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The Agentic Insider

The Agentic Insider

著者: Iridius.ai Inc
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Welcome to The Agentic Insider. Join host, Phillip Swan, each week to explore cutting-edge ideas and trends in AI and Data as well as hear from other industry thought leaders in the AI space. This podcast is brought to you by Iridius.AI —committed to Safe and Responsible AI innovation.Iridius.ai Inc
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  • Agent Factories vs Solution Factories - The Agentic Insider - Episode #16
    2025/07/24

    AI solution factories vs agent factories: what’s the difference and what should you know about them? Today, Iridius’s AI Technical Fellow, Spencer Bentley, and Chief Technology Officer, Peter Larsen, join to explore how solution factories address broader business applications and multiple users, while agent factories focus on individual, narrowly scoped AI agents. Key topics include the reduction of base coding requirements, operational efficiencies, scalability, compliance, security, and the potential impact of AI deployment in businesses. They also highlight the importance of proper risk management, leveraging standards and regulations, and the value of comprehensive AI solutions for enterprise-grade applications. Finally, the conversation touches on the future direction of AI and the importance of cultural readiness within organizations for adopting AI innovations.

    Takeaways:

    • Embrace AI Innovation: Enterprises should start experimenting with AI technologies to stay competitive. Adopt a structured approach like a solution factory to reduce risks and improve implementation efficiency.
    • Invest in Specialized Agents: Focus on creating agents targeted at specific tasks instead of overloading one agent with multiple functions.
    • Prepare for Compliance: Develop a clear understanding of AI-related regulations and standards, and ensure your AI systems are compliant by integrating these from the start.
    • Foster a Supportive Culture: Assess and work on the organizational culture to ensure it is supportive of AI adoption. Engage and empower employees by clearly communicating the value and purpose behind AI initiatives.
    • Measure and Mitigate Risks: Explicitly model and manage risks at every stage of AI development. Use dynamic entitlements and sandboxing to control and minimize potential issues.
    • Strategic Alignment: Align AI initiatives with broader business goals to ensure cohesive and strategic deployment. Regularly review and adjust AI strategies to remain agile and competitive in evolving markets.


    Quote of the Show:

    • “ Any company that's getting involved in AI at any level is doing the right thing.” - Spencer Bentley

    Links:

    • LinkedIn: https://www.linkedin.com/in/phillip-swan/
    • LinkedIn: https://www.linkedin.com/in/alistaln/
    • LinkedIn: https://www.linkedin.com/in/spencer-bentley-ai/
    • LinkedIn: https://www.linkedin.com/in/peterskjottlarsen/
    • Website: https://iridius.ai/

    Ways to Tune In:

    • Transistor: https://agenticinsider.show/
    • Spotify: https://open.spotify.com/show/2fCCuVl6tL5p2kEAwFCQNJ
    • Apple Podcasts: https://podcasts.apple.com/us/podcast/the-agentic-insider/id1807346381
    • Amazon Music: https://music.amazon.com/podcasts/9fe0482d-d798-4420-a93a-fc6653bce437
    • Podchaser: https://www.podchaser.com/podcasts/the-agentic-insider-6057241
    • YouTube: https://www.youtube.com/@iridiusAI
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    32 分
  • Strategy to Scale: From AI Pilot to Production - Cat Valverde - The Agentic Insider - Episode #15
    2025/07/17

    Why do so many companies struggle with moving beyond AI pilot programs into production? Cat Valverde, Founder of Enterprise AI Solutions, joins The Agentic Insider to provide real, actionable advice on how to ethically and equitably implement AI in your business. Cat shares her unique background and motivation for focusing on ethical AI, driven by her father's telemarketing practices. The discussion covers the complexities of AI implementation in enterprises, the importance of strategy to scale, and the challenges of gaining trust in the rapidly evolving AI landscape. She emphasizes the need for ethical and equitable AI use, suggesting that enterprises should consider upskilling employees and focusing on long-term goals rather than short-term metrics. The episode concludes with rapid-fire questions and insights into Cat's personal interests and upcoming projects.

    Takeaways:

    • Prepare for AI Integration by Building Trust: Building trust is a key factor for adopting AI. Ensure transparent communication and demonstrate reliability to gain buy-in from all stakeholders.
    • Upskill Existing Employees: Rather than resorting to layoffs, invest in upskilling your current workforce to handle new AI technologies. This approach can provide long-term benefits and stability.
    • Evaluate AI Use Cases Carefully: Don't jump on AI trends just because others are doing it. Critically assess whether a particular AI solution addresses a real problem in your business.
    • Measure Time to Value: Focus on leading indicators rather than lagging ones. Track how quickly a new AI implementation can deliver tangible value to your business.
    • Pilot Programs and Feedback: When running AI pilots, frequently review and assess their progress. Abandon unsuccessful pilots early to minimize wasted resources.
    • Collaboration and Discernment in AI: Encourage collaboration between human intelligence and AI. Ensure that staff members are trained to critically evaluate AI outputs rather than taking them at face value.
    • Adopt a Long-Term Perspective: For AI implementation, set and review long-term goals rather than focusing exclusively on quarterly targets.

    Quote of the Show:

    • “Scaling is important, profits are important, that's what business is. But finding a way that it can also be ethically and equitably implemented is the name of the game for everything that we do.” - Cat Valverde

    Links:

    • LinkedIn: https://www.linkedin.com/in/catvalverde/
    • Website: https://www.eais.io/
    • RVSP for our next webinar: enterpriseai.events
    • Subscribe to the daily briefing: enterpriseaisolutions.io

    Ways to Tune In:

    • Transistor: https://agenticinsider.show/
    • Spotify: https://open.spotify.com/show/2fCCuVl6tL5p2kEAwFCQNJ
    • Apple Podcasts: https://podcasts.apple.com/us/podcast/the-agentic-insider/id1807346381
    • Amazon Music: https://music.amazon.com/podcasts/9fe0482d-d798-4420-a93a-fc6653bce437
    • Podchaser: https://www.podchaser.com/podcasts/the-agentic-insider-6057241
    • YouTube: https://www.youtube.com/@iridiusAI
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    42 分
  • AI Singularities: Are We Already There? - Mark Brady - The Agentic Insider - Episode #14
    2025/07/10

    What if we've already lost control? Dr. Mark Brady, Deputy Chief Data Officer of TRMC at KBR Inc., unveils the two AI singularities that could redefine humanity's future. The episode dives into the significance of safe AI, exploring the six laws of safe AI and various facets of AI safety, such as the importance of safety objective functions and the challenges posed by AI evolution and machine learning. The conversation also touches on the applications of AgTech AI in defense and government, and the current capabilities and limitations of autonomous AI agents. To close, Mark shares personal hobbies and offers career advice for aspiring data scientists and future chief data officers.

    Takeaways:

    • Understanding AI Singularities: Familiarize yourself with the concept of AI singularities. Recognize the symptoms and implications of these singularities on society and technology.
    • Safety Objective Functions: Implement safety objective functions in AI systems to ensure they prioritize human safety over other objectives.
    • Tracking Data Lineage: Recognize the challenges in data lineage and strive to improve transparency and understanding of how data flows through systems.
    • AI Creating AI: Ensure that any AI creating other AI systems includes its own safety objective functions in its creations. This prevents the propagation of unsafe AI systems.
    • Human and AI Coexistence: Consider the potential future coexistence of different intelligences, such as biological, machine, augmented biological, and biological augmented machine, and how they might interact and compete.
    • Large Language Models: Keep abreast of the advancements in large language models and their applications. Understand their current limitations and potential for future development.

    Quote of the Show:

    • “If AI is smarter than we are, how are we gonna be able to compete with it? How are we going to be able to make sure something's not going awry? We need AI to help us.” - Mark Brady

    Links:

    • LinkedIn: https://www.linkedin.com/in/mark-brady-18274321b/
    • Website: https://www.kbr.com/en
    • Book Link: https://a.co/d/gtODJjR

    Ways to Tune In:

    • Transistor: https://agenticinsider.show/
    • Spotify: https://open.spotify.com/show/2fCCuVl6tL5p2kEAwFCQNJ
    • Apple Podcasts: https://podcasts.apple.com/us/podcast/the-agentic-insider/id1807346381
    • Amazon Music: https://music.amazon.com/podcasts/9fe0482d-d798-4420-a93a-fc6653bce437
    • Podchaser: https://www.podchaser.com/podcasts/the-agentic-insider-6057241
    • YouTube: https://www.youtube.com/@iridiusAI
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    41 分

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