The Intelligence Age

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/726

What happens when a company goes all-in on AI at scale? In this episode, Christoffer Besler Hansen shares how Atea rolled out Microsoft 365 Copilot across thousands of employees—and what they learned along the way. From surprising use cases to measurable time savings, Christoffer reveals the real-world impact of generative AI in the workplace, and why user adoption is the true key to transformation.
 
🔑 KEY TAKEAWAYS
- Copilot saves time fast: Most users report saving 30–40 minutes daily, with 20% saving over an hour.
- Adoption beats access: Licenses alone don’t drive value—structured onboarding and communication are essential.
- Project leaders and consultants benefit most: These roles see major gains in productivity and quality.
- Copilot Research Agent is a game-changer: It dramatically reduces time spent on complex tasks like architectural design and meeting prep.
- Executive buy-in matters: Atea’s C-suite drove early adoption and shifted the mindset from cost to value.
 
🧰 RESOURCES MENTIONED:
👉 Microsoft 365 Copilot – https://www.microsoft.com/en-us/microsoft-365/copilot 
👉 Copilot Research Agent – Part of Microsoft 365 Copilot (no separate URL mentioned)
👉 GitHub Copilot – https://github.com/features/copilot
👉 Cursor IDE – https://www.cursor.so
👉 ChatGPT – https://chat.openai.com
👉 Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Hosts: Mark Smith, Meg Smith

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/725

Feeling behind on AI? You’re not too late. In this kickoff to the AI Advantage Show, Meg and Mark unpack the myth that “everyone is already ahead,” share why only a small group are true power users, and show how to turn fear into curiosity, then into practical skills. You will learn how to use AI as a thought partner, build adaptability in the Intelligence Age, and plug into a community that learns and teaches together, ako-style.

Join the private WhatsApp group for Q&A and community: https://chat.whatsapp.com/E0iyXcUVhpl9um7DuKLYEz

What you’ll learn
- Why the “everyone is ahead” idea is a myth, and what the 10 percent power-user cliff really means for you
- How to shift from knowledge to applied skill through iteration, not one-shot prompts
- Ways to use AI as a thought partner so your ideas lead, and the model supports
- How adaptability, curiosity, and practice compound your results over time
- A simple “20 Questions” exercise that keeps outputs in your true voice
- Why community matters for confidence, accountability, and momentum

Highlights

“It is not a ramp, it is a cliff.”

“Skill beats hype. Practice, iterate, and ask better follow-up prompts.”

“AI is becoming an extension of us, like the phone in your pocket.”

“Ako means we learn and teach together.”

Mentioned

Brad Smith, Tools and Weapons: https://amzn.to/45H16sD

Mark’s Tech Trailblazer 2-Minute Tuesday Read: https://pages.nz365guy.com/linkedin

Connect with the hosts

Mark Smith:
Blog: https://www.nz365guy.com
LinkedIn: https://www.linkedin.com/in/nz365guy

Meg Smith:
Blog: https://www.megsmith.nz
LinkedIn: https://www.linkedin.com/in/megsmithnz

Support the show

Subscribe, rate, and share with someone who wants to be future ready. Drop your questions in the comments or the WhatsApp group, and we may feature them in an upcoming episode.

Keywords: AI skills, generative AI, Copilot, prompting, Intelligence Age, digital fluency, adaptability, productivity, AI thought partner, learning community

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/724

What if your AI adoption strategy could actually stick—and scale? In this episode, Dan Boyles, Head of AI at First AI Group, shares how his team helps businesses move beyond hype to real, measurable impact with Microsoft Copilot. From building prompt libraries to empowering champions, Dan reveals the frameworks and tactics that turn AI from a buzzword into a business advantage. Whether you're leading transformation or just getting started, this conversation is packed with insights to help you drive adoption that lasts.

🔑 KEY TAKEAWAYS
- Adoption must be intentional: Successful AI rollouts start with leadership buy-in, clear goals, and a phased strategy—not just flipping the switch.
- Champion programs drive momentum: Identifying and empowering internal advocates is key to scaling Copilot across departments.
- Prompt engineering is a skill: Effective prompts can reduce hours of work to minutes—some of Dan’s best are over 1,000 words long.
- Data hygiene matters: Poor data leads to poor AI outcomes. Clean, curated content is essential to avoid hallucinations and misinformation.
- Business-first mindset wins: AI should align with real business goals—whether it’s saving time, increasing revenue, or enabling new capabilities. 

🧰RESOURCES MENTIONED:
👉 GitHub Prompt Buddy - https://github.com/stuartridout/promptbuddy 
👉 Microsoft Copilot Overview - https://www.microsoft.com/en-us/microsoft-copilot/for-individuals
👉 TextExpander – https://textexpander.com 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/723
 
When Copilot went down for half a day, Bo Fischer Carlsen realized just how deeply embedded AI had become in his daily workflow. In this episode, Bo—an AI strategist from Copenhagen—shares how he's helping organizations move beyond the hype and into real-world implementation of Microsoft Copilot. From compliance challenges to training programs and maturity assessments, Bo offers a practical roadmap for integrating AI into business operations. Whether you're just starting with generative AI or scaling across departments, this conversation is packed with insights you won’t find in a product demo. 

🔑 KEY TAKEAWAYS
- Copilot is becoming indispensable: Bo shares how Copilot is quietly becoming as essential as Outlook or Teams for productivity—especially once users realize how much they rely on it.
- Training is critical for adoption: Successful AI integration starts with tailored training, beginning with Copilot Chat to build foundational understanding before moving into apps like Word and PowerPoint.
- Compliance is a major blocker: Many organizations lack the data governance needed to safely deploy AI tools. Bo emphasizes the importance of preparing legal and compliance teams early.
- Maturity assessments drive success: Bo uses multi-level assessments—individual, departmental, and organizational—to tailor AI rollouts and avoid one-size-fits-all approaches.
- Expectation management matters: Users often expect Copilot to do everything. Bo advises setting realistic expectations, especially around what Copilot can and can’t do in tools like PowerPoint. 

🧰 RESOURCES MENTIONED:
👉Microsoft Copilot for M365: https://www.microsoft.com/en-us/microsoft-365/copilot
👉 Microsoft Purview (Compliance Platform): https://www.microsoft.com/en-us/security/business/compliance/microsoft-purview
👉 EU AI Act Overview: https://artificialintelligenceact.eu
👉 Microsoft Loop: https://loop.microsoft.com
👉 Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/722
 
What happens when one person reimagines enterprise AI adoption from the ground up? In this episode, Cadie Kneip shares how she built Microsoft’s Copilot Champs community—an 8,000-strong grassroots movement—without a budget, formal mandate, or traditional training. Discover how she turned digital marketing tactics, gamification, and storytelling into a scalable model for human-first AI enablement. If you're leading tech transformation or struggling with adoption, this conversation is packed with practical inspiration. 

🔑 KEY TAKEAWAYS
- Peer influence scales faster than policy: Cadie reveals why authentic, peer-led storytelling drives deeper AI adoption than top-down training.
- Gamification works—even without a budget: Learn how badges, leaderboards, and playful incentives created momentum across Microsoft.
- Short-form content beats polished production: Bite-sized GIFs and clips proved more effective than high-production training videos in a fast-changing tech landscape.
- Digital marketing tactics apply to enterprise learning: Cadie adapted campaign strategies to build a thriving internal community.
- You don’t need a big team to make a big impact: With just one person and smart automation, Microsoft scaled Copilot readiness to thousands. 

🧰 RESOURCES MENTIONED:
👉Learn more about Microsoft’s Copilot Champs Community
Driving Microsoft 365 Copilot Adoption with Our Copilot Champs Community
Return to Summer Camp: Making Microsoft 365 Copilot Fun with Camp Copilot
Unlock your productivity: Here's our Top 10 tips for using Microsoft 365 Copilot every day
👉 Clipchamp - https://www.clipchamp.com 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/721

What happens when AI stops being hype and starts reshaping how professionals work? In this episode, Frank Falvey shares a front-line view of how Microsoft Copilot and AI agents are transforming real-world workflows—from coding and debugging to office productivity. Whether you're a developer, an information worker, or just trying to stay ahead of the curve, Frank offers practical insights into how AI is being adopted, what’s slowing it down, and how to future-proof your tech career.
 
🔑 KEY TAKEAWAYS
- AI agents are evolving fast—but enterprise adoption remains cautious, with pilot projects leading the way.
- Copilot is changing how developers code, debug, and ship software, with tools like GitHub Copilot streamlining workflows.
- Information workers are starting to use AI tools, but licensing costs are a major barrier to widespread corporate rollout.
- Keeping your skills sharp is essential, especially with foundational certifications like AI-900 becoming more relevant.
- Junior tech roles may disappear, so alternative pathways and fast-track programs are key to building future senior professionals. 

🧰 RESOURCES MENTIONED:
👉 GitHub Copilot – AI-powered coding assistant: https://github.com/features/copilot
👉 AI-900 Certification – Microsoft’s AI Fundamentals exam: https://learn.microsoft.com/en-us/certifications/ai-fundamentals/
👉 Microsoft Learn – Free training platform with practice exams: https://learn.microsoft.com
👉 StreamYard – Live streaming platform used for Frank’s Azure & AI Show: https://streamyard.com
👉 Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/720

What happens when a platform known for low-code simplicity powers mission-critical systems for governments and global banks? In this episode, solution architect Eric Regnier shares firsthand insights from mega-scale Power Platform implementations across continents. From passport systems to banking infrastructure, Eric reveals how the platform is quietly redefining enterprise-grade technology—and why many architects are still missing the memo. 

🔑 KEY TAKEAWAYS
- Power Platform is powering global-scale systems — including national passport services and major banking operations, proving its enterprise-grade capabilities.
- Enterprise architects often misjudge low-code tools — due to Microsoft’s positioning, many overlook the platform’s robustness and scalability.
- Strategic platform decisions favor Microsoft ecosystems — organizations already invested in Azure and Microsoft 365 benefit from tighter integration and cost efficiency.
- Salesforce is a frequent competitor — but Power Platform often wins due to flexibility, speed, and alignment with existing infrastructure.
- Generative AI is on the horizon — while not yet widely adopted in production, its potential to reshape solution development is significant. 

🧰RESOURCES MENTIONED:
👉 Microsoft Power Platform – https://powerplatform.microsoft.com

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/719 

What happens when AI tools like Microsoft Copilot don’t live up to the hype? Fabio Bonolo has made it his mission to turn that disappointment into transformation. In this episode, he shares how companies can move from confusion to clarity—by structuring their Microsoft 365 environments, embracing strategic adoption, and unlocking real productivity with AI. Whether you're leading change or navigating it, this conversation offers practical insights into making Copilot work for your business.
 
🔑 KEY TAKEAWAYS
- Copilot is not autopilot: Success with AI requires human input, clear prompting, and realistic expectations.
- Strategic adoption beats technical deployment: Copilot projects thrive when treated as business transformation, not just IT rollouts.
- Compliance is critical: Tools like Microsoft Purview help organizations audit AI usage and protect sensitive data.
- Copilot drives better M365 architecture: The push to adopt AI is forcing companies to rethink permissions, governance, and collaboration models.
- PowerPoint’s hidden AI features: Connecting Copilot with the Organization Asset Library unlocks dynamic, brand-consistent presentations. 

🧰 RESOURCES MENTIONED:
👉 Microsoft Copilot – https://www.microsoft.com/en-us/microsoft-copilot
👉 Microsoft Purview – https://www.microsoft.com/en-us/security/business/compliance/microsoft-purview
👉 EU AI Act – https://artificialintelligenceact.eu
👉 Copilot Studio & Agents – https://learn.microsoft.com/en-us/copilot-studio
👉 Microsoft MVP YouTube Series – How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM 

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/718

What happens when global policymakers, technologists, and lawyers converge to shape the future of AI? In this episode, Andrew Welch shares insights from the UN’s AI for Good Summit in Geneva, where 15,000 thought leaders tackled the ethical, legal, and cultural challenges of artificial intelligence. From the EU AI Act to the dominance of English in training data, this conversation explores how regulation can drive—not hinder—innovation, and why trust in AI starts with understanding its global impact.

🔑 KEY TAKEAWAYS
- AI regulation isn’t a blocker—it’s a catalyst for innovation. Like electricity, AI needs guardrails to scale safely and effectively.
- Law and tech must collaborate from the start. The EU AI Act is reshaping how companies approach compliance, ethics, and product development.
- Global AI capacity is dangerously concentrated. 90% of AI infrastructure is controlled by just two countries, raising sovereignty concerns.
- Language bias in AI is real and consequential. With 50% of the internet in English, cultural perspectives risk being lost in model training.
- Open-source AI tools empower—but also endanger. Democratized access means individuals can build powerful systems, for better or worse.
 
🧰 RESOURCES MENTIONED:
👉 AI for Good Global Summit – https://aiforgood.itu.int
👉 EU AI Act Overview – https://artificialintelligenceact.eu 
👉 Centre for Trustworthy AI (Microsoft) – No direct URL mentioned, but referenced throughout 
Book: Calling Bullsht: The Art of Skepticism in a Data-Driven World* – by Carl T. Bergstrom and Jevin D. West 
👉 Song: “Boy in the Bubble” by Paul Simon – Inspiration for Andrew’s upcoming article 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/717

What if your AI agent could not only retrieve facts but reason with them—just like a human? In this episode, Farzad Sunavala, Principal Product Manager at Microsoft, takes us inside the world of Retrieval-Augmented Generation (RAG), the architecture powering the next wave of intelligent agents. From solving hallucinations to building memory into AI systems, Farzad shares practical insights for professionals looking to build scalable, high-quality AI solutions that actually work in the real world.
 
🔑 KEY TAKEAWAYS
- RAG is foundational for AI agents: Retrieval-Augmented Generation solves key limitations of LLMs by grounding them in real-time, private data.
- Metadata is your best friend: Rich metadata and filtering techniques dramatically improve retrieval quality and reduce noise in enterprise AI systems.
- Memory is the next frontier: Embedding memory into agents—via tools like Semantic Kernel—enables learning, unlearning, and contextual recall.
- AI engineering is evolving fast: Developers must move beyond conventional software practices and embrace ML Ops, vector databases, and open-source frameworks.
- Start small, iterate smart: Building ground-truth datasets and synthetic Q&A pairs is a high-ROI strategy for evaluating and improving AI agent performance. 

🧰 RESOURCES MENTIONED:
👉 Azure AI - https://ai.azure.com/
👉 Azure AI Search – https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search or https://azure.microsoft.com/en-us/products/ai-services/ai-search/
👉 Microsoft Fabric – https://www.microsoft.com/en-us/microsoft-fabric
👉 Semantic Kernel (Open Source) – https://github.com/microsoft/semantic-kernel
👉 LangChain – https://www.langchain.com/
👉 LlamaIndex – https://www.llamaindex.ai/
👉 CrewAI – https://www.crewai.com/ 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith