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Nuno Belo
Product Manager @Shilling | Building AI-Driven & No-Code Solutions | Ex Microsoft | Fintech Founder
Nuno Belo is a tech and AI enthusiast with a background in product management, no-code development, and customer support.
He has worked at Microsoft, Shilling VC, and FundWiser, gaining experience in innovative tech solutions and AI applications.
At Shilling, Nuno developed AI-driven deal flow processes, streamlining opportunity evaluation.
His time at Microsoft involved providing expert technical support for Azure services to Fortune 500 customers.
Co-founding FundWiser aimed at democratizing alternative investments and earned recognition in the fintech industry.
Nuno's education includes studies in information management, product management, entrepreneurship, and business administration at various institutions.
He has held roles such as Product Manager, Mentor, Technical Support Engineer, Co-Founder, and Brand Ambassador at diverse organizations.
Nuno Belo enjoys exploring AI automation, smart-home improvements, playing tennis, and connecting with fellow tech enthusiasts.
Highlights
Ever wondered how to truly stand out in an investor's flooded inbox?
I'm excited to facilitate our next Shilling Session, where Chrysanthos Chrysanthou, a seasoned partner at Kindred Capital VC and previous investor at renowned firms like Notion Capital and Accel Partners, will be sharing his insights on making impactful connections between founders and investors.
📆 Mark the date: Tuesday, November 7th ⏰ Set your clocks: 6:00 PM - 7:00 PM (GMT) 🔗 Secure your spot: https://lnkd.in/d5QT87Ut
Here's what you can expect:
- Crafting an effective pitch deck.
- Crafting narratives that captivate both minds and souls.
- Turning challenging meetings into opportunities.
- And crucially, qualifying the right partnership for both sides of the table.
See you there! 🙌
P.S. Feel free to drop a question in the comments. We'll try to address as many as possible during the session.
🚀 Fresh from completing the Product Management in the AI Era summer course from Stanford University with the insightful Professor Adnan Boz at the helm.
Curious about how Silicon Valley's tech giants approach product development? Here's what I took away, and maybe it'll spark your interest in the course too and develop your own AI project:
📚 Product Development Lifecycle: The course provided a structured overview of the AI product development lifecycle, from design sprints to release. Geoffrey A. Moore's book on the Product Development Lifecycle in different organizations is a good recommendation.
🧠 Domain Expertise & Learning Algorithms: Gaining domain expertise is crucial. Is important you research the learning algorithms available and how they can be leveraged in product development.
🔄 Agile AI Product Lifecycle: We delved into the nuances that differentiate AI projects from non-AI ones. Starting with design sprints in AI projects is pivotal. For those interested in design sprints, the book "Sprint" by Jake Knapp, developed at Google Ventures is really good. Talks about the five-day process for designing, prototyping, and testing ideas. Guide to Sprints from Google Ventures: https://www.gv.com/sprint/
💡 Disruptive Creation with Generative AI: It's essential to discern if your AI project is a disruptive creation. The book "Beyond Disruption" sheds more light on this.
🔍 AI Requirement Analysis Framework: Is important to evaluate the value addition of specific features from both the customer's perspective company's benefit, time it takes to market, among others. Making a scoring system out of this.
🔧 AI Solution Research & Building: This phase is about diving deep into the problem, understanding the data, and researching potential AI solutions. Experiment!. Building a solution requires iterative testing and refining based on feedback.
🛡️ Awareness of AI Risks: As we venture into building AI solutions, it's important to be aware of the risks associated with AI, such as safety, security, and privacy. Making sure these aspects are addressed proactively can prevent issues down the line.
Sharing these insights is by no means a comprehensive summary of the course but rather a glimpse into the depth of topics covered. For anyone keen on diving into the world of AI product management, recommend you to check it out.
#productdevelopment #productmanagement #ai #artificialintelligence #productlifecycle #aisolutions
