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Data Democratization: Stories about data, AI and privacy

Data Democratization: Stories about data, AI and privacy

MOSTLY AI

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 [email protected]!

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Top 10 Data Democratization: Stories about data, AI and privacy Episodes

Goodpods has curated a list of the 10 best Data Democratization: Stories about data, AI and privacy episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Data Democratization: Stories about data, AI and privacy for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Data Democratization: Stories about data, AI and privacy episode by adding your comments to the episode page.

Data Democratization: Stories about data, AI and privacy - 31. How to get value out of PETs in banking with Ville Sointu

31. How to get value out of PETs in banking with Ville Sointu

Data Democratization: Stories about data, AI and privacy

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04/27/22 • 49 min

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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Data Democratization: Stories about data, AI and privacy - 22. The future of insurance with David Marock, insurtech and fintech expert

22. The future of insurance with David Marock, insurtech and fintech expert

Data Democratization: Stories about data, AI and privacy

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12/16/21 • 77 min

What does the future hold for the insurance industry? In the latest episode of the Data Democratization Podcast, our host, Alexandra Ebert talked to David Marock, a seasoned insurtech, fintech and proptech expert from London. David shared his insights on the state of AI in the insurance industry and what are the current trends developing in the insurtech space. In this episode you will hear about AI opportunities in insurance, why traditional insurance companies are tech hesitant, how to overcome the tech inertia in insurance organizations, how regulatory pressure is changing minds about digital transformation, why fairness is critical for insurance companies, how synthetic data solves data access and privacy issues, what to do about less tech-savvy business leaders and why the future of insurance will be driven by new technologies.

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Data Democratization: Stories about data, AI and privacy - 21. Responsible AI by design with Maria Axente, PwC UK

21. Responsible AI by design with Maria Axente, PwC UK

Data Democratization: Stories about data, AI and privacy

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12/02/21 • 85 min

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.

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Data Democratization: Stories about data, AI and privacy - 6. Data-driven product development with Ryan McCabe, Senior Data Scientist at Spotify, Stockholm
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04/19/21 • 44 min

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 on how to scale machine learning in your organization through making data accessible and automating data access processes.
  • Data protection is a true differentiator in today’s market. You don’t need to use
    personal data for data science and fake users are better than real ones for testing your
    ideas.
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Data Democratization: Stories about data, AI and privacy - 35. Striking a balance - a conversation about privacy with Meta's Pedro Pavón

35. Striking a balance - a conversation about privacy with Meta's Pedro Pavón

Data Democratization: Stories about data, AI and privacy

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09/22/22 • 52 min

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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Data Democratization: Stories about data, AI and privacy - 2. Privacy tips and tricks from Nada Bseikri, VP and Privacy Officer of Apple Bank, New York
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02/11/21 • 34 min

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.

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Data Democratization: Stories about data, AI and privacy - 1. Celebrating Data Privacy Day with Shampa Chatterjee, Director of Data Privacy at Silicon Valley Bank
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01/21/21 • 40 min

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.

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Data Democratization: Stories about data, AI and privacy - 24. The EU roadmap for AI with Axel Voss, MEP

24. The EU roadmap for AI with Axel Voss, MEP

Data Democratization: Stories about data, AI and privacy

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01/13/22 • 61 min

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 talked to us about:

  • why the GDPR is due for an update
  • what the future of data protection holds
  • how the EU should compete globally in AI and digital innovation
  • why access to high-quality data is so important
  • how synthetic data can help bridge the gap between data protection and data-driven innovations
  • what the upcoming European AI-regulation will look like

If you would like to learn more about the legislative privacy landscape around GDPR and the upcoming AI regulations, listen to one of our previous conversations with Axel von dem Bussche, GDPR, the new European AI regulation, and the privacy landscape.

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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 dataflows? And why should the EU might consider to stop relying on the Brussels Effect and instead get down on the negotiation table? Tune in to this conversation with Andrea Renda, a Senior Research Fellow at the Center for European Policy Studies (CEPS) and Advisor to the European Parliament, to learn more about the geopolitical battle on data, AI and digital policies.

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In episode 2 of the new season, Alexandra Ebert chats with Daragh Morrissey, Microsoft’s Director of AI for Worldwide Financial Services, recorded live at Money2020 US. Daragh offers a global perspective on AI adoption in financial services, highlighting unique strategies and challenges faced by institutions worldwide. He explains why Canada and Australia stand out in AI progress and why succeeding with Gen AI requires financial institutions to shift from over-strategizing to focusing on tangible outcomes.
Daragh also shares insights on impactful AI applications in financial services, from automating contact centers to upselling, enhancing customer relationships, and modernizing legacy code. Lastly, Alexandra and Daragh take a look at the future of work and the role autonomous agents might play. They also debate whether AI will free up advisors time and whether, as a result, banks will have many more human advisors, or if the future of personalized banking will be more automated, yet transformative in enhancing individual financial health and fostering greater inclusivity.
Daragh’s compelling anecdotes and strategic insights make this episode a must-listen for anyone interested in AI’s future in financial services.
Table of Contents:

  • 0:00 - 2:39 Introduction to the Episode and Guest
  • 2:39 - 4:42 Daragh's Role and Microsoft's AI Approach in Financial Services
  • 4:42 - 6:37 Patterns in Successful AI Adoption Globally
  • 6:37 - 8:20 Gen AI Adoption: Early Success Stories and Lessons Learned
  • 8:20 - 10:59 Overcoming Challenges: Moving Beyond Perfectionism in AI Projects
  • 10:59 - 12:14 The Shift in Financial Services AI Use Cases
  • 12:14 - 14:36 Regional Differences in AI Approaches in Financial Services
  • 14:36 - 17:55 AI Use Cases in Financial Services: From Advisors to Autonomous Agents
  • 17:55 - 20:00 Ethical Challenges and Responsible AI in Financial Services
  • 20:00 - 23:25 The Future of Financial Services AI: Customer Relationship Innovations
  • 23:25 - 27:32 Expanding Financial Inclusion with AI and Responsible AI Practices
  • 27:32 - 29:41 Closing Thoughts on AI’s Impact on Financial Services
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FAQ

How many episodes does Data Democratization: Stories about data, AI and privacy have?

Data Democratization: Stories about data, AI and privacy currently has 50 episodes available.

What topics does Data Democratization: Stories about data, AI and privacy cover?

The podcast is about Management, Podcasts, Technology and Business.

What is the most popular episode on Data Democratization: Stories about data, AI and privacy?

The episode title '35. Striking a balance - a conversation about privacy with Meta's Pedro Pavón' is the most popular.

What is the average episode length on Data Democratization: Stories about data, AI and privacy?

The average episode length on Data Democratization: Stories about data, AI and privacy is 53 minutes.

How often are episodes of Data Democratization: Stories about data, AI and privacy released?

Episodes of Data Democratization: Stories about data, AI and privacy are typically released every 16 days, 6 hours.

When was the first episode of Data Democratization: Stories about data, AI and privacy?

The first episode of Data Democratization: Stories about data, AI and privacy was released on Jan 21, 2021.

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