🚀 Why Haven't Your AI Pilots Scaled Yet? 🚀 CIOs, let’s cut to the chase. If your AI pilots aren’t delivering, here’s why tackling these seven hard truths from McKinsey’s latest article can make all the difference: 1. Why Set Real Goals: Achievable targets build trust and lead to actual success, not broken promises. 2. Why Data is Key: Quality data fuels effective AI, leading to better insights and smarter decisions. 3. Why Build the Right Team: Combining AI experts with industry specialists ensures solutions that truly fit your needs. 4. Why Governance Matters: Ethical AI practices protect your reputation and ensure long-term success. 5. Why Seamless Integration: Well-integrated AI enhances your current systems, making your business more efficient. 6. Why Iterate Often: Regular updates and improvements keep your AI aligned with evolving business goals. 7. Why Drive Adoption: Clear communication and training help your team embrace AI, maximizing its impact. By focusing on these truths, you turn AI challenges into powerful success stories. It’s not the how and what that matters, it’s the why. 🌐 Read more: https://lnkd.in/gTSqpZVp #AITransformation #CIOs #GenerativeAI #AIstrategy #WhyofAI
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🚀 Scaling Generative AI: Post 2 of 3 🚀 LLMs are not only expensive to develop but also to operate, with hidden costs lurking in areas such as energy consumption and infrastructure maintenance. Since models are just 15% of the overall cost of GenAI applications, McKinsey & Company recommends identifying where the hidden costs lurk and applying the right tools to control them. Trustwise provides a single API that addresses these challenges by dramatically cutting AI costs and reducing environmental impact. Through operationalizing effective cost management and strategic infrastructure planning, Trustwise ensures that organizations’ GenAI initiatives are not only cost-effective but also sustainable. https://lnkd.in/dSEY6CdC #AI #generativeAI #GenAI #TrustworthyAI #SustainableAI #McKinsey #ScalingAISeries
Moving past gen AI’s honeymoon phase: Seven hard truths for CIOs to get from pilot to scale
mckinsey.com
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Mastering generative AI: it's not just about using it, but using it effectively. Look for business value, focus on key challenges, and invest in talent and quality. The right approach is key to success. #GenerativeAI #AutonomousFinance #LLMs
Gen AI looks easy. That’s what makes it so hard
fortune.com
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Mastering generative AI: it's not just about using it, but using it effectively. Look for business value, focus on key challenges, and invest in talent and quality. The right approach is key to success. #GenerativeAI #AutonomousFinance #LLMs
Gen AI looks easy. That’s what makes it so hard
fortune.com
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Mastering generative AI: it's not just about using it, but using it effectively. Look for business value, focus on key challenges, and invest in talent and quality. The right approach is key to success. #GenerativeAI #AutonomousFinance #LLMs
Gen AI looks easy. That’s what makes it so hard
fortune.com
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Mastering generative AI: it's not just about using it, but using it effectively. Look for business value, focus on key challenges, and invest in talent and quality. The right approach is key to success. #GenerativeAI #AutonomousFinance #LLMs
Gen AI looks easy. That’s what makes it so hard
fortune.com
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Mastering generative AI: it's not just about using it, but using it effectively. Look for business value, focus on key challenges, and invest in talent and quality. The right approach is key to success. #GenerativeAI #AutonomousFinance #LLMs
Gen AI looks easy. That’s what makes it so hard
fortune.com
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Mastering generative AI: it's not just about using it, but using it effectively. Look for business value, focus on key challenges, and invest in talent and quality. The right approach is key to success. #GenerativeAI #AutonomousFinance #LLMs
Gen AI looks easy. That’s what makes it so hard
fortune.com
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Is the honeymoon phase of generative AI over? CIOs must now face the challenge of scaling from pilot to production. McKinsey outlines seven crucial truths: focus on impactful projects, manage costs, integrate key components, simplify tools, build expert teams, manage data effectively, and reuse code. These strategies are essential to harness AI's full potential, driving transformation and innovation. Will embracing these principles ensures that AI becomes a core component of business strategy rather than an experimental technology? #GenerativeAI #CIO #DigitalTransformation #TechInnovation #AIatScale #McKinseyInsights #AIIntegration #DataManagement #BusinessValue #AILeadership Learn more: https://ow.ly/UBS650S6CQv
Moving past gen AI’s honeymoon phase: Seven hard truths for CIOs to get from pilot to scale
mckinsey.com
-
Is the honeymoon phase of generative AI over? CIOs must now face the challenge of scaling from pilot to production. McKinsey outlines seven crucial truths: focus on impactful projects, manage costs, integrate key components, simplify tools, build expert teams, manage data effectively, and reuse code. These strategies are essential to harness AI's full potential, driving transformation and innovation. Will embracing these principles ensures that AI becomes a core component of business strategy rather than an experimental technology? #GenerativeAI #CIO #DigitalTransformation #TechInnovation #AIatScale #McKinseyInsights #AIIntegration #DataManagement #BusinessValue #AILeadership Learn more: https://ow.ly/UBS650S6CQv
Moving past gen AI’s honeymoon phase: Seven hard truths for CIOs to get from pilot to scale
mckinsey.com
