Constellation Research provides a range of services including advisory, custom research, speaking engagements, and technology acquisition to help clients understand and utilize technology effectively. The site features extensive content on various business and technology themes, role-specific research, annual Supernova Awards that recognize innovative companies, and various summits and forums such as the Ambient Experience Summit and the Healthcare Transformation Summit. Access to some parts of the site is restricted, requiring membership or executive network access for more in-depth resources.

Secrets to a Successful AI Strategy Constellation Research

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