Episodes: 96
Frequency: Irregular
Rating: 4.7/5.0
Estimated listeners: 100 - 1,000
Listener location: USA
YouTube: 895 subscribers
Publicly listed emails
hello@tonyphoang.com
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Dr. Tony Hoang - Host and interviewer focused on artificial intelligence, machine learning, and data science.
Kamal Hathi - AI Agent Governance, Verification And Trust, Small And Local AI Models, Cost Efficiency, And Autonomous Software Agents
Hao Yang - AI Evaluation, Model Reliability, Prompt Injection, Time-series Data, Model Routing, And Guided Autonomy
Mangesh Pimpalkhare - AI Observability, Telemetry, Data Fragmentation, Context Failures, Governance, And Control Of Autonomous Agents
Johan Land - Edge AI, Physical-world Applications, Frontline Worker Augmentation, Computer Vision, And Autonomous Systems
Ketan Karkhanis - Ai-powered Analytics, Enterprise Data Governance, Agentic Workflows, Business Intelligence, And The Future Of Data Teams
Interview #95 Jeff McMillan, founder of McMillanAI and former CAIO at Morgan Stanley
October 12, 2026
Jeff McMillan, founder of McMillanAI and former Chief AI Officer at Morgan Stanley, breaks down why most of today's 70,000 AI companies will not survive: anyone can build a polished product in a weekend, so the only durable edge is proprietary data and deep domain expertise. He explains why AI will reprice traditional software rather than kill it, and why handing out Copilot and expecting ROI is like giving fifth graders calculators and asking why they aren't accountants yet. Jeff als...
Interview #94 Kamal Hathi, SVP and GM, Splunk at Cisco
October 02, 2026
Kamal Hathi, SVP and GM of Splunk at Cisco, breaks down why intent is never enough to control an AI agent: agents are ruthless goal seekers, and asking one to free up 3 percent of disk space can end with 97 percent free because nobody said keep the rest. He explains why trust means verification rather than instruction, and why it includes the invoice, comparing it to hiring a contractor you trust to build a house that stands without emptying your bank account. Kamal also digs into why the rus...
Interview #93 Hao Yang, VP and Head of AI, Splunk at Cisco
October 01, 2026
Hao Yang, VP and Head of AI at Splunk, breaks down why sampling an AI system's output cannot earn trust: a fraction of ten thousand probabilistic calls will be wrong, and a spot check is unlikely to find them. He explains why a small model can grade a frontier model reliably inside a narrow context but not outside one, and why prompt injection follows from the architecture rather than being a bug, since following instructions is how these systems work. Hao also digs into why time series i...
Decoding AI for Marketing · Medium booking difficulty · 100 - 1,000 listeners
The Artificial Intelligence Podcast is hosted by Dr. Tony Hoang. Its publicly listed email is hello@tonyphoang.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.
The publicly listed email for The Artificial Intelligence Podcast: hello@tonyphoang.com.
Podseeker estimates The Artificial Intelligence Podcast reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.
The Artificial Intelligence Podcast typically books industry leaders. Typical guest background: Senior executives and established practitioners in artificial intelligence, machine learning, data science, enterprise software, analytics, or related technology fields, particularly leaders with responsibility for products, platforms, or large-scale deployments. Common among recent guests: Executive leadership at prominent technology companies; Ownership of enterprise AI, data, analytics, or software products; Practical experience deploying AI systems at organizational scale. Recent guests include Kamal Hathi, Hao Yang, and Mangesh Pimpalkhare.
High. It mostly books established leaders in its field.
Recent episodes cover Technology, Artificial Intelligence, Machine Learning, Data Science, and Enterprise Software. Pitch an idea tied to one of these topics and mention a recent episode.
Publicly listed emails
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