Trends Artificial Intelligence
= Fast + Data-Driven 6 A Ride Share vs. Autonomous Taxi Provider, San Francisco Operating Zone Market Share Source: YipitData (4/25) Global Internet User Ramps Powered by AI from Get-Go = Growth We layers: research, data acquisition and hosting, and a mix of salaries, general overhead, and go-to-market operations. Even as the cost to train models climbs, a growing share of total AI spend is shifting unprecedented… We have never seen so many founder-driven / assisted (ex. Apple) companies* with market capitalizations in excess of $1 trillion – most with gross margins of +50% plus free cash flow –0 码力 | 340 页 | 12.14 MB | 5 月前3
The DevOps Handbookadopters d. EXPANDING DEVOPS ACROSS OUR ORGANIZATION i. As we generate success, we earn the right to expand the scope of the DevOps Initiative 1. Find Innovators & Early Adopters2. Build Critical Mass & reducing cost ii. Matrixed-oriented 1. Combines functional and market orientation 2. Often results in complicated structures iii. Market-oriented 1. Optimized for responding quickly to customer needs visibility ii. Encourages long queues and long lead times iii. Poor handoffs and large rework d. ENABLE MARKET-ORIENTED TEAMS (“OPTIMIZING FOR SPEED”) i. Goal of many small teams working safely and independently0 码力 | 8 页 | 22.57 KB | 6 月前3
TIDB The Large Scale Relational Database SolutionJapanese) database solution of this kind is particularly attractive and to an extent an anomaly in a market that leans very heavily on the community. It also features custom tuned tools for a range of services serve a specific market. It is important to note that merely based on its scalability and its ability to process at speed TiDB is not particularly novel, other options in the market provide fairly similar similar features in this particular respect (Vitess and CRDB). It is instead a combination of these market-defining focuses and additional features that set TiDB as a truly attractive product for its target0 码力 | 12 页 | 5.61 MB | 6 月前3
When Nanoseconds Matter: Ultrafast Trading Systems in C++com>Introduction 2 • About me - Leading the Options Automated Trading Systems team at Optiver, a global market maker company - Worked on low-latency systems for 15 years in Trading and DefenseIntroduction 3 3 • About me - Leading the Options Automated Trading Systems team at Optiver, a global market maker company - Worked on low-latency systems for 15 years in Trading and Defense • Today’s talk - Engineering (IMF)Market Making “There is no silver bullet that will help you beat the market. Successful trading is a losers’ game: it is about being consistently good at everything.” Charles D. Ellis 7Market Making0 码力 | 123 页 | 5.89 MB | 6 月前3
A Seat at the Table: IT Leadership in the Age of Agility - Part 2as all strategic management is an art. Just as the CMO must sense market opportunities, weigh tactics for communicating with that market and encouraging it to purchase, and manage creative talent to present cost us to design and produce it? Will our competitors launch a competing product? Will our market be wiped out in a dramatic fireball from space, or will the Four Horsemen ride in just as we start The more advance planning we do, the longer it takes to get a product to market; the longer it takes to get a product to market, the more risk we assume. our governance decisions would not be based0 码力 | 7 页 | 387.61 KB | 6 月前3
Improving Our Safety With a Quantities and Units Libraryan interface? NO UNITS LIBRARY USING A TYPICAL UNITS LIBRARY Nearly none of the libraries on the market guarantee type safety for different quantities of the same kind. 72CppCon 2024: Improving our safety units library What should be the result of the following equation? 90Most of the libraries on the market happily allow such operations and provide incorrect results. CppCon 2024: Improving our safety with quantities and units library It is not only about hertz and becquerel 91Most of the libraries on the market happily allow such operations and provide incorrect results. quantityq = 42 * Sv; 0 码力 | 207 页 | 6.93 MB | 6 月前3
Predictably Irrationalprevail, and the other where market norms make the rules.” o “once market norms enter our considerations, the social norms depart” o “when a social norm collides with a market norm, the social norm goes0 码力 | 3 页 | 234.46 KB | 6 月前3
Behavior-driven Tests for Microservices-based Algo Trading Systemare especially important for algo tests since certain algo behaviors require hard-to-produce market/timing conditions to trigger. Thus a test framework is proposed to address these pain points: algo behavior. ● Controlled external dependencies : All external dependencies including market data, reference data, exchange/executions, time, etc. are mocked and controlled to simulate0 码力 | 1 页 | 65.24 KB | 6 月前3
The Goal - A Process of Ongoing Improvementtechnology? Producing products? Producing high quality products? Selling quality products? Capturing market share? After much reflection, Alex realizes: The goal of a manufacturing organization is to get their orders faster. With shorter lead times, we can respond faster. If we can respond to the market faster, we get an advantage in the marketplace. Process of on-going improvement “Everywhere,0 码力 | 6 页 | 100.81 KB | 6 月前3
MITRE Defense Agile Acquisition Guide - Mar 2014(IDIQ) contract and can also provide opportunities for innovative small businesses to enter the DoD market. 9.4 Risk Management Risk management is integral to effective program management and systems is the level of integration risk if multiple contractors conduct parallel developments? Did market research identify available qualified contractors with Agile and domain experience? Is an Agile Acquisition Strategy66 dependent on Intelligence Mission Data) and LCSP (Business Case for DBS) Market Research MAIS & ACAT III Address in Acquisition Strategy and LCSP (Business Case for DBS))0 码力 | 74 页 | 3.57 MB | 6 月前3
共 136 条
- 1
- 2
- 3
- 4
- 5
- 6
- 14
相关搜索词
TrendsArtificialIntelligenceTheDevOpsHandbookTIDBLargeScaleRelationalDatabaseSolutionWhenNanosecondsMatterUltrafastTradingSystemsinC++SeatattheTableITLeadershipAgeofAgilityPartImprovingOurSafetyWithQuantitiesandUnitsLibraryPredictablyIrrationalBehaviordrivenTestsforMicroservicesbasedAlgoSystemGoalProcessOngoingImprovementMITREDefenseAgileAcquisitionGuideMar2014













