Generative AI is emerging as a significant disruptor in the stock photography industry, which already reeled from the transition to digital photography. Veteran photographers express concerns about AI’s potential to render traditional stock photography obsolete by providing clients with cheaper, quicker, and more controllable image generation options. Some industry giants like Shutterstock and Getty Images are integrating AI tools to adapt, complementing traditional offerings with AI-generated images to meet evolving market demands. However, the uncertainty remains whether AI can fully replicate the authenticity and artistic quality of human photography, with companies betting on a hybrid future of human and AI-generated photography to sustain the industry.

The Last Stock Photographers Await Their Fate Under Generative AI The Wall Street Journal

The article discusses several advancements in using AI to predict and manage sepsis, a life-threatening complication affecting millions globally. Recent developments include the TREWS system by Johns Hopkins University, which has shown promising results in early detection and treatment initiation across multiple hospitals. The University of California at San Diego has also developed the COMPOSER tool, which has reduced in-hospital sepsis mortality. Furthermore, Nanyang Technological University in Singapore introduced the SERA algorithm, enhancing early detection and reducing false positives. The article also explores the development of algorithms by Luminare, Inc., which focuses on identifying patient subtypes to better tailor sepsis interventions, aiming to reduce alert fatigue and improve clinical outcomes by providing more specific and actionable information to nurses.

Using AI to Predict the Onset of Sepsis - Mayo Clinic Platform Mayo Clinic Platform

In recent years, Microsoft has faced significant criticism for security and privacy lapses, highlighted by breaches from China-based Storm-0558 and Russian state-sponsored group Midnight Blizzard, which exploited Microsoft's Azure service and other systems. These incidents, along with others, triggered scrutiny from security researchers, U.S. lawmakers, and regulatory agencies, culminating in a damning report by the US Cyber Safety Review Board which criticized Microsoft's security culture and responses to breaches. In response, Microsoft announced the "Secure Future Initiative," aiming to prioritize security by introducing changes to its security practices, making leadership pay contingent on meeting security goals, and implementing a series of measures designed to enhance security across all user accounts and improve monitoring and reporting within the company. These efforts are part of a broader company-wide commitment, as reiterated in an internal memo by CEO Satya Nadella, to prioritize security enhancements over new features in response to the escalating cyber threat landscape.

Microsoft ties executive pay to security following multiple failures and breaches Ars Technica

Generative AI is increasingly influencing IT budgets across various business units, driven by its department-specific use cases and potential for process reinvention, akin to the spread of software-as-a-service (SaaS) spending in enterprises. Insights from technology CEOs suggest that generative AI spending will become a vital part of business operations, not just confined to IT departments, reflecting its significance in driving innovation, competitive differentiation, and strategic positioning. Companies are expected to integrate generative AI across different sectors of their operations, emphasizing the need for a culture and process change to fully leverage this technology. This spread of AI investment is supported by the growth in cloud budgets and the emphasis on generative AI by major tech CEOs, underlining its transformative potential across all business experiences and operations.

Generative AI spending will move beyond the IT budget LinkedIn