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Embracing Digital Transformation: Daily Summaries Delivered
by Dr. Darren Pulsipher
Dr. Darren Pulsipher, Chief Enterprise Architect for Public Sector, author and professor, investigates effective change leveraging people, process, and technology. Which digital trends are a flash in the pan—and which will form the foundations of lasting change? With in-depth discussion and expert interviews, Embracing Digital Transformation finds the signal in the noise of the digital revolution. Workers are at the heart of many of today’s biggest digital transformation projects. Learn how to transform public sector work in an era of rapid disruption, including overcoming the security and scalability challenges of the remote work explosion. Building an innovative IT organization in the public sector starts with developing the right processes to evolve your information management capabilities. Find out how to boost your organization to the next level of data-driven innovation. From the data center to the cloud, transforming public sector IT infrastructure depends on having the right technology solutions in place. Sift through confusing messages and conflicting technologies to find the true lasting drivers of value for IT organizations.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 2 days ago34 min
How to Find Invisible Labor Before You Automate
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.Invisible labor can quietly limit growth, exhaust high performers, and make AI fail. Learn how leaders can surface hidden work before automating.
- 5 days ago35 min
Hollywood’s AI Inflection Point
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.Helix Wolfson explains how generative AI is changing filmmaking, audience expectations, and the future of human-led storytelling.
- 1 weeks ago38 min
Why AI Makes Team Conflict Harder, Not Easier
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.This episode argues that the hardest part of leading modern teams is not managing obvious differences, but surfacing the hidden ones that shape behavior under pressure. Csaba Toth makes a compelling case that culture, personality, and conditioning all interact, but that organizations often mistake stereotypes for understanding. His deeper point is that AI does not remove this problem; it can actually make it worse by giving people more ways to avoid friction, challenge, and self-examination. The executive lesson is straightforward: if you want better decisions, you need more than diversity on paper. You need structured self-awareness, facilitated disagreement, and the discipline to make comfort slightly harder than growth.
- 2 weeks ago36 min
Is AI helping your Vote? An unbiased approach.
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.This episode is about decision quality under information overload. Evan Meyer argues that voters do not need more outrage; they need a process. By defining priorities, using AI to research propositions, and checking claims against source material, individuals can make decisions that are more consistent and less reactive. For executives, the lesson is broader: any high-stakes environment benefits from a repeatable framework that turns complexity into judgment.
- 2 weeks ago14 min
The Right Model. The Right Place. The Right Cost.
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.In this episode of Digital Transformation Architect, Dr. Darren discusses how organizations can make thoughtful AI architecture decisions by focusing on real workloads and measurable outcomes rather than just model selection. He explains how to match AI models to deployment locations—device, edge, data center, cloud, or hybrid—based on factors like data sensitivity, latency, cost, and control. The episode also covers common AI architecture patterns, the importance of embedding trust and controls in the design, measuring cost per useful outcome, and stress-testing the architecture before deployment. Listeners are encouraged to use the AI Workload Decision Canvas to map workloads, surface assumptions, and prioritize actions toward scalable, trustworthy AI solutions.
- 2 weeks ago37 min
How to Control AI With Data-First Governance
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.Tim Freestone argues that AI is not leveling the playing field; it is magnifying the gaps organizations already had in data management, cybersecurity control, and operational discipline. The real issue is not whether companies adopt AI, but whether they can govern it around specific business outcomes and data controls. Leaders who focus on broad mandates or vanity metrics will create noise, not value. The better path is controlled deployment, domain expertise, and measurable use cases tied to real business inputs and outputs.
- 2 weeks ago34 min
How to Build AI Workflows Without Burning Out Your Team
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.This conversation is about more than workplace wellbeing. It is a warning to leaders that technology adoption changes the load on people, not just the output of systems. Georgina Woodley argues that AI can accelerate work while quietly increasing pressure, decision fatigue, and organizational friction. The leadership lesson is straightforward: if executives want AI to create durable value, they have to manage the human system with the same discipline they apply to the technical stack.
- 4 weeks ago34 min
#392 How Regulated Industries Can Adopt AI Without Losing Control
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.Regulated industries are under pressure to adopt AI without compromising security, compliance, or critical thinking. In this episode, Aaron Bach and Dr. Darren Pulsipher discuss why blanket AI bans fail, how shadow AI increases organizational risk, and what leaders can do to adopt AI responsibly. The conversation explores AI sovereignty, multi-model strategies, sensitive-data redaction, observability, human validation, and practical ways regulated organizations can move faster without losing control. The central message is clear: successful enterprise AI requires governance that supports innovation while preserving human judgment. Chapters: 00:00 Opening and guest background 03:47 Why regulated industries resist AI 06:59 Risk, shadow AI, and competitive pressure 09:20 Why late adopters risk falling behind 12:23 AI sovereignty and multi-model strategy 15:50 Practical steps for safer AI adoption 18:21 Building with AI to govern AI 22:37 Critical thinking as the real differentiator 27:45 Why software discipline still matters 31:38 AI augmentation and the human role 33:32 How Liminal helps regulated organizations 38:32 Democratized use cases and frontline value 40:34 Closing thoughts and where to connect #AIGovernance #EnterpriseAI #DigitalTransformation #RegulatedIndustries #ShadowAI
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About Embracing Digital Transformation
Dr. Darren Pulsipher, Chief Enterprise Architect for Public Sector, author and professor, investigates effective change leveraging people, process, and technology. Which digital trends are a flash in the pan—and which will form the foundations of lasting change? With in-depth discussion and expert interviews, Embracing Digital Transformation finds the signal in the noise of the digital revolution. Workers are at the heart of many of today’s biggest digital transformation projects. Learn how to transform public sector work in an era of rapid disruption, including overcoming the security and scalability challenges of the remote work explosion. Building an innovative IT organization in the public sector starts with developing the right processes to evolve your information management capabilities. Find out how to boost your organization to the next level of data-driven innovation. From the data center to the cloud, transforming public sector IT infrastructure depends on having the right technology solutions in place. Sift through confusing messages and conflicting technologies to find the true lasting drivers of value for IT organizations.
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