Globální kanál Microsoftu pokrývá široké spektrum témat od nových produktů a služeb až po inspirativní příběhy o využití technologií. YouTube videa zahrnují prezentace novinek, ukázky z konferencí a případové studie z různých odvětví. Kanál je strategický, zaměřený na inovace a digitální transformaci.
The race is only the part you see.
Behind every lap are 2,000 people working together across engineering, strategy, manufacturing, software, and operations.
See how the Mercedes-AMG PETRONAS F1 Team and Microsoft work together to make thousands of decisions that shape race day performance.
Learn more: https://www.aka.ms/mf1
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In this WorkLab podcast clip, Andy Doyle, Kantar's Chief People and Agent Officer, lays out the new math facing enterprises: tech cost, labor cost, and token cost—and how to triangulate all three in a way that makes sense.
The real question isn't the individual budgets, it's what this costs you overall—and where you deploy technology and super agents versus where you put people. Until now, that choice was forced on you by the availability of technology and the skillsets you had. Now leaders have real choices to make about how to deploy people in the best way.
In this WorkLab podcast clip, Andy Doyle, Kantar's Chief People and Agent Officer, explains why deploying AI isn't the same as adopting it. Most tech organizations can say they've turned it on and put Copilot in the ecosystem—but that's not where adoption happens.
The real gap is skills and fear: people don't know how to experiment, and they're scared to fail or to build an agent. Doyle's takeaway from building agents himself—you're not failing, you're iterating. You just haven't succeeded yet.
When market research firm Kantar handed Copilot licenses to every employee, chaos and creativity erupted. Andy Doyle, Kantar Chief People and Agent Officer, joins the WorkLab podcast to share how a wave of maverick experimentation led to 15,000 agents—and the birth of an "agent factory" that's reshaping the enterprise.
Hear how frontline innovators, influencer evangelists, and a wild diversity of agent builders forced leaders to rethink control, scalability, and what's possible when you let people drive the AI transformation.
00:00 - "You're not failing, you're iterating"
01:08 - Kantar created a Chief People & Agent Officer
02:51 - Addressing employee anxiety about AI
03:19 - Managing people and agents together
03:58 - Kantar's AI transformation began
05:28 - Moving from pilot to company-wide adoption
06:48 - 85% daily Copilot usage
07:24 - Kantar built 15,000 agents
08:20 - Inside Kantar's agent factory
09:33 - No-code, low-code, and pro-code agents
12:43 - HR agent: 3 days to 120 seconds
16:09 - AI improved work quality
17:54 - ROI: tech cost, labor cost, token cost
21:43 - "Are you announcing a reduction in workforce?"
28:10 - AI advice for leaders: focus on people
Find this episode on:
Apple Podcasts: https://podcasts.apple.com/us/podcast...
Spotify: https://open.spotify.com/show/2vApnLW...
WorkLab Podcast: https://www.microsoft.com/en-us/workl...
About the WorkLab Podcast:
Join host Molly Wood as she explores what leaders need to know to prepare their organizations for the innovations and disruptions that are transforming the way we work. Listen to her conversations with leading economists, technologists, and researchers on everything from how to use AI effectively to what it takes to thrive in a digital age.
For more insights on the future of work, visit: https://www.microsoft.com/en-us/worklab/
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In this WorkLab podcast clip, Allie K. Miller, AI leader, investor, and former Global Head of Machine Learning at AWS, calls out a growing leadership gap: many executives are setting AI strategy and driving AI transformation without hands-on experience using AI tools and agents themselves.
The result? Missed opportunities and strategies that don't translate into real change. The strongest organizations combine top-down vision with bottom-up experimentation to accelerate AI adoption, build effective AI strategies, and unlock business transformation.
In this WorkLab podcast clip, Allie K. Miller, AI leader, investor, and former Global Head of Machine Learning at AWS, explains why treating AI like traditional software limits its impact.
Real transformation happens when organizations rethink business models, processes, and entire operating structures—not just productivity gains.
In this WorkLab podcast clip, Allie K. Miller, CEO of Open Machine and former Global Head of Machine Learning at AWS, shares the three skillsets she looks for in an AI-first world: high agency, a strong sense of curiosity, and systems thinking.
It’s not just about using AI tools. It’s about how you experiment, adapt, and navigate increasingly complex, multi-agent systems. As AI adoption accelerates, these skills are becoming essential for professionals and leaders to succeed in an AI-powered workplace.
What does it take to move the needle with AI? Top AI voice Allie K. Miller joins WorkLab to share why some of the biggest advances aren’t coming from the usual places—or people. She explains how organizations can unlock new value by giving unconventional thinkers room to experiment, why speed and iteration matter more than perfection, and how leaders can turn edge ideas into real business impact. Plus: how agentic workflows, voice interfaces, and cross-disciplinary teams are reshaping the future of work.
00:00 AI is not a tool
02:40 The third shift: Multi-agent AI
05:07 Why leaders feel AI anxiety
11:02 The productivity trap
14:56 Three skills for the AI age
20:34 Why AI transformation is a people problem
25:03 Managing an AI agent workforce
28:00 Building an AI layer for your company
33:41 The exponential pace of AI change
38:12 What leaders should do in the next 30 days
Find this episode on:
Apple Podcasts: https://podcasts.apple.com/us/podcast...
Spotify: https://open.spotify.com/show/2vApnLW...
WorkLab Podcast: https://www.microsoft.com/en-us/workl...
About the WorkLab Podcast:
Join host Molly Wood as she explores what leaders need to know to prepare their organizations for the innovations and disruptions that are transforming the way we work. Listen to her conversations with leading economists, technologists, and researchers on everything from how to use AI effectively to what it takes to thrive in a digital age.
For more insights on the future of work, visit: https://www.microsoft.com/en-us/worklab/
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Microsoft CVP of Workforce Transformation Katy George on how to spot where AI actually adds value in a workflow—and why measuring ROI gets harder the deeper you go.
The most valuable AI opportunities aren't always the easiest to measure. Katy George explains why teams should first understand their workflows, identify where AI can create value, and recognize that ROI often becomes harder to quantify the deeper AI is embedded into the way work gets done.
There are only 75 southern resident orcas left in the world, and they rely on sound to survive.
Bioacoustics is helping protect their habitat in Washington's Salish Sea by helping to reduce underwater noise. Microsoft recently partnered with Sea Mammal Research Unit Consulting and Washington Maritime Blue to search for the acoustic signatures of marine life beneath the waves—sending AI-powered, real-time alerts to mariners to slow down their ships to reduce underwater noise pollution.
What once took weeks or days to analyze, AI can now process in minutes. For critically endangered species, those minutes can make all the difference.
Get the full story on Unlocked and discover how AI is helping protect endangered orcas through real-time acoustic monitoring and conservation technology.
Learn More at Unlocked - https://unlocked.microsoft.com/blue-sparrow-orca-conservation/
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Microsoft CVP of Workforce Transformation Katy George on why AI transformation isn't a one-and-done event—it's the new reality of work. As AI continues to evolve, organizations and employees must adapt, learn, and reshape how work gets done.
Rigid org charts are becoming a barrier to AI-fueled business impact.
Microsoft's CVP of Workforce Transformation Katy George joins WorkLab host Molly Wood to share how forward-thinking companies are breaking down silos, building teams around skills, and embracing constant change.
Discover why adaptability, curiosity, and a willingness to reinvent yourself are the new must-haves for leaders and employees—and how your organization can unleash human capability in the AI era.
Chapters:
00:00 – AI transformation never ends
00:22 – Introducing Katy George and workforce transformation
01:38 – AI transforming work inside Microsoft
03:15 – AI adoption is harder than expected
08:48 – AI is a business transformation, not a product launch
13:00 – AI adds capabilities, not just productivity
16:45 – Why measuring AI ROI is so difficult
18:51 – Why skills matter more than job titles
20:19 – The experimentation mindset leaders need
25:54 – This is the best way to learn AI
26:56 – The AI time-management trick you need
Find this episode on:
- Apple Podcasts: https://podcasts.apple.com/us/podcast/worklab/id1582908812
- Spotify: https://open.spotify.com/show/2vApnLW5XfXoP8WDYGzFkT
- WorkLab Podcast: https://www.microsoft.com/en-us/worklab/podcast/
About the WorkLab Podcast:
Join host Molly Wood as she explores what leaders need to know to prepare their organizations for the innovations and disruptions that are transforming the way we work. Listen to her conversations with leading economists, technologists, and researchers on everything from how to use AI effectively to what it takes to thrive in a digital age.
For more insights on the future of work, visit: https://www.microsoft.com/en-us/worklab/
**
To coincide with the Americas' 250th celebration, Microsoft unveiled an AI experience that lets visitors have a conversation with U.S. President Theodore Roosevelt at the new Theodore Roosevelt Presidential Library. And who better to put our avatar to the test than American historian Doris Kearns Goodwin?
The result was a conversation across time. Powered by Microsoft technology and built on Roosevelt’s writings, speeches, letters, and historical records, this experience shows how technology can make archives more accessible, scholarship more dynamic, and history more engaging for a new generation.
Infrastructure doesn't just move people and goods—it moves a nation forward.
George Washington recognized this in 1785 when he gazed out on the Potomac and saw much more than a river. He saw a means to connect a nation. He knew engineering was only half of the challenge. The rest was bringing people together and forging an agreement that would serve the local community. More than two centuries later, as we build the digital infrastructure of our own era, this lesson still holds.
Episode 1: https://youtu.be/SfUH9ENJCko
Episode 2: https://youtu.be/FGftt6llon0
Episode 3: https://youtu.be/3zmSrRWDpKk
Episode 4: https://youtu.be/CvB_VBSF-mk
Episode 5: https://youtu.be/2MjbwnXArD0
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If a workflow is broken, AI won't fix it.
WorkLab podcast clip. Rana el Kaliouby, AI scientist and entrepreneur (formerly CEO of Affectiva), shares a critical insight: too many organizations apply AI to problems that don't need solving or to workflows that aren't working.
Real impact comes from focusing on outcomes first and redesigning workflows before layering in AI. Otherwise, organizations risk scaling inefficiency instead of creating value.