Future Intelligence and Un-Be-Coming. Setting the Stage for New Agreements in the Age of A.I.
It's exciting, isn't it? Perhaps scary and unsettling as we are thrust forth into a vortex of A.I. touching almost every aspect of life and work. One fact is certain, there is no going back. With #NVIDIA's recent developments, we may have a humanoid cleaning our homes in no time at all! Talk about 'outsourcing!' Think of all the quality Family Time you may get back!
(Stay informed here with Leaders like: Allie K. Miller)
So many amazing publications shared here; it is hard to keep up. That is, in part, why I Founded www.AIforAll.live. You will find 1000s of curated resources in what I refer to as the "Library of the #Future."
Let's delve into a couple:
In the book "Future Intelligence: Future of Business and Finance," the chapter "Future of Leadership" explores the evolving landscape of leadership, particularly in the context of the accelerating future and the impact of the COVID-19 pandemic. The chapter draws insights from interviews with influential leaders, including Young Global Leaders of the World Economic Forum, to envision a new era of leadership characterized by empathy, humanity, and a shift towards more distributed and interconnected forms of leadership.
Key themes in this chapter include the emergence of more empathetic, holistic, and sustainable forms of leadership, reflecting the changing dynamics of the global society. Future leaders are anticipated to emphasize human connection and trust as the foundation for collective dialogue, particularly in a world that is increasingly connected through technology. Moreover, the chapter highlights the importance of developing leaders with high Future Intelligence or Future Quotient (FQ), which encompasses traits such as adaptability, awareness, empathy, collaboration, and integration. The chapter also delves into the intersection of technology and leadership, emphasizing the need for leaders to navigate technological disruptions and harness future technologies for the collective good.
The chapter provides insights from various influential leaders, offering a glimpse into the evolving nature of leadership and the essential traits that future leaders will need to navigate the complexities of a VUCA (volatile, uncertain, complex, and ambiguous) world. It also underscores the significance of authenticity and the right blend of leadership traits, reflecting a shift towards more caring and value-driven forms of leadership. Overall, the chapter offers a thought-provoking outlook on the evolving landscape of leadership and the essential qualities that will define future leaders in the year 2050 and beyond.
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The document "TechRadar by Devoteam 2024 Edition" provides an in-depth analysis of emerging technologies, focusing on key areas such as Artificial Intelligence (AI), Cloud Platforms, Cybersecurity, and Sustainability. The publication aims to guide businesses through the complexity of tech, supporting sustainable digital transformation. The preface emphasizes the importance of staying at the forefront of new advances in technology and provides an overview of the new technologies that will revolutionize the way businesses operate.
The "GenAI" revolution, particularly the emergence of generative AI and its impact on modern business technology decisions, is a central theme. The document discusses the transformative potential of generative AI, highlighting its influence on automation, operational efficiency, personalized customer experiences, and its role in IT infrastructure and application development.
Furthermore, the document introduces the TechRadar framework, which classifies technologies into strategic domains and rings, allowing businesses to make informed decisions about which technologies to adopt, assess, or hold. It also acknowledges the essential technologies that have stood the test of time and have become industry standards, honoring them in the "Honorable Mentions" section.
The section on "Data-driven Intelligence" emphasizes the benefits of data sharing and its potential to drive tangible business outcomes. It underscores the importance of cultivating a culture of data sharing, strengthening client/supplier relationships, leveraging a ready-to-use ecosystem, and enlisting data analysts to ensure effective data utilization.
Additionally, the document includes case studies that demonstrate the practical application of emerging technologies in real-world scenarios. For instance, a case study highlights the digital transformation of the Belgium Government's official local employment administration, focusing on the modernization and revolutionization of services for employees and citizens. Another case study discusses the significance of data sharing in facilitating citizen interaction and driving sustainable, user-centric platforms.
Overall, the document provides valuable insights into the evolving technological landscape, emphasizing the significance of embracing emerging technologies, the potential benefits of data sharing, and the practical applications of these technologies in real-world scenarios. It emphasizes the need for businesses to adapt to new advances in technology to drive sustainable digital transformation and gain a competitive edge in the modern business environment.
The document "Addressing the New Skills in an AI World" outlines the evolving landscape of AI skills in the finance industry and the collaborative efforts required to bridge the skills gap. It emphasizes the importance of equipping finance professionals with a comprehensive skill set that includes technical expertise in areas like Generative AI, classical AI skills, and soft skills such as adaptability and ethical decision-making.
The roundtable discusses the role of various stakeholders, including individuals, private organizations, and governments, in addressing the AI skills gap. It highlights the need for continuous learning culture, cross-functional collaboration, and investment in employee training within organizations, while also stressing the importance of creating an AI-conducive regulatory environment and fostering public-private partnerships at the national level.
The document provides insights into best practices for AI skills development, emphasizing collaborative efforts, prioritizing training over traditional hiring and firing methods, and adopting diverse training methods to cater to different learning styles and speeds. The ultimate goal is to ensure that the workforce is not only AI-literate but also capable of effectively applying these skills in their jobs, preparing them for the changes brought about by AI and Generative AI in the fast-evolving finance industry.
Now, drum roll, please. Excited to bring you my latest book (& yes, I did use A.I. for polishing touches). Our Gift - The Un-Be-Coming.
Please download for free, and as always, sharing is caring! Let's circulate this book to bring awareness to ALL of the power of #AI to shape our world. We have all the tools we need to future-proof our lives as we head towards the #post-labour #economy.
This book sets the stage for New Agreements that we can consider making now. Here are some ideas;
In the age of Artificial Intelligence (AI), the dynamic interplay between technology and human society necessitates a reevaluation of traditional agreements across various sectors. These sectors include #finance, #identity, #culture, #education, the nature of #work, and life #priorities. As AI continues to reshape the landscape of human activity, it becomes imperative to forge new agreements that reflect contemporary challenges and opportunities. The following outlines potential agreements that society and the economy can consider in adapting to the evolving role of AI:
Finance
Digital Currency and Blockchain Integration: With AI's capability to enhance security and efficiency, new agreements could facilitate the wider adoption of digital currencies and #blockchain technology, promoting transparency and reducing fraud. Financial institutions could collaborate with #tech companies to establish standards and regulations that ensure privacy and data security.
AI-driven Regulatory Compliance: Agreements could focus on using AI to streamline regulatory compliance, reducing the burden on financial institutions while maintaining robust oversight. This would require a consensus on data sharing protocols and AI audit mechanisms.
Identity
Biometric Data Protection: As biometric identification becomes more common, agreements must prioritize the protection of this sensitive information. Regulations should define clear boundaries for data usage, consent mechanisms, and rights to data portability.
Decentralized Identity Systems: The adoption of #decentralized identity systems, supported by blockchain, could empower individuals with control over their digital identities. Agreements in this space would need to balance security, privacy, and ease of use.
Culture
Preservation of Cultural Heritage: AI can play a crucial role in preserving and disseminating cultural heritage. Agreements might involve collaborative projects between #governments, #NGOs, and #technology firms to digitize and share cultural assets widely while respecting copyright and cultural sensitivities.
AI in Content Creation: The rise of AI in content creation presents challenges and opportunities for copyright and creativity. New agreements could establish frameworks for intellectual property rights in the age of AI-generated content, encouraging innovation while protecting creators.
Education
Personalized #Learning: AI's ability to tailor education to individual needs could transform learning experiences. Agreements between educational institutions, technology providers, and policymakers could ensure equitable access to AI-driven #education tools, emphasizing inclusivity and fairness.
Continuous Professional Development: As AI changes #job requirements, agreements on continuous professional development could support workforce adaptation. These might include partnerships between employers, educational institutions, and governments to fund lifelong learning initiatives.
Nature of Work
Workplace Automation and Redeployment: Agreements must address the impact of AI on employment, focusing on the ethical deployment of automation technologies and strategies for redeploying workers affected by AI. This could involve social safety nets, retraining programs, and incentives for companies that invest in human capital.
Remote Work and Gig Economy: The rise of AI-enabled platforms has expanded the gig economy and remote work. New agreements could define fair labor practices, benefits, and protections for gig workers and remote employees, recognizing these modes of work as integral to the modern economy.
Priorities in Life
Digital Well-being: As digital technologies pervade more aspects of life, agreements on digital well-being are essential. These might involve guidelines for technology usage, initiatives to combat digital addiction, and the promotion of a healthy balance between digital and physical worlds.
Sustainability and AI: Lastly, agreements on the role of AI in promoting sustainability could guide its development towards environmental goals. Collaborative efforts could focus on using AI for resource management, energy efficiency, and climate change mitigation, aligning technological progress with ecological preservation.
Thus, the age of AI presents a unique opportunity to rethink and renegotiate the social and economic contracts that govern our lives. By fostering dialogue, collaboration, and innovation across sectors, society can harness the benefits of AI while addressing its challenges, ensuring a future that reflects shared values and aspirations.
Let's share www.OurGift.ai and join the #AI Global Think Tank to engage in collaborative conversations that carry us forward to a future we can all thrive in!
Founder & CEO, Group 8 Security Solutions Inc. DBA Machine Learning Intelligence
9moThanks a lot for posting!