Goldman Sachs CIO Marco Argenti, speaking at the Domino Data Lab Rev 4 conference, emphasized the firm's strategic orientation toward becoming a "fully digital company" to remain at the forefront of industry trends. He discussed Goldman Sachs' heavy investment in technology and AI, noting that about a quarter of its workforce is tech-focused. Argenti, formerly of Amazon's AWS, values an external perspective for innovation and highlighted the evolving role of AI in enhancing human capabilities rather than replacing them. He underscored the importance of AI in augmenting productivity and developing synergies between humans and technology, illustrating his vision where each major role at Goldman Sachs would be paired with an AI co-pilot to optimize performance and decision-making processes.

Rewind: Goldman Sachs CIO Marco Argenti on AI, data, mental models for disruption Constellation Research

Walmart's recent decision to withdraw from the telehealth industry raises concerns about the viability of virtual care models, particularly those pioneered by large corporations. This move might impact the broader telehealth sector's momentum and future development strategies, as big companies reassess the profitability and sustainability of their health tech ventures.

What Walmart’s exit means for the future of telehealth publication

The May 2024 issue of IEEE Spectrum explores the evolving field of AI prompt engineering, highlighting recent shifts from human-crafted prompts to autotuned prompts generated by AI itself. Researchers have found that prompts created by language models can be bizarre yet more effective, raising questions about the future role of human prompt engineers. Despite advancements, the article notes that human roles in AI development will persist, adapting to new challenges in generative AI applications and continuing to require human oversight in various stages. While the article posits that prompt engineering jobs might eventually phase out, the demand for expertise in AI model operations and compliance suggests a continual evolution rather than a complete obsolescence of these roles.

AI Prompt Engineering Is Dead IEEE Spectrum

In a recent article, the concept of "Constructive Conflict" in cybersecurity is explored, highlighting the importance of embracing friction within teams and processes to foster meaningful discussions on cybersecurity risks. It emphasizes the need for leadership to differentiate between negative friction, which can be detrimental, and healthy friction, which is essential for preventing groupthink and ensuring diverse perspectives are considered, especially in key decision-making processes. The article suggests methods for creating opportunities for healthy friction, such as integrating security risk discussions at strategic points within project cycles and business processes. It also outlines several considerations for successfully implementing these friction points, including timing, relevance to the bigger business picture, clarity on the implications of security risks, credibility of the discussions, problem-solving orientation, and collaboration across departments. The goal is to enhance cybersecurity measures without impeding progress, in line with the SEC's recent push for greater transparency in cyber risk management.

Creating Sources of Friction Paul Connelly

Goldman Sachs CIO Marco Argenti, speaking at the Domino Data Lab Rev 4 conference, emphasized the firm's strategic orientation toward becoming a "fully digital company" to remain at the forefront of industry trends. He discussed Goldman Sachs' heavy investment in technology and AI, noting that about a quarter of its workforce is tech-focused. Argenti, formerly of Amazon's AWS, values an external perspective for innovation and highlighted the evolving role of AI in enhancing human capabilities rather than replacing them. He underscored the importance of AI in augmenting productivity and developing synergies between humans and technology, illustrating his vision where each major role at Goldman Sachs would be paired with an AI co-pilot to optimize performance and decision-making processes.

Rewind: Goldman Sachs CIO Marco Argenti on AI, data, mental models for disruption Constellation Research

Walmart's recent decision to withdraw from the telehealth industry raises concerns about the viability of virtual care models, particularly those pioneered by large corporations. This move might impact the broader telehealth sector's momentum and future development strategies, as big companies reassess the profitability and sustainability of their health tech ventures.

What Walmart’s exit means for the future of telehealth publication

The May 2024 issue of IEEE Spectrum explores the evolving field of AI prompt engineering, highlighting recent shifts from human-crafted prompts to autotuned prompts generated by AI itself. Researchers have found that prompts created by language models can be bizarre yet more effective, raising questions about the future role of human prompt engineers. Despite advancements, the article notes that human roles in AI development will persist, adapting to new challenges in generative AI applications and continuing to require human oversight in various stages. While the article posits that prompt engineering jobs might eventually phase out, the demand for expertise in AI model operations and compliance suggests a continual evolution rather than a complete obsolescence of these roles.

AI Prompt Engineering Is Dead IEEE Spectrum

In a recent article, the concept of "Constructive Conflict" in cybersecurity is explored, highlighting the importance of embracing friction within teams and processes to foster meaningful discussions on cybersecurity risks. It emphasizes the need for leadership to differentiate between negative friction, which can be detrimental, and healthy friction, which is essential for preventing groupthink and ensuring diverse perspectives are considered, especially in key decision-making processes. The article suggests methods for creating opportunities for healthy friction, such as integrating security risk discussions at strategic points within project cycles and business processes. It also outlines several considerations for successfully implementing these friction points, including timing, relevance to the bigger business picture, clarity on the implications of security risks, credibility of the discussions, problem-solving orientation, and collaboration across departments. The goal is to enhance cybersecurity measures without impeding progress, in line with the SEC's recent push for greater transparency in cyber risk management.

Creating Sources of Friction Paul Connelly