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Decision Intelligence and AI with Priceline Co Founder Paul Breitenbach

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Inhalt bereitgestellt von Execucom. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Execucom oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode of Building the Base, Lauren Bedula and Hondo Geurts chat with Paul Breitenbach, co-founder of Priceline and founder of R4, a company focused on AI technology. Paul shares his journey from being a musician in New Jersey to a successful tech entrepreneur, highlighting his unconventional path into computer science. He emphasizes the importance of team culture and strategy in driving success, drawing parallels between the internet era and the current AI revolution. Paul discusses R4's transition from commercial to government contracts, particularly in the defense sector, and the challenges and opportunities it presents.

The conversation delves into the evolution of AI technology, from body shop toolkits to decision intelligence, and its impact on various industries. Paul also addresses common misconceptions about AI, emphasizing problem definition over data accumulation and the role of human expertise in conjunction with AI technology.

Key Takeaways

1. Problem Definition Over Technology Focus: Paul stresses the importance of clearly defining problems and desired outcomes when implementing AI solutions, advocating for a user-centric approach rather than getting bogged down by technical details.

2. Team Culture and Collaboration: Drawing from his experience at Priceline, Paul underscores the significance of team culture in achieving success, emphasizing the value of collaboration and diversity in driving innovation.

3. AI's Evolution and Impact: Paul traces the evolution of AI technology from its early stages to its current phase of decision intelligence, highlighting its potential to revolutionize industries by enabling predictive capabilities and informed decision-making.

4. Talent Acquisition and Unconventional Sources: Contrary to common assumptions, Paul believes that talent can be found in unconventional places and advocates for tapping into overlooked programs and individuals with diverse backgrounds and skill sets.

5. Defense Community's Potential: Paul expresses confidence in the capabilities of the defense community, noting their adaptability and resourcefulness in leveraging technology to enhance operational efficiency and effectiveness.

  continue reading

54 Episoden

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iconTeilen
 
Manage episode 420733727 series 3336887
Inhalt bereitgestellt von Execucom. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Execucom oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode of Building the Base, Lauren Bedula and Hondo Geurts chat with Paul Breitenbach, co-founder of Priceline and founder of R4, a company focused on AI technology. Paul shares his journey from being a musician in New Jersey to a successful tech entrepreneur, highlighting his unconventional path into computer science. He emphasizes the importance of team culture and strategy in driving success, drawing parallels between the internet era and the current AI revolution. Paul discusses R4's transition from commercial to government contracts, particularly in the defense sector, and the challenges and opportunities it presents.

The conversation delves into the evolution of AI technology, from body shop toolkits to decision intelligence, and its impact on various industries. Paul also addresses common misconceptions about AI, emphasizing problem definition over data accumulation and the role of human expertise in conjunction with AI technology.

Key Takeaways

1. Problem Definition Over Technology Focus: Paul stresses the importance of clearly defining problems and desired outcomes when implementing AI solutions, advocating for a user-centric approach rather than getting bogged down by technical details.

2. Team Culture and Collaboration: Drawing from his experience at Priceline, Paul underscores the significance of team culture in achieving success, emphasizing the value of collaboration and diversity in driving innovation.

3. AI's Evolution and Impact: Paul traces the evolution of AI technology from its early stages to its current phase of decision intelligence, highlighting its potential to revolutionize industries by enabling predictive capabilities and informed decision-making.

4. Talent Acquisition and Unconventional Sources: Contrary to common assumptions, Paul believes that talent can be found in unconventional places and advocates for tapping into overlooked programs and individuals with diverse backgrounds and skill sets.

5. Defense Community's Potential: Paul expresses confidence in the capabilities of the defense community, noting their adaptability and resourcefulness in leveraging technology to enhance operational efficiency and effectiveness.

  continue reading

54 Episoden

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