Partnering with AWS and Anthropic for Athlete Intelligence on Strava

Strava turned complex fitness data into personalized #AI-powered insights with #AWS Strava is using Amazon Bedrock and Claude to safely deliver intelligent insights and maintain community quality at scale. 🏃 With 125M+ users, content moderation is critical. Amazon Bedrock Guardrails helps Strava accurately filter content while delivering actionable performance and training recommendations. The impact: 80%+ accuracy in content classification, with responses that stay uplifting and helpful. Watch the video and read the full story: https://go.aws/43j3t3g

Over the past few weeks, the discussion around the tension between Garmin and Strava has caught everyone’s attention. As a long-time user of both platforms, it’s hard for me to imagine one without the other. In many ways, they seem condemned to understand each other: Strava not only depends on the quality and consistency of data coming from devices like Garmin, but also on the fact that a large share of its users record their activities with Garmin devices. Losing that connection would mean losing a significant portion of its user base. At the same time, Strava’s recent partnership with AWS and Anthropic signals a deeper strategic move. With initiatives like Athlete Intelligence, Strava is no longer just a social network for athletes — it’s evolving into an intelligent training platform, capable of interpreting complex data and turning it into personalized, meaningful insights. This could represent a real shift in the market. Strava’s next natural rival might not be Garmin or any hardware manufacturer, but rather platforms like TrainingPeaks, which have traditionally offered advanced training analytics and planning for professional athletes or those working with coaches. The difference? Accessibility. With AI-driven features, Strava has the potential to democratize access to personalized training — offering athletes of all levels insights and feedback that previously required an expensive subscription or a personal coach. Of course, the human element will always remain irreplaceable. No algorithm can replicate the empathy, intuition, and experience that a coach provides. But if technology can bring structured, data-driven guidance to more people — helping them train smarter, stay motivated, and reach their goals — that’s a step worth celebrating.

When sports and technology combine it brings to life the power of technology innovation to transform industries globally. That’s why I love the news that Amazon Web Services (AWS) will be the DP World Tour’s official cloud provider, bringing a suite of AI-powered solutions to the game that will transform how fans, commentators, and players experience golf. Picture this: you're watching a crucial shot, and instantly you can see the impact of wind conditions, historical success rates from that exact position, and the player's own history - all translated seamlessly into your preferred language in real-time. That is the experience we're building together, using generative AI to combine live, on-course data with rich historical context, to provide richer experiences in those game-changing moments. Now picture delivering those real time insights on your production line, on your network, or at your mission control. Game-changing innovation for all industries. Learn more here: https://lnkd.in/dquYc2qW

💥 𝔽𝕣𝕠𝕞 𝕡𝕠𝕨𝕖𝕣𝕗𝕦𝕝 𝔸𝕀 𝕥𝕠 𝕧𝕚𝕣𝕒𝕝 𝕘𝕣𝕠𝕨𝕥𝕙 - 𝐆𝐫𝐞𝐚𝐭 𝐭𝐨 𝐬𝐞𝐞 𝐭𝐡𝐞 𝐢𝐧𝐜𝐫𝐞𝐝𝐢𝐛𝐥𝐞 𝐬𝐮𝐜𝐜𝐞𝐬𝐬 𝐨𝐟 𝐑𝐞𝐦𝐢𝐧𝐢, 𝐭𝐡𝐞 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐩𝐡𝐨𝐭𝐨 𝐞𝐝𝐢𝐭𝐢𝐧𝐠 𝐚𝐩𝐩 𝐟𝐫𝐨𝐦 𝐌𝐢𝐥𝐚𝐧-𝐛𝐚𝐬𝐞𝐝 𝐝𝐞𝐜𝐚𝐜𝐨𝐫𝐧 𝐁𝐞𝐧𝐝𝐢𝐧𝐠 𝐒𝐩𝐨𝐨𝐧𝐬. By integrating our Nano Banana model via Vertex AI, Remini has experienced an explosion in popularity 🍌 The numbers speak for themselves: 🚀 +175% in weekly installs (reaching 1.16 million globally) 📈 5x more images generated on average by users 🖼️ Over 100 million images created in less than two months This achievement highlights how Google Cloud's scalable infrastructure is essential to support explosive growth without compromising performance, empowering the Remini team to instantly capitalize on their viral moment. ⬇️ https://lnkd.in/dcHBFNaX #WeAreAnAI1stCompanyAndAlwaysHaveBeen

Imagine being the cloud that powers half the internet, and then tripping over your own cables during AI’s biggest growth week. That’s basically AWS right now. After Monday’s outage that froze parts of Alexa, Canva, and even Fortnite, Bloomberg is now saying what everyone in tech has been whispering: AWS might be showing weakness while its rivals scoop up the big AI headlines. Google just signed Anthropic for a multi-billion TPU deal. Microsoft still rides the OpenAI wave. Oracle brags about its new NVIDIA supercluster. And Amazon? Busy explaining why DynamoDB forgot where it put its DNS entries. Still, let’s be fair. AWS remains the biggest by far, and most marketplaces, DTC brands, and SaaS stacks you love still run on it. But this week made something crystal clear: AI bragging rights now matter as much as uptime. Because perception sells. Investors, partners, and founders chase whoever looks like they’re holding the future’s keys. So while AWS patches its automation scripts, Google is renting out GPUs by the gigawatt, and Anthropic is double-dipping between clouds. Maybe “multi-cloud” isn’t just smart architecture anymore. It’s smart marketing. ☁️ Keep your infra portable 💸 Benchmark AI workloads across at least two clouds 🧠 Don’t let your AI roadmap depend on a single DNS record This week reminded everyone that even the biggest cloud can have a cloudy day. #AWS #AI #CloudComputing #Ecommerce #MarketplaceTech #ChannelMojo

This week on Vested Shorts, four stories reveal how Big Tech’s growth is shaping up. 💰 Meta raises $60 B using creative off-book debt ☁️ Amazon’s AWS up 20% - fastest growth since 2022 📱 Apple forecasts 12% revenue rebound this quarter 🎨 Adobe opens its tools to Google & OpenAI models Listen in for how money, momentum, and machine learning are colliding to define Big Tech’s next decade. 🎧 https://vstd.pro/43NK3DE #vestedshorts #usinvesting

Google is the only company in the world to be Fully vertically integrated when it comes to AI, spanning from custom chips to consumer applications. Chips → TPUs Models → DeepMind (Gemini) Cloud → Google Cloud Apps → Gemini, Search, Workspace Edge AI → Pixel Physical AI → Waymo Ventures → Anthropic Proprietary data → YouTube, Maps, Search

Alphabet (+37.9%) was one of the strongest contributors to Sifter’s performance in Q3. Behind the rise, we see clear improvements in the company’s core business. Key signs of strength: 🔸 Search and YouTube revenue remained strong. 🔸 Gemini, Alphabet’s AI assistant, reached the number 1 spot in the App Store with over 450 million users. 🔸 YouTube’s massive video library remains a unique source of training data for Alphabet’s AI models. 🔸 Google Cloud is increasingly becoming core infrastructure for other companies training their AI – a structural edge in the AI economy. When Alphabet looked undervalued in 2024, we increased our position. After nearly a decade in the portfolio, it still represents the kind of long-term quality company with room to grow. Please note that the historical performance of the Fund is not a guarantee of future performance. #marketingcommunication #qualityinvesting #investing

[2/4] Between clouds that hover, Amazon that growls, and Coca that starts over ▼ 🔹 ComfyUI Cloud: the wireless AI workflow ComfyUI moves to the cloud. The most popular node-based platform of the moment opens its Public Beta with Comfy Cloud — no installation, no waiting, everything runs directly in your browser. On the menu: NVIDIA A100 GPUs, 400+ integrated models, preinstalled extensions, and up to 8 hours of daily use for $20/month. The goal: free creators from technical setup to focus purely on creation. Next steps: upload your own models, parallel execution, API, and team collaboration. ☁️ In short, Comfy Cloud is ComfyUI… without the setup headache. 🔹 Spaces: the infinite workshop for creative teams Freepik launched Spaces at Upscale Conf — a real-time collaborative canvas where node-based workflows become a shared playground. You can build, edit, and comment together without ever leaving the same page. Ready-to-use templates, image generation, video creation, brainstorming… everything fits in. 🔹 Amazon wants to block Perplexity Amazon sent a legal threat to Perplexity to prevent its Comet assistant from making purchases on its platform. The reason: “unauthorized use.” Perplexity denounces intimidation tactics and defends users’ right to use their own AI to browse, compare, and buy. At stake: control over the buying journey. Amazon wants to keep hold of its ads and recommendations, while Perplexity defends a web where agents truly act on behalf of the user. Octagon! 🔹 Thine: the AI that knows you better than you do Thine introduces itself as a “co-founder for your life” — an AI that doesn’t just respond to prompts but accompanies your personal and professional journey. Its goal: to capture subtle signals — conversations, reflections, team exchanges — to reveal the questions you don’t know how to ask. This AI doesn’t search what you request, but what you live. It connects open loops, forgotten discussions, unspoken doubts. Designed not to execute, but to understand who you’re becoming. Maybe soon, AI will tell you: “Your stomach hurts because you swallowed your emotions instead of saying them, dumbass.” 🔹 Coca-Cola does it again Coca-Cola strikes back with a 100% AI-generated Christmas ad, recreating the brand’s iconic 1995 spot with the red trucks and Holidays are Coming. Produced using over ten generative models (including Veo 3 and Sora), the brand claims 70,000 video segments refined by humans. Pratik Thakar, Global VP and Head of Generative AI, stands by the choice: “Last year it was criticized; this year, it’s ten times better.” The internet, however, remains ice-cold: “Coca-Cola is red because it’s made from the blood of unemployed artists,” quips Alex Hirsch (Gravity Falls).

While we often are told that "95% of Generative AI projects fail," Strava's success with Amazon Bedrock offers valuable insights into what separates those that succeed. Looking at this case study through a healthcare lens, several success factors stand out: • Strava started with a clear user need: making complex data accessible and meaningful • Strava implemented appropriate guardrails for safety and trust • Strava measured success through user feedback (80% positive) • Strava leveraged Amazon Web Services (AWS) Generative AI Innovation Center to augment their in-house expertise.   As healthcare leaders, we should study these successful implementations closely. The question isn't whether Generative AI can deliver value, but rather what implementation approach maximizes success.