Drew Boyd

How often do you tell your consulting clients what they truly need to hear? In the latest episode of the Consulting Success® Podcast, Jeremiah Shirk and I discussed what to ask clients to secure repeat work, why you should embrace radical candor with your clients, and how to think about your legacy in relation to the business you're building. Check out the full podcast with Jeremiah at the link below: https://lnkd.in/gAB6B43W #leadership #managementconsulting #clients #consulting #consultant #consultingsuccess

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*Edited post* This week, Brian Evergreen, author of "Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence" and founder of The Future Solving Company, who was shortlisted for the 2023 Thinkers50 Breakthrough Idea Award, joins me on the Outthinkers Podcast. Building on his experiences working at Accenture, Amazon Web Services, and Microsoft, Brian advises and speaks to organizations around the world, guest lectures at Purdue University and the Northwestern University - Kellogg School of Management, sharing the unconventional and innovative methods and frameworks he developed leading and advising Digital Transformation initiatives at many of the world's most valuable companies. At the core of Brian’s ideas is that in this age of accelerated AI, there is not only room for—but a dire need for human reasoning to remain a core component of business strategy in what he calls “autonomous transformation,” which contrast with and complements what we all call digital transformation. In the episode, he shares: 🔵 The differences between transformation, reformation and creation — and when each is best employed given the presence of key criteria 🔵 His "reason-driven framework," which in contrast to data-driven frameworks, allow the space and opportunity for human experimentation, learning, and innovation 🔵 The critical difference between digital transformation (moving from analog to digital) and autonomous transformation, which encompasses systems that autonomously handle processes and make decisions, emphasizing that transformation should create value, not just imply digital changes Listen at the link in the comments below.

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Succession planning has evolved from a "should do" to a "must-do" and a "cannot wait." Retirements and economic changes are creating new urgency. Learn three succession scenarios that CEOs should consider in the coming years. #CEO #SuccessionPlanning #Succession https://shorturl.at/qPtAo

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Succession planning has evolved from a "should do" to a "must-do" and a "cannot wait." Retirements and economic changes are creating new urgency. Learn three succession scenarios that CEOs should consider in the coming years. #CEO #SuccessionPlanning #Succession

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Richard Bandler has been one of the people who has greatly influenced my thinking throughout my life. Owen Fitzpatrick has summarized some of Richard's great words of advice. This advice relates to frameworks and topics I've dealt with professionally, as well. #1. Creates luck. There's a large element of luck in every endeavor. You can't control opportunity, but by doing #1, you can make increase the chances of finding opportunity. #2. Has to do with choosing which problems to solve, and which solutions to address. Often in business, people frame the problem poorly, which leads to solutions that don't work. #3. Is a key component of "entrepreneurial thought and action," an approach to entrepreneurship I learned at Babson College, based on the effectuation work of Prof. Saras Sarasvathy. #4. No business lesson here. It's a great therapeutic lesson, though, and is 100% aligned with our current understanding of the neuroscience of memory. #5. No comment. I am -not- going to mention office politics. I am -not- going to mention any one of a number of business trends. I am not. I am not. I am not. Owen Fitzpatrick and Richard Bandler are the best.

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Longevity Escape Velocity? WOW! 🤯 I am reading Ray Kurzweil's new book, The Singularity Is Nearer: When We Merge with AI. For those who aren't familiar with him, Kurzweil is a well-known inventor and futurist with a history of accurate predictions. He accurately predicted computers beating human chess champions, the rise of the internet, and the spread of mobile technology. One of Kurzweil's fascinating predictions is "longevity escape velocity" (LEV). This means extending life expectancy faster than time passes. Imagine a future where each year you live adds more than a year to your lifespan! 😲 Kurzweil believes that by the early 2030s, advances in medicine could make this possible. Technologies like AI, biotechnology, and nanotechnology are revolutionizing healthcare, leading to longer and healthier lives. For instance: - AI is improving early disease detection and personalized treatment plans. - CRISPR gene editing fixes genetic disorders, potentially curing diseases at their source. - Personalized cancer vaccines, accelerated by COVID-19 vaccine development, train the immune system to target cancer cells specifically. The exponential growth of technology, known as the "Law of Accelerating Returns," means progress is happening faster than ever and will continue to accelerate. 📈 Just a few examples of this: - AI advancements: AI model power has been doubling approximately every 3.4 months. - Biotechnology: The cost of sequencing a human genome has dropped dramatically, making it more accessible. - Nanotechnology: Innovations enable targeted drug delivery and advanced diagnostics. If you don't think this would impact you and your organization, think again! 🤔 - Longer Lives: We could live much longer, healthier lives. - Better Health: Treatments for age-related diseases will improve. - Big Changes: Healthcare, retirement, and work will need to adapt. As we approach this future, we need to consider: - How will society handle much longer lifespans? - What ethical issues will come up? - How can we ensure everyone benefits from these advancements? ❓ What do you think about achieving longevity escape velocity? ❓ How should society prepare for such a significant change? ❓ How could this impact you and your organization? #partneringleadership #leadership Partnering Leadership #ai #aileadership Strategic Leadership Ventures #strategy #management #culture #collaboration #longevity #singularity

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🎙️ "Bringing Order from Chaos: Biblical Leadership Principles for Overcoming Organizational Turmoil" Please check out my recent interview on the StrongTeams.com with Rodney Cox. It was such a privilege to be a guest on your podcast. 🔗 Check this link for the full episode: https://bit.ly/3xviJx3 #Faithbasedbusiness, #LeadershipDevelopment #Management #KingdomImpact #LeadFirst

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WHAT IS AN OMNOLOGIST❓ An omnologist is a SCHOLAR or SCIENTIST who studies a wide range of subjects, aiming to INTEGRATE knowledge across multiple disciplines to gain a holistic understanding of complex systems and phenomena. Unlike specialists who focus deeply on a narrow field, omnologists seek to understand the interconnections and overarching principles that link different areas of knowledge. In practical terms, an omnologist may draw from fields such as PHYSICS, BIOLOGY, SOCIOLOGY, PHILOSOPHY, and more to address questions that require a broad, interdisciplinary approach. Galileo Galilei, (1564-1642) epitomizes the role of an omnologist, seamlessly blending his groundbreaking work. Such perspective is particularly valuable in tackling challenges like CLIMATE CHANGE, HEALTHCARE, and TECHNOLOGICAL INNOVATION, where solutions often require insights from multiple domains. Omnologists emphasize the synthesis of INFORMATION, the identification of PATTERNS and RELATIONSHIPS, and the application of INTEGRATIVE THINKING to solve complex problems. Their work often involves creating new frameworks and methodologies to bridge gaps between traditional academic disciplines, fostering a more connected and comprehensive view of the world. Studying the systems, history, and interrelationships of these common characteristics across disciplines, omnologists use ONTOLOGY to analyze how these methodologies have evolved and how they interact within and across different fields. They examine the evolution of SCIENTIFIC METHODS, quantitative and qualitative techniques, and THEORETICAL FRAMEWORKS, understanding how these methodologies have been adapted and refined over time. For instance, tracing the development of STATISTICAL METHODS from their origins in the social sciences to their application in genomics reveals how cross-disciplinary adoption leads to innovative practices. By analyzing the interactions between different methodologies and principles, omnologists create SYSTEMS MODELS that illustrate how components like EMPIRICAL EVIDENCE, CRITICAL THINKING, PEER REVIEW, and REPRODUCIBILITY interact. This helps identify leverage points for improving research quality and innovation. Studying specific examples of genuine innovations that have had lasting impacts, they identify key factors that contributed to their success. Conducting META-RESEARCH to study research practices themselves, omnologists identify best practices, common pitfalls, and opportunities for improvement across disciplines. Omnologists bring a unique interdisciplinary perspective that is crucial for tackling complex challenges, especially those involving advanced artificial and autonomous intelligence (AI) due to their ability to integrate knowledge from diverse fields. This encourages innovations both cutting-edge and ethical, providing exponential value to any organization looking to harness the power of AI responsibly and strategically. 〰️ #Omnologist 🌐 for #AI x #HI🔬#Omnology 🌍

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Staying Relevant in a Dynamic World: Updating Your Strategy Quarterly Zach Montroy (The Intention Collective) and Eric Saumure (Zenbooks) Find the full episode of Small Business | Big Insights Podcast at https://lnkd.in/edEfWUtM or with your podcast provider. #Shorts #smallbusiness #businesspodcast #podcast #canada

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Sometimes you have to experience the disruption firsthand, to recognize the potential in it. This has been what Michael Roberts has done for me in bringing my book AI to life. It is what he does for our clients' leaders as well. He turns thoughts, rather dreams, into reality. Listen this week as he explains how he did it, and who influenced his work in AI earlier in his career. #BeBrave #AI #Innovation

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What are the three levels of AI ethics training and why do organizations need them? If there’s one thing companies unwisely delay in rolling out their AI ethical risk program, it’s training. You can have all the policies, procedures, and metrics you want, but if your people don’t get the education and training they need, you can’ expect efficient or effective adoption. There’s a lot to say about what’s needed, but in this video, I break down training into: 1. Organization-specific but department/role/tool agnostic 2. Organization and department/role-specific but tool-agnostic 3. Organization, department, role, and tool-specific. (1) needs to be delivered at the time of launching the program. (2) and (3), however, can wait until later phases of the rollout. #ai #aiethics #ethics

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𝑱𝒐𝒃𝒔-𝒕𝒐-𝒃𝒆-𝑫𝒐𝒏𝒆 𝑬𝒏𝒕𝒉𝒖𝒔𝒊𝒂𝒔𝒕𝒔: The latest 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗤𝘂𝗲𝘀𝘁 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 episode is a MASTERCLASS in "Difficult Outcome Statements," featuring two of the world's best: Lance Bettencourt and Eric Eskey. This episode is titled "𝗣𝗮𝗿𝘁 𝟭: 𝗗𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁 𝗢𝘂𝘁𝗰𝗼𝗺𝗲 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀," and yes, that means there's a Part 2 to follow next week. By the way, our unofficial title for this episode is "𝑭𝒊𝒗𝒆 𝑮𝒖𝒚𝒔 𝑶𝒃𝒔𝒆𝒔𝒔𝒊𝒏𝒈 𝒂𝒃𝒐𝒖𝒕 𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆." 😄 Our topics for Part 1: 𝗖𝗛𝗔𝗟𝗟𝗘𝗡𝗚𝗜𝗡𝗚 𝗢𝗨𝗧𝗖𝗢𝗠𝗘 𝗦𝗧𝗔𝗧𝗘𝗠𝗘𝗡𝗧 𝗦𝗜𝗧𝗨𝗔𝗧𝗜𝗢𝗡𝗦: 1. Outcome statements regarding forces out of our control 2. When is it ok to mention a solution? 3. How can we know which outcome is best among many variations? 4. How does the nature of my business impact what's a "good" outcome? 5. Writing outcomes about an optimum time. 6. When can we violate the rules of outcome-gathering? 7. Are there times when we should create outcomes about minimizing cost? 8. How do we best handle outcomes about prediction? 9. Can we ever use the word "you" in an outcome? 10. How does one balance readability vs precision? 11. What's the best level of detail to provide in an outcome? 12. Can adaptive surveys solve some of these problems? OTHER: - How to avoid issues by a JTBD project with a partner. - How important of domain expertise? This episode is a resource for practitioners and JTBD thinkers of all levels. We discuss advanced topics that are not published anywhere, and therefore, this episode is destined to be a resource, just like a valued HBR article. ✅ JTBD THINKERS OF ALL LEVELS: Listen and provide your comments below. Where do you agree with our panel? Where do you have other opinions? ✅ 𝑺𝑻𝑨𝒀 𝑻𝑼𝑵𝑬𝑫 𝑭𝑶𝑹 𝑷𝑨𝑹𝑻 2, 𝑵𝑬𝑿𝑻 𝑾𝑬𝑬𝑲! Big thanks to my co-hosts, Yann Wermuth and Jonathan Edwards. I also need to salute Tony Ulwick, from whom we all learned so much on this topic. #innovation #productmanagement #marketing _____________________ 🐺 𝗛𝗶! 𝗜'𝗺 𝗦𝗰𝗼𝘁𝘁 ⚡️Energizing product teams with customer insight ⚡Providing training, project execution & advisory for leaders and product teams 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗮𝗯𝗼𝘂𝘁 #jobstobedone ? 🗿 Check out my book "𝐓𝐇𝐄 𝐒𝐓𝐀𝐓𝐔𝐄 𝐈𝐍 𝐓𝐇𝐄 𝐒𝐓𝐎𝐍𝐄" 𝗖𝘂𝗿𝗶𝗼𝘂𝘀 𝗵𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽? ☎️ Send me a message on LinkedIn 𝗪𝗮𝗻𝘁 𝘁𝗼 𝘀𝗲𝗲 𝗺𝗼𝗿𝗲 𝗼𝗳 𝗺𝘆 𝗽𝗼𝘀𝘁𝘀? 🤝 Connect with me 🔔 Ring the bell on my Profile Follow #productstuffbyScottB

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