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Send us a text Human Centered AI | Ep. 010 | Why Netflix is paying $83 billion for the stories we watched before school. Netflix has led AI in entertainment for over a decade. Personalized thumbnails, recommendation engines, rapid production. They're exceptional at it. So why spend $83 billion on Warner Brothers Discovery? Because they noticed something interesting about their own catalog. Netflix makes series you watch once. Warner Brothers made the ones you watch with your kids because your parents watched them with you. Emotional compound interest, built over 80 years. That's not a technology problem. It's a time problem. And Netflix decided it was easier to buy than to wait. This got us thinking about what it means for everyone else. Warner Brothers didn't have the best AI. They had something AI needed. Decades of stories, characters, and trust that couldn't be built faster with better technology. Most organizations have a version of this. Customer relationships measured in decades. Institutional knowledge that lives in people, not systems. A reputation earned by showing up consistently. That's not legacy to modernize away. That's your data. The real kind - built over years, not downloaded. And AI is only as good as what you feed it. In this episode we explore: ✨ Human value in an AI world - what can't be replicated ✨ Infrastructure reality - the gap between AI's promise and today's reality ✨ Legacy as asset - reframing what "old" means ✨ New roles emerging - how jobs are shifting ✨ Shared responsibility - ethics and safety aren't one person's job AI multiplies what exists.  So let's ask, "what have you been building all this time that's about to become even more valuable?"

Send us a text Human Centered AI: Ep.009 - The Iwakura Principle See comments on where to listen 🎧 In 1871, Japan sent half its government overseas. For two years. This isn't ancient history. It's a blueprint for AI transformation. The Iwakura Mission included sitting cabinet ministers, future prime ministers, and a six-year-old girl who would later appear on the 5,000-yen note. They didn't send junior staff to "figure it out." They sent the decision-makers. The result? Mitsubishi. Mitsui. The Tokyo Stock Exchange. Nearly 500 companies founded by one mission member alone. Most organizations today respond to AI with a pilot program and a steering committee. The Japanese have two words for "leaving something to someone": → 任せる (makaseru) - entrusting  → 放置する (hōchi suru) - abandoning One built modern Japan. The other builds slide decks nobody reads. Three Critical Insights: → Send Decision-Makers, Not Researchers - The people who will implement change need to do the learning. Waiting for a summary is abdication, not delegation. → Give It Real Time - The mission lasted nearly two years. Most AI initiatives get a quarter to show ROI. That's not transformation—that's a pilot. → Study Systems, Not Just Technology - They visited factories, yes. But also schools, courts, prisons, slums. They learned what NOT to copy as much as what to adopt. Four Implementation Principles: → Literacy Before Strategy. If leadership hasn't personally used the tools, they're not ready to set direction. → Document With Intention. The mission produced a 5-volume, 2,000-page report. Most AI pilots end with a deck nobody reads. → Filter Through Context. They studied multiple countries, then built something Japanese. "Best practices" from Silicon Valley won't work in Tokyo—or your organization. → Build the Next Generation. The young officials on that mission led Japan for 50 years. Who are your future AI leaders? Not the consultants. The Iwakura Mission wasn't a project. It was a commitment. 150 years later, we're still talking about it because it worked. In this episode, Nathan Paterson and Brittany Arthur explore what this 150-year-old voyage teaches us about taking AI transformation seriously and why most organizations are confusing delegation with abandonment. How you commit matters more than how much you invest.

Send us a text Microsoft Partnership, Academy Updates, and Spatial Intelligence | Human-Centered AI Ep. 008 Three signals from the AI frontier this week. Each one reshapes how we think about AI readiness. SIGNAL 1: Microsoft Partnership DTJ is now Microsoft's official training partner for AI education in Japan—working with government officials and policymakers. When governments invest in AI literacy (not just tools), it confirms: this skill is baseline now. SIGNAL 2: Academy Confidence Our graduates walk into interviews ready when asked "How do you think about AI trade-offs?" They've built conviction, not memorized answers. December and January cohorts now open. SIGNAL 3: Spatial Intelligence Is Live Dr. Fei-Fei Li's work on AI that understands 3D space just dropped. Take one photo, AI generates a navigable 3D environment. For manufacturing, logistics, robotics—the next wave isn't coming. It's here. THREE CRITICAL INSIGHTS: 1. AI Literacy Moved From Vertical to Horizontal - This isn't specialized anymore. It's baseline. Every role. Every level. 2. Confidence Is the Competitive Advantage - Technical knowledge is optional. Strategic conviction about AI is not. 3. The Frontier Keeps Revealing Itself - While most organizations are figuring out ChatGPT, AI just moved from digital to physical. We watch the frontier so you don't get blindsided. 37 minutes that translate what's coming into what it means for your work. LINKS: 🔗 Human-Centered AI Leadership Academy: https://www.designthinkingjapan.com/ai-leadership 🔗 DTJ Website: https://www.designthinkingjapan.com/ 🔗 Microsoft Elevate Japan: https://www.microsoft.com/en-us/elevate 🔗 World Labs (Spatial Intelligence): https://www.worldlabs.ai/ ABOUT HUMAN-CENTERED AI PODCAST: Weekly insights on AI, leadership, and what's actually happening on the frontier. Hosted by Design Thinking Japan (DTJ), a human-centered AI company in Tokyo. We help leaders navigate AI strategy with clarity and confidence—not hype.

Send us a text The Third Way - The Intrapreneur's Path from Inside with Junichi Yamashita When people talk about innovation, they present two choices: leave and start fresh, or stay and accept the status quo. But there's a third way—proven in Japanese organizations by someone who's walked this path multiple times. Junichi Yamashita built digital products used by millions—Coke ON (65M downloads), multiple Rakuten ventures—all from inside established companies. This isn't theory. It's how innovation actually happens in Japanese organizations, told by someone who's done it repeatedly. ✅ What You'll Learn How to create momentum when starting with nothing The two types of "no" in Japanese business—and why it matters Getting beyond inspiration: the actual logistics of innovation Creating scenarios that win stakeholder support Being different as an advantage in your organization DX lessons that matter for AI transformation 🎯 This Is For You If... You have ideas but unclear how to move them forward You're told "we need innovation" with no clear path You're wondering if you need to leave to create something new You're leading transformation but struggling with stakeholder alignment You're preparing for AI and want to learn from digital transformation success 💡 Key Insights "Start the ball rolling—once it starts, it doesn't stop easily" The hardest part isn't execution—it's creating the first moment of momentum. When asked if something is possible: "I think so... shall I take a look?" This creates the next conversation. "You don't have to do something differently—share what people aren't aware of" Being different becomes valuable when you find the intersection between what's missing in your environment and what only you can offer. "Japanese people are great at doing things right—few can show what the right things to do are" Excellence in execution exists. What's missing is identifying the path forward through uncertainty. Once clear, collective power becomes extraordinary. "Talk about the value, not the technology" Don't explain what something is. Explain what it creates: "Coffee purchases go from 5 to 20 per month." People need to understand why it matters. 👤 Junichi Yamashita Senior Director, Coca-Cola Japan | Coke ON Business Leader Led: Coke ON (65M users, 500K+ vending machines), world's first vending machine subscription Previously: Rakuten (Ecosystem Strategy, CEO direct report), Korean startup (Country Manager from zero), McKinsey & IBM LinkedIn: /junichiyamashita 🎙️ Host: Brittany Arthur Co-founder, Design Thinking Japan Helping Japanese organizations innovate since 2012 designthinkingjapan.com 🎧 Business Karaoke Podcast Authentic conversations with leaders navigating innovation in Japan. Real experience, not just theory. Subscribe for more conversations Connect: [email protected] The future isn't built by choosing between leaving or staying. It's built by finding the third way forward.

Send us a text 「イノベーションが必要」と言われても、実際どう進めればいいのか。多くの方が同じ悩みを抱えています。 今回は、コカ・コーラでCoke ON（6500万DL）を育て、楽天で複数の新規事業を立ち上げてきた山下純一さんをお迎えし、社内で新しいことを始める「現実的な方法」について語っていただきました。理論ではなく、実際の現場で使える具体的な知恵。成功も失敗も含めた、率直な対話です。 ✅ この対談から得られること この47分間の対談では、以下のような実践的な知見をお届けします： ・新規事業を始める際の、最初の具体的なステップ ・社内で味方（スポンサー）を見つけ、巻き込んでいく方法 ・経営層の理解を得るための「30％ルール」の活用法 ・デジタル専門家でなくても、DXをリードできる理由 ・本業を続けながら、新しい挑戦を持続可能にする工夫 ・外部パートナーやコンサルタントとの効果的な協働の仕方 すべて、山下さんご自身の経験に基づいたお話です。 🎯 こんな方におすすめです この対談は、特に以下のような状況にある方にお役立ていただけると思います： ・組織の中で新しい取り組みを始めたいが、進め方に迷っている ・イノベーションプロジェクトを任されたが、なかなか前に進まない ・DXを推進する立場だが、周囲の理解や協力を得るのに苦労している ・起業するか、今の会社で挑戦を続けるか、選択肢を考えている ・アイデアや構想はあるが、承認プロセスや予算確保に課題がある ・伝統的な企業文化の中で、変革を起こしたいと考えているリーダー もちろん、上記以外の方にも、組織内でのイノベーションに関心がある方であれば、何かしらのヒントを持ち帰っていただけるのではないかと思います。 📌 対談で触れているトピック ・イントラプレナー vs アントレプレナー：それぞれのメリット ・ゼロからの始め方：2-3人から始める理由 ・30％プロトタイプの威力と使い方 ・ステアリングコミッティーの作り方 ・スピード vs マラソン思考のバランス ・デジタルリテラシーの壁を越えるコミュニケーション ・DXの成功パターンと失敗パターン ・パッションと個人的な興味の重要性 ・外部コンサルタントとの効果的な協働 ・Coke ON 開発の舞台裏 💡 対談の中で印象的だった考え方 山下さんが実践してきた中で、特に印象的だったいくつかのアプローチをご紹介します： 「2-3人からスタートする」 最初から大人数を集めても、意見の集約に時間がかかってしまう。まずは本当に信じてくれる2-3人と始めて、徐々に広げていく方が結果的に早い。 「30％の完成度で見せる」 完璧を目指して時間をかけるより、30％程度の完成度でも具体的な形にして見せる。会議で話すだけでは忘れられてしまうが、何か「モノ」があれば、人は反応してくれる。 「社内の関係者こそ、最初のお客様」 最終的なエンドユーザーの前に、まず社内のステークホルダーに価値を理解してもらう必要がある。彼らが協力してくれなければ、プロジェクトは前に進まない。 「How（どうやるか）ではなく、Why（なぜ）から」 DXは技術論から入ると失敗しやすい。なぜこれが必要なのか、どんな体験を実現したいのか、目的から考えることが大切。 「お母さんに説明できるか」 デジタルの専門用語を使わず、誰にでも分かる言葉で説明できるか。これが、多様なステークホルダーを巻き込む上での鍵になる。 これらは、山下さんが実際の経験を通じて体得されてきたことです。 👤 ゲスト紹介：山下純一 日本コカ・コーラ株式会社 シニアディレクター 現在 ・Coke ON（自販機向けロイヤリティプログラム）事業責任者 ・6500万ダウンロード、50万台以上の自販機と連携 ・コカ・コーラ社で世界初の「自販機サブスク」Coke ON Passを2021年にローンチ 経歴 ・楽天：エコシステム戦略、メンバーシップ戦略を担当（CEO直下） ・楽天市場：スマホ事業、ROOM（ショッピングSNS）責任者 ・韓国スタートアップ：日本カントリーマネージャー（n=1から立ち上げ） ・マッキンゼー、IBM：戦略・ITコンサルタント LinkedIn: https://www.linkedin.com/in/junichiyamashita 💬 皆さまのご意見をお聞かせください コメント欄で、ぜひ以下のようなことをシェアしていただけると嬉しいです： ・この対談の中で、特に印象に残ったポイント ・ご自身の組織で新しいことを始めるとしたら、どんなテーマに取り組みたいか ・社内イノベーションで、現在直面している課題 皆さまの経験や考えを、ぜひお聞かせください。 📧 お問い合わせ 企業向けワークショップ、AI活用のご相談、イノベーション戦略に関するお問い合わせは、以下までお気軽にご連絡ください。 Design Thinking Japan Email: [email protected]  Website: https://designthinkingjapan.com 皆さまの組織の挑戦をサポートできることを、楽しみにしています。

Send us a text The Legal Bridge: Technology to Trust | S3E8 Guest: Darryl Osuch - Unit Manager, Legal Operations at JERA Co., Inc. | Host of The Legal Ops Podcast Episode Length: 51 minutes Episode Description "I feel like I'm fighting an education battle." Darryl Osuch identifies what many organizations are missing about AI adoption. Not a technology battle. Not a process battle. An education battle. In this conversation, Darryl shares what he's learning at the intersection of legal operations, AI implementation, and organizational trust. His perspective—both mechanic and driver of AI systems—reveals why the gap between capability and comprehension might be the real bottleneck. Microsoft's research shows 70% of AI transformation involves people, 20% workflows, and only 10% algorithms. Yet many organizations find their resource allocation tells a different story. Darryl brings rare expertise: implementing generative AI at JERA while building frameworks that help people actually trust and adopt it. Key Themes The Translation Gap Legal teams are discovering they're not gatekeepers—they're translators between technical capability and human comprehension. When technical concepts get explained but not understood, that's where adoption stalls. Trust as Architecture Trust operates in layers: data, algorithm, company. When one layer doesn't hold, the entire stack can struggle—regardless of technical capability. The Education Battle The real challenge isn't teaching people to use AI tools. It's making complexity accessible without losing truth. Translation capability is becoming strategic, not supplementary. Democratization with Guardrails "Vibe coding" enables people who've never coded to build solutions. The question becomes: How do you create frameworks that enable exploration while maintaining standards? The Soft Skills Advantage When everyone has access to similar AI tools, what creates distinction? Humanity, authenticity, judgment, empathy, wisdom—the entirely human elements. Key Insights from Darryl 💭 "I feel like I'm fighting an education battle. That's literacy. It's not technical, it's not procedural." 💭 "If a company does it right and allows democratization with simple guardrails, users have more autonomy, feel more in control, and stay connected to the process." 💭 "I think one of the necessary roles and powerful functions of a lawyer is to be some kind of translator." 💭 "The technology almost always outpaces regulation." 💭 "People will start actively putting humanity and authenticity first when they are looking for something." The Reframing Question "What is the impact of the work you're doing right now, and how can you improve or magnify that impact?" Not "should we use AI?" but "what am I trying to accomplish, and could AI help me accomplish it better?" Purpose first. Tool second. About Darryl Osuch Darryl Osuch solves problems most organizations don't see yet. As Unit Manager of Legal Operations at JERA Co., Inc. in Tokyo, he automates workflows, implements generative AI, and helps legal teams understand what their technology actually does. Host of The Legal Ops Podcast and fluent in both law and code, Darryl's philosophy is simple: be both mechanic and driver. Know how it works, not just that it works. Connect with Darryl: The Legal Ops Podcast on SpotifyLinkedIn: linkedin.com/in/daryl-osuch

Send us a text Validation Architecture, Not Validation Effort | Human Centered AI Ep 007 Deloitte Australia delivered a $440,000 AI-assisted report. The client discovered fake citations, non-existent authors, and books that were never written. This isn't about criticizing Deloitte - they're tackling what we're all facing. How do you validate AI output without destroying the speed advantage? The Speed Paradox AI generates a 100-page report in 3 hours. Human validation takes 2 weeks. You can't slow back to human speed (defeats the purpose). You can't trust blindly (Deloitte proved that costs $440,000). So what's the answer? In This Episode: → What actually broke at Deloitte (and why it's a process problem, not a technology problem) → Why LLMs are eloquence engines, not truth engines → The validation architecture we use for AI-assisted reports → How to build checkpoints that preserve speed advantage → Why transparency about AI use becomes competitive advantage → Managing AI agents vs. managing humans (completely different principles) → Four implementation guidelines you can use immediately Key Insights: The validation bottleneck is real. If you're reading every word, you're back to human speed with added risk. Transparency must come first. The AI conversation happens before the project, not after someone finds hallucinations. Speed without checkpoints is just risk. Build validation milestones throughout creation, not just at the end. Our Approach: - Declare sources first (set boundaries or you'll get books that don't exist) - Cross-validate patterns, not sentences - Build checkpoints throughout (like data packets - check key milestones, not every byte) - Human expertise where it matters (evaluate output quality, not proofread words) Three Questions for Your Practice: - What's your validation framework that doesn't require reading every word? - Have you told clients HOW you use AI before they discover it themselves? - Are you validating during creation or only after? How you validate matters more than how much you validate. Deloitte paid $440,000 for this lesson publicly. Learn it here for free. RESOURCES: 📊 AI Future Signals 2025 Report (with full methodology): https://www.designthinkingjapan.com/#futuresignals

Send us a text "This is the next generation AI-powered convenience store that will become the standard." When Lawson and KDDI made this bold claim about their Real Tech store in Tokyo, we had to see it ourselves. As AI implementation practitioners, we learn as much from ambitious attempts as we do from polished successes. The press releases promised, 14 AI cameras for personalized recommendations, intelligent avatars, robot food prep, adaptive shopping experiences. Unfortunately, what we found was No camera disclosure, "AI avatar" was a human on video call, branded Roomba, staff manually counting inventory beside computer vision equipment, non-interactive screens, zero personalization. We spoke English to the "smart avatar." It replied, "A little." That's when we realized we were talking to a person, not AI. This isn't about criticizing Lawson or KDDI, they tackled an impossible challenge. Japanese convenience stores are already efficiency masterpieces. The promise gap between AI marketing and AI reality is widening across industries. Three Critical Insights 1. Marketing promises can sabotage good work. Customers felt misled by "AI-powered" experiences that were actually human-powered—even though human solutions might be better. 2. Integration trumps innovation. 14 cameras don't automatically create personalized experiences. The hard work is connecting cameras to inventory systems, recommendation engines, and displays in ways that actually help customers. 3. Expectation management matters. When you promise "the future," customers expect something genuinely different from everywhere else. The technology exists: facial recognition for greetings, real-time inventory tracking, gaze detection, automated checkout. The challenge isn't capability, rather it's system integration and user experience design. Here's Four Implementation Guidelines 1. Start with specific friction. Not "AI-powered store," but "What customer problems can technology solve? Long lines? Product discovery? Language barriers?" 2. Test quietly, announce loudly. Build it, validate it works, then tell people. Order matters. 3. Be honest about automation. Customers handle knowing humans help remotely. They can't handle feeling deceived. 4. Under-promise, over-deliver. Surprise beats disappointment every time. Lawson and KDDI deserve credit for pushing boundaries publicly. Most companies play it safe. But their experience reminds us that customer trust comes from honest, valuable experiences and not impressive press releases. The future of retail will involve AI. But it'll be shaped by companies solving real customer problems, not showcasing impressive technology.

Send us a text Security expert Jonathan Baier joins Brittany Arthur to explore how business leaders can approach AI security strategically. Learn practical frameworks for implementing AI while protecting what matters most to your organization. What You'll Learn Reframe Security as Strategy How security teams can accelerate AI initiatives rather than slow them downThe three types of AI security every executive must understand: of AI, from AI, and with AIMoving from "we need AI" to identifying specific value-creating opportunitiesBridge the Gap Between Business and Security Practical frameworks for non-technical leaders to have meaningful security conversationsWhy 70% of AI success depends on people, not algorithmsHow to ask the right questions when you don't have deep technical knowledgeMaster the Innovation-Protection Balance When to take calculated risks vs. when to proceed more cautiouslyReal examples of companies navigating AI security decisionsStarting with business problems rather than AI solutions Key Takeaways ✅ Security becomes a competitive advantage when technology access is democratized ✅ Your differentiators are data, process, and people—not the technology itself ✅ Every business question becomes a security question at scale ✅ Curiosity and mindful experimentation beat both paralysis and reckless confidence ✅ Small companies need shared security understanding, not dedicated security officers 3 Power Quotes for Sound Bites 1. On AI's Limitations "AI gives us what we ask for and not necessarily what we need." 2. On Taking the Right Approach "You actually shouldn't start with AI. You should start with what is your problem that you're trying to solve?" 3. On Security Team Partnerships "I think many security teams want to be helpful, but they've sort of gotten stereotyped as they're going to get in the way. And so they're not used to someone coming and saying, hey, let's work together and figure out how to do this. But I think they're very much excited to do that." Connect with Jon: https://www.linkedin.com/in/jonathanbaier/

Send us a text We're living through what Dr. Staples calls "an inflection point with the global political economy"—a moment when the assumptions that guided business strategy for decades no longer apply. For senior executives, this creates both unprecedented complexity and extraordinary opportunity. This 50-minute conversation offers something rare: the strategic depth to understand not just what's changing, but how to think about change itself. The Questions That Shape Strategy On Transformation "The space for not doing anything has gotten smaller and smaller. The opportunity to make excuses for not innovating has diminished." We explore why innovation has shifted from "nice to have" to existential necessity across Asia-Pacific, and what this means for organizations still approaching AI as incremental improvement. On Geopolitical Reality "Don't make us choose between China, our biggest trading partner, and America, our biggest investor." Dr. Staples illuminates how middle powers are navigating an increasingly complex world where your technology choices have become geopolitical decisions—and why understanding this is crucial for any global executive. On Strategic Ownership "You have to take ownership of AI because it could be fundamental to what your business becomes." We examine why the most successful organizations are treating AI as a strategic capability to own, not a service to outsource, and how this shapes everything from board composition to operational planning. What You'll Discover Historical Context for Modern Challenges How past technological transformations offer frameworks for navigating today's complexity, from the Industrial Revolution to containerization to electrification. Regional Opportunities in Plain Sight Why Vietnam is becoming the quiet beneficiary of US-China tensions, how Malaysia is threading the needle between superpowers, and what Singapore's digital government reveals about the art of the possible. The Three Models of AI Governance How America's "unfettered innovation," China's "state control," and Europe's "individual sovereignty" approaches are creating different competitive landscapes across regions. Practical Frameworks for Uncertainty Dr. Staples' approach to "controlling what you can" while geopolitical forces settle, and why scenario planning has become an essential leadership skill. This isn't about predicting the future—it's about developing the strategic thinking to navigate fundamental uncertainty. Whether you're making technology architecture decisions, planning market entry strategies, or simply trying to understand how global forces shape local opportunities, this conversation provides frameworks that transcend immediate headlines. As Dr. Staples notes: "We've had waves of disruption before and we've adjusted and adapted. The question is whether this time is fundamentally different—and how do we think about that?" For leaders who prefer depth over speed, context over quick fixes, and strategic thinking over tactical reactions. Sometimes the most practical thing you can do is step back and understand the forces shaping your decisions. Connect with Andy: https://www.linkedin.com/in/andystaples/ https://geopolasia.com/

Send us a text 塚本奈々美さんに迫る - モータースポーツとビジネス界のあらゆるルールを打ち破った女性。ブラジル生まれ、日本育ちの移民の子として育ち、レーシング・ドリフト・ラリーの3分野で活躍する世界唯一の女性プロドライバー（有名な「三刀流」）でありながら、大陸をまたぐパーソナルブランド帝国を築き上げた彼女の物語。 このエピソードで学べること ✨「人と違う」ことを最大のビジネス武器に変える方法 ✨ 男性社会でスポンサーシップを獲得した個人ブランディング戦略 ✨ なぜ専門化ではなく「アンド」アプローチを選んだのか（あなたも実践可能） ✨ チャンス評価とブランド保護のための意思決定フレームワーク ✨ 高速モータースポーツから学ぶ驚きのビジネス教訓 人生を変える洞察 💡 「あなたのような人」が存在しない業界での生き抜き方 💡  日本のビジネス文化における本物の関係構築術 💡  なぜ彼女が自動車メーカーになろうとしているのか（本当です！） 💡  東京にモータースポーツ施設建設の戦略 💡  工場労働者の娘から国際的レーシングスターへのマインドセット転換 🎯 このエピソードは起業家、ビジネスプロフェッショナル、パーソナルブランド構築中の方、そして「それは無理」と言われたことがある全ての人に最適です。 これは単なるレーシングストーリーではありません。障害をチャンスに変え、本物の関係を築き、予想外の方法で価値を創造するマスタークラスです。奈美さんは、時として最も強力なビジネス戦略は単に「本物の自分でいること」だと証明しています。  今すぐ視聴して、可能性の再定義を発見しよう！🚀

Send us a text 合同会社デザイン思考日本の2025年の未来シグナルの研究について、2人の特別な共同ホスト、つまり2つのAI音声と共に深く掘り下げます。ビジネスのやり方を再構築する4つの重要なトレンドを探求していきます： 🔸 AI + Human - AIと人間の知性が協力パートナーとして機能  🔸 Autonomous Partnerships - 戦略的独立性を持って動作するAIエージェント 🔸 Immersive Reality - 物理世界とデジタル世界のシームレスな融合  🔸 Biological Interactions - 人間の生物学的反応に応答するテクノロジー 我々のAIゲストが、先進的なリーダーたちの戦略的決定を既に推進している研究を分析します。これは、テクノロジーが実際にどこに向かっているのかについて、内部者の視点を得ることと考えてください。 Signals研究は、我々の戦略的業務における内部指針として始まりました。我々が発見したのは、AIのハイプサイクルを越えた明確さ、つまり競争優位性に直接変換できる洞察に対する、業界全体に渡る広範囲な渇望でした。 我々の洞察は伝統的にクライアントやパートナー向けに限定されてきましたが、今日のAI環境はより透明性のあるアプローチを求めています。そのため、我々はこのレポートを公開することを選択しました。我々のコミットメントは、Human Centered, AI Accelerated™が実践においてどのような意味を持つかについて有意義な議論を推進することです。 このレポートは、先進的な経営陣がAIの変曲点を戦略的優位性に転換し、人間の叡智とAI能力の融合点で前例のない価値を創造している様子を明らかにします。 あなたのシグナルへようこそ。

Send us a text We're diving deep into Design Thinking Japan's Future Signals 2025 research with two special co-hosts, two AI voices exploring the four critical trends reshaping how business gets done: 🔸 AI + Human - AI and human intelligence as collaborative partners  🔸 Autonomous Partnerships - AI agents operating with strategic independence  🔸 Immersive Reality - Physical and digital worlds becoming seamless  🔸 Biological Interactions - Technology responding to human biology Our AI guests break down research that's already driving strategic decisions for forward-thinking leaders. Think of it as getting the insider perspective on where technology is actually heading. The Signals research began as an internal compass for our strategic work. What we discovered was a widespread hunger across industries for clarity beyond the AI hype cycle—insights that translate directly to competitive advantage.  While our insights have traditionally been reserved for our clients and partners, today's AI landscape demands a more transparent approach. That's why we've chosen to share this report publicly. Our commitment is to drive meaningful conversation about what Human Centered, AI Accelerated™ means in practice.  This report reveals how forward-thinking executives are turning AI's inflection point into strategic dominance—creating unprecedented value at the convergence of human wisdom and AI capability.  Welcome to your signals.  ... Resources: * Full Future Signals 2025 report: designthinkingjapan.com * Strategic consultations: [email protected]

Send us a text Welcome to the Business Karakie Podcast. Today's episode reveals the untapped potential of AI through design leadership. Design expert Fede Ponce shares how multimodal design systems - not just visual interfaces - are the key to building trust in AI. From autonomous vehicles to daily digital interactions, Fede offers surprising insights about how emotions and cultural context shape successful AI adoption. Join us for a thought-provoking journey into the future of AI and design leadership. Key Points and Takeaways  ✨ Redefining AI Implementation Through Design Key Point: The success of AI initiatives depends on design leadership, not just technical capabilityTakeaway: C-suite leaders must prioritize design thinking in their AI strategy to ensure meaningful adoption✨ The Trust Imperative Key Point: Trust in AI systems is built through sophisticated design transparencyTakeaway: Organizations need to invest in design systems that make AI decision-making visible and understandable✨ Cultural Intelligence in AI Design Key Point: AI interfaces must adapt to cultural contexts, particularly in Asian marketsTakeaway: Success in global markets requires culturally-informed design systems✨ Future of AI Interaction Key Point: Next-generation AI interfaces will be dynamic and context-awareTakeaway: Organizations need to prepare for a shift from static to adaptive AI systems✨ Leadership in the AI Age Key Point: Design leaders must focus on meta-level thinking rather than just toolsTakeaway: C-suite executives should champion design in AI strategyFive Strategic Insights from Fede Ponce "The automation paradox shows us that as user perception of automation increases, their cognitive effort decreases. Without proper design for transparency, this creates significant business risks.""Leaders need to move beyond thinking about AI as a tool and focus on meta thinking - understanding how AI arrives at solutions and how humans interact with these processes.""Future design systems must be multimodal, considering all human senses and cultural contexts. This is particularly crucial in markets like Japan where user expectations are sophisticated.""The future of business interfaces lies in dynamic, context-aware AI systems that adapt to user needs and organizational contexts.""Design leadership in the AI age isn't about mastering tools - it's about understanding how to create meaningful human-AI collaboration frameworks."Connect with Fede here; 

Send us a text Welcome to this episode of the Business Karaoke Podcast, where we delve into the transformative world of design thinking and change management with Ryan Hart, a seasoned expert in customer experience and innovation. Ryan's journey spans multiple industries and continents, bringing a wealth of knowledge from his work with global giants like PwC, HSBC, and Pacific Life. In this episode, Ryan shares his insights on how organizations can successfully navigate the complex landscape of innovation by reframing problems, empathizing with users, and fostering both top-down and grassroots change. Whether you're a leader seeking to drive organizational transformation or an individual aiming to make an impact from within, Ryan's practical advice and compelling stories offer invaluable guidance. Join us for an engaging conversation that uncovers the secrets to unlocking innovation and achieving lasting success in today's fast-paced business world. Don't miss out on these powerful lessons that could change the way you approach business challenges! Key Points and Takeaways ✨ Reframing Problems for Innovation Key Point: Organizations often focus on solving the wrong problems due to misidentified issues.Takeaway: Start by reframing the problem to understand the core issues, often through customer research and usability testing, to drive innovation effectively.✨ Importance of Customer-Centric Design Key Point: Empathizing with user needs is essential for successful change management and design thinking initiatives.Takeaway: Conduct deep research to understand customer and employee needs, ensuring that solutions are aligned with their expectations.✨ The Role of Change Management in Design Thinking Key Point: Change management is integral to implementing design thinking and innovation strategies.Takeaway: Approach change as a collaborative process, involving stakeholders at all levels to ensure initiatives are adopted and sustained.✨ Challenges and Opportunities in Transformation Key Point: Transformation efforts must consider organizational maturity and readiness for change.Takeaway: Be aware of the "frozen middle" in organizations and work to engage all employees in the change process.✨ Balancing Leadership and Grassroots Initiatives Key Point: Successful change requires both top-down and grassroots support.Takeaway: Encourage leadership to be accessible and foster grassroots initiatives that empower employees to drive change.Five Key Quotes from Ryan Hart "Reframing the problem is often the first step in truly understanding the core issues organizations face.""Empathy is at the heart of successful design thinking and change management; without it, initiatives often fail to resonate.""You can't change the direction of an oil tanker on a dime; transformation takes time and commitment.""Grassroots initiatives, driven by passionate employees, can be just as powerful as top-down strategies in driving change.""Always keep an eye on the needs of the customer; they will guide you toward the right direction."Connect with Ryan here.