information during the development process. User Story – Description of functionality a user wants, small enough to complete in a single sprint Epic – A large user story often defined for a release that spans of user stories or epics that may span multiple releases Teams often capture requirements in user stories and epics to provide a clear operational perspective of the capability’s purpose. User stories completed. Epics are aggregations of user stories, often used to capture strategic intent. Epics may span multiple sprints and form a release, while user stories should be implemented within a single

maintain a big picture, long-term view and focus on the next six-month release.  DO epics and user stories to concisely define the desired system functions and provide the foundation for Agile estimation estimation and planning. o They describe what the users want to accomplish with the resulting system. User stories help ensure that users, acquirers, developers, testers, and other stakeholders have a clear established to help estimate the level of work for each requirement (i.e., as translated into user stories)

of rote work, ripe for automation. Aim high. Let’s drill down into each of these, with customer stories as examples. 5 AI in the EnterpriseLesson 1 Start with evals How Morgan Stanley iterated to ensure such as: Automating software testing and QA using Operator to interact with web apps 
 like a real user, flagging any UI issues. Updating systems of record on behalf of users, without technical instructions the OpenAI Security Portal. 23 AI in the EnterpriseMore resources OpenAI for Business OpenAI Stories ChatGPT Enterprise OpenAI and Safety API Platform OpenAI is an AI research and deployment

of buying off the shelf.  The risk of developing a system incrementally and altering it based on user feedback is often lower than that of buying a finished product that is hard to change.  The advantages product that does not fit our business and customize it until it does.  We offer our business users a user interface that is clunky because it was designed for users in the abstract across many possible companies get feedback, and then adjust what they have produced. As a result, the code can be developed in a user-centric way and match the enterprise’s needs precisely. Risk is low, because the team is constantly

operations will derive NFRs. Codify these into the tests and pipeline f. BUILD REUSABLE OPERATIONS USER STORIES INTO DEVELOPMENT i. Goal – make recurring work as repeatable and deterministic as possible;

world 5 3 Threads and WSGI 7 4 asyncio Integration 9 5 Installation 11 6 Documentation 13 6.1 User’s guide . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . for long polling, WebSockets, and other applications that require a long-lived connection to each user. CONTENTS 1Tornado Documentation, Release 6.5.1 2 CONTENTSCHAPTER ONE QUICK LINKS • Current version: frameworks. It is not based on WSGI, and it is typically run with only one thread per process. See the User’s guide for more on Tornado’s approach to asynchronous programming. While some support of WSGI is

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 scope technology evolution is indeed unprecedented, as supported by the data. This document is filled with user, usage and revenue charts that go up-and-to-the-right… often supported by spending charts that also freedom with the November 2022 launch of OpenAI’s ChatGPT with its extremely easy-to-use / speedy user interface. In addition, relatively new AI company founders have been especially aggressive about

wikipedia.org/wiki/WebSocket], and other applications that require a long-lived connection to each user. Quick links Current version: 6.5.1 (download from PyPI [https://pypi.python.org/pypi/tornado], [https://wsgi.readthedocs.io/en/latest/], and it is typically run with only one thread per process. See the User’s guide for more on Tornado’s approach to asynchronous programming. While some support of WSGI is is also available in PDF and Epub formats [https://readthedocs.org/projects/tornado/downloads/]. User’s guide Introduction Asynchronous and non-Blocking I/O Coroutines Queue example - a concurrent web

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that object-oriented dispatch. Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that object-oriented dispatch. Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized