BOND May 2025 Trends – Artificial IntelligenceTrends – Artificial Intelligence (AI) May 30, 2025 Mary Meeker / Jay Simons / Daegwon Chae / Alexander Krey2 Context We set out to compile foundational foundational trends related to AI. A starting collection of several disparate datapoints turned into this beast. As soon as we updated one chart, we often had to update another – a data game of whack-a-mole… Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us. The pace and scope of change related to the artificial intelligence technology evolution

AI in the Enterprise Lessons from seven frontier companiesContents A new way to work 3 Executive summary 5 Seven lessons for enterprise AI adoption Start with evals 6 Embed AI into your products models 13 Get AI in the hands of experts 16 Unblock your developers 18 Set bold automation goals 21 Conclusion 22 More resources 24 2 AI in the EnterpriseA new way 
 to work As an AI research and do their best work with sophisticated, complex, interconnected workflows and systems. We’re seeing AI deliver significant, measurable improvements on three fronts: 01 Workforce performance Helping people

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Layers: A New Era for Scalable Analytics, Search, and AI v 1.1Table of Contents Introduction 1. The Interconnection of Analytics, Search, and AI 2. What is a Real-Time Unified Data Layer? 3. Why Do actions, and innovation, higher efficiency, cost savings, and revenue growth powered by data-driven intelligence. For example: FMCG & Manufacturing need real-time production dashboards and historical analytics experiences and ensure performance. 32. The Interconnection of Analytics, Search, and AI Analytics, search, and AI are deeply interconnected in how they process, interpret, and extract value from data

Service Mesh 3. Program-specific artifact repository 4. Runtime Behavior Analysis Artificial Intelligence (AI) service 5. DCAR for the hardened containers 6. Common Vulnerabilities and Exposures

constraints.”Abstract “Most of the big gains in software productivity have come from removing artificial barriers that have made the accidental tasks inordinately hard, such as severe hardware constraints ”Silver bullets? • Ada and other high-level language advances • Object-oriented programming • Artificial intelligence • Expert systems • “Automatic” programming • Graphical programming • Program verification

TensorCore AutocCodeGen and Mixed-Precision Training/Inference PAI (Platform of AD Alibaba Cloud Intelligence Outline 计算平台事业部 。TensorCore AutoCodeGen 计算平台事业 。TensorCore 。A revolutionary technology that delivers groundbreaking AI performance. 。 Performs /mxeo-Drecsion matrix multiply and accumulate in a single operation. Background

highly valued than salary  Embraces and addresses conflict (Crucial conversations, Positive Intelligence, HTWFIP)Agile for Defense Agile Coaching by Darin Plum Aug 6, 2014 2 Books 1. “Good Patterson, Grenny, McMillan, and Switzler 5. “Coaching Agile Teams” by Lyssa Adkins 6. “Positive Intelligence” by Shirzad Chamine “Coaching Agile Teams” by Lyssa Adkins

1驱动万物智能 AliOs overview 。 AliOs (www.alios.cn) is a newly designed to drive everything toward intelligence. The Alios is running in vehicles, Phone, Pad and loT terminals. Provide cloud and devices co-related