We are thrilled to present a special co-promotion episode, bringing you a dynamic discussion from the Friendly Futurist: Towards Society 5.0 podcast featuring one of Iridius’s Co-Founders, Phillip Swan. Phillip joins Dave Monk to discuss agentic AI, the Iridius mission to provide safe and responsible AI solutions, and the challenges of AI hallucinations. He differentiates between generative AI and agentic AI, emphasises the importance of trust in AI adoption, and shares insights on the future of AI and robotics.

Takeaways:

• Prioritize Safe and Responsible AI: Ensure AI solutions are designed with safety, responsibility, and compliance in mind. This includes adhering to regulations like GDPR and local laws.
• Focus on Customer Value: Center your product or service around delivering real value to customers. Understand their problems deeply and iterate solutions based on their needs.
• Use Paid, Reliable AI Tools: For serious work, invest in paid versions of AI tools for better reliability, features, and support.
• Master Prompt Engineering: Learn how to craft effective prompts for AI tools. Use AI itself to help you write better prompts and continually refine your approach.
• Data Quality is Critical: Good AI depends on good data. Ensure your data is accurate, relevant, and comprehensive.
• Prepare for Change: The pace of change in AI and technology is unprecedented. Be ready to adapt quickly and embrace new opportunities.
• Build for Trust: Whether for consumers, businesses, or governments, trust is foundational. Build systems and processes that reinforce trust at every level.

Chapters:

00:00 - Introduction to Agentic AI and Iridius

01:21 - Iridius' Mission and Market Reception

04:28 - Understanding AI Hallucinations and Mitigation Strategies

08:19 - Generative AI vs. Agentic AI

11:10 - The AI Hype Cycle and Future Trends

15:01 - The Role of Trust in AI Solutions

17:48 - Passion and Career in Technology

21:53 - Delivering Value to Customers

23:26 - The Future of AI and Robotics

26:05 - Agentic AI: Entitlements and Safety

28:31 - Operational Efficiency and the Future of Work

31:21 - Learning and Engaging with AI

Links:

• The Friendly Futurist: https://pod.co/the-friendly-futurist-1
• LinkedIn: https://www.linkedin.com/in/dave-monk-mphil-cpm/

Make sure to check out our Substack: https://theagenticinsider.substack.com/

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
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• YouTube: https://www.youtube.com/@iridiusAI

How can AI be a factor in creating positive social impact?

Dhaval Patel, Co-Founder and Chief AI Officer at AI4Purpose Inc., joins the show to talk about the transformative potential of AI in healthcare and life sciences. With over 20 years of experience in data science and AI, Dhaval shares his personal journey and discusses the current state of AI adoption, its challenges, and the opportunities it presents in various industries. He highlights the importance of responsible AI innovation and the role of autonomous agents in enhancing human decision-making. The discussion also dives into his involvement with the European Conference on Artificial Intelligence and the mission of AI4Purpose in fostering innovation and social impact.

Takeaways:

• Embrace AI as a Trusted Partner: View AI and data technologies as tools to augment human decision-making, not as threats. Seek ways to integrate them responsibly into your work and life.
• Accelerate Innovation in Your Field: Break down silos and leverage AI to speed up processes in any industry. Look for opportunities where technology can make a meaningful impact.
• Foster Responsible AI Adoption: Prioritize ethical, safe, and socially beneficial uses of AI. Advocate for strong governance, transparency, and human oversight in AI projects.
• Invest in Learning and Mentorship: If you’re early in your career, seek mentors and networks to guide your path in data science and AI. If you’re experienced, consider mentoring others to help the next generation of leaders.
• Prepare for AI Readiness: Ensure your organization has a clear AI roadmap, invests in clean and well-governed data, and involves employees in the transformation process.
• Promote Human-AI Collaboration: Encourage systems and workflows where AI augments human creativity, productivity, and decision-making, rather than replacing people.
• Adopt a Growth Mindset: Be open to learning about new AI tools and approaches. Participate in hackathons, workshops, and conferences to stay current and connected.

Quote of the Show:

• “I want them to inherit a future where technology amplifies their capital, their potential. I don't want the technology to cripple their thinking and the potential that they have.” - Dhaval Patel

Chapters:

00:00 - Introduction to The Agentic Insider

00:33 - Guest Introduction: Dhaval Patel

01:17 - The Future of AI and Data

02:14 - AI in Healthcare and Life Sciences

02:53 - Personal Story and Motivation

06:08 - AI for Purpose: Mission and Vision

07:08 - Career Journey and Mentorship

10:08 - Pivotal Moments in Career

14:45 - AI in Finance vs. Healthcare

18:26 - Evolution of Agentic AI

21:59 - AI Curiosity in Non-Healthcare Sectors

22:38 - Healthcare's AI Adoption Journey

23:24 - Involvement in European AI Conference

25:48 - Global Perspectives on AI

28:10 - AI Readiness and Challenges

35:51 - Autonomous AI Agents in Various Industries

38:13 - Excitement and Concerns About Agentic AI

41:21 - Rapid Fire Questions and Conclusion

Links:

• LinkedIn: https://www.linkedin.com/in/dhaval-patel-data-scientist/
• Website: https://ai4purpose.com/
• Website: https://www.sas.com/en_us/home.html#

Make sure to check out our Substack: https://theagenticinsider.substack.com/

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
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• Podchaser: https://www.podchaser.com/podcasts/the-agentic-insider-6057241
• YouTube: https://www.youtube.com/@iridiusAI

How can we make AI tools and education more widely available for all?

Tess Posner, the Co-Founder and interim CEO of AI4All joins the show today to dive into AI education. Tess is a multi-award-winning entrepreneur and an advocate for making the benefits of AI widely accessible and ethically applied. Tess discusses the origins and mission of AI4All, emphasizing the importance of AI literacy, inclusion, and ethical considerations in technology. She shares insights on current educational practices, the excitement and challenges surrounding AI applications in healthcare, and the significant role young people play in shaping the future of AI. The episode concludes with rapid-fire questions exploring Tess’s personal inspirations and activities, highlighting her passion for music and mountain biking.

Takeaways:

• Advocate for Inclusive AI: Support efforts to make AI education and opportunities accessible to all, especially underrepresented groups, to ensure the benefits of AI are widely shared.
• Promote AI Literacy: Strive to understand not just how to use AI tools, but also how they work, their limitations, and their potential impact. Critical thinking and discernment are essential skills in the age of AI.
• Be Mindful of AI Bias: Recognize that AI systems can reflect and amplify societal biases. Always question the data and criteria used in AI-driven decisions, especially in sensitive areas like hiring and healthcare.
• Embrace Human-AI Collaboration: Use AI as a tool to augment and amplify human abilities. Focus on how AI can support unique human contributions and creativity.
• Prepare for the Future of Work: Develop skills in managing and overseeing AI systems, as well as adaptability, problem-solving, and executive function skills. The workforce is evolving, and being able to work alongside AI is increasingly important.
• Support Transformative Education: Encourage educational systems to focus on building critical thinking, adaptability, and project-based learning to prepare students for an AI-integrated world.
• Engage in Responsible AI Development: When building or using AI solutions, always consider the ethical implications and conduct impact assessments to understand who might be affected, especially marginalized groups.

Quote of the Show:

• “I think the future is ours to shape, and we have to be thoughtful about who is most impacted and how we can support them through this transition.” - Tess Posner

Chapters:

00:00 - Introduction to Agentic Insider

00:33 - Meet Tess Posner: AI Advocate and Educator

02:10 - Founding AI for All: The Origin Story

04:43 - AI Ethics: Evolution and Current Challenges

13:08 - The Future of AI in the Workplace

18:18 - AI and Creativity: Opportunities and Concerns

22:05 - Addressing AI Bias: Real-World Implications

25:55 - Exploring the Role of AI: Help or Hindrance?

26:22 - Understanding Agentic AI and Its Challenges

32:03 - AI Literacy: Essential Skills for the Future

34:52 - Transforming Education for an AI-Integrated World

44:11 - Rapid Fire Questions with Tess Posner

46:16 - Conclusion and Contact Information

Links:

• LinkedIn: https://www.linkedin.com/in/tessposner/
• Website: https://ai-4-all.org/

Make sure to check out our Substack: https://theagenticinsider.substack.com/

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
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• YouTube: https://www.youtube.com/@iridiusAI

What does the future of AI regulation look like?

Today, we delve into revolutionary concepts surrounding AI and data with Peter Larsen (Chief Technical Officer) and Spencer Bentley (AI Technical Fellow). The discussion highlights the importance of training AI agents to operate safely within enterprises, emphasizing entitlements and permissions to prevent risks. The episode also covers the significance of four recently filed provisional patents, which include developing a scalable multi-agent system, ensuring agentic entitlements, and understanding compliance through a semantic compliance compiler. The conversation wraps up with an exploration of how these innovations will empower enterprises to rapidly iterate, innovate, and remain compliant, promising a safer and more efficient future in AI.

Takeaways:

• Public and Employee Safety is Paramount: In regulated industries, prioritize solutions that protect both public and employee safety, reducing reputational and operational risks.
• Human Intent Matters: Even with the best technology, success depends on good ideas and intent. Technology is an enabler, not a substitute for thoughtful leadership and creativity.
• Democratize Innovation: Build platforms and tools that empower more people in your organization to experiment and innovate safely, reducing barriers to trying new ideas.
• Enable Rapid, Safe Iteration: Adopt systems and processes that allow for fast innovation and iteration, but always within a framework that ensures safety, compliance, and reliability.
• Move Beyond Rapid Prototyping for Production: While “vibe coding” (quick prototyping) is useful for experimentation, ensure that production systems are built with enterprise-grade safety, compliance, and structure.
• Harmonize and Navigate Regulations: Stay informed about global and local AI regulations. Use tools and frameworks that help harmonize compliance across jurisdictions and overlay company-specific standards.
• Leverage Modular, Scalable Architectures: Design multi-agent systems using modular building blocks (like containers) that can scale from small to internet-scale deployments, while maintaining safety and oversight.

Quote of the Show:

• “ If all of that compliance and all of that safety is being handled for you, then really it's up to you to develop and build, and you're only limited by your own creativity at that point.” - Alistair Lowe-Norris

Chapters:

00:00 - Introduction: Training AI Agents

00:26 - Welcome to Agentic Insider

00:59 - Discussing Provisional Patents

03:48 - The Importance of IP Protection

05:46 - Exploring the Multi-Agent System Fabric

10:09 - Agentic Entitlements and Security

17:53 - Semantic Compliance and Document Handling

25:52 - The Iridius Solution Factory

32:35 - Future of AI and Final Thoughts

37:30 - Conclusion and Wrap-Up

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/

Make sure to check out our Substack: https://theagenticinsider.substack.com/

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
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• Podchaser: https://www.podchaser.com/podcasts/the-agentic-insider-6057241
• YouTube: https://www.youtube.com/@iridiusAI

What does the future of responsible AI and quantum hold? Uli Homann, Corporate Vice President at Microsoft, joins today to dive into some huge topics in the industry. With over 35 years at Microsoft, Uli shares invaluable insights into AI, big data, and the future of technology. Topics covered include Microsoft's AI strategy, the paradigm shift in AI, responsible AI, the potential of quantum computing, and the impact of AI on industry and society. Uli also emphasizes the importance of a responsible AI charter, organizational readiness, and the integration of AI into business processes to achieve tangible outcomes. Listeners will gain a deeper understanding of AI's transformative power and practical advice on implementing AI effectively.

Takeaways:

• Define Your AI Charter: Before going "big" with AI, establish a clear public charter outlining what your company will and will not do with AI.
• Prioritize Business Needs Over Platform Building: Focus on building applications (apps) with AI that add immediate business value, rather than spending excessive time building an AI platform from scratch.
• Establish Independent Escalation Paths for AI Concerns: Create organizational structures that allow employees to raise concerns about uncomfortable AI use scenarios without fear of reprisal from their direct management.
• Address Data Readiness and Security: Prioritize getting your data in order, ensuring you have the right, sufficient, and accessible data, and implementing robust security models for AI capabilities.
• Understand When to Use AI vs. Traditional Code: Use AI for tasks where the outcome is unclear and requires reasoning or plan-building (e.g., trip planning, marketing plans), but stick to traditional code for fixed, deterministic, and repetitive processes.
• Anticipate the Rise of Physical AI and Humanoids in Manufacturing: Be aware of the increasing role of robotics and humanoids in factories, driven by AI, to address labor shortages and dangerous conditions.
• Shift Human Roles from Operator to Supervisor in Industrial Settings: As AI becomes the "operator" for tasks like configuring refineries, humans will transition to supervisory roles, focusing on security, safety, and optimization.

Quote of the Show:

• “ Without the people, AI won't be able to do anything for quite some time, if ever.” - Uli Homann

Links:

• LinkedIn: https://www.linkedin.com/in/ulrichhomann/
• Website: https://www.microsoft.com/en-us/

Make sure to check out our Substack: https://theagenticinsider.substack.com/

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
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• YouTube: https://www.youtube.com/@iridiusAI

“You need human-in-the-loop activities cause AI is still not that good yet.” Joining the podcast today is Doug Shannon, a two-time Top 25 thought leader and member of Forbes Technology Council to discuss the future he envisions with AI, emphasizing responsible data sharing and the educational approach in AI innovation. He explores the concepts of establishing AI centers of enablement, integrating diverse teams, and the importance of human oversight in AI-driven environments. Doug shares his insights into balancing automation with human oversight, the significance of transparency and clarity in deploying AI, and the critical role of ontology and taxonomy in understanding and leveraging data. The discussion also covers the Magi system, a framework Doug proposes for ensuring compliance and trust in AI systems, and the ethical considerations enterprises must address when integrating AI solutions. The episode culminates in rapid-fire questions about AI collaboration and Doug's vision for his legacy in intelligent automation.

Takeaways:

• Embrace Collaboration: Actively collaborate within your organization and with external partners to better understand and utilize AI. As AI technology evolves, collaborative efforts can accelerate learning and implementation.
• Foster a Culture of Knowledge Sharing: Encourage a culture where information and best practices are freely shared among team members. This can drive greater innovation and improvements in AI-related projects.
• Balance Human and AI Roles: Develop strategies to balance automation with human oversight, particularly in high-risk and highly regulated industries. Feeding AI with quality data and maintaining human context in the decision loop can ensure better outcomes.
• Focus on Ethical Considerations: Ensure AI deployments comply with regulatory standards and ethical guidelines. Intellectual property and data management are important areas to monitor closely for compliance and protection.
• Utilize AI Thought Leadership: Engage with thought leaders and industry experts to gain insights and stay updated with the latest trends and best practices in AI and automation.
• Plan for Autonomous Systems: Begin developing strategies for integrating multi-agent systems and autonomous enterprise models. Prioritize initiatives that create centers of enablement within the organization for greater effectiveness.

Quote of the Show:

• “The hope is that we learn and we dive in to use AI because if you don't use it, you don't really have a voice. And if you haven't used it, you don't really know what you're up against.” - Doug Shannon

Links:

• LinkedIn: https://www.linkedin.com/in/doug-shannon/
• Newsletter: https://www.linkedin.com/newsletters/brewing-insights-7124563088439197696/
• Podcast: https://youtube.com/playlist?list=PLivd8WaRu-XnT0kiQTmTAXQ2e5gloVLvp&feature=shared

Make sure to check out our Substack: https://theagenticinsider.substack.com/

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
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• YouTube: https://www.youtube.com/@iridiusAI