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In this episode of Transformers, Ann Funai sits down with Mark Polyak, Chief Product & Technology Officer at MINT.ai, to explore how multimodal AI and intelligent automation are reshaping the future of work, marketing and human innovation.
Drawing from his background in counterterrorism and real-time data systems, Mark shares how data integrity, transparency and human oversight are essential to successful AI implementation. The conversation explores the shift to prescriptive analytics, the rise of agentic AI and how multimodal systems are driving workflow automation, a creative production boom, and business ROI.
Chapters
00:00 – From conflict zones to campaigns: Using data to get closer to truth
04:52 – Why data integrity matters: Guardrails, transparency and trust in AI systems
06:35 – Beyond descriptive: Unlocking prescriptive analytics for smarter business decisions
12:34 – Adapt or stagnate: The rise of multimodal AI and intelligent automation
15:33 – AI and the workforce: How technology is reshaping labor trends
21:20 – 3 ways AI is changing marketing: Automation, creativity and ROI
25:00 – Most AI solutions are failing: The role of trusted partners in driving real results
28:55 – The ‘glue’ role: Why business translators are essential to success with AI
31:44 – Responsible innovation in action: Building multiagentic AI with guardrails
36:20 – Spotting AI hype: How to tell real value from empty promises
39:55 – Team of Teams: Leadership lessons from high-security environments
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
By IBMIn this episode of Transformers, Ann Funai sits down with Mark Polyak, Chief Product & Technology Officer at MINT.ai, to explore how multimodal AI and intelligent automation are reshaping the future of work, marketing and human innovation.
Drawing from his background in counterterrorism and real-time data systems, Mark shares how data integrity, transparency and human oversight are essential to successful AI implementation. The conversation explores the shift to prescriptive analytics, the rise of agentic AI and how multimodal systems are driving workflow automation, a creative production boom, and business ROI.
Chapters
00:00 – From conflict zones to campaigns: Using data to get closer to truth
04:52 – Why data integrity matters: Guardrails, transparency and trust in AI systems
06:35 – Beyond descriptive: Unlocking prescriptive analytics for smarter business decisions
12:34 – Adapt or stagnate: The rise of multimodal AI and intelligent automation
15:33 – AI and the workforce: How technology is reshaping labor trends
21:20 – 3 ways AI is changing marketing: Automation, creativity and ROI
25:00 – Most AI solutions are failing: The role of trusted partners in driving real results
28:55 – The ‘glue’ role: Why business translators are essential to success with AI
31:44 – Responsible innovation in action: Building multiagentic AI with guardrails
36:20 – Spotting AI hype: How to tell real value from empty promises
39:55 – Team of Teams: Leadership lessons from high-security environments
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.