Tag: artificial-intelligence

AI

Shifts in world order- includes review “The Technological Republic-Karp”

Colin Henderson

When I began this review I was focussed on Karps useful and relevant new book. He reflects on the last 30 year silicon valley dominance of technology world which reflects a clear consumer focus reflected in web clicks, marketing, user growth and consumer attraction. Karp reflects much from history before WWII and the engineering focus of Roosevelt and his congressional colleagues. The primary focus was to maintain and improve on the strength and power of America following success during the war but seeing the alternative enemies  that ultimately resulted in the Cold War. This produced inventions we rely on today, … Continue reading Shifts in world order- includes review “The Technological Republic-Karp”

AGI, AI

The Evolution of Human Thought and the Emergence of AI: A Historical Synthesis

Colin Henderson

Abstract This report traces humanity’s evolving relationship with reality, knowledge, and reason from antiquity to the digital age, culminating in the rise of artificial intelligence (AI). Across epochs, societies have grappled with the tension between faith, reason, and technological innovation, each era refining—or contesting—the role of human cognition in shaping understanding. The classical world elevated reason and idealized forms; medieval theology subordinated inquiry to divine revelation; the Renaissance and Enlightenment recentered human agency and empirical observation. Modernity’s scientific revolutions destabilized classical physics and philosophy, revealing reality’s inherent subjectivity. Today, AI challenges the primacy of human reason, offering new tools to … Continue reading The Evolution of Human Thought and the Emergence of AI: A Historical Synthesis

AI

Navigating Cybersecurity and AI

Colin Henderson

Starting to think abut AI in context of Cybersecurity. Courtesy of Koat.ai Summary AI plays a dual role in cybersecurity, enhancing threat detection and response while also being exploited by cybercriminals. Businesses can leverage AI to automate tasks, provide real-time threat analysis, and enable scalable security measures. However, they must address data privacy, compliance, and bias concerns while ensuring ethical AI use. The Art of Staying Secure with AI Cybersecurity defends against digital attacks on systems, networks, and data. AI changes how these defences are deployed. By leveraging AI, businesses can automate processes and enhance threat detection. This synergy offers … Continue reading Navigating Cybersecurity and AI

AI, strategy

How AI is transforming strategy development – McKinsey

Colin Henderson

Citation: About the authors This article is a collaborative effort by Alexander D’Amico, Bruce Delteil, and Eric Hazan, with Andrea Tricoli and Antoine Montard, representing views from McKinsey’s Strategy & Corporate Finance Practice. At its core, strategy entails deriving insights from facts and data, developing real options based on those insights, making hard-to-reverse choices, and executing initiatives that convert those choices into value. Data analytics has assisted in this work for several decades, but never before has technology been able to not only augment and partially automate inputs into strategy but also combine them into complex analyses. In time, it may even recommend … Continue reading How AI is transforming strategy development – McKinsey

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Source-DeepLearning.ai 03/01/25

Colin Henderson

Happy New Year! Hopes For 2025 With Mustafa Suleyman, Audrey Tang, Albert Gu, Hanno Basse, Joseph Gonzalez, David Ding Dear friends, Happy sum(i**3 for i in range(10)) ! Despite having worked on AI since I was a teenager, I’m now more excited than ever about what we can do with it, especially in building AI applications. Sparks are flying in our field, and 2025 will be a great year for building!  One aspect of AI that I’m particularly excited about is how easy it is to build software prototypes. AI is lowering the cost of software development and expanding the set … Continue reading Source-DeepLearning.ai 03/01/25

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Copyright and Artificial Intelligence

Colin Henderson

Copyright and Artificial Intelligence Published 17 December 2024 Ministerial Foreword Both our creative industries and our AI sector are UK strengths. They are vital to our national mission to grow the economy. This consultation sets out our plan to deliver a copyright and AI framework that rewards human creativity, incentivises innovation and provides the legal certainty required for long-term growth in both sectors. At present, the application of UK copyright law to the training of AI models is disputed. Rights holders are finding it difficult to control the use of their works in training AI models and seek to be remunerated for its use. AI developers are similarly finding it … Continue reading Copyright and Artificial Intelligence

AI

Delivering on the promise of AI in banking (Mckinsey)

Colin Henderson

Much has been written about the power of AI, including generative AI (gen AI), to transform banking. Beyond ushering in the next wave of automation, AI promises to make banks more intelligent, efficient, and better able to achieve stronger financial performance. About the authors While the buzz is undeniable, many banking C-suite leaders are increasingly asking questions about the realization of value in light of the headwinds facing the sector. Will AI live up to expectations? After initial experimentation, how can banks go from proof of concept to proof of value and truly reimagine and transform the enterprise using AI? How soon, if … Continue reading Delivering on the promise of AI in banking (Mckinsey)

AI

The difference between using Retrieval Augmented Generation and Agents?

Colin Henderson

A thought provoking piece from Shahab Anbarjafari • Professor, Author, Public Speaker I have been discussing with a few CTOs and CIOs, all sharp, no-nonsense leaders. The question they tossed at me sounded simple: “Shahab, what’s the difference between using Retrieval Augmented Generation (hashtag#RAG) and using hashtag#Agents?” But I could sense their real curiosity—like they were trying to understand a new dimension of AI that could define the future of their organizations. In that moment, I felt like I was back at the dawn of deep learning, where we realized that neural networks were more than just pattern-matchers. They could … Continue reading The difference between using Retrieval Augmented Generation and Agents?

AI

The AI National Security Memo and broader evolution of AI inferred

Colin Henderson

AI National Security Memo followed by MicKinsey memo on evolution of AI usage On October 24, 2024, the White House issued the first National Security Memorandum (NSM) on Artificial Intelligence, marking a significant development in U.S. AI policy and national security strategy[1][3]. This memorandum outlines a comprehensive approach to harnessing AI for national security objectives while addressing associated risks and challenges. Key Aspects of the AI National Security Memo AI as a National Security Priority The NSM identifies AI leadership as a critical national security priority for the United States[1]. It acknowledges that competitors have engaged in economic and technological … Continue reading The AI National Security Memo and broader evolution of AI inferred