From Copilots to Operators: How Enterprise AI Is Becoming an Operational Control Layer

“Musk Will Get Richer, People Will Get Unemployed”: Hinton on AI & ChatGPT 5.2 jump

Google Nested Learning – AI memorizes like our brain

Speaker at “R&D 4.0 Strategy Day “, 30th November 2023 in Zurich, Switzerland

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Generative AI heralds a new era in Industry 4.0, promising to revolutionize research and development (R&D) and manufacturing. The “R&D 4.0 Strategy Day” in Zurich will feature discussions on integrating Generative AI into business processes, impacting workforce dynamics and operational models. This event will explore strategies for adapting R&D to the digital age, focusing on agile management, open innovation, and the use of advanced technologies like AI, simulation software, and big data analytics. The conference aims to deliver insights into the transformative potential of Generative AI, emphasizing its role in the future of R&D and manufacturing.

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Fairness, Transparency, and Accountability (FTA) in navigating Ethical Quagmires in AI Chatbot Governance

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As AI chatbots advance towards human-like interactions, the urgency for robust ethical frameworks intensifies, exposing the inadequacies of current governance mechanisms. The concept of AI constitutions, while pioneering, remains aspirational, with existing guidelines lacking the comprehensiveness to mitigate potential abuses effectively. The reliance on Reinforcement Learning by Human Feedback (RLHF) is fundamentally flawed, failing to offer a nuanced ethical compass or transparency in decision-making. Furthermore, the so-called AI guardrails demonstrate vulnerability, easily bypassed by trivial manipulations. This scenario underscores the critical need for a dynamic, interdisciplinary approach to AI governance, incorporating diverse perspectives beyond the technological realm to navigate the ethical complexities inherent in AI development and deployment.

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Speaker at “Strategy Day Cybersecurity” – 28/09/2023 Zurich, Switzerland

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In today’s digital landscape, generative AI, including tools like ChatGPT, presents both opportunities and threats to cybersecurity. Cybercriminals can misuse AI chatbots for sophisticated phishing and social engineering attacks, tricking users into divulging sensitive information. This speech explores how AI amplifies cyber risks, the dangers of fake support chatbots, and practical steps for IT professionals to strengthen security measures. By understanding these new threats, we can better protect systems, data, and users from the dark side of AI-driven cyber threats.

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Unveiling the intricacies of Hashtag Sense Clustering Based on Temporal Similarity for a marketing campaign of a big coffee Company

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In the ever-evolving world of social media, hashtags have become a cornerstone in shaping digital conversations. They are not just mere labels but are pivotal in categorizing and identifying the pulse of social narratives. However, with this utility comes a challenge: the dynamic and polysemous nature of hashtags. This complexity is where the innovative approach of “Hashtag Sense Clustering Based on Temporal Similarity” comes into play. The challenges of hashtags in Twitter (X) Traditionally, hashtags have been used as simple markers to categorize posts or as symbols of community affiliation. But their usage varies greatly, often leading to ambiguity. The same hashtag can represent different topics at different times, and conversely, various hashtags can denote the same subject. This polymorphic nature, coupled…

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Exploring Skill Biased Technological Change, Routinization, and the Impact of AI on the Job Market

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The exploration of Skill Biased Technological Change (SBTC) and Routinization in the context of artificial intelligence (AI) reveals a nuanced impact on the job market. SBTC highlights the increasing demand for high-skilled labor as technology advances, while Routinization underlines the susceptibility of routine tasks to automation, potentially displacing jobs. However, AI also fosters new opportunities, necessitating skills that complement technological capabilities, such as data analysis, creativity, and complex problem-solving.

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Turning Doubts into Triumphs: A Project Manager’s Journey in navigating high-risk AI investments

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Focuson securing funding for a high-risk AI research initiative, emphasizing the significance of comprehensive project understanding, effective storytelling, and resilience in stakeholder management. The journey highlights the essential strategies for overcoming skepticism: articulating the project’s potential to revolutionize drug discovery, transparently addressing risks with a mitigation plan, and demonstrating the value of perseverance, adaptability, and emotional intelligence. This experience offers key insights for managing high-stakes technology investments, underscoring the importance of technical knowledge, narrative crafting, risk communication, leadership humility, and mental health awareness.

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The critical role of HL7 and FHIR in Pharmaceutical Innovation: A Case Study Approach

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Highlighting the transformative role of Health Level Seven International (HL7) and Fast Healthcare Interoperability Resources (FHIR) in the pharmaceutical industry, emphasizing their importance in enhancing drug development, patient outcomes, and regulatory compliance. HL7 and FHIR facilitate seamless data exchange across healthcare systems, enabling pharmaceutical companies to leverage comprehensive patient data for accelerated drug development and improved therapeutic strategies. The integration of FHIR in a global R&D company is showcased as a case study, illustrating significant improvements in clinical trial efficiency, data security, and regulatory compliance. The implementation process involved strategic planning, infrastructure upgrades, software development, and rigorous data validation to ensure compliance with FHIR standards. This case study underscores the critical role of data standardization and advanced analytics in pharmaceutical innovation, highlighting the benefits of real-time data access, efficient patient recruitment, remote monitoring, and streamlined regulatory processes.

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This time is different: the impact of ChatGPT on the future of jobs and the advent of real time self-coding applications

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The article discusses the impact of ChatGPT and other AI technologies on society and the workforce, with a focus on how it will affect different professions. The article also explores the advent of real-time application development and how AI tools like ChatGPT are shifting the paradigm towards personalized applications that are developed on demand, in real-time. The article concludes by providing tips on how to adapt to the disruption brought about by AI, including taking basic AI or machine learning courses and reading top AI books.

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The AI Productivity Revolution of 2023

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The 2023 Gartner Emerging Technologies and Trends Impact Radar identifies pivotal advancements shaping the future of technology and business. It underscores the critical role of four groundbreaking technologies: neuromorphic computing, self-supervised learning, the metaverse, and human-centered AI. These innovations are poised to redefine market landscapes by enhancing AI capabilities, accelerating learning processes without extensive human supervision, offering immersive digital realms, and prioritizing ethical considerations in AI development.

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AI Pause: A Call to Action for Safe and Responsible Development of Advanced AI Systems”

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Addressing the pressing need for responsible AI development, the AI Pause initiative advocates for a six-month halt in training advanced AI models. Supported by prominent figures like Elon Musk, it aims to mitigate societal risks associated with unchecked AI advancement. The call emphasizes the importance of aligning AI progress with human values and implementing robust safety protocols. As the debate unfolds, it underscores the imperative for industry-wide collaboration and oversight to safeguard against potential threats posed by AI innovation.

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