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by Info-Tech Research Group
The Next Industrial Revolution is Already Here. Digital Disruption is where industry leaders and experts share insights on leveraging technology to build the organizations of the future. As intelligent technologies reshape our lives and our livelihoods, we speak with the thinkers, the doers and innovators who will help us predict and harness this disruption. We explore how to adapt to and harness digital transformation.
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Government AI projects are often criticized for moving slowly, but Alberta is proving otherwise.In this episode, we sit down with Janak Alford, Deputy Minister of Technology and Innovation for the Government of Alberta, to understand how Alberta is using AI to save $2 million every week while accelerating digital service delivery, improving compliance, and raising software quality standards.Janak shares why governments and enterprises should stop waiting for the "perfect" AI solution and start building internal AI capabilities. From AI factories and builder culture to open-source tools, sovereign AI, cybersecurity, and AI-powered software development, this conversation offers a practical blueprint for organizations looking to modernize with AI and deliver measurable results.If you're tired of AI hype and want to see what real implementation looks like, don't miss this one.Follow and like this video for weekly conversations on AI, technology, digital transformation, and the future of work and technology.In this episode:00:00 Intro01:08 Alberta's mission to transform government with AI04:28 Why every government faces the same AI challenge07:53 About Info-Tech08:33 The vision for AI-driven government10:33 AI Academy: Training 30,000 public servants12:12 Building thousands of AI applications15:25 The future of AI agents in government services17:03 Beyond AI tools: Building an AI strategy18:07 AI factories, compliance & software development23:53 Overcoming bureaucracy with builder culture30:35 Saving $2 million every week with AI32:19 The velocity papers explained37:02 AI factory, AI garage & government modernization42:25 Open-Source AI tools changing government48:18 Where organizations should start with AI54:34 The biggest AI myths leaders believe55:16 Why Copilot isn't your AI strategy57:44 Why subject matter experts drive AI success01:02:19 Making AI safe without slowing innovation01:08:28 Sovereign AI and Canada's AI future01:15:08 Building Canada's AI ecosystem01:16:20 Final thoughtsConnect with Janak:LinkedIn: https://www.linkedin.com/in/janak-alford/X: https://x.com/JanakAlfordOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
Is vibe coding the future of software development? Or is it just another AI buzzword?In this episode, Geoff Nielson sits down with Laurence Moroney, former Head of AI Advocacy at Google and now Director of AI at Arm, to separate AI hype from reality and discuss what software development actually looks like in the age of generative AI.This conversation takes a look at the future of coding, the rise of AI-generated code, and why claims that software developers are becoming obsolete miss the bigger picture. From vibe coding and enterprise AI to agentic AI and the evolving role of engineers, this Laurence and Geoff look at how AI is reshaping software development, and why the best developers will become even more valuable by moving up the value chain.Subscribe for weekly conversations on the future of technology, artificial intelligence, and innovation. Comment below: Do you think vibe coding has a place in your professional workflow?In this episode:00:00 Intro01:16 Has the AI bubble burst?04:44 AI hype vs. real business value09:21 Why AI should become invisible12:30 The biggest AI myths leaders still believe16:15 Will AI replace software developers?19:28 Why developers are moving up the value chain20:54 The rise of "ephemeral" software26:34 Enterprise use cases for disposable code29:02 Is vibe coding ready for the enterprise?32:10 Small AI models vs. large language models35:46 Fine-tuning AI for enterprise success38:17 Why companies still need engineers41:57 The future role of developers, CIOs & CTOs45:09 How developers can future-proof their careers47:09 Should students still study computer science?49:09 Does AI create 100x developers?51:20 What is Agentic AI?57:06 Building enterprise AI the right way1:02:11 AI hardware and Arm's vision1:05:18 Advice for technology leaders1:07:05 The future of Sovereign AI1:14:30 Final thoughtsConnect with Laurence:LinkedIn: https://www.linkedin.com/in/laurence-moroney/X: https://x.com/lmoroneyFacebook: https://www.facebook.com/laurence.moroneyOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
This is THE AI debate you've been waiting for.Will AI become as transformational as the internet, or will history remember it more like blockchain and the metaverse?In this episode of Digital Disruption, Info-Tech's Geoff Nielson and Jeremy Roberts go head-to-head over one of the biggest technology questions of our time: Is AI overhyped?The debate looks at whether generative AI is delivering measurable business value or whether the excitement surrounding OpenAI, Microsoft Copilot, Google, Nvidia, and today's AI investments has outpaced reality. From enterprise productivity and healthcare innovation to AI adoption, venture capital, cloud computing, autonomous vehicles, and the future of work, both sides present compelling evidence at the Info-Tech LIVE Conference in Las Vegas.You'll hear why the profitability of today's AI industry is being questioned, how massive capital investments are shaping the race among AI leaders, and what these financial realities could mean for the future of artificial intelligence. Whether you're an IT leader, business executive, or AI enthusiast, this debate offers practical insights into where AI is delivering real value, and where expectations may be running ahead of reality.Which side of the debate are you on?Like and follow for weekly episodes.In this episode:00:00 Is AI Overhyped? 00:52 The case against AI being overhyped03:31 How AI is already transforming business04:18 AI's impact on healthcare, science & society05:20 AI is overhyped06:40 Why many people still don't like AI07:18 Is the AI business model sustainable?08:45 Does AI actually save time?09:23 AI and the future of jobs10:17 The human cost of AI12:04 AI adoption vs. AI skepticism13:52 Is AI following the same path as cloud computing?15:05 Are AI companies creating another tech bubble?16:50 Technology vs. company valuations18:02 AI search, Google & the future of the internet19:31 Is AI becoming the next Blockchain?20:24 Is AI's transformation inevitable?21:29 Healthcare, Watson & enterprise AI23:34 Microsoft Copilot, enterprise adoption & ROI24:18 The future of AI in business25:12 Audience votes on winner26:04 Final thoughts on if AI really is overhyped.Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
Stop fearing the future of work. Learn why our current infrastructure is failing and how to adapt your mindset for the age of artificial intelligence and technology. AI isn't taking your job; it's forcing humanity to rethink what work, identity, and purpose actually mean.In this conversation, Geoff Nielson sits down with innovation strategist, futurist, and author Alexander Manu to discuss why so many professionals fear a loss of income. The core issue, he argues, is not technology itself but our tendency to apply old systems to new realities. Instead of viewing artificial intelligence as a threat, Alexander explains that AI represents the next stage of human evolution, one where technology frees us from repetitive work and allows us to focus on creativity, learning, and what makes us uniquely human.The conversation also explores disruption, digital transformation, Maslow's concept of self-transcendence, the future of work, education, leadership, and what it truly means to live in an AI-first world.Whether you're a CIO, technology leader, business executive, innovator, or simply curious about where artificial intelligence is taking society, this episode offers one of the most optimistic, and challenging, perspectives you'll hear on the future of AI.Like and follow for weekly episodes. In this episode:00:00 Intro00:46 Why everyone is afraid of AI01:01 Why Alexander isn't afraid of artificial intelligence03:02 AI, work & the future of human purpose05:24 Will AI make society happier?06:32 Why AI is different from every technology before it08:07 AI as a creative partner instead of a tool10:17 The real fear behind AI: Money & identity12:48 How do we reach an AI future?14:03 Why we need to redesign everything from scratch16:12 AI, identity & Maslow's self-transcendence19:07 Using AI to unlock human creativity20:33 Lessons from building one of the first portable computers22:34 Technology, identity & human evolution24:24 How every technology becomes normal27:07 AI learns you as you learn it28:57 Why technology exists to eliminate friction30:19 Why society needs to embrace AI earlier31:44 Understanding the disruption continuum34:10 Why disruption never ends39:45 Are we living through an AI bridge moment?42:06 Why most companies get AI completely wrong46:31 Stop fitting AI into old systems51:30 The biggest AI lessons for business leaders53:12 The question every organization should ask56:09 Leadership, AI & the future of organizations59:18 Why AI is not optional1:00:52 AI's true promise isn't speed1:05:36 AI, contemplation & finding meaning1:06:36 Social media, creativity & human attention1:11:48 Final thoughtsConnect with Alexander:LinkedIn: https://www.linkedin.com/in/alexander-manu-458b7b3/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
AI is moving faster than most organizations can keep up with, but according to Siri co-creator Dag Kittlaus , the biggest challenge isn't the technology itself. It's adoption.In this episode, Dag shares his insights on how artificial intelligence will reshape your career, your business, and the future of work.Drawing on his experience building Siri and investing in the next generation of AI startups, Dag explains why widespread AI-driven job loss is unlikely in the near term and how business leaders can successfully integrate AI into their organizations. He explores the important differences between AI capability and AI diffusion, arguing that this distinction will shape the next decade of innovation, productivity, and economic growth.The conversation covers AI productivity gains, enterprise AI adoption, AI-first startups, Apple's AI future, personalized virtual assistants, healthcare innovation, data centers, AI infrastructure, and the emerging opportunities that business and technology leaders can't afford to ignore.Whether you're a CIO, business leader, entrepreneur, or technology professional, this episode offers practical insights into how artificial intelligence is transforming industries and why understanding AI today may be one of the most important investments you can make in your future.Like and follow for weekly episodes.In this episode:00:00 Intro00:53 Co-creator of Siri01:15 AI's promise vs. AI's peril02:28 Capability vs. diffusion: The real AI challenge03:15 Why AI still can't replace entire jobs04:31 Will AI cause massive white-collar job loss?07:14 Why laying off employees for AI is a mistake08:14 How businesses should actually adopt AI10:30 How Dag personally uses AI today12:41 AI investment trends and opportunities13:27 What's next for AI infrastructure and data centers?15:27 Hidden AI opportunities most investors miss16:41 Winners and losers in the AI economy17:56 How leaders should prepare their organizations21:32 AI-first startups vs. large enterprises23:11 Should established companies fear AI-native competitors?24:00 Ignore AI and you're in trouble25:21 The 10-year AI adoption timeline26:22 Is AI ready or does it need more breakthroughs?28:00 The original vision for Siri29:30 AI agents, APIs, and autonomous assistants31:32 Why apple lost ground in AI34:53 Dag's vision for the future of Siri35:29 The 'Conductor Thesis' for personal AI38:30 Why personalization Is AI's missing link39:07 Consumer backlash against AI40:20 Why AI job loss fears are overblown41:15 AI, productivity growth, and the four-day workweek43:51 How to change public perception of AI47:05 Convincing employees to embrace AI47:50 Why incentives matter more than mandates50:05 Practical advice for business leaders53:03 The biggest AI trend nobody understands53:38 How AI will transform healthcare56:11 AI regulation and innovation challenges58:23 Why Dag is optimistic about AI's future59:15 Final thoughts#ai #futureofwork #leadership #siri #apple #futureofai #technologypodcast #digitaltransformation #innovation #entrepreneurship #futureofjobs #stevejobs #dagkittlausConnect with Dag:LinkedIn: https://www.linkedin.com/in/dagkittlaus/X: https://x.com/dagkOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
What if AI isn't the biggest disruption we're facing? What if the real problem is that we're trying to force 24th-century technology into an economy designed for another era? In this episode, AI and transformation leader, Michael Clark explains why AI is exposing fundamental flaws in education, business, leadership, and the global economy, and what we need to do next.Michael argues that we're trying to fit next-generation AI into systems designed for the industrial age. The conversation explores how organizations can move beyond automation and embrace collaborative intelligence, where humans and AI work together to create value. They discuss the future of work, data as an asset, workforce transformation, AI adoption, leadership in the intelligence economy, and why critical thinking, judgment, and adaptability will become the most valuable skills in the AI era.Like and follow for weekly episodes.In this episode:00:00 Intro 01:23 Two possible futures for 203004:05 Why education must be rebuilt for the AI era07:12 Teaching critical thinking, data literacy & adaptability10:40 How work changes in the age of AI13:22 Why people should be treated as assets, not costs16:16 The economic model that no longer works20:24 Rethinking value, GDP, and the future economy24:23 Can we actually value people and data?27:29 Why governments need an AI consortium28:54 AI, data ownership & wealth distribution33:05 Should AI and cloud computing be treated as utilities?35:45 Why most organizations mismanage data37:05 Treating data as a business asset42:53 Why AI can't fix bad data47:27 What data-mature organizations do differently48:05 Schneider electric's data monetization strategy50:24 John Deere's AI and data advantage51:21 The ethics of data monetization55:28 Workforce transformation and leadership in the AI era58:29 Why leaders struggle with long-term thinking01:00:00 Leadership, risk, and better decision making01:03:48 Rethinking leadership for the Intelligence Economy01:06:19 Human wisdom vs machine knowledge01:09:23 Final advice for leaders adopting AI01:12:14 Final thoughtsConnect with Michael:LinkedIn: https://www.linkedin.com/in/mclarkglobal/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
Artificial intelligence is reshaping work, creativity, business, and society faster than ever before, but how worried should we really be?In this episode, we sit down with The AI Doc producers Charlie Tyrell and Ted Tremper to discuss the biggest lessons they learned after spending years investigating AI and interviewing leading experts, including Sam Altman, Dario Amodei, Karen Hao, and many of the influential voices shaping the future of artificial intelligence.The conversation goes far beyond the typical AI debate, exploring AI ethics, generative AI, creative industries, wealth inequality, AI regulation, AGI, automation, AI governance, and the growing question of whether artificial intelligence is an inevitable force—or a technology that society can still shape. Charlie and Ted discuss the risks of concentrated power, the impact of AI on artists and filmmakers, ethical AI development, transparency, consent, and what individuals can do to influence the future of technology.AI is changing everything. The way we work, the way we create, the way we build businesses, and potentially the future of society itself. But beneath the headlines, hype, and fear, what’s actually true? If you're interested in artificial intelligence, technology, leadership, innovation, creativity, or the future of humanity, this is a conversation you won't want to miss.Like and follow for weekly episodes.In this episode:00:00 Intro01:25 Why Charlie Tyrell & Ted Tremper made the film02:20 The origins of The AI Doc04:45 AI anxiety, parenthood & the future06:57 Wealth inequality and AI concentration08:17 Reasons for hope and concern11:01 How individuals can shape AI's future11:49 Why education creates agency13:02 AI's impact on artists and creators15:12 Did The AI Doc use AI?16:56 Human creativity vs AI-generated content18:14 The filmmaking industry's AI debate19:20 Generative AI and storytelling21:23 Audience demand and the future of human-made art23:13 Technology's impact on creativity throughout history24:50 Ethical AI, consent & compensation27:02 Can AI ever be ethical?28:12 Policy, regulation & AI accountability30:59 The AI arms race explained32:14 AI competition, China & global innovation34:07 AI narratives we should question35:00 The Myth of AI Inevitability37:08 Democratizing AI and power structures38:11 What AI advocates get wrong40:40 Radical imagination & AI governance42:45 What gives Charlie and Ted Hope?46:22 Raising children in an AI world51:56 Technology, optimism & intellectual humility55:00 The most influential voices in AI57:39 Karen Hao, Deborah Raji & human-centered AI1:00:08 Responsible AI use for business leaders1:02:13 Fighting over-optimization and AI dependence1:04:19 The hidden risks of AI services1:07:12 Final Thoughts Connect with The AI Doc:X: https://x.com/theaidocfilmInstagram: https://www.instagram.com/theaidocfilm/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
Artificial Intelligence is changing faster than most people realize, but are we asking the wrong questions about AI, AGI, consciousness, and the future of society? In this episode, cognitive scientist and AI researcher Joscha Bach joins us for a thought-provoking conversation on artificial intelligence, machine consciousness, large language models (LLMs), AGI, human intelligence, and the future of work. Joscha explains why intelligence is fundamentally about model-building, why consciousness may be a biological training algorithm, and what current AI systems are still missing. The conversation goes far beyond technology, tapping into innovation, capitalism, regulation, scientific progress, institutional trust, democracy, media narratives, AI safety, employment disruption, economic incentives, and the future of human civilization. Joscha shares his perspective on AI doom scenarios, why he believes many fears around artificial intelligence are overstated, and how AI could ultimately empower individuals rather than replace them. This episode offers a different look into artificial intelligence, human progress, and what comes next. Like and follow for weekly episodes.In this episode:00:00 Intro01:04 AI doom scenarios & humanity's future02:00 Defining intelligence & consciousness05:00 Why AI intelligence is different from human intelligence06:52 Are LLMs actually intelligent?08:10 Why AI hallucinates10:09 Human learning vs machine learning11:22 Can transformers lead to agi?12:28 The scaling hypothesis explained13:58 Mechanistic interpretability & neural networks15:13 Can AI surpass human understanding?18:42 AI and the future of scientific discovery20:14 Why scientific progress feels slower today22:03 Institutions, incentives & organizational decline25:05 Trust in government and society28:31 Can AI improve democracy?30:40 Why AI gets such negative media coverage33:03 The AI extinction debate36:30 AI, automation & the future of jobs40:05 Big Tech, AI power & capitalism41:15 Money, markets & resource allocation46:28 Regulation, innovation & economic growth49:13 Why innovation is slowing down51:08 Is Big Tech starving other industries?54:39 Is there an AI bubble?57:30 Could the financial system be rebooted?01:00:17 Cryptocurrency, regulation & economic stability01:08:27 Regulation, governance & innovation01:10:33 Lessons from Berlin's innovation culture01:16:08 AI, surveillance & centralized power01:18:07 Decentralized AI and individual empowerment01:20:05 AI, healthcare & professional expertise01:23:36 Control, society & human responsibility01:25:00 Advice for leaders and innovators01:26:03 Escaping filter bubblesConnect with Joscha Bach:LinkedIn: https://www.linkedin.com/in/joschabachX: https://x.com/PlinzOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
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The Next Industrial Revolution is Already Here. Digital Disruption is where industry leaders and experts share insights on leveraging technology to build the organizations of the future. As intelligent technologies reshape our lives and our livelihoods, we speak with the thinkers, the doers and innovators who will help us predict and harness this disruption. We explore how to adapt to and harness digital transformation.
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