• Microsoft’s carbon emissions have increased by 23.4% since 2020, mostly due to the construction of data centers for its cloud and AI operations.
• Scope 3 emissions, which are outside a company’s direct control, represent nearly all of Microsoft’s carbon footprint.
• The construction of data centers is the main driver behind Microsoft’s stubborn Scope 3 emissions, due to the carbon-intensive materials used in the buildings.
• Finding green electricity sources for data centers is a challenge, as data centers aren’t always built near abundant clean energy sources.
• Microsoft has to cut its emissions by more than half while also significantly ramping up its carbon-removal efforts to meet its 2030 goal.

This article discusses Microsoft’s recent sustainability report, which highlights the challenges of reducing carbon emissions in a carbon-heavy economy. The report shows that Microsoft’s carbon emissions have increased by 23.4% since 2020, mostly due to the construction of data centers for its cloud and AI operations. The article also explores the difficulties of reducing Scope 3 emissions, which are outside a company’s direct control, and the challenges of finding green electricity sources for data centers.

• Obvio, a California-based startup, aims to enhance pedestrian safety on American streets.
• The company uses solar-powered cameras with AI technology to detect infractions at intersections.
• Data is verified by Obvio staff or contractors before being sent to law enforcement.
• Obvio recently raised $22 million in Series A funding and plans to expand its operations.
• The startup focuses on improving road safety while ensuring data privacy and limiting surveillance.

Obvio, a San Carlos, California-based startup, aims to enhance pedestrian safety on American streets by installing cameras at stop signs, while ensuring data privacy and limiting surveillance. The company recently secured $22 million in Series A funding and plans to expand its operations beyond Maryland.

• Google’s new Gemini Embedding model ranks number one on the MTEB.
• Gemini Embedding is now part of the Gemini API and Vertex AI.
• Enterprises face a strategic choice: proprietary or open-source models.
• Embeddings convert text into numerical lists, enabling powerful applications.
• Gemini Embedding is a unified model for diverse domains and languages.

Explore Google’s new Gemini Embedding model, now GA and ranked number one on MTEB, and its implications for enterprise AI, data, and security leaders. Learn about its features, competition, and strategic choices for businesses.

• Understanding the advantages of MCP over existing AI integration alternatives
• Comparing local and remote MCP deployment options, including trade-offs
• Implementing best practices for securing your MCP server

Explore the practical aspects of implementing the Model Context Protocol (MCP) for AI integration in your production environments. This guide addresses common questions and concerns, including MCP’s advantages over alternatives, trade-offs of local vs. remote deployment, and security considerations.