Step Venture

🚀 Are you ready to pitch your startup idea and get honest, actionable feedback? Join us for the Founder Hotseat event, where aspiring entrepreneurs will pitch their ideas to a panel of experts for live feedback and scoring. It’s an honor to have Roberto Montandon as one of our main featured experts. Roberto is the founder of Step Venture, a venture capital company, that invests in early-stage startups in Italy—a market bursting with potential. With a history of launching and operating tech businesses, Roberto has since become an active angel investor, building a portfolio of over 50 companies, several of which have seen significant growth and successful exits. Whether you're pitching or just learning, this is a chance to see how the insights of experienced professionals shape startup ideas. 🗓️ Don’t forget to prepare your one-sentence pitch in advance at https://lnkd.in/e2W4zYU9. 🎟️ Register here: https://fi.co/e/353131 📅 Date: Nov 26, 2024 🕒 Time: 6:00 pm 📍 Location: Portolano Cavallo Office, Piazza Borromeo, 12, Milan, Italy

🚀 Ready to pitch your start-up idea to a panel of investors? It’s time to shine! 🌟 Practice makes perfect, and getting the right feedback is crucial for your entrepreneurial journey. Let’s turn your vision into reality! 💡✨ Delighted to have some great panelists in the jury including Emanuele Torlonia at Italian Angels for Growth, Roberto Montandon at Step Venture, Giancarlo Vergine at Over Ventures and Alberto Martellini at Funder Advisor! Thanks to Antonia Verna, Giulia Censori for being our sponsor for the event at Portolano Cavallo, the most innovative Italian law firm specialised in Digital Media, Technology, and Life Sciences/Healthcare innovation. #italianinnovationecosystem #founderhotseat

Interesting article on Vertical AI. We resonate with many of the points discussed: * Addressing High-Cost, Repetitive Tasks: Vertical AI applications have the potential to tackle high-cost, repetitive language-based tasks in sectors like legal, healthcare, and finance, which were previously beyond the reach of legacy vertical software. * Capturing New Markets: Vertical AI’s ability to capture new markets and tap into larger Total Addressable Markets (TAMs) presents a more significant market opportunity compared to legacy vertical SaaS. * Unlocking Niche Markets: Traditional software builders have often focused on the largest TAMs, neglecting niche categories. Vertical AI is unlocking these niche markets by significantly expanding the scope of value delivered through AI. * Building Moats: Startups addressing a vertical sector with AI should avoid merely creating “wrappers” around third-party models. There are numerous opportunities to build moats, either through the use of proprietary data or by developing a unique and innovative user experience. #AI #VerticalAI #Innovation #FutureOfAI https://lnkd.in/gw7D54u6

Interesting article on Vertical AI. We resonate with many of the points discussed: * Addressing High-Cost, Repetitive Tasks: Vertical AI applications have the potential to tackle high-cost, repetitive language-based tasks in sectors like legal, healthcare, and finance, which were previously beyond the reach of legacy vertical software. * Capturing New Markets: Vertical AI’s ability to capture new markets and tap into larger Total Addressable Markets (TAMs) presents a more significant market opportunity compared to legacy vertical SaaS. * Unlocking Niche Markets: Traditional software builders have often focused on the largest TAMs, neglecting niche categories. Vertical AI is unlocking these niche markets by significantly expanding the scope of value delivered through AI. * Building Moats: Startups addressing a vertical sector with AI should avoid merely creating “wrappers” around third-party models. There are numerous opportunities to build moats, either through the use of proprietary data or by developing a unique and innovative user experience. #AI #VerticalAI #Innovation #FutureOfAI https://lnkd.in/gw7D54u6

Interesting article on Vertical AI. We resonate with many of the points discussed: * Addressing High-Cost, Repetitive Tasks: Vertical AI applications have the potential to tackle high-cost, repetitive language-based tasks in sectors like legal, healthcare, and finance, which were previously beyond the reach of legacy vertical software. * Capturing New Markets: Vertical AI’s ability to capture new markets and tap into larger Total Addressable Markets (TAMs) presents a more significant market opportunity compared to legacy vertical SaaS. * Unlocking Niche Markets: Traditional software builders have often focused on the largest TAMs, neglecting niche categories. Vertical AI is unlocking these niche markets by significantly expanding the scope of value delivered through AI. * Building Moats: Startups addressing a vertical sector with AI should avoid merely creating “wrappers” around third-party models. There are numerous opportunities to build moats, either through the use of proprietary data or by developing a unique and innovative user experience. #AI #VerticalAI #Innovation #FutureOfAI https://lnkd.in/gw7D54u6

#AI #Regulation #US E’ stata approvata una nuova regolamentazione in California sull'Intelligenza Artificiale, contrarie aziende del settore es: OpenAI Sono definiti “Covered model” quei modelli AI che sono: Addestrati utilizzando una quantità di potenza di calcolo superiore a 10^26 operazioni intere o in virgola mobile, il cui costo supera i 100 milioni di dollari. Prima che un'azienda possa iniziare a creare un “Covered Model”, il disegno di legge richiede che gli sviluppatori di AI pubblichino come l'azienda testerà la probabilità che il modello causi danni critici e le condizioni sotto le quali il modello possa essere completamente spento. Quello che si vuole evitare è che l’applicazione AI possa causare danni sopratutto lato cybersecurity o possa prendere il controllo di infrastrutture critiche come, per esempio, quella elettrica. https://lnkd.in/gY_Ft8bK

Douglas Leone's suggestions to Italian founders Italian Tech Week. - Don't solve an Italian problem, but at least a European problem - Founders must be outliers. Crazy, obsessed is good - Startup ideas don't come in a vacuum, but by feeling a pain and feeling the urge of solving it - Network with people outside of Italy - The best founders burn their ships and don't have a safety net

Early-stage entrepreneurs: I'll be speaking at the 'Startup Funding in Italy, feat Step Venture, Opstart & More' event. Hope to see you there: https://FI.co/e/353148

Abbiamo ascoltato una interessante intervista a Robert F. Smith, fondatore di Vista Equity Partners, uno dei maggiori investitori nel mondo del Software B2B. Alcune osservazioni interessanti: - Il 97% delle aziende software nel mondo sono aziende private. Investire nella crescita del settore può avvenire solo attraverso fondi chiusi. - Nelle società del portafoglio Vista l'implementazione di tool AI a supporto degli sviluppatori produce miglioramenti di efficienza tra il 10% e il 40%. Questo miglioramento di efficienza aiuta a gestire la cronica carenza di sviluppatori nelle aziende. - Le aziende dispongono di dati proprietari, che vogliono manterere privati. Per questo motivo vorranno creare LLM privati che possano accedere a questi dati. Si creeranno anche LLM con training settoriali che saranno utilizzati dalle aziende di un intero settore. - Allo stesso modo, tutte le Nazioni avranno la necessità di sviluppare LLM proprietari per questioni di interesse nazionale e per poter gestire dati che richiedono un accesso controllato (sanità, difesa, ecc.).

Abbiamo ascoltato una interessante intervista a Robert F. Smith, fondatore di Vista Equity Partners, uno dei maggiori investitori nel mondo del Software B2B. Alcune osservazioni interessanti: - Il 97% delle aziende software nel mondo sono aziende private. Investire nella crescita del settore può avvenire solo attraverso fondi chiusi. - Nelle società del portafoglio Vista l'implementazione di tool AI a supporto degli sviluppatori produce miglioramenti di efficienza tra il 10% e il 40%. Questo miglioramento di efficienza aiuta a gestire la cronica carenza di sviluppatori nelle aziende. - Le aziende dispongono di dati proprietari, che vogliono manterere privati. Per questo motivo vorranno creare LLM privati che possano accedere a questi dati. Si creeranno anche LLM con training settoriali che saranno utilizzati dalle aziende di un intero settore. - Allo stesso modo, tutte le Nazioni avranno la necessità di sviluppare LLM proprietari per questioni di interesse nazionale e per poter gestire dati che richiedono un accesso controllato (sanità, difesa, ecc.).