Thomas Schumacher

95% of corporate #AI projects fail. As I recently discussed with Handelsblatt, the reason isn’t the technology itself, it’s leadership. Too often, companies focus on the latest technology but overlook the requirements that truly drive impact. Success with AI depends on avoiding three pitfalls: 1️⃣ Chaotic data: Without a clean and accessible foundation, even the best AI models fail. That’s why we’ve built secure cloud-based knowledge systems to power our teams’ work. 2️⃣ Too few AI drivers: AI transformation must start at the top and be enabled by experts. At #BCG in Central Europe, 200+ “AI Black Belts” help teams put AI to work in real contexts. 3️⃣ Ignoring fears: 40% of employees remain skeptical about AI at work. Leaders who acknowledge and address concerns build lasting trust. AI will reshape work. But it is not a question of technology. It's an essential part of the CEO agenda. Following this, success will come to those who embed it into the strategy and culture of the company. 🔗️ Read the full Handelsblatt article here (in German): https://lnkd.in/eW6KXdgj  #ArtificialIntelligence #GenAI #Leadership 

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For Dr. Ulrich Störk, Member of PwC Deutschland’s EMEA Executive Team leading Technology Alliances, the challenges behind AI adoption are real. Companies often expect immediate cost savings from generative AI, but without clean data, workforce readiness and leadership alignment, those gains remain elusive. AI success depends more on solid foundations than on flashy models. With technology evolving rapidly, planning must extend beyond today’s use cases to capture tomorrow’s opportunities. READ NOW: https://lnkd.in/gANepyPb

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Energized to present at SBOS Frankfurt 2025 on “Scaling AI in Banking: From Pilots to Impact.” A packed house, sharp questions, and a rich discussion reminded me just how pivotal this moment is for banking and financial services. We are at an inflection point: ·      AI and Generative AI are moving from pilots to enterprise-scale adoption. ·      Quantum Computing is on the horizon. ·      Technology-led reinvention is reshaping how banks deliver value, grow revenues, cut costs, manage risk, and reimagine operations. As productivity increases in every stage of the software development life cycle redefined by GenAI, the business model of the future comes into focus — one centered on customers, platforms, and ecosystems, with streamlined and optimized middle- and back-office operations. For banking leaders, three questions feel urgent: 1.    Are your strategies bold enough? 2.    Are you executing fast enough? 3.    Do you have the talent and partnerships to seize what’s next? The next 3–5 years promise extraordinary opportunities: better outcomes for clients, transformative growth for institutions, and exciting career paths for bankers. The future doesn’t just look bright — it’s arriving fast. 🌟 IBM Institute for Business Value Gemma Godfrey Paolo Sironi Robert Mercorella #GenerativeAI #ArtificialIntelligence #AIROI #FutureOfWork #BankingInnovation #DigitalTransformation #Leadership #FutureReady

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