203 articles on innovation, lean startup, and entrepreneurship
Most enterprise AI programs are failing — not because AI doesn't work, but because companies are treating a technology as a strategy. An AI innovation strategy means applying AI to accelerate your innovation methodology and measuring cost per experiment, not short-term ROI.
AI can improve ideation, validation, and support decision-making in the future. However, current implementations of AI within innovation teams can cause laziness and mediocrity. We are at risk of outsourcing our key differentiators as humans: creativity and empathy. If we let our mental muscles atrophy, our team and our AI models will overlook unconventional strategies that drive disruptive innovation. We will efficiently reinforce the status quo and stifle bold, forward-thinking decisions. Innovators should look to the future and integrate AI into innovation processes as a partner, but not at the expense of building our own skills. We should try out synthetic personas, but only in conjunction with our own validation interviews. We must learn how to spot and compensate for AI biases just as we should our own. We are spending billions of dollars to train the latest AI models. How much are you spending on training your team? For now, innovators still have an edge - but only if they invest in themselves as equal partners.
As we step into 2025, disruption feels like the new normal. But amidst the chaos, there’s progress, gratitude, and hope. A reflection on what’s ahead, what we’ve achieved, and an open invite to connect.
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We are living through a major revolution in AI technology. It’s not the invention that changes our lives, it’s the way the inventions are adapted to real use cases. AI is going to change our lives once it is harnessed to create new solutions and unlock new forms of value.
Make data-driven decisions with confidence using our updated Pivot or Persevere Template. Download now to evaluate projects effectively and join our Innovation Accounting Course to master the process.
Financial ROI and social ROI are complementary, not competitive. Innovation for the community requires participation from the community. Artificial intelligence will soon be considered part of the community rather than just a tool we use.
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Innovating during economic uncertainty in the 2024 Innov8rs Handbook
Innovation teams have relied on workshops and culture change to drive outcomes. But skill and mindset training alone won’t achieve results. We must drive data flow through the entire organization to realize the value of these methods: Drive strategy with qualitative insights using design thinking; lower the cost of innovation through lean startup and agile methods; increase your chances of success by using the lower costs to test more ideas; quantify your opportunity and odds of success through innovation accounting; adjust your strategy, allocate resources, and get to scale based on the odds of success and opportunity size.
Constraints have a funny way of focusing the mind. Artificial constraints can drive innovation in your organization. Today’s challenges are recruiting tomorrow’s innovators.
Drawing insights from unrelated industries can lead to unexpected breakthroughs, showcasing the power of a diversified approach to problem-solving. The ability to adapt and apply technologies across sectors is a hallmark of innovative companies that lead their industries. Strategic partnerships and interdisciplinary teams can unlock new possibilities, making collaboration a cornerstone of successful innovation.
