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52. Synthetic Data as a Strategic Enterprise Data Asset with AWS' Faris Haddad

Saison 5 · Épisode 52

vendredi 6 juin 2025 • Durée 45:28

Welcome back to season 5 of the Data Democratization Podcast - and our first-ever live studio recording.

In this episode, Alexandra Ebert sits down with Faris Haddad, AWS' Global AI Technical Strategy Lead. Together, they delve into the transformative role of synthetic data in modern enterprises.

Faris shares his journey into the world of synthetic data, highlighting its evolution from a niche solution to a cornerstone of enterprise data strategy. He discusses the challenges organizations face with data silos, legacy systems, and privacy concerns, and how synthetic data offers a pathway to overcome these hurdles.

Whether you're grappling with data accessibility issues or exploring innovative ways to leverage your organization's data assets, this episode offers valuable perspectives on integrating synthetic data into your enterprise data strategy.

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Democratizing AI? Not Without Data Intelligence & Synthetic Data—Ari Kaplan on the Biggest Roadblocks to Scaling AI

Saison 1 · Épisode 51

jeudi 20 février 2025 • Durée 54:00

AI democratization sounds great in theory, but why do so many enterprises struggle to make it work? In this episode, Ari Kaplan, Head of Tech Evangelism at Databricks, breaks down the biggest roadblocks to scaling AI—and what’s needed to overcome them. From data intelligence and synthetic data to why leading enterprises rely on unified data and analytics Platforms to cut costs, reduce governance complexity, and streamline AI adoption—we explore how organizations can move beyond AI pilot purgatory and use AI to drive tangible impact at scale.

Ari dives into the hard truths about AI implementation, including why companies still face governance hurdles, siloed data, and inefficient infrastructure. Ari and I discuss how organizations can get more value from their data, deploy AI responsibly, and use synthetic data to scale securely.

Plus, Ari shares his personal approach to balancing a global career, thought leadership, and content creation—including how he manages to make time for writing books while advising enterprises worldwide. We also discuss his take on social media strategy, the skills he’s encouraging his kids to develop for an AI-driven world, and the future of work in an era of intelligent automation.

If you care about AI democratization, enterprise AI strategy, and staying ahead of the curve, this is an episode you won’t want to miss!

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42. On the future of digital health - and how to get there with Dr. Meshari Alwashmi

Saison 1 · Épisode 42

jeudi 22 juin 2023 • Durée 46:13

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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41. Synthetic data for impact: how to innovate in health insurance with Daniela Pak-Graf, Merkur Innovation Lab

Saison 1 · Épisode 41

jeudi 1 juin 2023 • Durée 51:56

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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40. Synthetic data beyond privacy: data augmentation powered by AI

Saison 1 · Épisode 40

jeudi 11 mai 2023 • Durée 46:03

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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39. What you didn't know about AI transparency with Rania Wazir, co-founder and AI expert

Saison 1 · Épisode 39

jeudi 20 avril 2023 • Durée 52:57

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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38. Building trusted ML products with Karin Schöfegger (Ex-Google & N26)

Saison 3 · Épisode 38

vendredi 17 mars 2023 • Durée 54:42

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 development
What's the difference between traditional software development and machine learning development
How to bring customer understanding into data science and engineering
What are the most common traps in data science
Why it's essential to work with realistic data instead of picture-perfect datasets
How to get buy-in from stakeholders for ethical AI

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37. How to effectively audit AI (and what to do today to get a head start on AI Act compliance)

Saison 3 · Épisode 37

jeudi 23 février 2023 • Durée 52:04

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.

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36. The secrets of building an AI-ready culture with Noelle

Saison 1 · Épisode 36

jeudi 20 octobre 2022 • Durée 50:04

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

Saison 1 · Épisode 35

jeudi 22 septembre 2022 • Durée 52:08

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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