The Missing Layer in AI: Dr. Joshua Allard on EmpathOS & Emotional #AI

The Missing Layer in AI: Dr. Joshua Allard on EmpathOS & Emotional #AI

Every major AI system today can identify emotion. None of them can actually respond to it.Dr. Joshua Allard — quantum AI researcher, former IBM engineer, and creator of EmpathOS — joins Rabea and Ryan to explain why "sentiment analysis" has hit a ceiling, and what comes next. We get into emotional trajectories, the EKE profile (Experience, Knowledge, Emotion), configurable personas, de-escalation protocols, and why no two instances of an emotionally intelligent AI will ever behave the same way.The conversation widens into quantum supremacy, the encryption threat that's already here, a base-10 photonic architecture Dr. Allard is developing, and whether emotional AI is a bridge between the doomers and the accelerationists — or a new risk of its own.If you've been wondering where AI goes after the LLM plateau, this one's for you.

AI vs. the Billable Hour: A Lawyer's Case for Disrupting His Own Industry | Dave Rosati

What happens when a tech-obsessed corporate lawyer decides the legal profession is stuck in the past? In this episode of Farabi Future Forum, we sit down with Dave Rosati — a 15-year practicing attorney, law firm partner, and co-founder of Succession Wills — to unpack how AI is disrupting one of the most traditional industries on earth. Dave takes us behind the curtain of a profession still running on dictaphones and billable hours, sharing how he went from hacking together Microsoft automations as a junior associate to navigating the high-stakes tension between AI efficiency and legal liability. We dig into the real economics of replacing junior lawyers with LLMs, why the billable hour might be the biggest obstacle to AI adoption in law, and the uncomfortable truth about who's really losing work to ChatGPT right now. Plus, Dave breaks down Succession Wills — his mission to make estate planning accessible, affordable, and actually something people keep up to date — and why the will you wrote ten years ago might be more dangerous than having no will at all. Whether you're in legal, tech, consulting, or just curious about how AI reshapes high-stakes professions, this one's packed with insights you won't want to miss.

AI, Cybersecurity & Open Source: Risks, Innovation, and the Future of MCP

In this 2-hour deep-dive, Rabea Abdelwahab, Ahmed Abugharbia (SANS Institute instructor, founder of Cyber Dojo), and Ryan Fattini explore the evolving intersection of AI, cybersecurity, and open source innovation.Key topics include:The evolution of security from firewalls to cloud to AIDevSecOps and shifting security leftThe changing role of the CISO and executive risk managementAI as both a defense multiplier and an attack surfaceVibe hacking, deepfakes, and AI-powered exploitsOpen source’s role in driving innovation vs. introducing supply chain risksHugging Face, malicious AI models, and enterprise strategiesThe rise of MCP as a standard for AI agent communication and its security challengesThis podcast is for cybersecurity professionals, AI engineers, executives, and anyone interested in how AI is reshaping the security landscape. 🔗 Connect with the Hosts & Guest: # Ahmed AbuGharbia – Cyber Security Practitioner | SANS Certified Instructor - https://www.linkedin.com/in/ahmedabugharbia/ # Rabea Abdelwahab - Farabi - CEO & Fractional CTO | AI Enablement Strategist | LinkedIn Top Voice – https://www.linkedin.com/in/rabeawahab/ # Ryan Fattini – Farabi - CDAO - https://www.linkedin.com/in/ryan-fattini-20202682

#5 - Navigating the Data Landscape: Insights from Ameya Karvir

In this conversation, Ameya Karvir shares his extensive experience in data analytics and media, discussing the challenges and strategies involved in building a data-driven culture. He emphasizes the importance of balancing creativity with data insights, effective communication with executives, and maintaining data quality. Ameya also highlights the evolving role of executives in understanding data, the significance of product management in data projects, and the cultural barriers organizations face in becoming data-driven. The discussion touches on the impact of generative AI on business and the need for a clear vision to leverage its potential. In this conversation, Rabea and Ameya Karvir discuss various aspects of data science, including the importance of mentorship, managing expectations in data projects, the role of basic statistics, and the impact of generative AI on search and SEO. They also touch on decision-making in startups and share rapid-fire insights on data and technology. Chapters00:00 [https://www.youtube.com/watch?v=e8zDcVm1u6s] Introduction to Ameya Karvir's Journey02:32 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=152s] Building a Data Team from Scratch05:34 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=334s] Balancing Creativity and Data in Media07:53 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=473s] Communicating Data Insights to Executives10:50 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=650s] The Role of Data Quality in Business Success13:27 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=807s] The Evolution of C-Suite in a Data-Driven World16:31 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=991s] Managing Large Teams Effectively18:55 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=1135s] The Importance of Data Product Management21:51 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=1311s] Navigating Boardroom Dynamics24:44 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=1484s] Demonstrating the Impact of Data Teams27:22 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=1642s] Cultural Barriers to Becoming Data-Driven29:58 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=1798s] The Role of Gut Instincts in Data-Driven Decisions45:52 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=2752s] The Importance of Domain Knowledge in AI49:20 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=2960s] Small vs. Large Companies: The Generative AI Advantage51:47 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=3107s] Navigating the Generative AI Landscape54:46 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=3286s] Mentorship and Misconceptions in Data59:44 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=3584s] The Underappreciated Role of Statistics01:04:41 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=3881s] The Future of Paid Search with Generative AI01:17:56 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=4676s] The Evolution of SEO in the Age of LLMs01:22:43 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=4963s] Data Strategy for Startups: A Practical Approach01:23:52 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5032s] The New Era of AI and Data Dynamics01:24:00 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5040s] Rapid Fire Insights: Quick Takes on Data01:25:59 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5159s] Data Visualization and Its Importance01:26:50 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5210s] Proudest Data Wins and Lessons Learned01:27:28 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5248s] Pet Peeves in Data Visualization01:28:45 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5325s] Buzzwords and Their Impact on Tech01:29:05 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5345s] The Fun of Solving Data Problems01:31:12 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5472s] The Role of AI in Data Analysis01:33:58 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5638s] Reflections on the Conversation and Insights01:34:09 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5649s] The Importance of Financial Literacy01:34:24 [https://www.youtube.com/watch?v=e8zDcVm1u6s&t=5664s] Final Thoughts and Closing Remarks

#4 - Navigating the Future of Robotics, Automation, and Workforce Transformation w/ Dr. Thomas Evans

In this conversation, Thomas Evans shares his journey from working at NASA to leading AI and automation initiatives in Fortune 200 companies. He discusses the balance between AI and workforce concerns, the current state of generative AI and robotics, and the challenges of large-scale deployment. Evans emphasizes the importance of data strategy, cybersecurity, and the evolving roles of technology and business leaders in the age of AI. He also addresses misconceptions about robotics and the trust factor in autonomous systems, concluding with insights on the future of engineering and technology in business.