Managing Director Michael Kumin recently attended the Jefferies Private Internet Conference and spoke with Cameron Lester, Global Co-Head of TMT Banking, to discuss the transformative power of artificial intelligence in growth investing for private equity. Michael highlighted Great Hill’s forward-thinking mindset and rigorous diligence process as key factors to harnessing AI's potential, seeking to ensure our portfolio is future-ready and primed for exceptional growth. Read (and watch) more here: https://lnkd.in/e4ScXT7t
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⏳Critical dates and indexes in our industry are like sharks circling finance professionals, challenging them to either sink or swim faster to avoid pain! 🏊♀️ Is it time for a AI Tech to takeover? The MSCI (Morgan Stanley Capital Index) rebalance highlights the rising significance of AI in the Financial Services industry. #finance #AI #innovation
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🌐 20 Years of Digital Transformation in Finance: Lessons Learned 💡 Reflecting on two decades of digitization, this article by Leda Glyptis PhD offers a deep dive into how far the financial industry has come—and the challenges ahead. From overcoming early fears of disruption to embracing creativity and innovation, the journey continues with new complexities. 🚀 Check out the full article for insights on what's next in finance's digital evolution 👉 https://lnkd.in/eqThW_TD #DigitalTransformation #FinTech #Finance #Innovation #AI #Tech
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While the dangers of the 'AI black box' are widely recognized, do all AI models need to be explainable? In this session, Awais Sher Bajwa, Head of Data & AI Investment Banking at Bank of America will explore when explainability is crucial and how companies are ensuring the quality, accuracy, and fairness of model outputs even when the model itself isn't fully transparent. Join the conversation at the North America Emerging Tech Summit on October 3rd → bit.ly/49ufUKp #GenAI #AIStrategy #AIFuture #AIInnovation
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#Banks face rising competition by #FinTech’s, working hard to keep up with #AI and at the same time struggle with cumbersome processes and complex legacy IT systems. How can they address these challenges? Discover in our latest article: ✅ The advantages of simplifying products, processes and the organization itself, ✅ ways to overcome resistance to change, ✅ proven strategies to create momentum for simplification. 💡Gain actionable insights to stay ahead in the fast-evolving #BankingIndustry: ➡️ https://lnkd.in/dr2fyG-y #RolandBerger Dr. Viktoria Danzer
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Join us for this webinar by CISI (Chartered Institute For Securities & Investment) which we feel will be very beneficial to our members, as an introduction to the world of AI. Click here to register https://lnkd.in/gRBzSJcG
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A quick reminder that at 11am this morning we'll be joined by guests Daniel Taylor (Head of Development, Trading Labs) and Simon Rohrer (Head of Enterprise Technology Architecture, Saxo Bank), as we deep dive into the reality behind gen AI in the Financial Services sector. • The reality behind AI implementation pressures and challenges. • Insights into AI-driven innovation and ethical practices. • Laying technical foundations and upskilling people. • The role of data inside organisations. https://lnkd.in/dpkR3vjA #FinancialServices #TechnologyLeaders #GenerativeAI
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In our latest Strategic Partners Perspective, State Street thought leaders Mostapha Tahiri & Brian Franz bring forth a comprehensive examination of the transformative possibilities that #data presents in the era of #AI for institutional #investors around the globe. Read and download the report: https://lnkd.in/dHBszA67 #Investment #Trade #Finance #MachineLearning #GenerativeAi
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#AI financial crises: The rapid adoption of #ArtificialIntelligence is transforming the financial industry
AI financial crises
cepr.org
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How Wall Street is preparing to cash in on AI hysteria; analysis: delivering on AI's promise will require $1T+ for data centers, electricity, and comms networks — Finance's biggest names are ready to gatecrash the artificial-intelligence party.
Wall Street's Elites Are Piling Into a Massive AI Gamble
bloomberg.com
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In some ways, the parallels between today’s AI enthusiasm and the top of the TMT bubble in 2000 are accurate – the narrowness of the market, the elevated cross-sectional volatility, and the concentration of capitalization in a few issues all look similar to the 2000 top. But we believe there is less to fear in today’s market – ultimately, whether today’s mega-caps turn out to be great or less-than-great investments will be a result of the evolution of their fundamentals and the consequent impact on their valuation multiples. Read our latest insights: https://bit.ly/4fuxph7
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Thank you for sharing! Great insights!