AI InterConnect Podcast
In this episode, Ryan Hanley, CEO of Task TASKD, discusses how AI can transform regulated industries by creating deterministic, trustable decision systems. He shares insights from his background in blockchain, compliance, and enterprise AI, emphasizing the importance of structured data, decision layers, and practical applications in government and business. key topics Deterministic AI systems in regulated industries Data structuring and knowledge graphs AI adoption challenges and opportunities Regulatory compliance and auditability Practical AI applications in government and enterprise Titles Building Trustable AI Systems for Regulated Industries How Deterministic AI Transforms Compliance and Governance sound bites "This layer ensures decisions are rule-based and auditable." "Public data can uncover governance issues in record time." "Data scattering hampers enterprise AI effectiveness." Chapters 00:00 Introduction to AI Interconnect Podcast 01:02 Ryan Hanley's Journey to Task D 06:19 Understanding Task D's Unique Approach 12:43 The Alberta Government AI Hackathon Case Study 17:28 Challenges in AI Adoption and Accountability 26:33 Future Success and Focus for TaskD Ryan Hanley's LinkedIn - https://www.linkedin.com/in/rhanley/ keywords AI, enterprise AI, deterministic systems, regulated industries, blockchain, compliance, data structuring, decision automation, knowledge graphs, AI adoption, Ryan Hanley, TASKD, deterministic AI, enterprise AI, AI governance, explainable AI, enterprise automation, AI compliance, compliance automation, AI accountability, knowledge graph, enterprise knowledge graph, AI infrastructure, decision intelligence, AI regulation, AI audit trail, enterprise decision making, AI risk management, financial services AI, insurance AI, enterprise data management, AI logic layer, AI governance platform, knowledge management systems, AI transformation, enterprise software, AI compliance software, AI InterConnect podcast, future of AI, enterprise intelligence #AIInterConnect #Podcast #RyanHanley #TASKD #AIInterConnectPodcast #FounderCEO #EnterpriseAI #Leadership #ArtificialIntelligence #AIGovernance #ExplainableAI #DeterministicAI #ComplianceAI #EnterpriseSoftware #KnowledgeGraphs #DecisionIntelligence #AICompliance #EnterpriseAutomation #AITechnology #AIInfrastructure #AIAuditability #AIAgents #MachineLearning #BusinessTechnology #BusinessGrowth #Innovation #DigitalTransformation #EnterpriseLeadership #FutureOfWork #AutomationStrategy #OperationalExcellence #ProductInnovation #ExecutiveLeadership #TechnologyStrategy #BusinessSystems #AIAdoption #Fintech #Insurtech #FinancialServices #InsuranceTechnology #EnterpriseTechnology #GovernmentTechnology #RegTech #ComplianceManagement #RiskManagement #EnterpriseData #KnowledgeManagement Ryan Hanley, Founder & CEO of TASKD, joins AI InterConnect to discuss one of the most important challenges in artificial intelligence today: trust. In this episode, Ryan explains why enterprise AI needs a deterministic decision layer, how knowledge graphs can transform fragmented business data into actionable intelligence, and why explainability, governance, and compliance are becoming essential for organizations deploying AI at scale. We also explore TASKD’s Alberta Government AI challenge, where their platform analyzed millions of records, surfaced governance risks, and demonstrated how AI can provide transparent, auditable decision-making. If you’re interested in enterprise AI, compliance automation, AI governance, knowledge graphs, fintech, insurtech, or the future of AI infrastructure, this episode delivers valuable insights. Subscribe to AI InterConnect for weekly conversations with founders, innovators, and AI leaders shaping the future of business.
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