GITOPS EXPLAINED: CONCEPTS, BENEFITS & GETTING STARTED DevOps has changed the way we develop and manage applications, resulting in faster, more consistent, more collaborative development cycles. It has quickly. Benefits of GitOps approach GitOps enables organizations to streamline their infrastructure provisioning and application deployment strategies. This leads to an extensive range of benefits/ Ease However, we have to properly implement GitOps as a part of the delivery pipeline to gain all the above benefits. In the next section, we’ll at how to implement a GitOps workflow properly. How to implement GitOps

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

C++: string_view: Deep dive Jasmine Lopez Prithvi Okade 1Topics • Motivation • Performance benefits & basics • string_view: Constructors, useful functions • string vs. string_view and their interoperability '\n'; } hello hello hello Apart from this convenience, string_view also provides performance benefits which we will see shortly.Basics • string_view does not allocate any memory. • It consists of sv{pchar + 1, 2}; puts(sv.data()); ello Don’t do this when you are using string_view 6Performance benefits • The fact that string_view does not allocate memory can be used to gain performance in some

`University of Massachusetts Amherst Powered by AI:
 A Cambrian Explosion
 for C++ Software Development Tools Emery BergerCretaceous–Paleogene (K-Pg) extinction eventCretaceous–Paleogene (K-Pg) extinction ALLOCATED MEMORY USAGE GPU UTIL %, PEAK MEMORY (MB/s) MEMORY PYTHON NATIVE AI-powered optimizations!AI-powered optimizations... COMING SOON!evolveevolve profiler that suggests optimizationsevolve

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 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 information, enhancing discoverability, accelerating decision-making, and improving operational efficiency. AI acts as the intelligence layer, optimizing both search and analytics by making them faster, smarter

IntelligenceTrends – Artificial Intelligence (AI) May 30, 2025 Mary Meeker / Jay Simons / Daegwon Chae / Alexander Krey2 Context We set out to compile foundational trends related to AI. A starting collection of several ’ At the time, the pace of change catalyzed by the internet was unprecedented. Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us. The pace and OpenAI’s ChatGPT with its extremely easy-to-use / speedy user interface. In addition, relatively new AI company founders have been especially aggressive about innovation / product releases / investments

data privacy risks (for example, preventing system prompt leaks) or reputational risks (for example, enforcing brand aligned model behavior). 
 You can set up guardrails that address risks you’ve already that 
 could harm your brand’s integrity. Building guardrails Set up guardrails that address the risks you’ve already identified for your use case and layer in additional ones as you uncover new vulnerabilities OpenAI and Safety Developer Docs OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. 33 A practical guide to building

on data semantics, which provides �→ more relevant search results. As one of the core functions of AI and �→ large language models (LLMs), vector search can be used in various �→ scenarios such as Retrieval-Augmented service �→ enabled AWS EC2 �→ now uses IMDSv2 as based on data semantics, which provides more relevant search results. As one of the core functions of AI and large language models (LLMs), vector search can be used in various scenarios such as Retrieval-Augmented

on data semantics, which provides �→ more relevant search results. As one of the core functions of AI and �→ large language models (LLMs), vector search can be used in various �→ scenarios such as Retrieval-Augmented service �→ enabled AWS EC2 �→ now uses IMDSv2 as based on data semantics, which provides more relevant search results. As one of the core functions of AI and large language models (LLMs), vector search can be used in various scenarios such as Retrieval-Augmented

CDR Carrier Healthcare Receipt images Unstructured data production service Semiconductor EDA AI quality inspection R&D PDM Reservoir simulation and analysis NAs 16K 5% Live network EDA: Metadata of cloud service containers, covering hybrid deployment of web services, databases, big data, and AI. It helps customers in industries such as Internet and communications achieve a data center resource application ecosystem. Consider the example of smart manufacturing. Such integration of big data, AI, robotic control, and device-cloud collaboration systems can deliver automated production, network-based