Stay ConnectedThe 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. Join us as we explore how to adapt to and harness digital transformation.
Copyright: © Info-Tech Research Group
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 Intro
01:08 Alberta's mission to transform government with AI
04:28 Why every government faces the same AI challenge
07:53 About Info-Tech
08:33 The vision for AI-driven government
10:33 AI Academy: Training 30,000 public servants
12:12 Building thousands of AI applications
15:25 The future of AI agents in government services
17:03 Beyond AI tools: Building an AI strategy
18:07 AI factories, compliance & software development
23:53 Overcoming bureaucracy with builder culture
30:35 Saving $2 million every week with AI
32:19 The velocity papers explained
37:02 AI factory, AI garage & government modernization
42:25 Open-Source AI tools changing government
48:18 Where organizations should start with AI
54:34 The biggest AI myths leaders believe
55:16 Why Copilot isn't your AI strategy
57:44 Why subject matter experts drive AI success
01:02:19 Making AI safe without slowing innovation
01:08:28 Sovereign AI and Canada's AI future
01:15:08 Building Canada's AI ecosystem
01:16:20 Final thoughts
Connect with Janak:
LinkedIn: https://www.linkedin.com/in/janak-alford/
X: https://x.com/JanakAlford
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow 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 Intro
01:16 Has the AI bubble burst?
04:44 AI hype vs. real business value
09:21 Why AI should become invisible
12:30 The biggest AI myths leaders still believe
16:15 Will AI replace software developers?
19:28 Why developers are moving up the value chain
20:54 The rise of "ephemeral" software
26:34 Enterprise use cases for disposable code
29:02 Is vibe coding ready for the enterprise?
32:10 Small AI models vs. large language models
35:46 Fine-tuning AI for enterprise success
38:17 Why companies still need engineers
41:57 The future role of developers, CIOs & CTOs
45:09 How developers can future-proof their careers
47:09 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 way
1:02:11 AI hardware and Arm's vision
1:05:18 Advice for technology leaders
1:07:05 The future of Sovereign AI
1:14:30 Final thoughts
Connect with Laurence:
LinkedIn: https://www.linkedin.com/in/laurence-moroney/
X: https://x.com/lmoroney
Facebook: https://www.facebook.com/laurence.moroney
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow 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?
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In this episode:
00:00 Is AI Overhyped?
00:52 The case against AI being overhyped
03:31 How AI is already transforming business
04:18 AI's impact on healthcare, science & society
05:20 AI is overhyped
06:40 Why many people still don't like AI
07:18 Is the AI business model sustainable?
08:45 Does AI actually save time?
09:23 AI and the future of jobs
10:17 The human cost of AI
12:04 AI adoption vs. AI skepticism
13:52 Is AI following the same path as cloud computing?
15:05 Are AI companies creating another tech bubble?
16:50 Technology vs. company valuations
18:02 AI search, Google & the future of the internet
19:31 Is AI becoming the next Blockchain?
20:24 Is AI's transformation inevitable?
21:29 Healthcare, Watson & enterprise AI
23:34 Microsoft Copilot, enterprise adoption & ROI
24:18 The future of AI in business
25:12 Audience votes on winner
26:04 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=podcast
Follow 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 Intro
00:46 Why everyone is afraid of AI
01:01 Why Alexander isn't afraid of artificial intelligence
03:02 AI, work & the future of human purpose
05:24 Will AI make society happier?
06:32 Why AI is different from every technology before it
08:07 AI as a creative partner instead of a tool
10:17 The real fear behind AI: Money & identity
12:48 How do we reach an AI future?
14:03 Why we need to redesign everything from scratch
16:12 AI, identity & Maslow's self-transcendence
19:07 Using AI to unlock human creativity
20:33 Lessons from building one of the first portable computers
22:34 Technology, identity & human evolution
24:24 How every technology becomes normal
27:07 AI learns you as you learn it
28:57 Why technology exists to eliminate friction
30:19 Why society needs to embrace AI earlier
31:44 Understanding the disruption continuum
34:10 Why disruption never ends
39:45 Are we living through an AI bridge moment?
42:06 Why most companies get AI completely wrong
46:31 Stop fitting AI into old systems
51:30 The biggest AI lessons for business leaders
53:12 The question every organization should ask
56:09 Leadership, AI & the future of organizations
59:18 Why AI is not optional
1:00:52 AI's true promise isn't speed
1:05:36 AI, contemplation & finding meaning
1:06:36 Social media, creativity & human attention
1:11:48 Final thoughts
Connect 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=podcast
Follow 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 Intro
00:53 Co-creator of Siri
01:15 AI's promise vs. AI's peril
02:28 Capability vs. diffusion: The real AI challenge
03:15 Why AI still can't replace entire jobs
04:31 Will AI cause massive white-collar job loss?
07:14 Why laying off employees for AI is a mistake
08:14 How businesses should actually adopt AI
10:30 How Dag personally uses AI today
12:41 AI investment trends and opportunities
13:27 What's next for AI infrastructure and data centers?
15:27 Hidden AI opportunities most investors miss
16:41 Winners and losers in the AI economy
17:56 How leaders should prepare their organizations
21:32 AI-first startups vs. large enterprises
23:11 Should established companies fear AI-native competitors?
24:00 Ignore AI and you're in trouble
25:21 The 10-year AI adoption timeline
26:22 Is AI ready or does it need more breakthroughs?
28:00 The original vision for Siri
29:30 AI agents, APIs, and autonomous assistants
31:32 Why apple lost ground in AI
34:53 Dag's vision for the future of Siri
35:29 The 'Conductor Thesis' for personal AI
38:30 Why personalization Is AI's missing link
39:07 Consumer backlash against AI
40:20 Why AI job loss fears are overblown
41:15 AI, productivity growth, and the four-day workweek
43:51 How to change public perception of AI
47:05 Convincing employees to embrace AI
47:50 Why incentives matter more than mandates
50:05 Practical advice for business leaders
53:03 The biggest AI trend nobody understands
53:38 How AI will transform healthcare
56:11 AI regulation and innovation challenges
58:23 Why Dag is optimistic about AI's future
59:15 Final thoughts
#ai #futureofwork #leadership #siri #apple #futureofai #technologypodcast #digitaltransformation #innovation #entrepreneurship #futureofjobs #stevejobs #dagkittlaus
Connect with Dag:
LinkedIn: https://www.linkedin.com/in/dagkittlaus/
X: https://x.com/dagk
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow 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 2030
04:05 Why education must be rebuilt for the AI era
07:12 Teaching critical thinking, data literacy & adaptability
10:40 How work changes in the age of AI
13:22 Why people should be treated as assets, not costs
16:16 The economic model that no longer works
20:24 Rethinking value, GDP, and the future economy
24:23 Can we actually value people and data?
27:29 Why governments need an AI consortium
28:54 AI, data ownership & wealth distribution
33:05 Should AI and cloud computing be treated as utilities?
35:45 Why most organizations mismanage data
37:05 Treating data as a business asset
42:53 Why AI can't fix bad data
47:27 What data-mature organizations do differently
48:05 Schneider electric's data monetization strategy
50:24 John Deere's AI and data advantage
51:21 The ethics of data monetization
55:28 Workforce transformation and leadership in the AI era
58:29 Why leaders struggle with long-term thinking
01:00:00 Leadership, risk, and better decision making
01:03:48 Rethinking leadership for the Intelligence Economy
01:06:19 Human wisdom vs machine knowledge
01:09:23 Final advice for leaders adopting AI
01:12:14 Final thoughts
Connect 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=podcast
Follow 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 Intro
01:25 Why Charlie Tyrell & Ted Tremper made the film
02:20 The origins of The AI Doc
04:45 AI anxiety, parenthood & the future
06:57 Wealth inequality and AI concentration
08:17 Reasons for hope and concern
11:01 How individuals can shape AI's future
11:49 Why education creates agency
13:02 AI's impact on artists and creators
15:12 Did The AI Doc use AI?
16:56 Human creativity vs AI-generated content
18:14 The filmmaking industry's AI debate
19:20 Generative AI and storytelling
21:23 Audience demand and the future of human-made art
23:13 Technology's impact on creativity throughout history
24:50 Ethical AI, consent & compensation
27:02 Can AI ever be ethical?
28:12 Policy, regulation & AI accountability
30:59 The AI arms race explained
32:14 AI competition, China & global innovation
34:07 AI narratives we should question
35:00 The Myth of AI Inevitability
37:08 Democratizing AI and power structures
38:11 What AI advocates get wrong
40:40 Radical imagination & AI governance
42:45 What gives Charlie and Ted Hope?
46:22 Raising children in an AI world
51:56 Technology, optimism & intellectual humility
55:00 The most influential voices in AI
57:39 Karen Hao, Deborah Raji & human-centered AI
1:00:08 Responsible AI use for business leaders
1:02:13 Fighting over-optimization and AI dependence
1:04:19 The hidden risks of AI services
1:07:12 Final Thoughts
Connect with The AI Doc:
X: https://x.com/theaidocfilm
Instagram: https://www.instagram.com/theaidocfilm/
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow 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 Intro
01:04 AI doom scenarios & humanity's future
02:00 Defining intelligence & consciousness
05:00 Why AI intelligence is different from human intelligence
06:52 Are LLMs actually intelligent?
08:10 Why AI hallucinates
10:09 Human learning vs machine learning
11:22 Can transformers lead to agi?
12:28 The scaling hypothesis explained
13:58 Mechanistic interpretability & neural networks
15:13 Can AI surpass human understanding?
18:42 AI and the future of scientific discovery
20:14 Why scientific progress feels slower today
22:03 Institutions, incentives & organizational decline
25:05 Trust in government and society
28:31 Can AI improve democracy?
30:40 Why AI gets such negative media coverage
33:03 The AI extinction debate
36:30 AI, automation & the future of jobs
40:05 Big Tech, AI power & capitalism
41:15 Money, markets & resource allocation
46:28 Regulation, innovation & economic growth
49:13 Why innovation is slowing down
51:08 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 stability
01:08:27 Regulation, governance & innovation
01:10:33 Lessons from Berlin's innovation culture
01:16:08 AI, surveillance & centralized power
01:18:07 Decentralized AI and individual empowerment
01:20:05 AI, healthcare & professional expertise
01:23:36 Control, society & human responsibility
01:25:00 Advice for leaders and innovators
01:26:03 Escaping filter bubbles
Connect with Joscha Bach:
LinkedIn: https://www.linkedin.com/in/joschabach
X: https://x.com/Plinz
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
Modern work is broken.
Endless meetings. Constant notifications. Work invading every corner of life.
So, what does the future of work actually look like in the age of AI agents, generative AI, and organizational transformation?
Microsoft’s Head of Future of Work & AI, Matthew Loys Duncan, says we’ve reached “human capacity” and that AI may not replace knowledge workers, but instead replace the worst parts of work itself.
In this episode, Matthew joins Geoff Nielson to unpack how AI agents, generative AI, and organizational redesign are reshaping white-collar work. He explains why most companies are approaching AI the wrong way, why culture matters more than technology, and how the future of work will be “human-led, agent-operated.”
From Microsoft’s Work Trend Index research and AI-native organizations to tacit knowledge, burnout, productivity, and leadership transformation, this conversation explores what happens when businesses stop optimizing old workflows and start redesigning work from the ground up.
If you’re trying to understand the real impact AI will have on work, leadership, and business strategy over the next decade, this episode is for you.
Like and subscribe for weekly conversations on AI, business, leadership, and the future of work.
In this episode:
00:00 Intro
00:01:15 Will AI replace white-collar jobs?
00:02:29 Why AI is a reimagination of work, not doom & gloom
00:03:08 Human-led, agent-operated work
00:03:37 The broken reality of modern office work
00:04:36 Digital overload, meetings & workplace chaos
00:06:16 Human agency vs AI agents
00:07:33 Using AI to redesign your job
00:09:02 Why the best AI users don’t outsource judgment
00:09:49 Delegation, intentional AI use & skill preservation
00:10:54 AI as a team member, not just a tool
00:11:27 The four ways people use generative AI
00:14:10 The rise of AI agents in the workplace
00:16:16 From personal productivity to organizational transformation
00:17:10 Where is the ROI from AI?
00:18:02 Why AI adoption alone fails
00:20:13 Finding the highest-leverage AI opportunities
00:23:27 Re-architecting work in the AI era
00:25:27 Should employees build their own AI agents?
00:28:39 AI-native organizations vs legacy enterprises
00:30:05 AI adoption vs AI absorption
00:32:31 Discovering hidden business value through AI
00:33:27 How legacy firms can compete with AI-native companies
00:35:06 Why AI transformation starts with culture
00:36:05 The role of HR, CEOs & leadership in AI strategy
00:39:14 Why AI is bigger than a technology initiative
00:41:12 The expanding role of the C-Suite in AI transformation
00:46:32 Microsoft’s “learn it all” leadership culture
00:50:00 Democratizing innovation with AI
00:53:23 Tacit knowledge & AI-powered learning
00:57:09 Information retrieval, organizational knowledge & AI
00:59:37 Capturing institutional intelligence with AI
01:00:03 Advice for business & technology leaders
01:03:17 Why there is no AI playbook yet
Connect with Matthew:
LinkedIn: https://www.linkedin.com/in/matthewloysduncan/
X: https://x.com/matthewloys
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
What if the biggest threat from AI isn’t artificial intelligence… but the economic system controlling it?
Author and creator of the Lean Startup methodology, Eric Ries says many of the biggest fears around AI are actually fears about capitalism.
In this episode, Eric joins us to talk about why great companies lose their value over time, how shareholder prioritization reshaped modern business, and why AI could either amplify human creativity or become the ultimate cost-cutting machine.
He explains the hidden forces behind corporate corruption, the concept of “financial gravity,” and why companies like Costco continue to outperform despite rejecting many traditional Wall Street “best practices.” From private equity and governance structures to AI alignment and the future of human creativity, this conversation explores the incentives shaping business, technology, and society itself.
Like and follow for weekly episodes.
In this episode:
00:00 Intro
01:00 Why great companies “go bad”
02:10 The rise of corporate corruption
05:48 Is capitalism itself the problem?
07:08 Making money without creating value
10:33 Corporate accountability & human flourishing
13:06 Why this problem keeps getting worse
18:21 How investors destroyed FedMart
21:22 Why Costco defies wall street logic
23:00 Financialization & the collapse of institutions
24:27 How leaders can protect mission-driven companies
27:12 “Financial gravity” explained
31:10 Trustworthiness as a business asset
34:37 Governance structures that actually work
36:20 Transitioning into AI & the future of work
37:42 AI governance & Anthropic
38:37 The AI alignment problem
41:30 Why AI is being optimized for cost cutting
42:15 AI should augment creativity, not replace humans
44:04 How to use AI as a learning tool
46:34 Real examples of AI augmentation done right
49:47 AI-assisted reading & learning
50:22 The problem with AI-generated “slop”
54:58 Why human-made work will become premium
57:19 The future of the attention economy
59:12 Will AI become addictive like social media?
01:00:03 The case for an AI Bill of Rights
01:04:11 Costco, DEI & organizational integrity
01:07:13 AI Regulation, governance & human flourishing
01:13:24 Fighting the “normative consensus” of shareholder primacy
01:21:21 Is the era of shareholder primacy already over?
01:22:22 Final thoughts
Connect with Eric:
LinkedIn: https://www.linkedin.com/in/eries/
X: https://x.com/ericries
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
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