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Reel di Tendenza

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#Benchmarking Reel by @cnnbrasil (verified account) - No último episódio de No Lucro, Jim Farley, CEO global da Ford, revela a @phelipe.siani que os engenheiros brasileiros ocupam um papel estratégico den
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CN
@cnnbrasil
No último episódio de No Lucro, Jim Farley, CEO global da Ford, revela a @phelipe.siani que os engenheiros brasileiros ocupam um papel estratégico dentro da companhia. Segundo ele, a combinação de criatividade, espírito competitivo e foco em benchmarking cria um nível de excelência difícil de encontrar em qualquer outro lugar do mundo. E os profissionais brasileiros apostam com força na disputa com os chineses — uma batalha que ocupa o mundo do automobilismo como um todo. Farley explica que o mercado exigiu decisões duras e uma reformulação profunda do negócio, mas que manter os talentos do Brasil, mesmo depois da saída da fábrica do território, é essencial. 📺 O episódio completo está disponível no nosso YouTube. É só clicar no link da bio para assistir! #Ford #Inovação #Tecnologia #IndústriaAutomotiva #EngenhariaBrasileira #Liderança #FuturoDoTrabalho #CNNLifestyle #CNNBrasil
#Benchmarking Reel by @wguidara (verified account) - Rory Sutherland flipped the idea of looking at your competition on its head: Find what everyone else does badly… and do it really, really well. It's a
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@wguidara
Rory Sutherland flipped the idea of looking at your competition on its head: Find what everyone else does badly… and do it really, really well. It’s a call to start reframing through “reverse benchmarking” and celebrate originality over imitation. Because when every business looks the same, nobody wins. His full talk (and so many other brilliant ideas from this year’s Welcome Conference) are all available on our YouTube channel at the link in bio! #welcomeconference
#Benchmarking Reel by @jhon_freitas (verified account) - Estamos entrando na era em que IA como o Claude já estrutura análises comparáveis às de grandes consultorias, em minutos. 📊🤖 Com prompts bem defini
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@jhon_freitas
Estamos entrando na era em que IA como o Claude já estrutura análises comparáveis às de grandes consultorias, em minutos. 📊🤖 Com prompts bem definidos, já é possível gerar: • Análise de TAM, SAM e SOM • Mapeamento competitivo • Benchmarking estratégico • Modelos de unit economics (CAC, LTV, payback) • Cenários de expansão e pricing Um projeto de consultoria estratégica pode custar US$ 100 mil a US$ 1 milhão e levar semanas. Com IA, boa parte da etapa analítica pode ser feita em horas, por uma fração do custo. Se apenas 10% das PMEs globais adotarem IA para substituir parte de consultorias externas, estamos falando de um impacto potencial de centenas de bilhões de dólares em eficiência e realocação de capital nos próximos anos. Isso não elimina consultorias, mas muda o jogo: Empresários passam a chegar mais preparados, validar hipóteses antes de investir pesado e tomar decisões com base em dados estruturados. Quem usar IA para: • Testar mercados antes de expandir • Validar modelos de receita • Simular cenários financeiros • Mapear concorrência global vai operar com velocidade e clareza estratégica antes restritas a grandes corporações. A vantagem competitiva deixa de ser acesso à informação. Passa a ser capacidade de formular as perguntas certas. 🚀 E se vc quer ir pro Vale do Silício aprender ainda mais sobre IA, comenta: “VALE” Que eu vou te mandar a aplicação para ir comigo dias 10-15 de Agosto. Vamos entrar no mundo de IA para negócios.
#Benchmarking Reel by @zachstechturf - If you see ZTT Benchmark… run #PCBuild #GamingPC #PCBuilding #Benchmarking #PCGaming
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@zachstechturf
If you see ZTT Benchmark… run #PCBuild #GamingPC #PCBuilding #Benchmarking #PCGaming
#Benchmarking Reel by @socialwithwems - Rory Sutherland's concept - "the reverse benchmark" - challenges conventional thinking by asking what companies would do if they were trying to achiev
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@socialwithwems
Rory Sutherland’s concept – “the reverse benchmark” – challenges conventional thinking by asking what companies would do if they were trying to achieve the opposite of their intended goal. It’s a creative strategy tool used to uncover inefficiencies, blind spots, or missed opportunities by flipping typical benchmarking on its head. Instead of asking, “What are the best in the industry doing?”, the reverse benchmark asks, “What would we do if we wanted to make this experience worse?”—and then ensures you’re not accidentally doing those very things.
#Benchmarking Reel by @robinhoodapp (verified account) - See your growth and how your portfolio measures up to the market. Benchmarking is rolling out in Robinhood Strategies. Disclosure: For illustrative
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@robinhoodapp
See your growth and how your portfolio measures up to the market. Benchmarking is rolling out in Robinhood Strategies. Disclosure: For illustrative purposes only, results not reflective of any actual client. Actual results may differ materially. Investing involves risk, including the loss of principal. Portfolio management offered by Robinhood Asset Management, LLC (“Robinhood Strategies”), an SEC-registered investment advisor.
#Benchmarking Reel by @hannah.thinking - I work on a model evaluation and benchmarking team. Amazon has its own models, like Nova, but there are also hundreds of new models and AI agents bein
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@hannah.thinking
I work on a model evaluation and benchmarking team. Amazon has its own models, like Nova, but there are also hundreds of new models and AI agents being developed internally every day. (I feel like recently the speed of new model/agents is going crazy 🤯) My team runs a service that benchmarks these models, basically evaluating how well they perform, and generates reports that help teams understand their performance and cost. We also benchmark external models like Claude, ChatGPT, Gemini, Qwen, and DeepSeek, and compare them with our internal models and agents. My main tech stack is Python, Java, and React/JavaScript. I work as a full-stack engineer, although about 85% of my work is focused on backend development. One thing I really like about my team is that we’re always at the frontier of new AI models across the industry, including companies like OpenAI, Anthropic, Google, and others. Because of that, we constantly have to stay up to date — reading research papers, learning about new models, evaluation metrics, and emerging techniques. I really enjoy being in a space where the technology is evolving so quickly and where we’re always working with the latest advancements 🫶🏻✨💻 . 저는 모델 평가 및 벤치마킹 팀에서 일하고 있어요. Amazon에는 Nova 같은 자체 모델도 있지만, 그 외에도 내부에서 매일 수백 개의 새로운 모델과 AI 에이전트가 개발되고 있답니다 (새로운 에이전트와 모델 개발 속도가 체감상 두배는 빨라진 거 같아요 🤯) 저희 팀은 이러한 모델들을 벤치마킹하는 서비스를 운영하고 있어요. 쉽게 말해 모델의 성능을 평가하고, 각 팀이 모델의 성능과 비용 리포트를 만듭니다. 제가 사용하는 주요 스택은 Python, Java, 그리고 React/JavaScript입니다. 저는 풀스택 엔지니어로 일하고 있지만, 실제 업무의 약 85%는 백엔드 개발이긴 해요 ㅎㅎ 제가 제 팀에서 특히 좋아하는 점 중 하나는 업계 전반의 새로운 AI 모델들을 가장 앞에서 접할 수 있다는 점입니다. OpenAI, Anthropic, Google 같은 회사들의 모델도 저희 팀에서 모두 다루니까요 ㅎㅎ 그래서 항상 누구보다 빠르게 새로운 기술들과 에이전팅을 배우고 써봐야해요. 새로운 모델이나 평가 지표, 기술들을 이해하기 위해 논문도 읽고 계속 공부해야 안 뒤쳐지는 거 같아요:) 그래서인지 더 재밌답니다! #aiengineer #softwareengineer #aiengineering #engineerlife #dayinthelife
#Benchmarking Reel by @raph__ai - Comment « Claude » to receive everything from screening top performing inspiration to making 20+ ad creatives. Everything handle. Claude identifies i
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@raph__ai
Comment « Claude » to receive everything from screening top performing inspiration to making 20+ ad creatives. Everything handle. Claude identifies inspiring brands in your category or adjacent ones. Then it browses their Meta Ads libraries to bookmark their ads. → you just saved 2 hours of benchmarking You review the selection and pick your preferred choice. One limit = you need to manually extract the PNGs and put them in a Google drive. → that’s the only manual step Pletor imports the inspiration creatives from your Google Drive. Produces dozens of new ads based on these inspirations. Export the outputs into a Google Drive folder. → you just saved days of creative production.
#Benchmarking Reel by @soniapandey_ - 1️⃣ Value Chain Nike doesn't just make shoes. They design, source, manufacture, market, and sell them. Each step either adds value or bleeds money. C
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@soniapandey_
1️⃣ Value Chain Nike doesn’t just make shoes. They design, source, manufacture, market, and sell them. Each step either adds value or bleeds money. Consultants find exactly where the bleeding happens. 2️⃣ North Star Metric When Spotify was losing users, they stopped obsessing over revenue and asked: how many minutes are people actually listening? That one number became their compass. That’s your North Star. One metric that tells you the whole story. Rides completed for Uber, hours watched for Netflix. 3️⃣ Low Hanging Fruit A hospital hired McKinsey to cut costs. Before touching anything complex, consultants noticed lights running 24/7 in empty rooms. Fixed in a week. Saved millions. That’s low hanging fruit obvious wins hiding in plain sight. 4️⃣ Synergy When Disney bought Pixar, Disney got the creative genius, Pixar got the distribution muscle. Together worth far more than apart. That’s synergy, when 1 + 1 = 3. 5️⃣ Burning Platform Nokia knew smartphones were coming. They just didn’t feel the fire yet. By the time they did, Apple had already won. A burning platform is when the cost of staying the same becomes greater than the cost of changing. 6️⃣ MECE If you’re diagnosing why a restaurant is losing money, it’s either too little revenue or too much cost. Those two buckets cover everything and never overlap. That’s MECE thinking. 7️⃣ Benchmarking When Starbucks entered China, they didn’t guess their pricing. They studied every premium café in Shanghai first. That’s benchmarking knowing exactly where you stand before you make a move. Save this. Your interviewer will notice the difference. 🔖 Comment 🙌🏻 or follow me and send me this reel and I’ll send you the full list of 30 consulting terms you must know before any consulting interview.
#Benchmarking Reel by @econofisico - A crossbar chip for benchmarking semiconductor spin qubits: https://www.nature.com/articles/s41928-026-01569-5
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@econofisico
A crossbar chip for benchmarking semiconductor spin qubits: https://www.nature.com/articles/s41928-026-01569-5
#Benchmarking Reel by @msft_research (verified account) - Multimodal reasoning with Phi-4-reasoning-vision, new work on scaling LLM inference, benchmarking AI agents in network operations, cinematic video gen
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@msft_research
Multimodal reasoning with Phi-4-reasoning-vision, new work on scaling LLM inference, benchmarking AI agents in network operations, cinematic video generation, adaptive evaluation for LLMs, and using AI to improve individual and population health. https://msft.it/6175QiQkb
#Benchmarking Reel by @cloud_x_berry (verified account) - Follow @cloud_x_berry for more info #APIResponseTime #SystemDesign #BackendPerformance #WebArchitecture #NetworkingProtocols API performance compari
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@cloud_x_berry
Follow @cloud_x_berry for more info #APIResponseTime #SystemDesign #BackendPerformance #WebArchitecture #NetworkingProtocols API performance comparison, gRPC protocol, GraphQL API, REST API, WebSocket protocol, binary protocol, single endpoint API, HTTP caching, persistent connections, full HTTP request, latency optimization, network overhead, API throughput, real time communication, client server architecture, performance benchmarking, scalable APIs, backend optimization, protocol efficiency, user experience speed

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