Miguel Belo’s Post

Concrete.ai is one of the newest members of the Google for Startups AI Academy: American Infrastructure program. 🚀 This three-month program will enhance our AI-driven solutions for the concrete industry with support from Google’s People + AI Research (PAIR) team and AI leaders. We'll gain advanced sales skills, go-to-market strategies, mentorship, and access to cutting-edge Google AI tools. Stay tuned as we share our progress and insights over the next three months. hashtag #Google #AI #Concrete

Hey startup fam! If you're curious about AI ✨ , this is your chance to learn from the pros. Mark your calendars for May 16th - Gen AI for early stage startups. 👇 Google Cloud's AI experts are hosting a webinar on May 16th that's all about how Generative AI can take your startup to the next level. 🚀 This isn't your average tech talk – we're sharing the latest AI breakthroughs (straight from Google Cloud Next 2024!), how to find the perfect AI solutions for your startup, and even some practical tips on security and data. 🧠🔒 In this session, you'll gain insights on: x- The latest breakthroughs in generative AI technology, including announcements from Google Cloud Next 2024. x- How to identify and define winning generative AI use cases for your startup. x- Bringing your AI Workload into production for real-world impact. ️ x- Essential security best practices for responsible AI development. x- Transforming your data pipelines into powerful AI applications. Don't miss out! Register now: https://lnkd.in/dG5tv23T 

Google.org launched a $30 million #Generative AI Accelerator in 2024, supporting 21 organizations. In 2025, Google.org is launching a global open call for the second cohort. Selected organizations will receive technical training, Google #Cloudcredits, pro-bono support, and funding.

Leverage AWS's investment in generative AI startups by exploring partnership opportunities with the program or utilizing AWS credits for technological advancements.#AIstartups #AWSGenerativeAI #BusinessInnovation #TechInvestment #GlobalExpansion Learn more about this topic here: https://lnkd.in/e9bevsf6 At Grow Scale Win™, we're all about using AI to enhance productivity and efficiency. That's why we've built the AI Growth System™, a truly holistic approach to growing your business. You get a personalized growth strategy and a full suite of AI powered tools to generate leads, nurture prospects, and close sales. Learn more at www.growscalewin.com. DM us with any questions.

𝙃𝙚𝙡𝙡𝙤, 𝙚𝙫𝙚𝙧𝙮𝙤𝙣𝙚! 🌟 I am ecstatic to announce that I have submitted my innovative project, Explainable AI for Decision Transparency, in the Google Cloud presents AI for Impact APAC Hackathon, powered by @hack2skill. 🎉 🌟 The Problem We’re Solving, In the fast-evolving world of AI, many models function as "black boxes," delivering decisions without explanations. This lack of transparency creates distrust, especially in critical sectors like healthcare, finance, and legal systems. 💡 Our Vision My solution leverages Explainable AI (XAI) to ensure transparency, trust, and usability in AI-driven decisions. ✔️ Features: 𝘈𝘤𝘵𝘪𝘰𝘯𝘢𝘣𝘭𝘦 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘶𝘴𝘪𝘯𝘨 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵𝘢𝘣𝘭𝘦 𝘮𝘰𝘥𝘦𝘭𝘴 𝘭𝘪𝘬𝘦 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯 𝘵𝘳𝘦𝘦𝘴 𝘢𝘯𝘥 𝘳𝘶𝘭𝘦-𝘣𝘢𝘴𝘦𝘥 𝘴𝘺𝘴𝘵𝘦𝘮𝘴. 𝘗𝘰𝘴𝘵-𝘩𝘰𝘤 𝘦𝘹𝘱𝘭𝘢𝘯𝘢𝘵𝘪𝘰𝘯𝘴 𝘸𝘪𝘵𝘩 𝘵𝘰𝘰𝘭𝘴 𝘭𝘪𝘬𝘦 𝘓𝘐𝘔𝘌, 𝘚𝘏𝘈𝘗, 𝘢𝘯𝘥 𝘓𝘙𝘗 𝘧𝘰𝘳 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘯𝘦𝘶𝘳𝘢𝘭 𝘯𝘦𝘵𝘸𝘰𝘳𝘬𝘴. 𝘜𝘴𝘦𝘳-𝘧𝘳𝘪𝘦𝘯𝘥𝘭𝘺 𝘪𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦𝘴 𝘸𝘪𝘵𝘩 𝘷𝘪𝘴𝘶𝘢𝘭 𝘢𝘪𝘥𝘴 𝘢𝘯𝘥 𝘯𝘢𝘵𝘶𝘳𝘢𝘭 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘦𝘹𝘱𝘭𝘢𝘯𝘢𝘵𝘪𝘰𝘯𝘴 𝘷𝘪𝘢 𝘎𝘰𝘰𝘨𝘭𝘦’𝘴 𝘎𝘦𝘮𝘪𝘯𝘪. 𝘊𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘤𝘦 𝘸𝘪𝘵𝘩 𝘦𝘵𝘩𝘪𝘤𝘢𝘭 𝘢𝘯𝘥 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺 𝘴𝘵𝘢𝘯𝘥𝘢𝘳𝘥𝘴 𝘧𝘰𝘳 𝘧𝘢𝘪𝘳𝘯𝘦𝘴𝘴 𝘢𝘯𝘥 𝘵𝘳𝘢𝘯𝘴𝘱𝘢𝘳𝘦𝘯𝘤𝘺. 🏆 Impact: This innovation can empower users, policymakers, and organizations to trust AI systems, leading to better decision-making and broader AI adoption. 🎯 Technologies Used: Google Cloud tools: Vertex AI, Gemini, Gemma Data processing with Pandas, TensorFlow, and Keras Interactive UIs via React.js and D3.js What’s your take on this idea? 💬 Share your thoughts on how we can amplify its impact. Wish me luck as we await the shortlist announcement! 🌟 Let’s create AI solutions that people can trust. Together, we can make a difference! 💪 🌐 Follow the journey: Hack2skill Google Cloud #AIforImpact #Hack2skill #Hack2skillContest #GoogleCloud #ExplainableAI #TransparencyMatters #AIInnovation #Hackathon #MachineLearning #AIforGood #CloudComputing #FutureOfAI #EthicalAI #XAI #TechForGood #InnovationForImpact #AITransparency #ResponsibleAI #DigitalTransformation #DataScience #TechInnovation #ArtificialIntelligence #AIApplications #SmartSolutions #NextGenTech #Google #innovation, #management, #digitalmarketing, #technology, #creativity, #futurism, #startups, #marketing, #socialmedia, and #socialnetworking

At #AI companies, we're witnessing a significant trend: AI computing costs are now surpassing spending on human resources. When pitching your AI project to venture capitalists, one question comes up repeatedly: “𝐇𝐨𝐰 𝐦𝐮𝐜𝐡 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐬𝐩𝐞𝐧𝐝 𝐨𝐧 𝐎𝐩𝐞𝐧𝐀𝐈 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬?” This is a vital consideration. If your plan is to leverage OpenAI’s most advanced models (like GPT-4o or o1) and adopt a "𝐯𝐨𝐢𝐜𝐞-𝐟𝐢𝐫𝐬𝐭" approach with features like the real-time voice API, brace yourself for potentially high costs. OpenAI's pricing is solely dependent on the millions input and output tokens. No discount on volume. This leads to two key consequences: 1- Your total costs will rise in tandem with the success of your services. 2- Your Cost of Goods Sold (COGS) heavily relies on OpenAI’s pricing policies. As AI startups, our challenge is to deliver exceptional services that set us apart from the competition—𝘸𝘩𝘪𝘭𝘦 𝘮𝘪𝘯𝘪𝘮𝘪𝘻𝘪𝘯𝘨 𝘵𝘩𝘦 𝘯𝘶𝘮𝘣𝘦𝘳 𝘰𝘧 𝘵𝘰𝘬𝘦𝘯𝘴 𝘯𝘦𝘦𝘥𝘦𝘥, Surprisingly, we are not alone in this case! In 2023, Google is reported to have "invested heavily in computer power, particularly in building two million TPU 5 ASICs, each costing $12,500, amounting to a staggering $25 billion. When combined with other data center expenses, the total exceeds $30 billion."* in 2024, Microsoft is expected to invest $50Bn. 𝐁𝐨𝐭𝐡 𝐭𝐞𝐜𝐡 𝐠𝐢𝐚𝐧𝐭𝐬' 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐧𝐨𝐰 𝐬𝐮𝐫𝐩𝐚𝐬𝐬 𝐭𝐡𝐞𝐢𝐫 𝐡𝐮𝐦𝐚𝐧 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐜𝐨𝐬𝐭𝐬, 𝐦𝐚𝐫𝐤𝐢𝐧𝐠 𝐚 𝐩𝐢𝐯𝐨𝐭𝐚𝐥 𝐦𝐨𝐦𝐞𝐧𝐭 𝐢𝐧 𝐭𝐡𝐞 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲. *: https://lnkd.in/d4mG_F_C

In this brilliant article from The Wall Street Journal by Tom Dotan and Berber J. They explore the incredible strategy of Satya Nadella and his team at #microsoft on how he’s transformed the business to run like a startup and dominate the AI race.💥🚀 Bringing in the inimitable Mustafa Suleyman is a power move 🔋 Here’s the article: https://lnkd.in/dpp8qD8x #microsoft #openai #wsj

Are they now too big to fail? === On Tuesday, the Wall Street Journal reported that Anthropic, known for its AI chatbot called Claude, is in advanced talks to to raise another $2 billion in funding at a valuation of $60 billion, a round led by Lightspeed Ventures. Both Anthropic and OpenAI, which was valued at an even heftier $157 billion in its last funding round in October, are losing a lot of money. The cost of both training AI models and then running customer queries requires an enormous software and hardware investment, and then massive costs to either own or rent cloud-computing power. #AI #openai #anthropic #claude #chatgpt #microsoft #aws

Hello everybody! I have been reading some exciting news about AI development around the world, and recently, thanks to Google Developer Groups (GDG) I learned about this free digital course: 𝑺𝒕𝒂𝒓𝒕𝒖𝒑 𝑺𝒄𝒉𝒐𝒐𝒍: 𝑮𝒆𝒏 𝑨. It's a six-week course with the following themes at the moment: - Current state of Generative AI - Applications of Generative AI for your business - Exploring prompt engineering - Image generation, editing, custom styling and beyond - Deep dive into embeddings and vector databases - Code generation, completion, chat - Intro to RAG architectures including Vertex AI Search - Building enterprise chat apps using GenAI - Deploying and hosting apps in the cloud - Tuning & RLHF - Model Evaluation for GenAI - Application Development with Duet AI You can subscribe on the link below: https://lnkd.in/eFe_G9u3 #Google #AI #GenAI #Education #Startup

I’ve been working with structured-orchestrated engineered but open ended prompts with embedded context and analysis and creation frameworks and resources, and here’s what I found out: - You can significantly compound the gains by pipelining a draft, critique, rewrite flow - You can significantly improve performance by carrying and selectively incrementally building context - Giving the AI a degree of freedom and leaving those last instructions open ended and not just returning ‘not applicable’ will surprise you with ideas and products you can use/learn from. I’m using the AI orchestration system that I created to now start creating new systems, which I came to understand a few weeks ago was possible. A system of systems is like a dream come true. First system is a provisional patent system. Learning a lot about how to structure those. Still trying to get a hang of what makes for the optimal style, but the AI is teaching me. And it’s going to cost. Racked up 150 dollars in Azure o1-preview costs in 2.5 days. It’s okay, Microsoft for Startups is footing the bill. I’ve said it before: Learning to use AI/Building with AI, which is the same thing, costs a lot of money. But that cost is outweighed by the benefits. New products, new business opportunities, new skills…