{"id":25535,"date":"2023-04-18T00:00:00","date_gmt":"2024-09-13T08:49:03","guid":{"rendered":"https:\/\/wordpress-583806-4798031.cloudwaysapps.com\/ai-ml-textbook-case-for-any-it-architect-saab-gripen-e\/"},"modified":"2024-11-15T16:21:06","modified_gmt":"2024-11-15T15:21:06","slug":"ai-ml-textbook-case-for-any-it-architect-saab-gripen-e","status":"publish","type":"post","link":"https:\/\/informator.se\/en\/ai-ml-textbook-case-for-any-it-architect-saab-gripen-e\/","title":{"rendered":"AI\/ML Textbook Case for any IT-architect: Saab Gripen E"},"content":{"rendered":"
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An architect can view a Gripen operating under strict radio silence as a huge \u201cEdge device\u201d with an onboard network of smaller Edge devices, in a skillful mix od Edge patterns. By using machine learning algorithms and making decisions locally at the Edge, Gripen achieves significant savings of energy, time, bandwidth and network footprint.<\/em><\/p>\n\n\n\n

Fast local efficient data processing and decision-making at the edge take much less data transmission and minimize central processing. The architecture improves the total cost-benefit<\/a> ratio (bang for the buck, so to speak).<\/p>\n\n\n\n

Gripen pioneered a modular “software first” architecture <\/em>early on. Over time, its advanced Electronic Warfare System EWS turned out far more cost-efficient and upgradeable than stealth capabilities. According to Jane\u2019s (see diagram), the Gripen has the lowest operational cost<\/a> per flight hour (CPFH) when it comes to fuel usage, pre-flight preparation and repair, scheduled airfield-level maintenance, and associated personnel costs (whereas designing\/fielding stealth aircraft comes at extreme costs plus expensive maintenance to keep it up and running.)<\/p>\n\n\n\n

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     F-35 <\/strong>(bar in white)  CPFH<\/strong>. Source: Jane\u2019s review. <\/em>           Gripen <\/strong>(bar in amber)   <\/p>\n\n\n\n

<\/p>\n\n\n\n

Saab closely monitors Sweden\u2019s needs and rolls-out continuous upgrades<\/a> to meet the latest requirements. Gripen E\u2019s architecture and functional partitioning in flight-\/mission- functionality, simplify rapid upgrades for new capabilities<\/a> as new threats arise and new technologies evolve. This will ensure Gripen E\u2019s continuous operational relevance throughout its life span.<\/p>\n\n\n\n

Substantial investment and foresight made Gripen E\u2019s avionics architecture<\/a> state of the art. It enables rapid insertion of new hardware and updated software for new missions: The computers can be swapped out quickly, to constantly increase processing power. Customer-specific software can be plugged in, to leverage new tech and systems, as threats evolve.<\/p>\n\n\n\n

The Drive summed it up<\/a>: \u201c\u2026offers a well-rounded array of higher-end capabilities in a relatively small, mature, and simpler package\u201d.<\/p>\n\n\n\n

Saab test pilot Marcus summed it up (video above<\/a>): \u201cThe computational power of this aircraft allows for the use of today\u2019s most demanding algorithms such as Deep Learning algorithms and the complex algorithms used for sensor fusion utilizing all the sensors we have in the aircraft and providing synergies from them\u201d.<\/p>\n\n\n\n

Business Insider summed it up<\/a>: \u201cThe “software first” approach has made upgrades easy and affordable compared to the rest of the market, where improvements are notoriously expensive. In particular, the Gripen E should remain an effective air defense platform for a very long time, notwithstanding improvements in stealth technology among Saab’s competitors\u201d.<\/p>\n\n\n\n

I summed it up in this blog<\/a> last month: \u201cA textbook case of the benefits of Edge computing for any IT architect.\u201d In many sectors<\/a> of industry. So, once again, whatever your tech, Keep Edging!<\/p>\n\n\n\n

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Reality, not a saga. The magic of Icelandic skies seen from a Saab Gripen. \u00a9Milan Nykod\u00fdm<\/a>, Czech Air Force.<\/em><\/p>\n\n\n\n

<\/p>\n\n\n\n

Related courses:<\/p>\n\n\n\n

AI, Architecture, and Machine Learning<\/a><\/em><\/em><\/p>\n\n\n\n

Agile Architechture Fundamentals<\/a><\/em><\/p>\n\n\n\n

Agile Modeling with UML<\/a><\/em><\/p>\n\n\n\n

Avancerad objektmodellering med UML<\/a><\/em><\/p>\n\n\n\n

(on demand: <\/em>Modular Product Line Architecture<\/a><\/em> )<\/p>\n<\/span><\/span>\r\n

Milan Kratochvil\u00a0<\/span><\/span><\/h4>\r\n<\/span><\/span><\/div><\/div>","protected":false},"excerpt":{"rendered":"

An architect can view a Gripen operating under strict radio silence as a huge \u201cEdge device\u201d with an onboard network of smaller Edge devices, in a skillful mix od Edge patterns. By using machine learning algorithms and making decisions locally at the Edge, Gripen achieves significant savings of energy, time, bandwidth and network footprint. Fast […]<\/p>\n","protected":false},"author":6,"featured_media":26845,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[571,570,922,582],"tags":[591,737,774,773],"class_list":["post-25535","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-blogg","category-blogi","category-infrastruktur","tag-ai","tag-edge","tag-gripen","tag-it-architecure"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t