AI Agents
-
How Adobe and Real Madrid Partnership Transforms Fan Engagement
Real Madrid and Adobe expand their partnership, enhancing fan engagement through personalized content creation and AI-driven technology for 650 million fans.
-
AI in Retail at Levi Strauss: Meet the Levi’s Super-Agent
Levi Strauss & Co. is collaborating with Microsoft on an integrated AI platform to enhance efficiency and customer experience, anticipated to launch in early 2026.
-
Types of Context Engineering With Examples Explained
The transition from prompt to context engineering in AI aims to improve interaction by optimizing information environments for LLMs. This shift emphasizes strategies like writing, selecting, compressing, and isolating data effectively.
-
Learn Context Engineering: Resource List (Lectures, Blogs, Tutorials)
Context engineering is vital for developing effective AI agents. This post compiles resources ranging from beginner to advanced levels, covering various aspects of context management. By following structured learning paths, practitioners evolve from prompt writers to context architects, enhancing AI system capabilities.
-
10 Insights from Athens Summit with Greek PM Kyriakos Mitsotakis and DeepMind CEO Demis Hassabis
I found Greek Prime Minister Kyriakos Mitsotakis and DeepMind CEO Demis Hassabis’s interaction at the Athens Summit quiet insightful. Hence, I am sharing my key takeaways and included good quotes from them in this quick summary post. You can view the full interview here: Here’s the official transcript: Prime Minister Kyriakos Mitsotakis’ conversation with Demis…
-
AI Event: Learn How to Use AI Agents for RevOps
Virtual roundtable on AI agents using customer interactions to enhance revenue operations and insights.
-
Microsoft AI-Safe Jobs Study Explained: Use Insights to AI-Proof Career in 2025
Microsoft’s research on Generative AI and jobs, based on 200,000 conversations, identifies a labor market split. Knowledge-based roles face high risks from AI, while jobs requiring physical skills and empathy remain secure. The study emphasizes AI as a tool for augmentation, urging professionals to adapt and master AI for career resilience.
-
Best AI Browsers: Free Comparison Business Analysis Report
This report analyzes the emerging market for AI browsers, highlighting key opportunities and advancements in technology. Users are moving towards personalized, proactive browsing experiences. Competition is intense among tech giants and startups, focusing on privacy, ethical concerns, and regulatory compliance. The AI browser space is evolving into an essential segment of the AI industry.
-
What is Retrieval Augmented Generation (RAG)? – Examples, Use Cases, No-Code RAG Tools
Retrieval Augmented Generation (RAG) enhances Large Language Models (LLMs) by providing real-time access to external data, improving response accuracy and relevance. RAG reduces hallucinations, facilitates quick updates without retraining, and supports dynamic, contextually aware applications. This approach is vital for areas requiring reliable and current information, such as customer support and finance.
