data best practices with Scott Taylor, the Data Whisperer

    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. 

    • 48 Min.

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