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Hacker-Centric Cybersecurity and Maximizing ROI in AI Projects: Insights from Hadrian's Jasper and Klaas

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Manage episode 385060569 series 3515340
Inhoud geleverd door Tina Yazdi. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Tina Yazdi of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Engineers and data leads engaged in grassroots AI projects or tackling challenges related to AI headcount, budget, and ROI expectations might find this episode particularly resonates. Hadrian's Klaas Meinke and Jasper Insinger join us to share their experiences in founding AI projects at Hadrian, collaborating across functions, and achieving business ROI in AI deployments.

Klaas, an aerospace engineering graduate from TU Delft, made a significant transition from astronomy research to Hadrian. Recognizing the transformative potential of AI and big data, he has been an integral part of Hadrian for almost a year, working as an AI machine learning engineer and data scientist.

Jasper, a TU Delft electrical engineering graduate, brings his unique background to the conversation. With hands-on experience in solar car engineering and a remarkable win in the Sasol Solar Challenge, he smoothly transitioned into cybersecurity, becoming a founding member of Hadrian's data team.

Key Takeaways:

  1. Mindset: Maintaining the right mindset is crucial role. Technical expertise alone is insufficient, and success hinges on a positive and critical mindset
  2. Taking Ownership: Underscoring the importance of assuming ownership of one's work and refraining from attributing blame to others, teams should focus on proactively seeking opportunities for improvement and drive positive change
  3. Prioritizing Continuous Improvement: The conversation consistently highlights the value of ongoing advancement, stressing the significance of identifying areas for improvement, actively seeking feedback, and striving to enhance output
  4. Embracing Feedback and Constructive Critique: Examples are shared of how soliciting feedback from peers, embracing criticism, and fostering self-critique have played a pivotal role in deploying and validating critical AI deployments
  5. Promoting Teamwork and Collaboration: The discussion indirectly underscores the importance of teamwork and collaboration. The focus on seeking feedback and self-improvement supports a collaborative approach to problem-solving and skill development

Episode References:

Connect with Klaas and Jasper here:

Useful? Let us know with a ⭐️ ⭐️⭐️⭐️⭐️ rating

📺 Watch on Youtube

🔥 Subscribe

📲 Socials
🎙️ The AI-First Business Podcast 🤖 We take you behind the scenes with the leaders and teams writing the playbook on transitioning to an AI-First world

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8 afleveringen

Artwork
iconDelen
 
Manage episode 385060569 series 3515340
Inhoud geleverd door Tina Yazdi. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Tina Yazdi of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Engineers and data leads engaged in grassroots AI projects or tackling challenges related to AI headcount, budget, and ROI expectations might find this episode particularly resonates. Hadrian's Klaas Meinke and Jasper Insinger join us to share their experiences in founding AI projects at Hadrian, collaborating across functions, and achieving business ROI in AI deployments.

Klaas, an aerospace engineering graduate from TU Delft, made a significant transition from astronomy research to Hadrian. Recognizing the transformative potential of AI and big data, he has been an integral part of Hadrian for almost a year, working as an AI machine learning engineer and data scientist.

Jasper, a TU Delft electrical engineering graduate, brings his unique background to the conversation. With hands-on experience in solar car engineering and a remarkable win in the Sasol Solar Challenge, he smoothly transitioned into cybersecurity, becoming a founding member of Hadrian's data team.

Key Takeaways:

  1. Mindset: Maintaining the right mindset is crucial role. Technical expertise alone is insufficient, and success hinges on a positive and critical mindset
  2. Taking Ownership: Underscoring the importance of assuming ownership of one's work and refraining from attributing blame to others, teams should focus on proactively seeking opportunities for improvement and drive positive change
  3. Prioritizing Continuous Improvement: The conversation consistently highlights the value of ongoing advancement, stressing the significance of identifying areas for improvement, actively seeking feedback, and striving to enhance output
  4. Embracing Feedback and Constructive Critique: Examples are shared of how soliciting feedback from peers, embracing criticism, and fostering self-critique have played a pivotal role in deploying and validating critical AI deployments
  5. Promoting Teamwork and Collaboration: The discussion indirectly underscores the importance of teamwork and collaboration. The focus on seeking feedback and self-improvement supports a collaborative approach to problem-solving and skill development

Episode References:

Connect with Klaas and Jasper here:

Useful? Let us know with a ⭐️ ⭐️⭐️⭐️⭐️ rating

📺 Watch on Youtube

🔥 Subscribe

📲 Socials
🎙️ The AI-First Business Podcast 🤖 We take you behind the scenes with the leaders and teams writing the playbook on transitioning to an AI-First world

  continue reading

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