Philips and Mass General Brigham announce collaboration to improve patient care with live AI-powered insights.

Philips and Mass General Brigham have announced a collaboration to enhance patient care through advanced data analytics and AI. By integrating real-time healthcare data from various sources, the partnership aims to improve clinical decision-making and patient safety, particularly in continuous heart monitoring, potentially saving lives and expediting treatment.

Cyrus Adaggra on how Equinix is leveraging AI to drive optimisation of its data centers – ET CIO SEA

In an exclusive interview, Cyrus Adaggra, President of Equinix Asia-Pacific, discusses the transformative impact of AI on data centers, emphasizing its role in driving growth and optimizing operations. He highlights Equinix’s commitment to sustainability, achieving 96% renewable energy coverage and innovative strategies to meet net zero goals.

The Rise of AI in Manufacturing to Collect and Use Data | ManufacturingTomorrow

The manufacturing industry is transforming with real-time data, marking the rise of AI in optimizing processes. This shift empowers small and medium-sized manufacturers to enhance quality, speed, and cost-effectiveness. By leveraging data collection and automation, manufacturers can improve operations, employee satisfaction, and overall efficiency in a competitive landscape.

AI in Responsible Gambling: How Technological Solutions are Enhancing Safety and Security

Slotegrator is enhancing responsible gambling through AI tools that analyze player behavior, helping to identify risky patterns. By automating notifications and improving KYC processes, these technologies create a safer gaming environment, supporting operators in adhering to responsible gambling norms and reducing the likelihood of addiction.

How AI is Transforming Data Analytics: A Guide for Tech Professionals

Artificial Intelligence is revolutionizing data analytics by enhancing processing capabilities and uncovering insights from complex datasets. Key advancements include automated pattern recognition, predictive modeling, and real-time analysis. For tech professionals, understanding these changes is essential to remain competitive in an increasingly data-driven landscape. Explore the future of AI in analytics.

Helmholtz Munich

A new study from Helmholtz Munich highlights critical biases in machine learning models for human single-cell data, emphasizing the ethical imperative to address these issues. By embedding ethical principles from the start, researchers aim to ensure equitable healthcare outcomes and build trust in AI-driven medical solutions.

Revolutionizing Procurement: The Impact of AI Agents on Supply Chain Efficiency

In “Revolutionizing Procurement,” Parameswara Rao Tatini explores how AI is transforming supply chain efficiency. By automating processes like supplier evaluation and demand forecasting, AI enhances decision-making and reduces risks. The integration of emerging technologies like blockchain promises to further optimize procurement, making it more automated and resilient.