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 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

DoD’s IT acquisition challenges, but offers a set of principles that can help reduce cycle times and risks to deliver IT in a complex environment. “The US joint force will be smaller and leaner. But its Program supports a critical mission in which defects may result in loss of life or high security risks. Industry has relevant domain experience and Agile development expertise. Developer Expertise must determine the optimal timelines for releases and sprints on the basis of various constraints, risks, and factors. The primary drivers include how frequently the operational community wants and can

waiting to apply each skill set sequentially.  Security risks of the underlying infrastructure must be measured and quantified, so that the total risks and impacts to software applications are understood 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 (CVE)Service

environment. Helps identify compensatory behaviors and workarounds driven by un/usability ii. Same benefits applies with internal customers (infrastructure, operations, etc.) iii. Gene Kim – “One of the requests – sufficient detail on why the change is made, how the change was made, and identified risks and resulting countermeasures j. FEARLESSLY CUT BUREAUCRATIC PROCESSES i. Adrian Cockcroft – “A

process involve project sponsors (1) developing a formal proposal that incorporates estimated benefits, risks, and resource requirements and (2) submitting the proposal to decision makers who select

transformation, when we see them as tightly integrated into an EA, and when we realize that the costs and risks of custom development have been radically reduced, the economics often now favor custom development potential risks, actively working to prevent them, and, if necessary, building slack into the plan to manage the potential impact of the risk on schedule.  Such an approach assumes that the risks are bounded bounded and can be itemized, that we can know the risks in advance, and that we have a way to (try to) control them.  The relationship between uncertainty, risk, and change is far too complicated for