Sherry Heyl’s Post

🔍 While working a Microsoft learning path about how to transform your business with AI, I stumbled upon a very nice module on fostering an AI culture within organizations. 🧠💡 Embracing AI requires a profound cultural shift, and this module delves into the traits essential for becoming an AI-ready company. Let's explore what they suggest are the key aspects that drive this transformation and empower executives to lead their corporations into the digital era. To succeed in AI, we must address cultural challenges as well as business ones. Becoming an AI-ready organization requires a fundamental transformation in how we work, collaborate, and approach principles. This cultural shift demands holistic focus, backed by strong leadership, to ensure everyone embraces AI. 🌐🔄 Fostering an AI-ready culture requires: 1️⃣ Being data-driven. 📊🔍 2️⃣ Empowering people to engage in AI transformation and creating an inclusive environment for multidisciplinary collaboration. 🤝🌈 3️⃣ Embracing responsible AI practices to tackle complex questions. 🤔💼 🌐 Data-Driven Approach 📊🌐 AI thrives on quality data and unified access. Sharing data across the organization creates a comprehensive view of customers, enabling better decisions and improved experiences. Data integrity is vital for successful AI models. 📈 🚀 Empowerment and Inclusion 🤝🌟 To foster an AI-ready culture, we must empower people through resources, learning opportunities, and room for experimentation. An inclusive environment, involving data scientists and business employees, promotes versatile AI solutions. 🧪🏆 🤔 Responsible AI 🌟💼 As AI evolves, we face significant questions about its impact on individuals and society. Organizations need to design and use AI responsibly, ensuring fairness and ethical practices. Governance models for responsible AI are crucial. 📈🚀 In conclusion, fostering an AI-ready culture is not just a business strategy; it's a transformative journey that reshapes how we work, collaborate, and innovate. 🚀💼 Embracing a data-driven approach, empowering individuals through learning and experimentation, and adopting responsible AI practices are the key pillars for success in the digital era #AI #DataDriven #Empowerment #ResponsibleAI #DigitalTransformation Text co-created using generative AI (GPT4) Image co-created using generative AI (MidJourney 5.2)

Love it or hate it, we are unquestionably at the dawn of the AI era. Combining an incredibly intuitive interface with near-supernatural capabilities, generative AI is poised to disrupt virtually every function within your organization. Unlike previous “game-changing” trends (we’re looking at you, metaverse), this one has legs. AI is here to stay, so now #HR, #LearningandDevelopment, and #DigitalTransformation pros are tasked with ensuring the entire workforce gets up-to-speed. Quickly.  Sounds exciting, but for a workforce that’s already reeling from wave after wave of change, it’s easy for them to regard AI tools as just another “new thing” to grapple with. But what if we flipped the script? What if we: 💪 Ditch pixels for people, making AI training a decidedly human-first experience 🙌 Transform AI instruction into a collaborative event by learning as a team 🤝 Engage workers by having them learn by doing, using current challenges and opportunities In this week’s Springboard for Business blog post, author Marc Moschetto, marketing executive and Founder/CEO of KickMotor, LLC, unpacks the best ways employers can accelerate adoption, master new skills, and ensure workers view AI as a trusty sidekick, not a job-stealing monster. #aiforbusiness #aiforgood #aiinbusiness #aitools2023

"Today advances in technology are changing the demand for skills at an accelerated pace. New technologies can not only handle a growing number of repetitive and manual tasks but also perform increasingly sophisticated kinds of knowledge-based work—such as research, coding, and writing—that have long been considered safe from disruption. The average half-life of skills is now less than five years, and in some tech fields it’s as low as two and a half years. Not all knowledge workers will lose their jobs in the years ahead, of course, but as they carry out their daily tasks, many of them may well discover that AI and other new technologies have so significantly altered the nature of what they do that in effect they’re working in completely new fields." #AI #generativeAI #jobskills #hiring

Harvard’s Digital Reskilling Lab and the BCG Henderson Institute surveyed over 40 companies worldwide and learned about some fascinating shifts in how leaders are thinking about how businesses reskill for the AI revolution. Read more at Tech Republic https://lnkd.in/eY5edGWY

How can we leverage global team diversity for innovation and effectiveness? In today's business landscape, creating cross-cultural teams goes beyond strategic advantage—it reflects our interconnected world. Artificial Intelligence (AI) and Machine Learning are poised to revolutionize this integration, providing tools to overcome linguistic and cultural barriers and foster stronger, more innovative teams. As companies increasingly recognize the value of diversity, AI and Machine Learning play an indispensable role in enhancing cross-cultural dynamics. These technologies not only bridge gaps but also unlock the potential within our differences, turning diversity from a challenge into our greatest asset, #AI #MachineLearning #Diversity. Intersog leads this transformation, offering the technical prowess and ethical insight to navigate cross-cultural team enhancement. With deep expertise in AI and Machine Learning and a commitment to diversity and inclusion, we're the ideal partner for organizations ready to maximize their global teams' potential, #Intersog. Contact us today to discover how our solutions can elevate your global teamwork.

Our senior Data Scientist Anthony Wynne shared his thoughts on this article about AI ⬇️ - what do you think? "That makes sense. We are already seeing AI reskilling develop as this article predicts; however, I feel it will not be the most effective reskilling programme if the businesses run it top-down, as the article describes. "Business leaders would be better off creating an environment so that this change can flow dynamically from the bottom up, enabling staff to discover new technology and promoting it to their colleagues, keeping up with the fast pace of change. "The pyramid's base has a higher probability of uncovering the the signal from the noise by trial and error with a fast-evolving technology. "How about allowing some tech freedom and then asking the most productive people and teams what they are doing and helping it spread — unleashing viral productivity?" #AI #tech #expertise

AI isn't just going to disrupt, it's going to reshape and redefine work 🤖 It seems like every day I come across a new AI feature on the different platforms I use, claiming to make tasks easier or quicker. The more of my job it takes, the more I wonder what will be left for us 'humans' to do in years to come 😅. It's predicted that 375 million jobs could vanish by 2030, with AI potentially displacing 40% of jobs worldwide in the next 15 years (https://lnkd.in/gAy3x-ji). But despite the worries about jobs being taken over, the good part is AI can help us do things that need our human touch, like understanding emotions, being uniquely creative, being aware of what's happening around us, and solving tricky problems - things AI can't do too well just yet. The linked HBR article is a good read and talks about 'reskilling' as AI changes job roles, stressing the need for varied skills and the ability to adapt during this change. A few key things it says you can do to better position yourself in this new world of work include: 🔵 Seek Training (a never-ending cycle) The rise of AI highlights the need for ongoing learning and training. Growing our skills is not a choice anymore, it's a must as current tasks/duties become redundant or replaced, and job roles change. 🔵 Adopt a Growth Mindset Being open to growth helps us move smoothly in this increasingly AI-driven world. Adopting a growth mindset makes us more flexible and adaptable professionals able to use AI to our advantage, rather than seeing it as a threat to our jobs. 🔵 AI is our Mate Shifting the perception of AI, from seeing AI as a competitor to a teammate can boost how much we get done, spark new ideas, use cases, and applications, and improve how we serve our clients and customers. This AI era we're in is going to push professionals and businesses to keep growing or risk falling behind. So embrace the robots 🤖🤝 #AI #FutureOfWork #ContinuousLearning #CareerDevelopment

Same w/any technology, but especially this one. What may be the consequences of failed or not path. Finding the path toward success as organizations bring AI into the workplace #ai #artificalintelligence #leadership #innovation #ChatGPT #futureofwork #GenerativeAI #businessautomation #digitaltransformation #processautomation #ibm IBM #chatbot #startup #marketing #strategy #business #publicsector #technology #metaverse #airegulation #llm #data #ml #machinelearning #customerservice

Reskilling in the Age of AI An interesting article by Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun on hbr.org “Summary. In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but...more Back in 2019 the Organisation for Economic Co-operation and Development made a bold forecast. Within 15 to 20 years, it predicted, new automation technologies were likely to eliminate 14% of the world’s jobs and radically transform another 32%. Those were sobering numbers, involving more than 1 billion people globally—and they didn’t even factor in ChatGPT and the new wave of generative AI that has recently taken the market by storm. Today advances in technology are changing the demand for skills at an accelerated pace. New technologies can not only handle a growing number of repetitive and manual tasks but also perform increasingly sophisticated kinds of knowledge-based work—such as research, coding, and writing—that have long been considered safe from disruption. The average half-life of skills is now less than five years, and in some tech fields it’s as low as two and a half years. Not all knowledge workers will lose their jobs in the years ahead, of course, but as they carry out their daily tasks, many of them may well discover that AI and other new technologies have so significantly altered the nature of what they do that in effect they’re working in completely new fields. To cope with these disruptions, a number of organizations are already investing heavily in upskilling their workforces. One recent BCG study suggests that such investments represent as much as 1.5% of those organizations’ total budgets. But upskilling alone won’t be enough. If the OECD estimates are correct, in the coming decades millions of workers may need to be entirely reskilled—a fundamental and profoundly complex societal challenge that will require workers not only to acquire new skills but to use them to change occupations. Companies have a critical role to play in addressing this challenge, and it’s in their best interests to get going on it in a serious way right now. Among those that have embraced the reskilling challenge, only a handful have done so effectively, and even their efforts have often been subscale and of limited impact, which leads to a question: Now that the need for a reskilling revolution is apparent, what must companies do to make it happen? In our work at the Digital Data Design Institute at Harvard’s Digital Reskilling Lab and the BCG Henderson Institute we have been studying this question in depth, and as part of that effort we interviewed leaders at almost 40 organizations around the world that are investing in large-scale reskilling programs.” #flpnews #AI Follow me: https://lnkd.in/dgUYdM5s.

Adopting AI: tips for managers implementing change Firms are wrestling with how to convince staff to use artificial intelligence (AI) and other new technologies. A study led at Cambridge Judge, focusing on social comparisons among employees, cautions against a false dichotomy between full and no adoption. The study is co-authored by Antoine Feylessoufi, a PhD graduate of Cambridge Judge Business School who is now a Research Fellow at University College London; Stelios Kavadias, Margaret Thatcher Professor of Enterprise Studies in Innovation & Growth at Cambridge Judge; and Daniel Ralph, Professor of Operations Research at Cambridge Judge. Read more > https://lnkd.in/eNG2bHZD #AI #aiadoption #Change