“Innovation starts when you accept an idea might be wrong.” Want to hear more on this idea from Timothy Gardner (Cambium)? We’ll be exploring this topic, and so many more, IN-PERSON at the JMP Discovery Seminar next month. Join us to learn practical tips and tricks, best practices, and strategies to effectively implement designed experiments in your day-to-day work. If you weren't able to join us for #JMPDiscoverySummit last week, this will be a great chance to gain some of the same insights and networking opportunities, on a smaller scale. Key takeaways: ❇️ Maximizing learning from data and, in turn, plugging your insights into faster innovation. ❇️ Implementing approaches to DOE that promote better decision making, whether you’re just getting started or are conducting advanced experimentation. ❇️ Achieving faster, more predictable cycles while saving valuable time and resources. 🔗 Learn more and register today at go.jmp/BayArea!
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So looking forward to this Discovery Seminar! Timothy Gardner has so many amazing stories to share about scaling science to meet more of today's challenges (and there are many!). If you want your science and engineering efforts to have greater impact, please join us!
“Innovation starts when you accept an idea might be wrong.” Want to hear more on this idea from Timothy Gardner (Cambium)? We’ll be exploring this topic, and so many more, IN-PERSON at the JMP Discovery Seminar next month. Join us to learn practical tips and tricks, best practices, and strategies to effectively implement designed experiments in your day-to-day work. If you weren't able to join us for #JMPDiscoverySummit last week, this will be a great chance to gain some of the same insights and networking opportunities, on a smaller scale. Key takeaways: ❇️ Maximizing learning from data and, in turn, plugging your insights into faster innovation. ❇️ Implementing approaches to DOE that promote better decision making, whether you’re just getting started or are conducting advanced experimentation. ❇️ Achieving faster, more predictable cycles while saving valuable time and resources. 🔗 Learn more and register today at go.jmp/BayArea!
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Hello! “Don’t analyse” we often hear “You will never innovate anything that way” But the surprising truth is that a lot of ingenious thinking comes from structure. Says MIT Professor Steven Eppinger: "You just have to get comfortable overlaying a little structure, a little process, over your creative activities" Author Stephen M Shapiro calls it the “left brained approach to innovation” MIT Research shows that being somewhat prescriptive in how you go about innovation can be valuable. Formalizing space and time for innovation, actually introduces an analytical thought process that speeds up generation of creative ideas. ‘Sprints’ and ‘hackathons’ are good real life examples of how structure and analysis tend to yield a copious output of new innovative ideas Using Analytical Thinking for Innovation is therefore a high value cognitive skill that’s worth acquiring Here’s a 45 minute webcast you can sign up to learn the essentials of Analytical Thinking for Innovation on Jan 28, 2025 (Tuesday) from 4.15 pm to 05.00 pm. The only investment is your time! Registrations open shortly! Stay tuned.. Happy innovating! #innovation #analytics #cognition #cognitiveskills #sales #humanresources #salesmanagement #learninganddevelopment
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The icon of management thought, Peter Drucker, suggested that innovation starts with an analysis of opportunity sources. Analytical thinking is what turns innovative ideas into reality by bringing rigor and structure to the innovation process #Innovation #AnalyticalSkills #b2bsales #salestraining #wearehiring #businessdevelopment
Hello! “Don’t analyse” we often hear “You will never innovate anything that way” But the surprising truth is that a lot of ingenious thinking comes from structure. Says MIT Professor Steven Eppinger: "You just have to get comfortable overlaying a little structure, a little process, over your creative activities" Author Stephen M Shapiro calls it the “left brained approach to innovation” MIT Research shows that being somewhat prescriptive in how you go about innovation can be valuable. Formalizing space and time for innovation, actually introduces an analytical thought process that speeds up generation of creative ideas. ‘Sprints’ and ‘hackathons’ are good real life examples of how structure and analysis tend to yield a copious output of new innovative ideas Using Analytical Thinking for Innovation is therefore a high value cognitive skill that’s worth acquiring Here’s a 45 minute webcast you can sign up to learn the essentials of Analytical Thinking for Innovation on Jan 28, 2025 (Tuesday) from 4.15 pm to 05.00 pm. The only investment is your time! Registrations open shortly! Stay tuned.. Happy innovating! #innovation #analytics #cognition #cognitiveskills #sales #humanresources #salesmanagement #learninganddevelopment
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Based on the latest scientific research, Columinity is a pioneering tool to help teams improve where it matters most. It’s your evidence-based companion for continuous improvement. It highlights performance patterns on multiple levels and illuminates how to move forward. This article describes an alternative for step #4 and uses the Liberating Structure “What, So What, Now What?” to inspect the results and identify improvements. “What, So What, Now What?” helps us reconsider what is happening. It structures our thinking by breaking our experience into three steps: 🤔 “What do we notice?” 🤔 “So, what does this mean?” 🤔 “Now, where do we go from here?” It takes inspiration from the Ladder of Inference by Chris Argyris, an expert on learning in organizations. By doing this with other team members (and ideally also stakeholders and supporters), you are encouraged to discover the gaps in your understanding by learning from various perspectives. Being a relatively simple structure, you can quickly adapt it to suit the situation’s needs. And the more you do it, the more natural this structured approach to sense-making becomes. Consider using a Liberating Structure for each round, like “1–2–4-ALL”. Exploring the various parts of “What, So What, Now What” is simple and sufficient. It can lead to interesting conversations, insights, and tangible next steps. Learn more here: https://bit.ly/49ynTWB
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🚀 5 Ways to Use Industry as Your Best Lab Want to supercharge your research or innovation efforts? Here are 5 actionable insights from our latest article: 1️⃣ Ask Better Questions: Real-world challenges highlight gaps in theory, driving more fundamental questions. 2️⃣ Leverage Industrial-Scale Data: Access to real-world data uncovers patterns you’d miss in a traditional lab. 3️⃣ Accelerate Feedback Loops: Test hypotheses faster by collaborating with industry resources. 4️⃣ Bridge Knowledge Gaps: Practical challenges inform research while academic rigor solves real problems. 5️⃣ Unlock New Resources: Partnerships with industry provide data, materials, and facilities you wouldn’t otherwise have. 💡 Want to see how Nobel winners and innovators like Bob Langer use these strategies? See link in the comments #Innovation #ResearchCollaboration #Breakthroughs
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Driving Brand Awareness at OMP | Marketing Coordinator in Supply Chain Planning | Email Marketing Optimization, Community Management, Event Organization
🌐 Looking to make your global supply chain more resilient? Try 𝗼𝘂𝘁𝘀𝗶𝗱𝗲-𝗶𝗻 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴. It helps overcome supply chain challenges like demand latency and the bullwhip effect. In our research at 𝘁𝗵𝗲 𝗦𝗽𝗮𝗿𝗸 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲, we confirmed the value of outside-in planning using data from Fortune 500 customers. Sounds promising, right? But where do you begin? 👉 Check out our e-book for case studies and tips to get started in your business. #supplychain #innovation #datascience | OMP
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🌐 Looking to make your global supply chain more resilient? Try 𝗼𝘂𝘁𝘀𝗶𝗱𝗲-𝗶𝗻 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴. It helps overcome supply chain challenges like demand latency and the bullwhip effect. In our research at 𝘁𝗵𝗲 𝗦𝗽𝗮𝗿𝗸 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲, we confirmed the value of outside-in planning using data from Fortune 500 customers. Sounds promising, right? But where do you begin? 👉 Check out our e-book for case studies and tips to get started in your business. #supplychain #innovation #datascience | OMP
✨ Explore the Spark Initiative's final report
forwrd.it
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🚀 5 Ways to Use Industry as Your Best Lab Want to supercharge your research or innovation efforts? Here are 5 actionable insights from our latest article: 1️⃣ Ask Better Questions: Real-world challenges highlight gaps in theory, driving more fundamental questions. 2️⃣ Leverage Industrial-Scale Data: Access to real-world data uncovers patterns you’d miss in a traditional lab. 3️⃣ Accelerate Feedback Loops: Test hypotheses faster by collaborating with industry resources. 4️⃣ Bridge Knowledge Gaps: Practical challenges inform research while academic rigor solves real problems. 5️⃣ Unlock New Resources: Partnerships with industry provide data, materials, and facilities you wouldn’t otherwise have. 💡 Want to see how Nobel winners and innovators like Bob Langer use these strategies? See link in the comments #Innovation #ResearchCollaboration #Breakthroughs
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Eureka – The Origin Story of Perceived Firm Innovativeness This is the start of a new SERVSIG series. Every researcher can recall a moment when an idea for an important research project was born. In this first article, Werner Kunz tells the origin story of the Perceived Firm Innovativeness Scale, which has received a lot of attention in recent years. Read it here: https://buff.ly/4aAv4O8
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