
Manuel Geitz
Articles
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1 month ago |
forrester.com | Kim Herrington |Manuel Geitz |Brian Hopkins
Data and AI leaders need to be ready and able to articulate their value at all times. Back in my lifeguarding days, we had a drill where a supervisor would lob a red plastic ball into the water and we had mere seconds to snag it or face the music. Data and AI leaders are playing a similar game in enterprise boardrooms and offices.
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1 month ago |
forrester.com | Martin Gill |Manuel Geitz |Jay Pattisall
This blog was co-authored by Enza Iannopollo, Principal AnalystThe last couple of weeks has been a bonanza of public sector AI related news in the UK. Rather than summarize it here, you can check out myself and my colleague Enza’s blog here outlining the policy decisions, partnerships, lack of signing up to global accords and not-so-subtle departmental name changes that UK dot gov have embarked upon.
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1 month ago |
forrester.com | Manuel Geitz |Peter Wannemacher |Naveen Chhabra
Ever felt like your organization is a maze of disconnected teams, each working in its own bubble? You’re not alone. Many companies have tried to increase delivery speed with small, agile teams, but have ended up with a bunch of siloed squads instead of a cohesive unit. Enter the platform org structure—an increasingly popular option to break down silos and deliver scale.
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2 months ago |
forrester.com | Lisa Gately |Manuel Geitz |Gina Bhawalkar
When I talk to B2B leaders about their generative AI (genAI) adoption efforts, I hear a mix of frustration, FOMO, and skepticism. Many feel stuck. They’re unsure whether their organization is behind, and they suspect other leaders have cracked the code. They also field tough questions about the ROI of adoption efforts. But the conversation quickly shifts when they ask the most impactful questions: “What can we do with where we are today?
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2 months ago |
forrester.com | Manuel Geitz |Gina Bhawalkar |Enza Iannopollo
Picture an innovation team that continuously screens market trends, translates them into product designs, and assesses manufacturability and pricing scenarios – all in real-time. This is the promise of the AI-orchestrated, semi-autonomous innovation lifecycle. Generative AI (GenAI) is already reshaping the different stages of the innovation process by augmenting creative productivity.
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