Nevin Dannehy’s Post

The Future of Work is Human AI and automation are reshaping the business landscape, with talk of the future of work, everywhere. But amidst the technological advancements and the mass uncertainty about humans, work and jobs one thing remains: the crucial importance of those skills that make us human. The key takeaway for me: Your unique human strengths are your greatest assets. Focus on developing them in yourself and your teams and partnering with technology to create a future of work that leverages the best of both. Empathy and Emotional Intelligence: Understanding and navigating the complexity of human emotions, building trust, navigating social dynamics and corporate politics are inherently human skills that AI struggles to replicate. Collaboration: Humans are adept at building relationships, resolving conflicts and fostering effective communication. The skills that are essential for successful teamwork. Creativity and Innovation: Machines excel at following instructions and executing tasks but struggle with abstract thinking, generating novel ideas and adapting to unforeseen circumstances. As humans we excel at these. Adaptability and Continuous Learning: We can cultivate a growth mindset, actively seek out new knowledge and experiences and be open to change. We can embrace lifelong learning and see challenges as opportunities for growth.   The technologies available and emerging can support us to be even better at these things, to continue to develop and enhance our own human USP. #futureofwork #leadership #humanpotential #dataanalytics #retail #consultingservices #workforcedevelopment #automation #humanskills #futureisnow

Re: Future of Work I believe we will soon see a shift away from job titles and specific skillsets towards a focus on the outcomes and impact that individuals can deliver. “Design is the act of intentionally trying to influence an outcome. But to really design something well, you have to grok at what it’s about. You need to spend focused time on getting it.” — Julie Zhuo Previously, titles like "programmer," "product manager," and "designer" carried weight by signifying mastery of key skills. However, as AI proliferates, it will enable more people to readily obtain those baseline abilities. AI tools may allow: - non-coders to build apps - guiding novice PMs - empowering anyone to create quality visuals While some may find this concerning, it presents opportunities to reorient ourselves as professionals. With more people equipped with core competencies, emphasis will shift from titles to goals achieved. Success will be measured by delivering standout products, experiences, and business results - not writing code or creating mockups. This places greater weight on: - soft skills - creative thinking - impact With AI assisting on execution, the differentiators will be envisioning innovative solutions, leading strategically, and driving change. AI is unlikely to replace roles but will elevate new human abilities. By focusing less on titles and more on outcomes, professionals can thrive in this landscape. How will you embrace this shift and focus on the outcomes that matter most?

(Don't Miss these details about prompt engineering) Elevate Your Career with the Power of Prompt Engineering! In our series on Prompt Engineering, we've covered what it is and how it works. Now, let's talk about how mastering this skill can revolutionize your professional life. 🌟 The Motivational Insight Prompt Engineering is a game-changer. Those who master it can unlock doors to new opportunities, streamline workflows, and inspire groundbreaking solutions—all through the power of precisely engineered prompts. 💼 Why You Should Start Today Stay Ahead of the Curve: The future belongs to those who adapt and grow with technology. By mastering Prompt Engineering, you're not just staying ahead; you're setting the pace. Cross-Industry Applications: Whether you're in tech, marketing, education, or any other field, the ability to communicate effectively with AI will be a game-changer. Innovation and Creativity: Drive innovation in your projects by leveraging AI to its fullest potential, opening up new avenues for creativity and problem-solving. 🔥 Ready to Transform Your AI Interactions? Dive into the world of Prompt Engineering and witness firsthand how this powerful skill can revolutionize your professional life. The future is here, and it’s driven by those who can command the conversation with AI. Don’t get left behind—embrace this skill and lead the way! #PromptEngineering #AI #Innovation #FutureOfWork #TechRevolution #CareerGrowth #AIExpertise Keep pushing the boundaries, and remember, the power of the future is in the prompts we craft today. 🚀

The Future of Work: Automation and the Human Touch As a management student, I'm constantly bombarded with articles about robots taking over our jobs. It's a scary thought, but here's the thing: I don't think it has to be all doom and gloom. Sure, automation is going to change the way we work – factory robots are already assembling cars with terrifying efficiency, and chatbots are handling customer service inquiries. But let's face it, these tasks are repetitive and don't exactly require Shakespearean levels of creativity. Here's where the human touch comes in. The future of work isn't about humans vs. machines; it's about humans and machines working together. Imagine AI taking care of the mundane stuff, freeing us up to focus on the bigger picture – strategic thinking, problem-solving, and innovation. Think about it – wouldn't you rather be brainstorming the next big marketing campaign than battling with a spreadsheet? AI can analyze mountains of data, identify trends, and generate reports, but it can't replace the human ability to think outside the box and come up with creative solutions. The key for future managers is to understand how to leverage automation to our advantage. We need to equip ourselves with the skills to manage and collaborate with AI, not compete with it. Learning to code, developing data analysis skills, and honing our critical thinking – these are the qualities that will make us invaluable in the automated workplace. So, the future of work might involve robots, but it also involves us – the human element that brings ingenuity, empathy, and that spark of creativity that machines just can't replicate. The future is bright, and it's a collaboration – let's get ready to seize the opportunities it presents! #FutureOfWork #Automation #HumanTouch #ManagementStudent

Staying future-ready as an #IndustrialEngineer is an exciting adventure! In the coming weeks, I'll be sharing my thoughts and learnings from the training and courses I’m diving into to bridge the gap between traditional Industrial Engineering and AI/ML. I’ve identified 4 fun reflection points on how Industrial Engineers can be future-ready. (See image post) Let’s embrace self-education! Dive into cross-functional projects, network with GenAI/ML experts, and collaborate on innovative solutions. Stay informed through industry news, conferences, and professional organizations. Let's drive meaningful progress together! Follow #konnectkonsult and Korina “Kon” Mercado and stay informed about valuable Continuous Improvement and Transformation tips! #ProcessOptimization #LeanThinking #LLM #PromptEngineering #QualityImprovement #AI #ML #OperationalExcellence #QualityManagement #KaizenPrinciples #LeanSixSigma #LifeLongLearning #IndustrialEngineering #AgileSigma #AIIntegration #ContinuousLearning #ContinuousTransformation Check previous content below: ✅Bridging Gaps between Traditional Industrial Engineering and AI/ML: https://lnkd.in/graNeP8h ✅Rising Gaps between Process Improvement and Tech/AI: https://lnkd.in/gcT2HSu4 ✅Mastering Problem-Solving: https://lnkd.in/gfXKFb2E ✅Understanding CX: https://lnkd.in/gpd43W7D ✅Different Career Paths: https://lnkd.in/gtKFZxFk ✅Evolution of Business Process Improvement: https://lnkd.in/gvCjeYSt ✅Industrial Engineering From A to Z: https://lnkd.in/g4bsKydq ✅2024 Learning Schedule: https://lnkd.in/gRi-uP8N ✅10 Common Types of Errors: https://lnkd.in/g54yu5ks ✅Levels of Mistake Proofing: https://lnkd.in/gRvTeRMd

A recent study conducted by Ness Digital Engineering and Zinnov has found that the implementation of generative AI (GenAI) in software engineering can improve productivity by up to 70%. The study, titled "Harnessing the Power of Generative AI in Transforming Software Engineering Productivity," aimed to understand the technology and psychological drivers of engineering productivity and its long-term impact on businesses and organizational design. The study involved over 100 software engineers and analyzed their real-world experiences in live engineering environments using Ness's proprietary platform Matrix. The findings of the study showed that GenAI not only increases productivity but also enables companies to globalize work seamlessly by providing deeply assisted context. Key observations from the study include a 70% reduction in task completion time for existing code updates, a 48% reduction in task completion time for senior engineers, a 10% reduction in high code complexity tasks, and a 70% improvement in engagement among engineers. The study suggests that GenAI has the potential to transform the software development landscape by enhancing productivity and expediting innovation cycles. However, the study also highlights the misconception that GenAI is merely a code generation tool. To fully harness the power of GenAI, organizations need to understand its impact on various aspects of software development, including product development processes, organizational structures, employee engagement, and learning and development. Overall, this study has positive implications for the generative AI industry. It demonstrates the significant productivity gains that can be achieved through the implementation of GenAI in software engineering. By reducing task completion time, improving engagement, and enabling engineers to navigate complex coding scenarios more efficiently, GenAI has the potential to revolutionize the software development process. Question for discussion: How do you think the widespread adoption of generative AI in software engineering will impact the future of work and organizational structures? #GenerativeAI #SoftwareEngineering #Productivity

BY MCKINSEY & COMPANY: Unveiling the next frontier of engineering simulation! How can digital simulation derive new insights, identify and fix issues earlier in the cycle, and accelerate product testing and validation? Product development is an essential part of economic growth and social progress. Big industries, including automotive, aerospace and defense, telecommunications, medical devices, and consumer products, expect a third of their sales to come from new products. Over the next five years, that means $30 trillion in revenues depend upon successful product development projects in those sectors. With so much value at stake, advanced product development capabilities are a key strategic priority for companies. And those capabilities increasingly depend upon access to sophisticated digital technologies, along with the skills, processes, and organizational structures to use them effectively. In one 2021 McKinsey survey of R&D leaders, three quarters of respondents said that digital product development is essential in their organizations. Those leaders acknowledge that digitization is still a work in progress, however, with half admitting that they don’t currently have the capabilities they know they need. In this paper, we focus on one area of digitization with central relevance to the product development process: simulation. The ability to simulate product performance and behaviors in a virtual environment has been the catalyst for profound changes in the way engineering is done, offering product development teams the ability to derive new insights, identify and fix issues earlier in the cycle, and accelerate product testing and validation. Simulation in flux: Simulation is also going through a period of significant technological disruption that is creating new opportunities and challenges for users in multiple areas. Those disruptions are affecting almost every aspect of the simulation value chain. Cloud-based simulation platforms are emerging as an alternative or addition to traditional workstation-based infrastructure. New analytical approaches, such as meshless methods and multiscale modelling, are extending the application of simulation to new domains and new types of problem. Inputs derived from sensor data, closed loop simulation and digital twin technologies are narrowing the gap between the real and virtual worlds. https://lnkd.in/eShWKd9c

Rockwell Automation Invests in Elementary for AI Vision https://lnkd.in/g5K7wwJN #Elementary #artificialintelligence #RockwellAutomation #digitaltransformation #automation #manufacturing #investment #technology #infrastructure #AI THE CORPORATE MAGAZINE

🔗 Introducing the Digital Twin Model. A digital twin is a virtual model of an actual or intended physical product, system or process (a physical twin) that serves as an effectively indistinguishable digital counterpart of it for practical purposes such as simulation, integration, testing, monitoring and maintenance. This, has been conceived since its initial introduction as the underlying premise for product lifecycle management and exists throughout the entire lifecycle (create, build, operate/support and dispose of) of the physical entity it represents. It can and often does exist before a physical entity exists and this is the beauty of this model. The use in its creation phase allows to model and simulate the entire life cycle of the envisioned final entity. A digital twin of an existing entity can be used in real time and regularly synchronized with the corresponding physical entity. The evolving US DoD Digital Engineering Strategy initiative, first formulated in 2018, defines a digital twin as "an integrated multiphysics, multiscale, probabilistic simulation of an as-built system, enabled by a Digital Thread, that uses best available models, sensor information, and input data to reflect and predict activities/performance over the lifetime of its corresponding physical twin." Digital twins can be further characterized as a digital representation of a physical object or system throughout its lifecycle, using real-time data to enable understanding, learning and reasoning. ▶ Read me in depth: https://medium.com/ Tip of the post 💡: https://usebloom.com/ At a time when technology and its skills are in fashion, I am betting on soft skills driven by it. Coaching piloted by AI.