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Embracing Digital Transformation

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.

People
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.

Processes
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.

Technologies
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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  • 44 episodes
  • Avg 33 min
  • English

Episodes 44

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  • #1
    Today · 5 min

    How to Increase Outcome ROI with AI

    This episode from the AI Augmented Institute explores how organizations can increase the return on investment (ROI) of AI by focusing on meaningful outcome improvements rather than frequency of use or novelty of tools. It emphasizes starting with a clear,

  • #401
    Yesterday · 36 min

    How to Build a Resilient Team Without Toxic Positivity

    Russell Harvey makes a clear case that resilience is not about telling people to toughen up or stay positive. It is about helping individuals and teams move forward with learning after pressure, loss, or disruption. For executives, the real issue is not w

  • #30
    Wednesday · 10 min

    Why Space Computing Must Be a Continuum

    Dr. Darren explores the concept of a space computing continuum, emphasizing dynamic placement of applications, AI models, and data across orbital and terrestrial environments to optimize mission value. The episode discusses how mission capability depends

  • #400
    Tuesday · 35 min

    How to Build an Innovation Marketplace

    This episode reframes innovation as an operating system problem. Terry Young argues that organizations already produce plenty of ideas, prototypes, and research, but too many of them stall because the surrounding structures reward comfort, speed, and incr

  • #399
    Sunday · 36 min

    How to Build an Organizational Digital Twin

    This episode makes a strong case that digital transformation needs a better operating model, not just better tooling. Michael Schank explains why enterprises should model the organization itself: its structure, processes, controls, roles, and performance

  • #398
    November 3 · 34 min

    How to Find Invisible Labor Before You Automate

    Margot Lawless argues that invisible labor is one of the most overlooked sources of organizational friction. It includes the coordination, follow-up, rework, and tribal knowledge that keep a business functioning but rarely appear in formal plans or headco

  • #397
    October 30 · 35 min

    Hollywood’s AI Inflection Point

    This conversation is less about whether AI can make video and more about what happens when creative production becomes widely accessible. Helix Wolfson argues that the film industry is already changing because of streaming, COVID, and shifting audience be

  • #28
    October 18 · 14 min

    The Right Model. The Right Place. The Right Cost.

    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 m

  • #394
    October 18 · 37 min

    How to Control AI With Data-First Governance

    Tim Freestone explains why AI is exposing weak data security, why broad AI adoption is the wrong metric, and how leaders should use controlled, data-first governance.

  • #392
    October 8 · 34 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

  • #391
    October 6 · 45 min

    #391 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

  • #390
    October 1 · 35 min

    #390 AI Search Is Rewriting SEO: What Leaders Need to Know

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books. AI search is rewriting SEO—and business leaders need a new playbook. Host Dr. Darren welcomes SEO strategist Leopold von Lee to unpack how AI search, Google Business Profile, media coverage, and social proof now shape visibility. They explore why authority is no longer just about backlinks, and what leaders must do to get found in an AI-driven search world. ## Key Takeaways - SEO is shifting from a page-level tactic to an ecosystem strategy shaped by authority, consistency, and trust. - AI search tools compare signals across websites, media mentions, reviews, social platforms, and local listings. - A strong website still matters, but it’s no longer enough on its own to win visibility. - Media coverage and third-party validation can significantly improve how AI systems evaluate your brand. - LinkedIn, YouTube, Facebook, TikTok, and Google Business Profile can all support AI visibility when used strategically. - Avoid spammy tactics, weak content, and client-side-heavy sites that bots may struggle to crawl and understand. ## Chapters - **00:00** Welcome to the show and today’s topic - **01:01** Leo’s backstory and career journey - **08:18** How SEO has changed in the age of AI search - **12:05** The three pillars of SEO: technical, content, and authority - **15:30** How AI compares signals beyond your website - **19:10** Building trust with media coverage and third-party mentions - **24:05** Why Google Business Profile is making a comeback - **27:40** Social media platforms that matter for AI visibility - **32:10** SEO mistakes and AI search traps to avoid - **37:20** Final takeaways on authority, trust, and visibility

  • #389
    September 29 · 34 min

    #389 AI Search Still Runs on SEO Authority

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books. AI search is rewriting the rules of digital visibility, trust, and persuasion. Host Darren Pulsifer sits down with SEO and AI expert Kevin C. Roy to unpack how search, content credibility, and local ranking are changing in the age of AI. They explore practical ways businesses can build authority, improve AI SEO, and stay visible in an increasingly automated information landscape. ## Key Takeaways - AI search still relies heavily on credibility, relevance, and authority signals — not just keywords. - Strong SEO foundations continue to matter for AI visibility, especially when content is logically organized and well linked. - Author bios, consistent naming, and external mentions help establish subject matter expertise for AI systems. - Internal linking and topical clusters make it easier for both search engines and AI models to understand your site. - Local businesses should not ignore Google Maps, reviews, and review responses, since local SEO remains a major visibility driver. - High-authority, relevant links from trusted sources can still boost rankings and strengthen trust signals. ## Chapters - 00:00 Introduction to AI search and digital persuasion - 02:10 Kevin C. Roy’s background in early web and SEO - 07:05 How AI search is changing visibility and rankings - 11:20 Why authority, credibility, and E-E-A-T still matter - 16:15 Building logical site structure and internal links - 21:30 Using author bios, mentions, and external proof - 27:10 Local SEO, Google Maps, and review strategies - 32:40 Final advice for businesses navigating AI and SEO

  • #388
    September 24 · 39 min

    #388 AI Literacy and the Hidden Power of Digital Persuasion

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books. AI is reshaping not just what we see, but how we think, trust, and decide. Host Dr. Darren sits down with Diego Bonilla, CSU professor and AI literacy expert, to unpack digital persuasion, privacy, critical thinking, and how AI can move from personalized influence toward collective intelligence. ## Key Takeaways - **AI literacy is now leadership literacy.** Understanding how AI shapes attention, persuasion, and decision-making is essential for technologists and business leaders. - **Critical thinking applies across every medium.** From mass media to social platforms to generative AI, the core defense is the ability to question outputs and recognize bias. - **Advertising drives much of today’s digital ecosystem.** Free platforms often rely on persuasive design, which can fuel addiction, echo chambers, and cognitive overload. - **Centralized AI creates dependency risk.** Leaders should evaluate vendor lock-in, model control, and the consequences of relying on a single platform or system. - **AI can support collective intelligence.** Beyond individualized chat, AI can be designed to help groups reason together, share knowledge, and solve problems collaboratively. - **The future belongs to organizations that think together.** Teams that build judgment, literacy, and dialog will be better prepared for AI’s next wave. ## Chapters - **00:00** Welcome and AI literacy introduction - **03:12** Diego Bonilla’s background in digital media and cognition - **08:10** Why critical thinking is the foundation of media literacy - **13:25** Social media, psychographics, and persuasive design - **18:40** Echo chambers, advertising, and digital addiction - **24:05** AI companions, personalization, and behavior shaping - **29:30** Why AI is different from traditional digital media - **34:15** Centralized models, open source, and AI control risk

  • #387
    September 22 · 32 min

    #387 Why Technical Leaders Need Storytelling Before Slides

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books. Clarity wins in the age of AI. Host Dr. Darren sits down with Nir Zavaro to unpack how leaders, engineers, and founders can turn complex ideas into clear, memorable stories—without hiding behind slides. From AI-assisted drafting to presentation structure and emotional storytelling, this conversation is a practical guide to better **business communication**, **public speaking**, and **storytelling for leaders**. ## Key Takeaways - **Slides should support the message, not carry it.** If the deck is doing all the work, the story needs more strength. - **Start with the outcome.** Before building a talk, decide what the audience should think, feel, or do afterward. - **Emotion gives logic traction.** Facts matter, but people act when the message connects emotionally. - **Use AI to reduce friction, not thinking.** Transcribe, draft, shorten, and refine with AI tools, but keep control of the core idea. - **Practice makes presentations clearer.** Rehearsing your opener, closer, and key scenes helps you speak with confidence and precision. - **Focus on your audience, not your ego.** The best talks are about their needs, not how impressive you are. ## Chapters - **00:00** Intro and why AI and storytelling matter - **01:06** Neer’s origin story: sales, writing, and marketing - **06:04** Why slides are becoming a crutch - **10:02** Writing first, then speaking with clarity - **13:16** How AI can help people express ideas - **16:08** A simple framework for practicing talks - **20:03** Slides as support, not the main event - **22:08** Using AI to improve pitch decks and meetings - **25:11** Why audience emotion drives decisions - **28:18** The message must be about them, not you - **31:37** How to make AI and education talks more compelling - **34:25** Where to find Neer and join the community

  • #386
    September 17 · 42 min

    #386 AI Transformation Fails Without Context: What Enterprise Leaders Need to Know

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books. AI transformation fails when teams skip the most important ingredient: context. Host Dr. Darren welcomes Artem Koren, Chief Product Technology Officer at Sembly AI, to unpack why enterprise AI success depends on clear intent, quality standards, and better requirements—not just buying a platform. They explore digital transformation, AI workflow redesign, and how to make AI actually useful in the real world. ## Key Takeaways - **AI is changing transformation from automation to reimagining work.** Many workflows are no longer just faster—they’re fundamentally different. - **Context is the missing layer.** AI performs best when it understands the business problem, the user, the brand, and the operating environment. - **“Intent technology” needs stronger requirements.** Unlike traditional software, AI outputs can vary, so leaders must define what good looks like up front. - **Large organizations face a bigger challenge.** Tribal knowledge, consistency, and brand standards make enterprise AI harder to deploy well. - **ROI requires a specific use case.** Don’t ask whether your company “uses AI”; ask whether AI improves a measurable business outcome. - **Presentation formats may need to evolve.** AI can help teams move beyond traditional slide decks and create more effective, audience-specific communication. ## Chapters - **00:00** Introduction: Why AI transformation fails without context - **02:00** Artem Koren’s background in technology, consulting, and AI - **07:10** How digital transformation has changed in the AI era - **12:40** Functional software vs. intent technology - **17:30** Why AI requires richer requirements and quality standards - **23:05** The role of context, culture, and tribal knowledge in enterprise AI - **29:10** Why “we use AI” is not a real ROI strategy - **35:20** Defining success for AI-powered workflows and presentations - **42:00** Reimagining slides, presentations, and communication with AI - **47:15** Sembly AI, the new product release, and how to connect with Artem

Showing 1–20 of 44 episodes