Die 3 Level der KI-Integration - AI-Adoption, AI-Adaption & AI-Transformation
๐ฅ Adoption, Adaption, Transformation: Wie KI unsere Arbeitswelt verรคndert! ๐คโจ๐ง In diesem Video tauchen wir in die Welt der KI-Integration ein und beleucht...
๐ฅ๐ฒ๐ถ๐ฐ๐ต๐๐ฒ๐ถ๐๐ฒ๐ป-๐.๐ข. ๐ณรผ๐ฟ ๐๐ถ๐ฒ๐น๐ฒ ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ๐. Erst wandern Suchanfragen von Google zu ChatGPT - jetzt beantwortet sie Google direkt in den AI-Overviews.
๐จ Studien zeigen bereits hohe Traffic-Rรผckgรคnge.
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Was kรถnnen Redakteure und Publisher tun?
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๐ Deshalb bin ich mit Matthรคus Michalik in den Podcast-Ring gestiegen:
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Wir haben 2 Folgen aufgenommen: ๐๐๐ข ๐๐๐ฎ๐๐ ๐ฆ๐๐ข & ๐ช๐ถ๐ฒ ๐ฝ๐น๐ฎ๐๐๐ถ๐ฒ๐ฟ๐ฒ๐ป ๐๐ถ๐ฟ ๐๐ป๐ ๐ถ๐ป ๐ฑ๐ฒ๐ป ๐๐-๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐?
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Als Teaser fรผr euch:
4๏ธโฃ Sofort-Tipps fรผr GEO (Generative Engine Optimization)
1. Autoritรคt & Vertrauen belegen
๐ธ Quellen, Zitate und fachliche Referenzen explizit nennen.
๐ธErgebnis: bis zu +40 % hรถhere Wahrscheinlichkeit, in KI-Antworten zitiert zu werden.
2. Zahlen sprechen lassen
๐ธStatistiken, Studien-Daten und eigene Benchmarks einbauen.
๐ธKI-Modelle gewichten quantitative Infos stรคrker โ +30 % Relevanz-Boost.
3. Klare Struktur, einfache Sprache
๐ธKurze Absรคtze, Bullet-Points, FAQs, sprechende Zwischenยญรผberschriften.
๐ธErleichtert Parsing durch LLMs und erhรถht die Chance auf direkte รbernahme.
4. Gezielter Fachwort-Einsatz
๐ธRelevante Terminologie und Branchen-Jargon bewusst einstreuen.
๐ธSignalisiert Expertise und verbessert das Matching fรผr spezifische Nutzerยญanfragen.
โผ๏ธ Kurzformel: Autoritรคt + Daten + Klarheit + Terminologie = Sichtbarkeit Chat-Antworten.
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๐ฆ๐ถ๐ฐ๐ต๐๐ฏ๐ฎ๐ฟ๐ธ๐ฒ๐ถ๐ ๐ถ๐ป ๐๐ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐ โ ๐ฑ๐ฎ๐ ๐บ๐๐๐๐ ๐ฑ๐ ๐ฏ๐ฒ๐ฎ๐ฐ๐ต๐๐ฒ๐ป
๐ธGrundvoraussetzung: Deine Seite muss im Google-Index stehen und bereits ein gewisses Vertrauensniveau besitzen. Dann gilt:
๐ธHochwertige, faktenbasierte Inhalte: prรคzise, recherchiert, aktuell.
๐ธKlare Struktur: H-รberschriften, Listen, Tabellen โ erleichtert Parsing.
๐ธStrukturierte Daten (Schema.org): zeigt der KI, was welche Bedeutung hat.
๐ธUX & Performance: schnelle Ladezeiten, sauberes Mobile-Design.
๐ธE-E-A-T pflegen: Expertise, Erfahrung, Autoritรคt, Vertrauen kontinuierlich belegen (Autorenยญprofile, Quellen, Backlinks).
๐ด ๐ฃ๐ฟ๐ฎ๐ ๐ถ๐-๐ง๐ถ๐ฝ๐ฝ๐ ๐ณรผ๐ฟ ๐ฑ๐ถ๐ฒ ๐ฃ๐ผ๐๐-๐ฆ๐๐ข-ร๐ฟ๐ฎ
โ๏ธ Qualitรคt vor Quantitรคt โ fewer, deeper pieces mit klarer Expertise.
โ๏ธStruktur first โ H-Tags, Bullet-Points, FAQ-Blรถcke, Schema.
โ๏ธUser Experience optimieren โ Speed, Navigation, mobile UX.
โ๏ธMehrwert รผber die KI hinaus โ eigene Daten, Cases, Meinungen.
โ๏ธTraffic-Quellen streuen โ Social, E-Mail, Communities, Partnerschaften.
โ๏ธMonitoring & Anpassung โ beobachte, welche Seiten in AI Overviews landen, und iteriere.
โ๏ธMultimedial denken โ Videos, Podcasts, Infografiken ergรคnzen Text.
โ๏ธE-E-A-T kontinuierlich stรคrken โ Fachautor:innen, Referenzen, Reviews, Backlinks.
๐๐๐ฟ๐ยญ๐ณ๐ผ๐ฟ๐บ๐ฒ๐น: Qualitรคt + Struktur + Mehrwert + Vertrauen + Channel-Mix = langfristige Sichtbarkeit โ auch in der KI-Suche.
โ Wie geht ihr den Battle um Sichtbarkeit und Traffic an? Lasst uns diskutieren. ๐ | 12 Kommentare auf LinkedIn
Wenn Du nochmal bei 0 starten kรถnntest, wie wรผrdest du eine Daten- und KI-Organisation aufbauen?
Genau das wollte ich von Claudia Pohlink wissen, die eine beeindruckende Karriere in der Daten- und KI-Welt bei Telekom, Deutsche Bahn und FIEGE hingelegt hat.
Also, wie sieht der Anti-Hype Blueprint aus?
๐ญ. ๐ฆ๐๐ฎ๐บ๐บ๐ฑ๐ฎ๐๐ฒ๐ป ๐ฑ๐ฒ๐ณ๐ถ๐ป๐ถ๐ฒ๐ฟ๐ฒ๐ป ๐๐ป๐ฑ ๐๐๐ฟ๐๐ธ๐๐๐ฟ๐ถ๐ฒ๐ฟ๐ฒ๐ป
Starte mit der Definition deiner Kerndomรคnen und Stammdaten. Bestimme fรผhrende Systeme fรผr jede Datendomรคne, bevor du Tools auswรคhlst. Dies schafft ein stabiles Fundament fรผr alle KI-Aktivitรคten.
๐ฎ. ๐๐ฟ๐๐๐ฒ ๐๐ฟ๐ณ๐ผ๐น๐ด๐๐ด๐ฒ๐๐ฐ๐ต๐ถ๐ฐ๐ต๐๐ฒ ๐๐ฐ๐ต๐ฟ๐ฒ๐ถ๐ฏ๐ฒ๐ป
Identifiziere einen ersten Use Case, zum Beispiel mit dem Controlling-Bereich, wo bereits Datenaffinitรคt besteht. Zeige schnelle Erfolge, um Management-Support zu gewinnen.
๐ฏ. ๐๐ฎ๐ ๐ฏ-๐๐ฎฬ๐๐๐ฒ๐ฟ-๐ ๐ผ๐ฑ๐ฒ๐น๐น ๐ถ๐บ๐ฝ๐น๐ฒ๐บ๐ฒ๐ป๐๐ถ๐ฒ๐ฟ๐ฒ๐ป
โข House of Data: Grundlagen, Governance, Architektur
โข House of AI: Use Cases, Data Scientists, Engineers
โข House of 3C: Change, Communication, Community
Diese 3 Bereiche sollten zu gleichen Teilen aufgebaut werden. Keiner kann ohne den anderen fรผr nachhaltige Daten- und KI-Implementierung. Die Leads sollten zu Beginn intern aufgebaut werden, extern kรถnnen operative Ressourcen zugekauft werden.
๐ฐ. ๐๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ ๐๐๐ถ๐๐ฐ๐ต๐ฒ๐ป ๐๐ฒ๐ป๐๐ฟ๐ฎ๐น ๐๐ป๐ฑ ๐ฑ๐ฒ๐๐ฒ๐ป๐๐ฟ๐ฎ๐น ๐ณ๐ถ๐ป๐ฑ๐ฒ๐ป
Etabliere zentrale Standards und Koordination, befรคhige aber gleichzeitig dezentrale Teams durch Multiplikatoren-Ideen wie KI-Awards, Schulungen und Hackathons. Laut Claudia ist diese Balance eine der grรถรten Herausforderungen in der Umsetzung.
๐ฑ. ๐ฃ๐ฟ๐ฎ๐ด๐บ๐ฎ๐๐ถ๐๐ฐ๐ต ๐ฝ๐น๐ฎ๐ป๐ฒ๐ป ๐๐๐ฎ๐๐ ๐๐ต๐ฒ๐ผ๐ฟ๐ฒ๐๐ถ๐๐ถ๐ฒ๐ฟ๐ฒ๐ป
Erstelle 6-12-Monats-Plรคne statt langfristiger Strategien. Dokumentiere Erfahrungen systematisch, auch Misserfolge, und passe deine Plรคne regelmรครig an.
Ich weiร, wie viele Mittelstรคndler vor der groรen Aufgabe stehen, Daten- und KI-Kompetenzen und Strukturen im Unternehmen aufzubauen.
Claudia's Erfahrungen sind eine echte Schatzkiste.
Ganz ohne Buzzwords, Hype oder Selbstprofilierung.
Claudia, 1000 Dank fรผr deine Offenheit und dass du uns an deinen Erfahrungen teilhaben lรคsst!
Was sagt ihr zum Blueprint? | 22 Kommentare auf LinkedIn
Mit seinem AI Mode und dem Agenten Mariner zieht Google eine Plattformschicht รผber das offene Web. Google transformiert sich von einer klassischen Suchmaschine zum zentralen Marktplatz, Assistenten und Zahlungsdienstleister. Nutzer kรถnnen kรผnftig Produkte direkt in der Google-Suche finden, vergleichen, kaufen und bezahlen โ ohne die Plattform zu verlassen.
Diese Entwicklung hat weitreichende Folgen fรผr das gesamte Internet-รkosystem. Die Auswirkungen treffen nicht nur klassische Online-Hรคndler, sondern auch Marktplatzgiganten wie Amazon, Verlage, รbersetzungsdienste wie DeepL, Reservierungsanbieter wie OpenTable, Buchungsseiten wie Ticketmaster oder Sprachschulen wie Duolingo.
Wer weiterhin sichtbar und relevant bleiben will, muss sich auf die neuen Spielregeln einstellen, in KI-Overviews und Shopping-Graphen prรคsent sein und seine Inhalte fรผr KI-Systeme optimieren. Denn OpenAI baut etwas รhnliches auf und auch Amazon bewegt sich in diese Richtung. Der Wettstreit der Plattformen ist damit endgรผltig im KI-Zeitalter angekommen.
Weiterlesen auf F.A.Z. PRO Digitalwirtschaft (โฌ) โถ๏ธ https://lnkd.in/e-r8k7upโฌ
Frankfurter Allgemeine Zeitung
In a new paper, British philosopher Andy Clark (author of the 2003 book Natural Born Cyborgs, see comment below) offers a rebuttal to the pervasive anxiety surrounding new technologies, particularly generative AI, by reframing the nature of human cognition.
In a new paper, British philosopher Andy Clark (author of the 2003 book Natural Born Cyborgs, see comment below) offers a rebuttal to the pervasive anxiety surrounding new technologies, particularly generative AI, by reframing the nature of human cognition. He begins by acknowledging familiar concerns: that GPS erodes our spatial memory, search engines inflate our sense of knowledge, and tools like ChatGPT might diminish creativity or encourage intellectual laziness. These fears, Clark observes, mirror ancient worries, like Platoโs warning that writing would weaken memory, and stem from a deeply ingrained but flawed assumption: the idea that the mind is confined to the biological brain.
Clark challenges this perspective with his extended mind thesis, arguing that humans have always been cognitive hybrids, seamlessly integrating external tools into our thinking processes. From the gestures we use to offload mental effort to the scribbled notes that help us untangle complex problems, our cognition has never been limited to what happens inside our skulls. This perspective transforms the debate about AI from a zero-sum game, where technology is seen as replacing human abilities, into a discussion about how we distribute cognitive labour across a network of biological and technological resources.
Recent advances in neuroscience lend weight to this view. Theories like predictive processing suggest that the brain is fundamentally geared toward minimising uncertainty by engaging with the world around it. Whether probing a riverโs depth with a stick or querying ChatGPT to clarify an idea, the brain doesnโt distinguish between internal and external problem-solvingโit simply seeks the most efficient path to resolution. This fluid interplay between mind and tool has shaped human history, from the invention of stone tools to the design of modern cities, each innovation redistributing cognitive tasks and expanding what we can achieve.
Generative AI, in Clarkโs view, is the latest chapter in this story. While critics warn that it might stifle originality or turn us into passive curators of machine-generated content, evidence suggests a more nuanced reality. The key, Clark argues, lies in how we integrate these technologies into our cognitive ecosystems.
https://lnkd.in/gUmxE57w | 41 comments on LinkedIn
Microsoft Build 2025 Keynote: Everything Revealed, in 14 Minutes
Watch CEO Satya Nadella unveil all the biggest product moves, including Copilot and Azureย updates, developer tools, and more, from Seattle.0:00 Intro0:14 Bui...
๐๐ ๐/๐ข 2025, Google ๐๐ต๐ผ๐๐ฒ๐ฑ ๐๐ ๐๐ต๐ฎ๐ ๐๐-๐ณ๐ถ๐ฟ๐๐โฆ | Andreas Horn | 61 comments
๐๐ ๐/๐ข 2025, Google ๐๐ต๐ผ๐๐ฒ๐ฑ ๐๐ ๐๐ต๐ฎ๐ ๐๐-๐ณ๐ถ๐ฟ๐๐ ๐ฅ๐๐๐๐๐ฌ ๐บ๐ฒ๐ฎ๐ป๐. ๐๐ฒ๐ฟ๐ฒโ๐ ๐๐ต๐ฎ๐ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ฎ๐ป๐ป๐ผ๐๐ป๐ฐ๐ฒ๐ฑ: โฌ๏ธ
The company's flagship developer event Google I/O 2025 was held last night in Mountain View, California.
๐ง๐๐๐ฅ: Google is turning Gemini into the AI operating system for everything โ with agents now embedded across Search, Chrome, Workspace, Android, and more.
If you donโt have time for the full event, hereโs a curated ๐๐๐ฝ๐ฒ๐ฟ๐ฐ๐๐ of the highlights that really matter.
๐๐ฒ๐ ๐บ๐ผ๐บ๐ฒ๐ป๐๐ ๐ณ๐ฟ๐ผ๐บ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐/๐ข ๐ฎ๐ฌ๐ฎ๐ฑ:
0:00 ๐๐ป๐๐ฟ๐ผ โ AI-native from the ground up
0:11 ๐๐ฒ๐บ๐ถ๐ป๐ถ ๐ฝ๐น๐ฎ๐๐ ๐ฎ ๐ฃ๐ผ๐ธ๐ฒ๐บ๐ผ๐ป ๐ด๐ฎ๐บ๐ฒ โ memory, reasoning, and code
0:30 ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐ฒ๐ฎ๐บ โ Real-time 3D video chat with AI
1:08 ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ ๐ฒ๐ฒ๐ โ Speech-to-speech translation, live
1:27 ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐ ๐ฎ๐ฟ๐ถ๐ป๐ฒ๐ฟ โ AI agents that book, plan, filter, decide
2:07 ๐ฃ๐ฒ๐ฟ๐๐ผ๐ป๐ฎ๐น ๐๐ผ๐ป๐๐ฒ๐ ๐ โ Gemini gets memory and task awareness
2:40 ๐๐ฒ๐บ๐ถ๐ป๐ถ ๐ฎ.๐ฑ ๐ฃ๐ฟ๐ผ + ๐๐น๐ฎ๐๐ต โ New SOTA models, LMArena leader
4:57 ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐๐๐๐ฟ๐ฎ โ Multimodal, fast-response agent that sees and hears
5:32 ๐๐ ๐ ๐ผ๐ฑ๐ฒ โ Overlay for restaurants, bookings, prices, events
7:10 ๐ฆ๐ต๐ผ๐ฝ๐ฝ๐ถ๐ป๐ด โ Track, compare, and auto-buy with Google Pay
8:34 ๐๐ฒ๐บ๐ถ๐ป๐ถ ๐๐ถ๐๐ฒ โ Screen sharing + live AI guidance
8:59 ๐๐ฒ๐ฒ๐ฝ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ด๐ฒ๐ป๐ โ Upload files, get insights
9:12 ๐๐ฎ๐ป๐๐ฎ๐ โ Live, collaborative AI whiteboard
9:31 ๐๐ฒ๐บ๐ถ๐ป๐ถ ๐ถ๐ป ๐๐ต๐ฟ๐ผ๐บ๐ฒ โ AI understands and acts on any webpage
9:51 ๐๐บ๐ฎ๐ด๐ฒ๐ป ๐ฐ โ Next-gen image generation
10:23 ๐ฉ๐ฒ๐ผ ๐ฏ โ Ultra-realistic video model
11:01 ๐๐๐ฟ๐ถ๐ฎ ๐ฎ โ AI-powered music composition
11:56 ๐๐น๐ผ๐๐ โ Multimodal, promptable AI video creation
12:39 ๐๐ป๐ฑ๐ฟ๐ผ๐ถ๐ฑ ๐ซ๐ฅ โ AI-first spatial computing
12:57 ๐ฆ๐ฎ๐บ๐๐๐ป๐ด ๐ ๐ผ๐ผ๐ต๐ฎ๐ป โ Googleโs XR headset revealed
13:16 ๐๐ถ๐๐ฒ ๐ด๐น๐ฎ๐๐๐ฒ๐ ๐ฑ๐ฒ๐บ๐ผ โ Gemini + XR = real-time AI overlay
Super insightful and forward-looking: Googleโs AI strategy just went full stack. Even if some of these projects donโt make it past the prototype stage, the direction is obvious: AI is being integrated into everything. LLMs โ Gemini, in this case โ are rapidly becoming the new operating system and everything will be powered by AI Agents across all products.
Full keynote: https://lnkd.in/dPFFtyZ9
Supercut: https://lnkd.in/d-eBNGjw
Enjoy watching! | 61 comments on LinkedIn
Recent research showed that every 7 months AI doubles the length (in human time taken) of the task they can solve. AI researcher Toby Ord has built on the original study to show that AI success probability declines exponentially with task length, defining model capabilities with a โhalf-life.โ
One of the most interesting things about the original research is that it provides a clear metric for measuring AI performance improvement that is not tied to benchmarks that keep on being superceded, needing new benchmarks.
We can now rank AI models and agents by their half-life - the time for human tasks for which they achieve 50% success rate.
Of course we are usually more interested in models that can achieve 99+% success rates - depending on the task - but the relative consistency of the half life decay means the T50 threshold predicts whatever success rate we aim for, both today, and at future dates if the original trend holds
Generally the decay is due to cumulative errors or going off course. But the decay is not always consistent, as there can be subtasks of uneven difficulty, or agents can recover from early mistakes.
Interestingly, humans don't follow pure exponential decay curves. Our success rate falls off more slowly over very long tasks, suggesting we have broader context, allowing us to recover from early mistakes.
The research was applied to tasks in research or software engineering. The dynamics of this performance evolution may or may not apply to other domains.
Certainly, this reframing of assessing the development of AI capabilities and its comparison to human work is a very useful advance to the benchmarking approach.
HR + IT; The Future of Work? That question has been on my mind since I first read about Moderna merging its HR and Tech departments. They are redefining what it means to be a future-ready company.
Hereโs what I take away:
๐ซ HR is no longer just about people.
๐ซ IT is no longer just about systems.
โ The real value lies in how people and systems interactโseamlessly, intelligently, adaptively.
Letโs be honest, most organizations still operate in silos:
- HR builds talent and culture
- IT builds systems and infrastructure
But the future of work is all about integration. What if you make that happen?
Think about it: Can you redesign work itself?
Not roles. Not org charts. But the actual FLOW of work.
Because thatโs what Modernaโs doing. They are reimagining how humans and machines co-create value. IBM is doing the same. They use HR AI agents that handle questions, routes issues, and manage HR processes.
This isnโt about cutting costs. Itโs about building a business that adapts faster to the next disruption. They are building resilience.
I recognize that HR and IT both have unique complexities, and in many companies are simply too far apart or too large merge shortly.
Still, it still got me thinking. As an HR leader:
-> How comfortable are you with data, automation, and AI?
-> Could you confidently lead both people strategy and digital infrastructure?
-> What would need to change for that answer to be yes?
This isnโt a tech conversation.
Itโs an organization and leadership revolution.
The next era of HR wonโt be like today's HR at all. It will be integrated, tech-savvy, and central to how business gets done.
Time to level up. Are you ready?
#futureofwork #hrtech #ai
Picture and story credits: Isabelle Bousquette ๐ | 34 comments on LinkedIn
Research on over 3500 workers points to two outcomes from use of GenAI: immediate performance boosts, and a decrease in motivation and increase in boredom whenโฆ
switching to non-augmented tasks.
It is definitely interesting research, but I am very cautious about the conclusions reached by the authors, partly since they are to a degree contradictory, and also not necessarily generalizable.
The authors implicitly criticize AI for removing the โmost cognitively demanding partsโ of work, implying that this reduces fulfillment. But the outputs and productivity are clearly improved. Are they suggesting workers create inferior output for the sake of engagement?
It is worth noting that other recent research points to improved emotion and engaement with genAI collaboration. The emotional impact of genAI collaboration will vary substantially across use cases, especially with the nature of the task, and certainly with the cultural context. It appears the use case here was performance reviews, which is not representative of many other types of cognitive work.
The authors also say that AI-assisted tasks reduce usersโ sense of control, thus lowering motivation. But they say this sense of control is restored during subsequent solo tasks, even though those are when boredom and disengagement rise.
Having said that, for some tasks and work design the issues they raise could be real and substantial. These are the sound remedies they suggest:
โก๏ธBlend AI and Human Contributions:
Use gen AI as a foundation for tasks while encouraging humans to personalize, expand, and refine outputs to retain creativity and ownership.
โก๏ธDesign Engaging Solo Tasks:
Follow AI-supported work with autonomous, creative tasks to help employees stay motivated and exercise their own skills.
โก๏ธMake AI Collaboration Transparent:
Clearly communicate AIโs supporting role to preserve employeesโ sense of control and fulfillment in their contributions.
โก๏ธRotate Between Tasks:
Alternate between independent and AI-assisted tasks to maintain engagement and productivity throughout the workday.
โก๏ธTrain Employees to Use AI Mindfully:
Provide training that helps employees critically and strategically integrate AI, strengthening their autonomy and judgment.
Best AI Tools for Deep Research (Ranked by a PhD, Not Hype)
Today, Iโm diving into the world of deep research tools to find out which platforms are truly the most helpful for academic work. โผ โฝ Sign up for my FREE new...
To stop playing catch-up and stay ahead of AI, we need to form a point of view on the future of work. A POV on FOW, if you will.
There is a lot of talk about how L&D needs to be proactive, not reactive. But how do we do that when technology is moving so fast?
It starts with having a point of view on where the world of work is headed, and then building a bridge to that future. Because if we only make incremental changes from where we are now, we'll likely be playing catch-up for a long timeโand risk preparing people for the work of today, not tomorrow.
Here are some of the forces I think about a lot these days:
๐ AI seems to be denting the supply of entry level jobs. What does that mean for the talent pipeline later down the line? And how should we onboard the graduates that *do* get employed so they can add value on top of AI?
๐ AI gets lower performers closer to higher performers (HBS & BCG study), and individuals working with AI match the performance of *teams* without AI (HBS & P&G study). How do we evaluate, recognise and enhance expertise in such a world?
๐ Vibe coding/marketing/learning/something else, single founder unicorns, service-as-a-software (not software-as-a-service!) and zero latency economy are just some of the predictions that would affect both the nature and pace of work. What support would our people and organisations need to adapt?
L&D isn't short on AI tools. What we need is a visionโto imagine how AI will reshape performance, learning, and the world of work at large. And, ultimately, what L&D needs to ๐ฃ๐ฆ๐ค๐ฐ๐ฎ๐ฆ to have a role in it.
Nodes #AI #HR #Learning #Talent #FutureOfWork | 12 comments on LinkedIn
In their โthousand flowersโ strategy J&J seeded 900+ GenAI use cases. Using clear metrics they found that 10โ15% of these drove 80% of the value, and pivoted to focusing on fewer scalable, high-impact use cases.
In my work with boards and exec teams one of the pointed questions is always the degree of focus in AI initiatives. Johnson & Johnson's divergent-convergent strategy is highly instructive.
Some commentators have suggested that this means the use case proliferation was a mistake. J&J's CIO doesn't see it like that.
"You had to take an iterative approach to say, โWhere are these technologies useful and where are they not?โ... We had the right plan three years ago, but we matured our plan based on three years of understanding,โ
Leaders cannot know in advance where the value will emerge. The challenge is to select the right scope of experimenation before selecting focus use cases.
Another shift was from centralized AI by a board governance to function-specific ownership such as commercial, R&D, and supply chain, enabling better prioritization and faster iteration.
Again, these models suit different phases of the AI adoption journey. Most organizations are far earlier than J&J, which has strong maturity.
On metrics:
"The company is tracking progress in three buckets: first, the ability to successfully deploy and implement use cases; second, how widely they are adopted; and third, the extent to which they deliver on business outcomes."
I strongly suspect that they are not using a "win rate" on their use case success. There are similarities to VC portfolios, where a few big wins make all the investments worthwhile. | 12 comments on LinkedIn
3.000 KI-Assistenten integriert in alle Teams. Das ist die KI-Reise vonโฆ | Felix Schlenther | 12 Kommentare
3.000 KI-Assistenten integriert in alle Teams.
Das ist die KI-Reise von Moderna:
โItโs hard to conveyโwithin the hypeโhow much AI is changing things and how much Moderna is using it across the boardโ
Dieses Zitat von Wade Davis, Modernas Head of Digital for Business, zeigt sehr schรถn wie schwer der allumfassende Wandel von KI zu beschreiben ist.
Es sind eben nicht 2 - 3 Use Cases ein ein paar Bereichen. Viel mehr geht es um eine Verรคnderung der Denk- und Arbeitsweise.
Wรคhrend viele Unternehmen noch zรถgern, hat Moderna bereits konkrete Schritte unternommen, um KI strategisch zu implementieren:
1. Zusammenlegung von HR und IT unter einer Fรผhrung
2. Systematische Analyse aller Arbeitsprozesse
3. Klare Entscheidung: Was macht Mensch & Maschine?
4. Entwicklung von 3.000 spezialisierten KI-Assistenten
5. Integration dieser Assistenten in komplexe Workflows
Der taktische Ansatz dahinter ist bemerkenswert:
โณ Nicht einzelne KI-Projekte, sondern eine umfassende Transformation
โณ Keine isolierten Tools, sondern vernetzte Systeme
โณ Kein Fokus auf Stellenabbau, sondern auf Neugestaltung der Arbeit
KI-Integration ist keine einmalige Initiative, sondern ein fortlaufender Prozess der Organisationsentwicklung.
Moderna zeigt, dass der Erfolg nicht von einzelnen Tools abhรคngt, sondern von der strategischen Neugestaltung der Arbeit selbst.
Genau das ist der Weg, den es zu gehen gilt. | 12 Kommentare auf LinkedIn
With more than 260,000 registrations, Google actually broke the Guinness World Records ๐ title for largest attendance at a virtual AI conference in one week.
(I didn't even know that was a thing! ๐ ) Not able to make attend? Here is everything that was covered from theory to application is now available for free...
โก๏ธ Day 1: Foundational Models & Prompt Engineering
https://lnkd.in/d-_w3gXj
โก๏ธ Day 2: Embeddings & Vector Stores / Databases
https://lnkd.in/dkmfDUcp
โก๏ธ Day 3: Generative AI Agents
https://lnkd.in/dd3Zd2-F
โก๏ธ Day 4: Domain-Specific LLMs
https://lnkd.in/d6Z39yqt
โก๏ธ Day 5: MLOps for Generative AI
https://lnkd.in/dcXCTPVF
And, be sure to check out the winners of the course's capstone project: building tools from Generative AI (classroom assistants, schedulers, mock interviewers and more.) https://lnkd.in/dPsXnrct
Interested in putting all of those newly-developed AI skills to use? Here are some of the latest job openings here at Google: http://google.com/careers. Hope to see you around! ๐
#google #lifeatgoogle #training #ai #education | 21 comments on LinkedIn
I was interviewed in today's The Wall Street Journal on the impact of AI agents on customer behavior - here's how I believe our lives are about to change:
I was interviewed in today's The Wall Street Journal on the impact of AI agents on customer behavior - here's how I believe our lives are about to change:
( โฌ๏ธ From the article by the great Steve Rosenbush โฌ๏ธ )
There is a flywheel effect at work here. The AI agent has access to an enormous amount of data about users that makes it possible to tailor recommendations, information, and insights to their needs. And once they reside in a messaging app, they can create a continuing presence in the userโs life, just like a person would.
โOnce an AI knows you and remembers your history, it stops feeling like a tool and starts to feel like a companion,โ saysย Conor Grennan, chief AI architect at New York University Stern School of Business. โIt starts to blur the line between an AI brand ambassador and just a friend who shares your taste.โ"
โฌ๏ธ End of quote โฌ๏ธ .
The wild part of all this to me is that agents are coming to WhatsApp, where we hang out. It shows us a ton about Meta's strategy:
My thoughts:
WhatsApp already hosts most of our everyday conversations, so when a brand drops in an AI agent that greets me like the barista who knows my order, it doesnโt feel like marketingโit feels like service.
Whatโs new is the compounding effect: every helpful, context-aware response deposits a little โtrust capitalโ in the relationship bank.
Those micro-interactions can become a moat for a brand by helping establish lasting customer loyalty.
So: Where do you see this all going?
+++++++++++++++++
UPSKILL YOUR ORGANIZATION:
When your organization is ready to create an AI-powered cultureโnot just add toolsโAI Mindset would love to help. We drive behavioral transformation at scale through a powerful new digital course and enterprise partnership. DM me, or check out our website. | 56 comments on LinkedIn
โOnce an AI knows you and remembers your history, it stops feeling like a tool and starts to feel like a companion,โ saysย Conor Grennan, chief AI architect at New York University Stern School of Business. โIt starts to blur the line between an AI brand ambassador and just a friend who shares your taste.โ"
Eine empirische Studie zeigt: Der wirtschaftliche Nutzen der generativen KI wird von Fรผhrungskrรคften mit praktischer Erfahrung deutlich positiver bewertet als von solchen ohne. Wรคhrend 64 Prozent der Erfahrenen von einer schnellen Amortisation ausgehen, glauben dies nur 35 Prozent der Unerfahrenen. Die Wirtschaftlichkeit hรคngt stark vom Betriebsmodell, der Nutzungstiefe und den unternehmensspezifischen Bedingungen ab. Wer GenAI gezielt einsetzt, steigert Produktivitรคt, Innovationskraft und Arbeitgeberattraktivitรคt โ ein realer betriebswirtschaftlicher Vorteil, schreibt Peter Buxmann in seinem Gastbeitrag fรผr F.A.Z. PRO Digitalwirtschaft.
๐ช๐ฒ๐ถ๐๐ฒ๐ฟ๐น๐ฒ๐๐ฒ๐ป: โถ๏ธ https://lnkd.in/e3faARTd
Der Text stammt aus unserem Digitalwirtschaft-Newsletter zur digitalen รkonomie. Der Newsletter wird jeden Mittwoch um 8 Uhr an 230.000 Abonnenten versendet und erklรคrt die relevanten Digitalthemen der Woche, aufgeteilt auf die Themenbereiche Kรผnstliche Intelligenz, Zukunft der Arbeit, Digitale Transformation, Plattformen und Digitale Mobilitรคt. Interessenten kรถnnen den Newsletter zwei Monate ๐ธ๐ผ๐๐๐ฒ๐ป๐น๐ผ๐ testen. โถ๏ธ https://lnkd.in/eY_4zwbr
Frankfurter Allgemeine Zeitung | 13 Kommentare auf LinkedIn
โ๐๐ ๐ถ๐ ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐๐ผ๐๐ฟ ๐ท๐ผ๐ฏ. ๐๐ฒ๐ฐ๐ธ, ๐ถ๐โs coming for mine too
โ๐๐ ๐ถ๐ ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐๐ผ๐๐ฟ ๐ท๐ผ๐ฏ. ๐๐ฒ๐ฐ๐ธ, ๐ถ๐โ๐ ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐บ๐ถ๐ป๐ฒ ๐๐ผ๐ผ!"
Thatโs not clickbait. Thatโs the CEO of Fiverr (Micha Kaufman) in his latest e-mail every employee received yesterday!
And heโs not the first writing that: first Shopify, then Duolingo, now Fiverr. Top tech CEOs are one by one speaking out loud. BUT Fiverr did something different: They didnโt just warn their teams โ they gave them a blueprint to survive.
๐ง๐ต๐ฒ ๐ณ๐ผ๐น๐น๐ผ๐๐ถ๐ป๐ด ๐ฎ๐ฟ๐ฒ ๐๐ต๐ฒ 7 ๐๐ ๐ฆ๐๐ฟ๐๐ถ๐๐ฎ๐น ๐ง๐ถ๐ฝ๐ ๐ต๐ฒ ๐ฟ๐ฒ๐ฐ๐ผ๐บ๐บ๐ฒ๐ป๐ฑ๐ ๐ณ๐ผ๐ฟ ๐ป๐ฎ๐๐ถ๐ด๐ฎ๐๐ถ๐ป๐ด ๐๐ต๐ฒ๐๐ฒ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ๐: โฌ๏ธ
1. ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐บ๐ฒ๐ป๐, ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐บ๐ฒ๐ป๐, ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐บ๐ฒ๐ป๐.
โ Test every AI tool you can get your hands on. See which ones make you 10x faster. If youโre in coding? Use Cursor. Law? Lexis+. Learn what makesย youย dangerous.
2. ๐๐ถ๐ป๐ฑ ๐๐บ๐ฎ๐ฟ๐ ๐ฝ๐ฒ๐ผ๐ฝ๐น๐ฒ ๐ฎ๐ป๐ฑ ๐๐๐ถ๐ฐ๐ธ ๐ฐ๐น๐ผ๐๐ฒ.
โ Surround yourself with folks who already get AI. Ask questions. Watch what tools they use. Shortcut your learning curve.
3. ๐จ๐๐ฒ ๐๐ผ๐๐ฟ ๐๐ถ๐บ๐ฒ ๐น๐ถ๐ธ๐ฒ ๐ถ๐โ๐ ๐ฒ๐ ๐ฝ๐ฒ๐ป๐๐ถ๐๐ฒ.
โ If you're still working like it's 2024, you're doing it wrong (!!!). Speed and efficiency are the new currency. Cut the fluff, automate the rest.
4. ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐๐ถ๐ป๐ด.
โ Google is basic now. LLM'S are the new baseline. The better your prompts, the more powerful you become. Learn it like itโs your second language.
5. ๐๐ฒ๐น๐ฝ ๐๐ผ๐๐ฟ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ป๐ ๐ฑ๐ผ ๐บ๐ผ๐ฟ๐ฒ ๐๐ถ๐๐ต ๐น๐ฒ๐๐.
โ Donโt just do your job โ rethink how the whole org works. Automate stuff. Suggest improvements. Be the person who makes things smoother and smarter.
6. ๐ง๐ต๐ถ๐ป๐ธ ๐น๐ถ๐ธ๐ฒ ๐ฎ๐ป ๐ผ๐๐ป๐ฒ๐ฟ.
Know what the companyโs really trying to achieve. Donโt wait to be asked. Show up with ideas. Pitch improvements. You donโt need a permission slip to contribute.
7. ๐ ๐ฎ๐ธ๐ฒ ๐๐ผ๐๐ฟ ๐ผ๐๐ป ๐ผ๐ฝ๐ฝ๐ผ๐ฟ๐๐๐ป๐ถ๐๐ถ๐ฒ๐.
No one's coming to save you. If you want to grow, build your own path. Take initiative, start small, stay consistent. Those who help themselves get help too.
๐ ๐ฏ๐ฒ๐น๐ถ๐ฒ๐๐ฒ ๐๐ต๐ฒ๐ฟ๐ฒ'๐ ๐๐ผ๐บ๐ฒ ๐๐ฟ๐๐๐ต ๐๐ผ ๐๐ต๐ถ๐. ๐๐๐ ๐๐ฒ ๐ผ๐ณ๐๐ฒ๐ป ๐๐ฒ๐ป๐ฑ ๐๐ผ ๐ฒ๐ถ๐๐ต๐ฒ๐ฟ ๐ผ๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐บ๐ฎ๐๐ฒ ๐ผ๐ฟ ๐๐ป๐ฑ๐ฒ๐ฟ๐ฒ๐๐๐ถ๐บ๐ฎ๐๐ฒ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐. ๐ง๐ต๐ฎ๐ ๐๐ฎ๐ถ๐ฑ, ๐๐ต๐ฒ ๐บ๐ฒ๐๐๐ฎ๐ด๐ฒ ๐ฟ๐ฒ๐บ๐ฎ๐ถ๐ป๐ ๐๐ต๐ฒ ๐๐ฎ๐บ๐ฒ: ๐๐ ๐ถ๐๐ปโ๐ ๐ฐ๐ผ๐บ๐ถ๐ป๐ด โ ๐ถ๐โ๐ ๐ฎ๐น๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐ต๐ฒ๐ฟ๐ฒ. ๐๐ฒ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ฎ๐ป ๐๐-๐ณ๐ถ๐ฟ๐๐ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ป๐ ๐ถ๐ ๐ฟ๐ฎ๐ฝ๐ถ๐ฑ๐น๐ ๐ฏ๐ฒ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ป๐ฒ๐ ๐ป๐ผ๐ฟ๐บ๐ฎ๐น. ๐ฆ๐๐ถ๐น๐น, ๐๐ต๐ฒ ๐๐ถ๐ฝ๐ ๐ฎ๐ฏ๐ผ๐๐ฒ ๐ฎ๐ฟ๐ฒ ๐๐ฎ๐น๐๐ฎ๐ฏ๐น๐ฒ. ๐๐ฒ๐โ๐ ๐ฏ๐ฒ ๐ต๐ผ๐ป๐ฒ๐๐: ๐จ๐ฝ๐๐ธ๐ถ๐น๐น๐ถ๐ป๐ด ๐ถ๐ ๐ป๐ผ ๐น๐ผ๐ป๐ด๐ฒ๐ฟ ๐ฎ ๐ฝ๐ฒ๐ฟ๐ธ. ๐ฌ๐ผ๐โ๐ฟ๐ฒ ๐ฒ๐ถ๐๐ต๐ฒ๐ฟ ๐ฏ๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ณ๐๐๐๐ฟ๐ฒ โ ๐ผ๐ฟ ๐๐ฎ๐๐ฐ๐ต๐ถ๐ป๐ด ๐ถ๐ ๐ฝ๐ฎ๐๐ ๐๐ผ๐ ๐ฏ๐.
You can read the full e-mail attached! โฌ๏ธ
| 152 comments on LinkedIn
*NEW PAPER*: GenAI investments will only pay off if employees adopt theโฆ
*NEW PAPER*: GenAI investments will only pay off if employees adopt the technology and learn to use it effectively. Feelings of psychological threats are common and they are going to be a major obstacle. GenAI deployment therefore needs to be accompanied by a careful talent management strategy.
In our new Trends in Cognitive Sciences article, we review the psychological threats that GenAI deployment can trigger in workers, focusing on three areas: competence, autonomy, and relatedness.
Moreover, we sketch different types of reactions that such feelings of threats can trigger. The figure below summarizes five coping strategies (both adaptive and maladaptive) for the three types of psychological threat.
Link to the article in comment (open access for 50 days). With Erik Hermann and Carey Morewedge
The Wharton School
Wharton AI & Analytics Initiative
Wharton Executive Education | 24 comments on LinkedIn
How long will the traditional course survive in the workplace? I give it 2-5 years. Let me explain.
When I say a โtraditional courseโ, I mean learning content (instructor-led or self-service) delivered online or face-to-face either, going from beginning to end with little variation in content or delivery.
These courses have been the mainstay of training at work since I started in the classroom in the 1980s.
For some, the idea that the traditional course is doomed come as a shock. For others, itโs self-evident. Listening to researchers, experts and practitioners like Dani Johnson, Dr Philippa Hardman and Gregg Collins, I am convinced that within 5 years most organisational training will abandon these traditional courses.
Why?
It is now easy to personalise content, even in a simple fashion, with AI. With extra effort, you can deliver content via adaptive delivery that understands where you are succeeding and failing and changes what you learn, and how you learn it, to ensure you reach competency faster. Itโs more effective, more enjoyable, and faster.
All of this is already happening, and it's only going to get easier and more wide-spread.
But the real drive will come not from the technology, but from the learners. The technology enables the change. The learners will demand it. Once enough people have experienced content delivered with this flexibility โ probably initially in their private lives, as consumers โ they will start to ask why their employers arenโt delivering content the same way.
So I have three questions for you this Friday:
ยทย Do you agree that the traditional course doomed?
ยทย If so, is the timescale of 2-5 years reasonable?
ยทย What are the implications of all this?
Iโd love to hear your thoughts.
| 77 comments on LinkedIn
AI vs. human coaches: Examining the working alliance | Amber Barger, EdD, MCC | 31 comments
New Research: AI vs. Human Coaches - Building Effective Working Relationships
This study explores a fascinating question: Can AI coaches of the future build effective working relationships with clients comparable to human coaches?
Surprisingly, the answer is yes.
Part of my dissertation research study at Teachers College, Columbia University was recently published in an Advancing Coaching Scholarship special issue alongside other prominent scholars.
With AI increasingly entering human-centered spaces like coaching, this research offers early insight into its impact.
Through a randomized controlled experiment, I found that people could establish strong connections with both simulated autonomous AI and human coaches in just a single hour-long session. The data showed comparable relationship quality metrics across both conditions, with individuals specifically valuing the collaborative, goal-oriented conversation regardless of coach type.
Read the full study here to explore what this means for the future of coaching.
#AICoaching
https://lnkd.in/g4W7i8dx | 31 comments on LinkedIn
Something Alarming Is Happening To The Job Market: AI Is replacing jobs faster than we thought.... and
it's also reducing the wage premium of a college degree. This is why the #Superworker strategy is so urgent.
https://lnkd.in/g8V9aHxN
โLaw firms lean on AI for paralegal work as consulting firms find that five 22-year-olds with ChatGPT can do the work of 20 recent grads."
"Tech firms are turning over their software programming to a handful of superstars working with AI co-pilots."
"The share of jobs posted on Indeed in software programming has declined by more than 50 percent since 2022."
"And even if employers arenโt directly substituting AI for human workers, spending on AI infrastructure is crowding out spending on new hires.โ | 172 comments on LinkedIn
๐ข๐ฝ๐ฒ๐ป๐๐ ๐ท๐๐๐ ๐น๐ฎ๐๐ป๐ฐ๐ต๐ฒ๐ฑ ๐๐ผ๐บ๐ฒ๐๐ต๐ถ๐ป๐ด ๐๐๐ โ ๐ฎ๐ป๐ฑ ๐ฏ๐ฎ๐ฟ๐ฒ๐น๐ ๐ฎ๐ป๐๐ผ๐ป๐ฒ ๐ถ๐ ๐๐ฎ๐น๐ธ๐ถ๐ป๐ด ๐ฎ๐ฏ๐ผ๐๐ ๐ถ๐!
Yesterday, I spent a few hours diving into the newly launched "๐ข๐ฝ๐ฒ๐ป๐๐ ๐๐ฐ๐ฎ๐ฑ๐ฒ๐บ๐". And it's an absolute goldmine of FREE AI education, packed with tutorials, live workshops, labs and real-world case studies.
Whether you're just starting or already building with GPTs โ thereโs definitely something here for you. And itโs all 100% FREE and beginner-friendly tracks (no code needed). Here is some stuff to have an eye on:
๐จ๐ฝ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ช๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ๐:
โ Introduction to ChatGPT: https://lnkd.in/e4dgUbWj
โ AI in Action: Uses for Work, Learning & Life: https://lnkd.in/efXpXY_9
๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฑ ๐ช๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ๐:
โ ChatGPT 101: A Guide to Your Super Assistant: https://lnkd.in/e6RJMcEC
โ ChatGPT 102: Using AI to Do Your Best Work: https://lnkd.in/eF4iQfFz
โ Advanced Prompt Engineering: https://lnkd.in/eb9JGYkY
๐๐ต๐ฎ๐๐๐ฃ๐ง ๐ฎ๐ ๐ช๐ผ๐ฟ๐ธ ๐๐ผ๐น๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป:
โ ChatGPT Search: https://lnkd.in/e8fRSkPT
โ ChatGPT for Data Analysis: https://lnkd.in/ezssYnGk
โ Introduction to GPTs: https://lnkd.in/eiUCDF9u
๐๐ต๐ฎ๐๐๐ฃ๐ง ๐ผ๐ป ๐๐ฎ๐บ๐ฝ๐๐ ๐๐ผ๐น๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป:
โ AI for Academic Success: https://lnkd.in/e9hPwRsF
โ AI for Career Prep: Resumes & Interviews: https://lnkd.in/ezK62jzQ
๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ ๐๐๐ถ๐น๐ฑ ๐๐ผ๐๐ฟ๐ ๐๐ผ๐น๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป:
โ Fine-Tuning: https://lnkd.in/e2iqWD7J
โ Assistants & Agents: https://lnkd.in/em6FBu2Q
Link to the academy: https://lnkd.in/d8GK4sC4
Definitely very interesting to see that OpenAI is now also building their own learning ecosystem.
ENJOY! | 58 comments on LinkedIn
Vernรผnftige deutsche Version ist auch mit dabei ๐
Yeah! Die sehr praktische Audio-Zusammenfassung von NotebookLM ist jetzt in รผber 50 Sprachen verfรผgbar und deutsch ist auch dabei.
Damit bist du in der Lage verschiedene Wissensquellen in vernรผnftiger deutsche Sprache zu konsumieren. Die Qualitรคt der Aussprache und die Stabilitรคt der Stimme sind auch richtig gut.
Teilweise auch so gut, dass ich es nicht 100%ig von Menschen unterscheiden kรถnnte. Google hat da einen guten Job gemacht. ๐๐ป
๐ต Auch schon vorher mรถglich, aber nicht gut
Ja, auch vorher war die Audio-Zusammenfassung auf Deutsch mรถglich, wenn man den Prompt angepasst hat. Gut war die Version aber nicht und die Aussprache teilweise nicht zu gebrauchen. Mit der offiziellen Unterstรผtzung von anderen Sprachen klingt das Ganze schon wesentlich besser.
๐ด Wie findest du die deutsche Version?
------------------------------------------
๐๐ป Mein KI-Newsletter: https://lnkd.in/gy42ujUE
------------------------------------------
#ki #ai #notebooklm #genai
Duolingo becoming an AI-FIRST COMPANY - nach dem viralen Post von Shopify รผberโฆ
Becoming an "AI-FIRST COMPANY" - nach dem viralen Post von Shopify รผber das Thema der AI-First Mentalitรคt, legt Duolingo nach und ich kann nur empfehlen die Argumente bzgl "...employees can โfocus on creative work and real problems, not repetitive tasks.โ etc sich anzuschauen.
Die mutigsten Unternehmen erkennen Wendepunkte, bevor sie offensichtlich werden. 2012 setzte Duolingo auf Mobile-First, als andere noch in Desktop-Denken gefangen waren.
Heute stehen wir vor einem รคhnlichen Moment โ dem KI-Paradigmenwechsel.
Duolingo sieht KI nicht nur als Produktivitรคtstool, sondern als Schlรผssel zur Mission. KI skaliert Inhalte, die sonst wesentlich aufwรคndiger zu produzieren wรคren. Zum ersten Mal ist Unterricht auf dem Niveau der besten menschlichen Lehrer in Reichweite. Die klaren strukturellen รnderungen zeigen den echten Transformationswillen:
_KI-Kompetenz als Einstellungs- und Leistungskriterium
_Personalwachstum wo Automatisierung keine Option ist
Am wichtigsten: Diese Transformation stellt Menschen in den Mittelpunkt. Es geht nicht darum, Mitarbeiter zu ersetzen, sondern sie von Routineaufgaben zu befreien und ihre Kreativitรคt zu entfesseln โ unterstรผtzt durch Schulungen und Mentoring.
In einer Zeit, in der noch so viele Unternehmen zรถgern, macht Duolingo bereits den nรคchsten Sprung. Eine kleine Erinnerung daran, dass wahre Innovatoren keine Angst vor Verรคnderung haben โ sie sind diejenigen, die den Wandel willkommen heiรen, bevor er zur Notwendigkeit wird.
Ein paar wichtigen Stellen des offiziellen Announcements hier:
"AI is already changing how work gets done. Itโs not a question of if or when. Itโs happening now. When thereโs a shift this big, the worst thing you can do is wait. ... this time the platform shift is AI. AI isnโt just a productivity boost. It helps us get closer to our mission... Being AI-first means we will need to rethink much of how we work. Making minor tweaks to systems designed for humans wonโt get us there. In many cases, weโll need to start from scratch. Weโre not going to rebuild everything overnight, and some things-like getting AI to understand our codebase-will take time. However, we canโt wait until the technology is 100% perfect. Weโd rather move with urgency and take occasional small hits on quality than move slowly and miss the moment. ... Duolingo will remain a company that cares deeply about its employees. This isnโt about replacing Duos with AI. Itโs about removing bottlenecks so we can do more with the outstanding Duos we already have. We want you to focus on creative work and real problems, not repetitive tasks. Weโre going to support you with more training, mentorship, and tooling for AI in your function. Change can be scary, but Iโm confident this will be a great step for Duolingo. It will help us better deliver on our mission โ and for Duos, it means staying ahead of the curve in using this technology to get things done."
Learn about Anthropic's comprehensive framework for identifying, classifying, and mitigating potential harms from AI systems, ensuring responsible development of advanced AI technology.
Just reviewed "The State of Digital Adoption 2025 - special AI Adoption" and the findings are really interesting! e.g. the AI adoption gap: 78% of executives are confident in their change approach, but only 28% of employees feel adequately trained on AI tools.
๐ฎ Where is the Future of AI-Powered Digital Adoption
Foundational priorities
By 2028, both executives and employees will prioritize security, efficiency, and proper infrastructure management over specific features.
Evolution of DAPs
Next-gen Digital Adoption Platforms are evolving to incorporate cross-application, contextual support that continuously improves through user interaction.
Path to HyperProductivity
Organizations that successfully implement AI while leveraging emerging technologies will achieve a state of HyperProductivity โ where human capabilities and technology converge to achieve measurable gains in efficiency, innovation, and resilience.
See some selected interesting pictures - or download the full report via the link in the comments.
#DigitalAdoption #AITransformation #DigitalProductivity #FutureOfWork