Velkommen til BearingPoint Talks! Vår egen podcast der vi diskutere ulike relevante temaer knyttet til hvem vi er og hva vi jobber med i Norge.
Musikk: Christian Aalby Svalesen (www.christianaalbysvalesen.com)

by BearingPoint
Velkommen til BearingPoint Talks! Vår egen podcast der vi diskutere ulike relevante temaer knyttet til hvem vi er og hva vi jobber med i Norge. Musikk: Christian Aalby Svalesen (www.christianaalbysvalesen.com)
Language
🇳🇴
Publishing Since
8/23/2021
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

May 8, 2026
<p>Why do centralized data teams stop scaling? And what comes next? </p><p>In this episode of BearingPoint Talks, we dive into distributed data organizations with people who have actually built them.</p><p> </p><p>Podcast host Julie Lovise Tiller Berger is joined by Stian Tokheim (Senior Manager at BearingPoint) and Xavier Gumara Rigol (Head of Data at Manychat and author of the book "Data as a Product Driver"). Together, they discuss where centralized models typically break down, what actually works in distributed setups, and why generative AI raises the bar for data quality, documentation and data products. The episode also features concrete lessons from Oda and other fast‑growing companies that have moved beyond traditional, centralized data models.</p><p>If you are ready to raise the bar for your data organization, this episode is for you!</p>

April 10, 2026
<p>Hva er MCP (Model Context Protocol), og hvorfor har det fått så mye oppmerksomhet i AI-miljøet?</p><p> </p><p>I denne episoden av BearingPoint Talks forklarer Kristian Ertresvåg og Osama Abidi hva MCP er, og hvorfor standardisering av AI-integrasjoner har blitt et viktig tema for data- og plattformteam. Episoden tar også for seg vanlige misforståelser, begrensninger og hva man bør være bevisst på før MCP tas i bruk i egne løsninger.</p><p> </p><p>Les artikkelen basert på episoden på bearingpoint.no.</p>

December 20, 2024
BearingPoint experts Arne Rustad, Lars Bentsen, and Sigurd Opdal Eidem delve into the transformative power of Transformers, exploring its architecture, applications, and future implications for AI advancements.
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
unknown
Guest
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
Velkommen til BearingPoint Talks! Vår egen podcast der vi diskutere ulike relevante temaer knyttet til hvem vi er og hva vi jobber med i Norge.
Musikk: Christian Aalby Svalesen (www.christianaalbysvalesen.com)
This podcast updates bi-weekly.
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Information about guest appearances is not available.
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.