 Trends Artificial Intelligence
AI Will Likely Do in Ten Years, per ChatGPT Source: ChatGPT (5/15/25) AI = Circa 2035?36 AI Development Trending = Unprecedented37 Machine-Learning Model* Trending = In 2015... Industry Surpassed Academia Models by Sector – 2003-2024, per Stanford HAI Annual New Notable Machine-Learning Models AI Development Trending = Unprecedented38 AI Developer Growth (NVIDIA Ecosystem as Proxy) = +6x to 6MM Developers to reach 2 million.’ Source: NVIDIA blog posts, press releases, & company overviews +6x AI Development Trending = Unprecedented Global Developers in NVIDIA Ecosystem (MM) – 2005-2025, Per NVIDIA390 码力 | 340 页 | 12.14 MB | 4 月前3 Trends Artificial Intelligence
AI Will Likely Do in Ten Years, per ChatGPT Source: ChatGPT (5/15/25) AI = Circa 2035?36 AI Development Trending = Unprecedented37 Machine-Learning Model* Trending = In 2015... Industry Surpassed Academia Models by Sector – 2003-2024, per Stanford HAI Annual New Notable Machine-Learning Models AI Development Trending = Unprecedented38 AI Developer Growth (NVIDIA Ecosystem as Proxy) = +6x to 6MM Developers to reach 2 million.’ Source: NVIDIA blog posts, press releases, & company overviews +6x AI Development Trending = Unprecedented Global Developers in NVIDIA Ecosystem (MM) – 2005-2025, Per NVIDIA390 码力 | 340 页 | 12.14 MB | 4 月前3
 Real-Time Unified Data Layers:
A New Era for Scalable Analytics,
Search, and AIactionable insights—instantly. Faster Time to Value: Faster decisions, actions, and innovation, higher efficiency, cost savings, and revenue growth powered by data-driven intelligence. For example: FMCG & Manufacturing performance, and warehouse operations to optimize delivery times, reduce costs, and improve supply chain efficiency. Retail companies need real-time inventory tracking, personalized customer experiences, and demand information, enhancing discoverability, accelerating decision-making, and improving operational efficiency. AI acts as the intelligence layer, optimizing both search and analytics by making them faster0 码力 | 10 页 | 2.82 MB | 5 月前3 Real-Time Unified Data Layers:
A New Era for Scalable Analytics,
Search, and AIactionable insights—instantly. Faster Time to Value: Faster decisions, actions, and innovation, higher efficiency, cost savings, and revenue growth powered by data-driven intelligence. For example: FMCG & Manufacturing performance, and warehouse operations to optimize delivery times, reduce costs, and improve supply chain efficiency. Retail companies need real-time inventory tracking, personalized customer experiences, and demand information, enhancing discoverability, accelerating decision-making, and improving operational efficiency. AI acts as the intelligence layer, optimizing both search and analytics by making them faster0 码力 | 10 页 | 2.82 MB | 5 月前3
 OpenAI - AI in the Enterprisevalue faster and with greater buy-in from users and stakeholders. Our approach: iterative development OpenAI is organized around three teams. Our Research Team advances the foundations of AI, developing are best-placed to improve it with AI. 06 Unblock your developers Automating the software development lifecycle can multiply AI dividends. 07 Set bold automation goals Most processes involve scale up to significant business impact. But scaling up also meant using more tokens. To increase efficiency, OpenAI and Indeed worked together to fine-tune a smaller GPT model that was able to deliver0 码力 | 25 页 | 9.48 MB | 5 月前3 OpenAI - AI in the Enterprisevalue faster and with greater buy-in from users and stakeholders. Our approach: iterative development OpenAI is organized around three teams. Our Research Team advances the foundations of AI, developing are best-placed to improve it with AI. 06 Unblock your developers Automating the software development lifecycle can multiply AI dividends. 07 Set bold automation goals Most processes involve scale up to significant business impact. But scaling up also meant using more tokens. To increase efficiency, OpenAI and Indeed worked together to fine-tune a smaller GPT model that was able to deliver0 码力 | 25 页 | 9.48 MB | 5 月前3
 A Seat at the Table: IT Leadership in the Age of Agility - Part 2predictability, control, and efficiency, the key values of the contractor-control model. But it doesn’t. Requirements: Requirements are a way of controlling the development team by constraining their changes to the whole ball of EA.  It has a robust, automated regression test suite, so that new development does not cause expensive break-fix activity.  It has good monitoring tools in place.  It is it. This obvious fact is neat, plausible, and in most cases, wrong. The economics of software development have changed: Changed in a way that now favors “building” over “buying.” There are now ways of0 码力 | 7 页 | 387.61 KB | 5 月前3 A Seat at the Table: IT Leadership in the Age of Agility - Part 2predictability, control, and efficiency, the key values of the contractor-control model. But it doesn’t. Requirements: Requirements are a way of controlling the development team by constraining their changes to the whole ball of EA.  It has a robust, automated regression test suite, so that new development does not cause expensive break-fix activity.  It has good monitoring tools in place.  It is it. This obvious fact is neat, plausible, and in most cases, wrong. The economics of software development have changed: Changed in a way that now favors “building” over “buying.” There are now ways of0 码力 | 7 页 | 387.61 KB | 5 月前3
 MITRE Defense Agile Acquisition Guide - Mar 2014technologies and operations, including the challenges associated with information assurance. Agile development practices can help the DoD to transform IT acquisition by delivering capabilities faster and responding in an increasingly complex environment. Agile has emerged as the leading industry software development methodology, and has seen growing adoption across the DoD and other federal agencies. Agile practices tailoring program structures and acquisition processes to the program characteristics. Agile development can achieve these objectives through:  Focusing on small, frequent capability releases 0 码力 | 74 页 | 3.57 MB | 5 月前3 MITRE Defense Agile Acquisition Guide - Mar 2014technologies and operations, including the challenges associated with information assurance. Agile development practices can help the DoD to transform IT acquisition by delivering capabilities faster and responding in an increasingly complex environment. Agile has emerged as the leading industry software development methodology, and has seen growing adoption across the DoD and other federal agencies. Agile practices tailoring program structures and acquisition processes to the program characteristics. Agile development can achieve these objectives through:  Focusing on small, frequent capability releases 0 码力 | 74 页 | 3.57 MB | 5 月前3
 The Goal - A Process of Ongoing Improvementtells Jonah about how his plant just installed new robots. Alex tells Jonah the robots increased efficiency by 36%. Jonah starts asking questions: So your company is making 36% more money? No Was your opportunities for higher fluctuations. What are examples of this in your own organization? Development? QA?Two types of resources ● Bottleneck - any resource whose capacity is equal to or less than0 码力 | 6 页 | 100.81 KB | 5 月前3 The Goal - A Process of Ongoing Improvementtells Jonah about how his plant just installed new robots. Alex tells Jonah the robots increased efficiency by 36%. Jonah starts asking questions: So your company is making 36% more money? No Was your opportunities for higher fluctuations. What are examples of this in your own organization? Development? QA?Two types of resources ● Bottleneck - any resource whose capacity is equal to or less than0 码力 | 6 页 | 100.81 KB | 5 月前3
 julia 1.10.10because of a strong focus on performance from the inception of the project, Julia's computational efficiency exceeds that of other dynamic languages, and even rivals that of statically-compiled languages Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 1692 页 | 6.34 MB | 3 月前3 julia 1.10.10because of a strong focus on performance from the inception of the project, Julia's computational efficiency exceeds that of other dynamic languages, and even rivals that of statically-compiled languages Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 1692 页 | 6.34 MB | 3 月前3
 Julia 1.10.9because of a strong focus on performance from the inception of the project, Julia's computational efficiency exceeds that of other dynamic languages, and even rivals that of statically-compiled languages Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 1692 页 | 6.34 MB | 3 月前3 Julia 1.10.9because of a strong focus on performance from the inception of the project, Julia's computational efficiency exceeds that of other dynamic languages, and even rivals that of statically-compiled languages Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 1692 页 | 6.34 MB | 3 月前3
 Julia 1.11.4because of a strong focus on performance from the inception of the project, Julia's computational efficiency exceedsCHAPTER 1. JULIA 1.11 DOCUMENTATION 4 that of other dynamic languages, and even rivals Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 2007 页 | 6.73 MB | 3 月前3 Julia 1.11.4because of a strong focus on performance from the inception of the project, Julia's computational efficiency exceedsCHAPTER 1. JULIA 1.11 DOCUMENTATION 4 that of other dynamic languages, and even rivals Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 2007 页 | 6.73 MB | 3 月前3
 Julia 1.11.5 Documentationbecause of a strong focus on performance from the inception of the project, Julia's computational efficiency exceedsCHAPTER 1. JULIA 1.11 DOCUMENTATION 4 that of other dynamic languages, and even rivals Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 2007 页 | 6.73 MB | 3 月前3 Julia 1.11.5 Documentationbecause of a strong focus on performance from the inception of the project, Julia's computational efficiency exceedsCHAPTER 1. JULIA 1.11 DOCUMENTATION 4 that of other dynamic languages, and even rivals Advantages of Julia Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single lan- guage. In addition to the above, some advantages of Julia over comparable systems and cos loops cannot be merged because of the intervening sort function. Finally, the maximum efficiency is typically achieved when the output array of a vectorized operation is pre-allocated, so that0 码力 | 2007 页 | 6.73 MB | 3 月前3
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