Gemini マルチメディア ライブラリ
実践的なハウツーから革新的な活用事例まで、Gemini がスタートアップの成長を加速させる具体的な方法をライブラリー内にご紹介します。ライブラリをぜひご活用ください。
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Google AI Studio で Gemini API キーを取得する
Google AI Studio で Gemini API キーを取得する
AI Studio でテストできるのは素晴らしいことですが、これらの高度な機能すべてをお客様のプロダクトに組み込むにはどうすればよいでしょうか。API の統合は複雑に思われるかもしれませんが、すべては簡単なワンステップから始まります。この動画は、Google AI Studio から 1 分以内に Gemini API キーを取得する方法を説明する、明快でわかりやすいチュートリアルです。
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How to Build AI Agents: The Modern Tech Stack (ADK & Vertex AI)
How to Build AI Agents: The Modern Tech Stack (ADK & Vertex AI)
Google Cloud's Ahsif Sheikh provides a technical deep dive into the modern tech stack for building AI agents, breaking down essential Google and open-source components like the Agent Development Kit (ADK) and Vertex AI.
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Step-by-Step AI Agent Tutorial: Build, Test, and Deploy with ADK
Step-by-Step AI Agent Tutorial: Build, Test, and Deploy with ADK
In this hands-on tutorial, Google Cloud's Ivan Nardini guides you step-by-step through the entire process of building, testing, and deploying a functional AI agent using the Agent Development Kit (ADK) and Google Cloud.
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What is the Model Context Protocol (MCP)? An Expert Explanation
What is the Model Context Protocol (MCP)? An Expert Explanation
In this expert explanation, Anthropic's Elie Schoppik breaks down the Model Context Protocol (MCP) and details how this open standard works to make AI agents more effective, trustworthy, and secure.
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Live Demo: Connecting an ADK Agent with MCP & the Reddit APIDescription
Live Demo: Connecting an ADK Agent with MCP & the Reddit APIDescription
In this live demo, Google Cloud's Ivan Nardini demonstrates how to integrate an agent built with the Agent Development Kit (ADK) with the Model Context Protocol (MCP) to connect it to a real-world tool using the Reddit API.
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A Developer’s Guide to Nano Banana & Veo: Google for Startups
A Developer’s Guide to Nano Banana & Veo: Google for Startups
In this in-depth tutorial, Google AI Specialist Akanksha Bhusari guides developers through a complete AI video generation workflow, covering advanced prompt engineering for Veo and using Google's generative media models like Nano Banana and Imagen in Vertex AI.
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A Marketer’s Guide to Nano Banana & Veo: Google for Startups
A Marketer’s Guide to Nano Banana & Veo: Google for Startups
Google Cloud's Jess Jinkins provides a practical guide for marketers on how to use generative AI models like Gemini, Imagen, and Veo within AI Studio to easily brainstorm, create, and animate content.
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トレーニング
Google AI Studio で Gemini API キーを取得する
Google AI Studio で Gemini API キーを取得する
AI Studio でテストできるのは素晴らしいことですが、これらの高度な機能すべてをお客様のプロダクトに組み込むにはどうすればよいでしょうか。API の統合は複雑に思われるかもしれませんが、すべては簡単なワンステップから始まります。この動画は、Google AI Studio から 1 分以内に Gemini API キーを取得する方法を説明する、明快でわかりやすいチュートリアルです。
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Code Execution with Gemini | Intro to Tools 2
Code Execution with Gemini | Intro to Tools 2
Learn how to use the Code Execution tool with Gemini, which enables the model to generate and run Python code, for problems that involve math, data analysis, and code-based reasoning. This is Part 2 of our series on using tools with the Gemini API.
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Overview of the new vibe coding experience in AI Studio
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Introducing Annotation Mode in AI Studio
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Vibe Code with Your Voice in Google AI Studio
Vibe Code with Your Voice in Google AI Studio
Introducing a new way to build: vibe code with your voice. See how you can dictate changes, add features, or describe your app using our new speech-to-text feature in Google AI Studio. It intelligently removes filler words and mistakes for a clean, efficient prompt every time.
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Build an AI Restaurant Finder in 60 Seconds with Gemini & Google Maps Grounding in AI Studio
Build an AI Restaurant Finder in 60 Seconds with Gemini & Google Maps Grounding in AI Studio
Go from idea to a live restaurant recommender app in under a minute. This tutorial shows you how to use the power of Gemini and Google Maps Grounding in Google AI Studio to build powerful, location-aware AI applications with incredible speed.
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Explore the new App Gallery in AI Studio
Explore the new App Gallery in AI Studio
In this video, we'll explore the new App Gallery in AI Studio, which provides a practical collection of AI apps designed to accelerate your development process. Ideal for rapid prototyping and vibe coding sessions, this gallery allows you to test working examples immediately and see how different AI implementations behave in practice. Instead of starting from scratch, you can use these apps as reference implementations, directly remixing the codebase to extend functionality, integrate new features, and build out your own custom projects faster.
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Introducing Google Maps Grounding in the Gemini API
Introducing Google Maps Grounding in the Gemini API
Unlock powerful new experiences by connecting the Gemini API with Google Maps. With access to real-time data from over 250 million places, you can now build incredible, location-aware AI applications.
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New & Improved API Key and Project Management in Google AI Studio
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Google AI Studio と Imagen を使用した画像の生成と編集
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Fine tuning Gemini with Google AI Studio
Fine tuning Gemini with Google AI Studio
Unlock the power of customized AI with Gemini and Google AI Studio. Join Googler Paige Bailey in this tutorial as she explains fine-tuning, practical steps for implementation, and valuable best practices to create custom AI solutions tailored to your needs.
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Google AI Studio: Advanced features
Google AI Studio: Advanced features
Unlock the full potential of Google AI Studio with this guide to its advanced features. Join Googler Paige Bailey as she explores capabilities like “Code Execution" and "JSON mode" to refine model behavior, customize output, and integrate with your applications.
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How to use the Gemini APIs: Advanced techniques
How to use the Gemini APIs: Advanced techniques
Dive into the world of advanced Gemini API techniques for developers. Join Googler Paige Bailey as she explores the power of long context, context caching, and code execution to build more powerful and innovative AI applications.
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Function calling with the Gemini API
Function calling with the Gemini API
Unlock the power of function calling with the Gemini API. This feature allows you to connect your language models with external systems and APIs, making your applications more dynamic. Watch along and learn how to define functions, make calls, and leverage multi-turn conversations for interactive experiences.
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Build full-stack AI apps in minutes with Firebase Studio
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From AI Studio to Building an app in flutter
From AI Studio to Building an app in flutter
Discover how to use Flutter to rapidly build and validate applications, accelerating the journey from idea to production. Prototype a generative AI solution, then build an app that leverages Vertex AI in Firebase.
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Vibe coding with Firebase studio
Vibe coding with Firebase studio
Firebase Studio, formerly Project IDX, is a cloud-based environment for building, testing, and deploying production-quality applications. Discover how to use Firebase Studio's App Prototyper to quickly build AI applications. Follow along as we build an app to estimate food macros and customize the app with Gemini.
活用事例
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Startup founder spotlight: Michele Catasta, Replit
Startup founder spotlight: Michele Catasta, Replit
Join Stephanie Wong and Michele Catasta (President and Head of AI at Replit) live from Google Cloud Next '26 for a deep dive into the paradigm shift currently disrupting the software industry. From the rise of "vibe coding" to the transition of developers becoming "managers of agent swarms," Michele reveals how Replit is leveraging Google’s Gemini models to democratize software creation for the next billion builders.
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The AI startup transforming the health of 100,000+ women with Cloud Run, BigQuery, and Looker Studio
Explore how Moody Month uses Google Cloud to bridge the gap in female health data. By integrating Gemini and Vertex AI, they provide real-time, personalized predictions that help women understand their bodies better every day.
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Content creation platform increases subscriptions by 20% with multimodal AI
Learn how Wondercraft is redefining audio production by turning text into studio-quality sound. By leveraging the advanced capabilities of Gemini and Vertex AI, they enable creators to generate scripts, translations, and hyper-realistic voices in a fraction of the time.
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活用事例
Startup use case: How Arva AI Uses Gemini to Automate Risk Screening for Banks and Fintechs
Startup use case: How Arva AI Uses Gemini to Automate Risk Screening for Banks and Fintechs
Banks and fintechs are overwhelmed by compliance alerts and false positives. In this video, Rhim Shah, co-founder and CEO of Arva AI, shows how the team built Screening AI using Gemini to automate risk investigations with speed and accuracy.
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活用事例
Startup use case: How Tinybird Built a Full Data Dev Agent with Gemini
Startup use case: How Tinybird Built a Full Data Dev Agent with Gemini
Tinybird cofounder Javi Santana reveals how their Gemini-powered agent debugs errors and writes cleaner SQL, streamlining the entire real-time data lifecycle.
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活用事例
Startup use case: Ilmiya scales personalized learning to thousands of students with Gemini models
Ilmiya, an AI-powered education platform, leverages Gemini models to automate course content generation and personalize study guidance. This integration accelerated development cycles by 70% and boosted student retention and engagement by 25%.
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活用事例
Startup use case: How Tinybird Uses Gemini to Write and Optimize SQL
Startup use case: How Tinybird Uses Gemini to Write and Optimize SQL
Discover from Jorge Gómez Sancha, cofounder and CEO of Tinybird, how Gemini helped evolve Tinybird Code from a simple SQL generator into a full development co-pilot.
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Startup use case: Korean startup Smoretalk builds smarter AI visual assistants for marketers
Smoretalk’s AI assistants, built with Gemini models, help marketers create on-brand visuals from reference images. The team’s integration of the Imagen API increased monthly usage of a key feature in their flagship tool by 10X. Additionally, using the Gemini 2.5 Flash Image model in their specialized ad-creation tool has helped them secure enterprise clients.
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活用事例
Startup use case: Eon transforms cloud backups to AI-ready data lakes
Startup use case: Eon transforms cloud backups to AI-ready data lakes
Eon is a cloud-native, autonomous backup platform that unifies cloud backup posture management with a backup-optimized storage tier built on Google Cloud. It transforms cloud backups into instantly usable data lakes for AI, analytics, and recovery—eliminating silos and reducing operational and storage costs.
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Startup use case: How Improving Aviation uses Gemini and Google Cloud to predict and combat wildfires
Startup use case: How Improving Aviation uses Gemini and Google Cloud to predict and combat wildfires
Startup use case: How Improving Aviation uses Gemini and Google Cloud to predict and combat wildfires
Wildfires are a growing threat, but what if we could predict them with near real-time accuracy? In this video, we explore how Improving Aviation is doing just that, using the power of Gemini and Google Cloud's machine learning capabilities. Learn how to build impactful solutions with Google Cloud.
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活用事例
Startup use case: Hudson AI is transforming how global content is consumed using AI-powered translations
Hudson AI is redefining content with multimodal AI that delivers natural, synchronized translations. Based in South Korea, they accelerated their growth via Google for Startups Accelerator: AI First, the Seoul City & Google Job Festival, and our 10th Anniversary AI Festival.
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Startup use case: Huna uses AI to bring accessible early cancer detection to all
Huna, a Brazilian deeptech startup, is revolutionizing early cancer detection by transforming routine blood tests into intelligent screening tools. Leveraging Google's Vertex AI and Gemini models, Huna's technology identifies subtle cancer patterns, enabling earlier diagnoses and significantly reducing treatment costs.
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Startup use case: Wanted Lab leads the way in AI-powered talent acquisition in South Korea
Wanted Lab is transforming talent acquisition through its AI-powered platform. This innovative solution incentivizes candidate referrals and optimizes the hiring process for companies. Their success, including a notable IPO and international expansion into Japan, has been supported by Google for Startups.
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Startup use case: Kimba is revolutionizing sleep with AI & scent therapy
For the millions worldwide who struggle with quality sleep, healthtech startup Kimba may be a dream come true. The company is transforming the nightly routine into a personalized journey toward well-being using a unique blend of Google AI and scent therapy.
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Startup use case: How Vetnet Social built their career transformation platform with generative AI
Transitioning from the battlefield to the business world is a challenge many veterans face. Recognizing this gap, Pradeep Muthuswamy, a retired major from the Indian Army, founded Vetnet Social, a mission-driven startup that’s leveraging AI to empower veterans in their career transitions.
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Startup use case: Spline - Sculpting the Future of Interactive 3D with the Gemini API
Spline is now integrating Gemini 2.5 Pro Preview capabilities with its new canvas editor, Hana, to empower users to effortlessly generate entire interactive 3D and 2D experiences directly from textual descriptions, fostering a new era of collaborative creation.
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Startup use case: Cartwheel - Animation with Gemini API & Imagen 3
Cartwheel stands at the forefront of next-generation animation, and integrates Imagen 3 for intuitive text-to-character design, and harnesses Gemini 2.5 Pro Preview to develop sophisticated animation-specific algorithms
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Startup use case: Tzafon selects Google Cloud to build next-generation agentic machine intelligence
Tzafon, a San Francisco-based startup and AI R&D lab, is partnering with Google Cloud to utilize Google’s AI-optimized infrastructure and cloud services to help Tzafon deliver automation at large scale.
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Startup use case: Augment Code accelerates AI coding with Google Cloud and NVIDIA
Startup use case: Augment Code accelerates AI coding with Google Cloud and NVIDIA
Augment Code is a developer AI platform that deeply understands your codebase and helps teams write better code faster. Augment partnered with Google Cloud and NVIDIA to ensure they have stability, security and high availability for their users.
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Startup use case: Barkyn Health: Making every dog's life longer and healthier with Google Cloud's AI
Barkyn, a pet care startup, transformed from a dog food company into a holistic pet health service with Google Cloud. Using Vertex AI and Gemini, they built an AI-powered Assistant that gives personalized insights to help pet owners proactively manage their dog's health.
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Startup use case: Temporal moves fast so engineers can build better
Startup use case: Temporal moves fast so engineers can build better
Temporal's core mission is to provide a new way of creating complex applications more quickly and operating them more reliably, ensuring that critical infrastructure can fail without disrupting business processes. By leveraging Google Cloud, Temporal runs its core business intelligence systems and customer delivery systems, allowing its engineers to focus on improving customer offerings while benefiting from Google's secure-by-design architecture and advanced AI suite.
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Startup use case: Harvey - Gemini 2.5 Pro Preview’s Advanced Legal Reasoning
Harvey, a dynamic startup dedicated to transforming legal workflows through AI, confronted this by developing BigLaw Bench, their comprehensive framework for assessing Large Language Model (LLM) performance on tasks mirroring actual legal work.
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ユースケース
スタートアップのユースケース: Viggle - Gemini 2.0 Flash を使用した動画制作ツール
スタートアップのユースケース: Viggle - Gemini 2.0 Flash を使用した動画制作ツールViggle は、スタートアップによるバイラル AI 動画制作ツールです。写真を全身の動きを伴う魅力的なアニメーションに変換でき、ミームやダンス コンテンツに最適です。Gemini 2.0 Flash や Imagen 3 などの高度な AI モデルを活用して、顔の差し替え、ダンスムーブを伴う写真のアニメーション化、映画シーンへのユーザーの挿入などの機能を提供し、「Image-to-Virtual Video Characters」や「Dynamic AI Narration」のような新機能のプロトタイピングを行っています。
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活用事例
Startup use case: How Telmai is building a new way to help companies build trust in their data
Startup use case: How Telmai is building a new way to help companies build trust in their data
Telmai is a data observability company that leverages AI to enable enterprise data teams to monitor and automate data quality across the entire data pipeline, from source to consumption.
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活用事例
Startup use case: Resistant AI is building a new way to stay ahead of bad actors with AI/ML
Startup use case: Resistant AI is building a new way to stay ahead of bad actors with AI/ML
Resistant AI is building AI-powered solutions to combat fraud in financial services documentation and workflows with the help of Google Cloud. These solutions can expedite background checks, reduce fraud losses, and speed up underwriting and claims processing processes.
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活用事例
Startup use case: How Arize AI is building a new way to evaluate and observe LLM apps with Google Cloud
Startup use case: How Arize AI is building a new way to evaluate and observe LLM apps with Google Cloud
Startup use case: How Arize AI is building a new way to evaluate and observe LLM apps with Google Cloud
Learn how Arize AI, an AI observability and LLM evaluation platform, partners with Google Cloud to give organizations a whole new way to deploy their gen AI applications successfully using Vertex AI. Arize AI works seamlessly with Google Vertex AI models, offering total visibility into every layer of an LLM-based software system: the application, the prompt, and the response. Teams deploying AI on Google Vertex AI or other Google Cloud ML offerings can easily integrate with Arize.
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活用事例
Startup use case: Patchstack’s software prevents thousands of WordPress security vulnerabilities
Learn how Patchstack, an alumnus of the Google for Startups Growth Academy: AI for Cybersecurity program, is using Gemini 2.5 Pro to protect users globally from open-source vulnerabilities. From identifying new threats to mitigating attacks in real time, Patchstack offers a comprehensive approach to open-source security.
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活用事例
Startup use case: Vela Partners - Grounding with Google Search for Deeper, faster insights
Vela Partners, a leading quant venture capital firm, is revolutionizing this process by leveraging the Gemini API, turning the art of investment into a data-driven science with unprecedented speed and precision.
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活用事例
Startup use case: Mettle is transforming the mental health landscape for men
Built in the UK, Mettle is redefining men's mental fitness with a gamified toolkit of meditation, breathwork, mind hacking, and hypnosis. The app uses Google's Gemini to help break stigma and strengthen the mind.
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活用事例
Startup use case: Causal helps businesses put finance on autopilot with Google Cloud and AI
Startup use case: Causal helps businesses put finance on autopilot with Google Cloud and AI
Causal's mission is to simplify financial planning for startups. To achieve this, the finance platform sought assistance in boosting performance and maximizing its time and talent. With Google Cloud, Causal now leverages Cloud SQL, BigQuery, Filestore, and Memorystore for Redis to manage its data and free up its team to focus on building innovative financial models. Additionally, Causal used Gemini to build a generative AI-powered setup wizard that helps users connect their data, analyze patterns, and generate financial models in just five minutes.
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活用事例
Startup use case: Mindgram aims to democratize access to mental health care to improve productivity
Founded during the Covid-19 pandemic, Mindgram is an employee wellbeing platform created to address rising mental health challenges at work. Using Google's Gemini, it offers a holistic 24/7 solution through web and mobile apps, providing psychological support and self-development tools to them thrive.
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活用事例
Startup use case: Vita Vere - Empowering independence with Gemini Flash
Startup use case: Vita Vere - Empowering independence with Gemini Flash
Vite Vere is a generative AI app that harness the power of cutting-edge multimodal capabilities to help users with cognitive disabilities become more independent. See how Guido, the creator, took personal inspiration and made it come to life with Gemini Flash and Flutter.
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専門家の知見
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専門家の知見
Master AI Video Marketing w/ Magnific CEO Joaquín Cuenca Abela | AI Basics
Master AI Video Marketing w/ Magnific CEO Joaquín Cuenca Abela | AI Basics
In TWiST AI Basics, J-Cal and Magnific CEO Joaquin Cuenca Abela discuss how generative AI transforms startup creativity. They explore how individual founders can now streamline production, using AI to scale high-quality output faster and cheaper than ever before.
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専門家の知見
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough
Demis Hassabis has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads Google DeepMind, pushing toward the same goal he set as a teenager: AGI.
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専門家の知見
Future of AI: Perspectives on generative media for startups
The ‘Future of AI: Perspectives on generative media for startups’ report features leading voices in AI including top founders, investors and Googlers. Hear their perspectives on the most critical generative AI innovations, media trends, opportunities, and challenges that startup leaders should consider when building and scaling in 2026.
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専門家の知見
Engineering the Next Era of Agentic AI (with Publicis Sapient)
Engineering the Next Era of Agentic AI (with Publicis Sapient)
Join host Salim Hasham as he sits down with Publicis Sapient's Sharonyka Kumar and Vishnu Indugula to explore why true AI transformation demands fixing the enterprise core rather than just polishing the shiny front end. Together, they trace the company's incredible 100-year evolution from an advertising pioneer to a technology powerhouse, revealing how platforms like Bodhi are bridging the gap between the CMO and CIO.
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専門家の知見
Unlocking Trapped Value: How Agents Revolutionize Workflows (with Susan Emerson of Salesforce)
Unlocking Trapped Value: How Agents Revolutionize Workflows (with Susan Emerson of Salesforce)
Salesforce’s own Susan Emerson joins us to discuss the revolutionary shift to agentic AI – and how AgentForce is empowering enterprises to deploy autonomous digital workforces. From "zero-copy" data interoperability to practical strategies for adoption, discover how organizations can move beyond the hype to unlock trapped value with agents that plan, reason, and execute.
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専門家の知見
The Most Expensive Mistake in AI (And How to Avoid It)
The Most Expensive Mistake in AI (And How to Avoid It)
Marcus Oliver, lead of Google delta joins us to discuss why the most expensive mistake in AI is rushing to code without a strategy. He details how businesses can escape the "coding trap" by focusing on reimagining value chains and deploying multi-agent systems to drive real business outcomes.
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専門家の知見
Hassabis on an AI Shift Bigger Than Industrial Age
Hassabis on an AI Shift Bigger Than Industrial Age
Google DeepMind CEO Demis Hassabis joins Bloomberg’s Emily Chang at Davos 2026 to map the future of AI. Explore their insights on advancing foundational models, scaling real-world applications, and ensuring responsible development.
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専門家の知見
The questions every CEO should ask about AI (with Anuj Kadyan of McKinsey & Co)
The questions every CEO should ask about AI (with Anuj Kadyan of McKinsey & Co)
Is AI an evolution or a revolution? McKinsey’s Anuj Kadyan breaks down major enterprise shifts and the critical questions every CEO must ask. Discover the organizational 'DNA' required to successfully scale and succeed in this new era.
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専門家の知見
From pilot to production: Google Cloud’s Noel Kenehan on building AI that works
From pilot to production: Google Cloud’s Noel Kenehan on building AI that works
How do you move from AI experiment to business solution? Google Cloud’s Noel Kenehan discusses the 'pilot to production' roadmap, detailing the practical steps leaders must take to build scalable systems that work in the real world.
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専門家の知見
Becoming AI-First: A Partner's Blueprint with Egen CEO
Becoming AI-First: A Partner's Blueprint with Egen CEO
How do organizations truly become 'AI-First'? In this episode of AI Vantage, host Salim Hasham is joined by Egen CEO Saleem Janmohamed to discuss the blueprint for success. Discover the strategic shifts required to move beyond experimentation and build a scalable, AI-driven enterprise.
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専門家の知見
How AI agents will impact your business (Google DeepMind explains)
How AI agents will impact your business (Google DeepMind explains)
How will AI agents change your business in the next 3-5 years? Tris Warkentin, a PM at Google DeepMind joins us in the studio to discuss the impact of AI on the Google ecosystem and how businesses can prepare.
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専門家の知見
What happens when AI, Cloud, and Mobile converge?
What happens when AI, Cloud, and Mobile converge?
In a special discussion, Google Cloud's Sachin Gupta, VP/GM for Infrastructure and Solutions Group, sits down with Erik Ekudden, CTO of Ericsson. Together, they explore how this powerful combination is reshaping industries and creating new opportunities for communication service providers.
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専門家の知見
How could AI impact the global economy?
How could AI impact the global economy?
Google’s Senior Vice President of Research, Labs, Technology & Society James Manyika sits down with Nobel laureate in Economics, Michael Spence and President of Queens' College at Cambridge, Mohamed El-Erian, for a discussion about the economic implications of artificial intelligence.
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専門家の知見
What is the Potential of Personalized Learning?
What is the Potential of Personalized Learning?
Join Julia Gillard, 27th Prime Minister of Australia and Chair of The Wellcome Trust, and Lila Ibrahim, COO of Google DeepMind as they discuss how AI can help transform learning experiences, enhance teaching methodologies, and their own personal commitments to global education.
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専門家の知見
Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games
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Thought leadership
Demis Hassabis on shipping momentum, better evals and world models
Demis Hassabis on shipping momentum, better evals and world models
Demis Hassabis, CEO of Google DeepMind, sits down with host Logan Kilpatrick. In this episode, learn about the evolution from game-playing AI to today's thinking models, how projects like Genie 3 are building world models to help AI understand reality and why new testing grounds like Kaggle’s Game Arena are needed to evaluate progress on the path to AGI.
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専門家の知見
Future of AI: Perspectives for Startups
The ‘Future of AI: Perspectives for Startups’ report features 23 leading voices in AI. Hear their perspectives on the most critical AI and Cloud AI innovations, trends, opportunities, and challenges that startup leaders should consider when building and scaling in 2025.
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