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In the hands of visionary leaders, data isn’t just information. It’s a catalyst for innovation and transformation. But going from information to insights is a struggle for almost every organization – especially when the volume of data keeps growing. Who are the data leaders gaining mastery over their data – and how are they doing it?
The Fivetran Data Podcast digs into these questions and other hot topics like generative AI, enterprise data analytics, and a lot more through insightful interviews with some of the brightest minds across the data community.
To learn more, visit www.fivetran.com/podcast
The Fivetran Data Podcast digs into these questions and other hot topics like generative AI, enterprise data analytics, and a lot more through insightful interviews with some of the brightest minds across the data community.
To learn more, visit www.fivetran.com/podcast
Presentadores:
Frecuencia de actualización:
monthly
Duración media del audio:
23 minutes
Entrevistas a invitados
Tiene patrocinadores
Inglés
Estados Unidos
25 episodios
desde 25 de enero de 2024
episodic
ÚLTIMO EPISODIO 🔗
In this episode, Johnathan Tate, Chief Data Officer at Bridgestone Americas, shares how he navigates the critical first 90 days in a new role, builds trust with executives, and positions data as a strategic growth driver. Whether you’re currently in a CDO seat or working toward one, Tate’s playbook…
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EPISODIOS ANTERIORES 🔗
In this episode, Parag Shah — data leader and transformation expert with experience at Rocket Software and CarGurus — shares how forward-thinking enterprises are modernizing their data infrastructure with unified analytics platforms, best-in-class vendors like Fivetran and Snowflake, and extensible…
In this episode, Fivetran speaks with Paul Bruffett, VP of Enterprise Data & Analytics at Out of the Box Brands, to explore how organizations can truly democratize data, embed AI into everyday decisions, and prepare for a more digital, personalized future. From empowering teams with real-time i…
In this episode, Fivetran speaks with Tim Veil, Principal at Two Bear Capital, to unpack the challenges businesses face in operationalizing AI — and why data strategy, not just data volume, is the key to unlocking real business value.
Read the full show notes at www.fivetran.com/podcast
In this episode, Veronika Durgin, VP of Data at Saks, joins Fivetran’s Kelly Kohlleffel to discuss how businesses can navigate data source chaos, balance build vs. buy decisions, and create adaptable architectures that drive long-term value.
Read the full show notes at www.fivetran.com/podcast
Universities must integrate scalable, automated data solutions to centralize information, reduce inefficiencies, and enhance decision-making, ensuring a seamless, student-centric experience. To discuss how to do just that, Ilia Xheblati, Director of Analytics Engineering at Northeastern University,…
How do enterprise leaders navigate fractured data landscapes and integrate AI into business strategies?
On this episode of The Fivetran Data Podcast, Moin Haque, Head of Enterprise Data, Analytics & AI at International Flavors and Fragrances Inc. (IFF), shares actionable insights into data fe…
With technological innovation accelerating at an unprecedented pace, businesses are challenged to rethink their approach and empower employees to stay competitive. Sadie St. Lawrence, Founder & CEO of the Human Machine Collaboration Institute, joins us to explore how organizations can navigate …
Generative AI has everyone talking, but has that buzz overshadowed the potential of predictive AI? Parag Shah, Senior Director of Data and Analytics at Rocket Software, joins us to discuss the possibilities of taking a hybrid approach to AI, as well as the importance of choosing modern, scalable da…
Fivetran’s Chief Operating Officer Taylor Brown and Chief Product Officer Anjan Kundavaram share their insights on the rapidly changing data landscape and the role of Fivetran’s Hybrid Deployment in addressing today’s security and scalability challenges. They also explore key trends in data managem…
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