美股詳情

本頁面由Tiger Trade Technology Pte. Ltd.提供服務

DXC Technology Company

10.63

-0.1700-1.57%

盤後：10.630.00000.00%16:23 EDT

成交量：228.02萬

成交額：2,443.53萬

市值：17.01億

市盈率：14.36

高：10.92

開：10.86

低：10.61

收：10.80

52周最高：15.68

52周最低：7.90

股本：1.60億

流通股本：1.56億

量比：0.98

換手率：1.47%

股息：- -

股息率：- -

每股收益(TTM):0.7400

每股收益(LYR):0.1000

淨資產收益率：4.02%

總資產收益率：1.83%

市淨率：0.56

市盈率(LYR):106.30

資料載入中...

總覽公司新聞資訊公告

DXC 憑藉 DXC Workplace Services 開啓辦公新時代

DXC 與 Primary 推出 AI 原生零信任平台，助力企業安全規模化部署 AI

DXC 任命 Lisa Beaudoin 為首席產品官，以加速產品驅動型增長

DXC 宣佈領導層任命 | DXC 宣佈領導層任命以加速構建以 AI 為中心的未來

美國研究綜述-蘋果、亞馬遜、萬事達卡

DXC 和 ElevenLabs 宣佈達成戰略合作，規模化部署企業級 AI 和語音創新

DXC 任命 Holly Grant 為 LabX 總裁，強化該部門作為核心 AI 增長引擎的角色

財報前瞻｜DXC Technology Company本季度營收預計降3.42%，機構觀點偏謹慎

DXC與Wilton Re二十年合作再添里程碑：40萬份保單成功上雲

DXC在班加羅爾開設旗艦級AI優先客户體驗中心

DXC推出DXC Private Cloud+，為企業雲賦予更強管控力、安全性與靈活度

DXC在里程碑式知識產權盜竊案中從TCS處收回$213,560,494.98

美國最高法院駁回上訴後，印度TCS將蒙受7000萬美元損失

美國最高法院駁回塔塔公司對商業秘密案中1.68億美元賠償裁決的上訴

美國最高法院駁回了梅西百貨關於向被解僱的罷工員工支付補償金的申訴

美國最高法院拒絕審理塔塔公司請求，維持其在商業秘密糾紛中1.68億美元損失裁決

DXC與Anthropic宣佈達成多年期全球聯盟，將AI引入任務關鍵型企業系統

熱門話題-DXC Technology因與Anthropic的合作而獲益

DXC與Anthropic宣佈達成多年全球聯盟，將AI引入關鍵任務企業系統

DXC藉助DXC OASIS精簡和強化If在北歐地區的技術架構

{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"老虎证券全球投资理财平台| 一站式投资美股新股港股A股","description":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","keywords":"老虎證券,老虎證券開戶,老虎券商,老虎證券官網,老虎證券app,tigertrade老虎證券,股票,炒股,新加坡股票交易平臺,投資,投資理財","social":{"ogDescription":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.0a0bd8dc.png","ogUrl":"https://www.itiger.com/hant/stock/DXC/news"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"DXC","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"DXC\",,,,,undefined,":{"symbol":"DXC","market":"US","secType":"STK","nameCN":"DXC Technology Company","latestPrice":10.63,"timestamp":1787601600000,"preClose":10.8,"halted":0,"volume":2280237,"hourTrading":{"tag":"盘后","latestPrice":10.63,"preClose":10.63,"latestTime":"16:23 EDT","volume":347614,"amount":3695137.5152279995,"timestamp":1787603039949,"change":0,"changeRate":0,"amplitude":0.018815},"delay":0,"changeRate":-0.015740740740740732,"floatShares":155540729,"shares":160000000,"eps":0.74,"marketStatus":"盤後交易","change":-0.17,"latestTime":"08-24 18:21:59 EDT","open":10.86,"high":10.915,"low":10.61,"amount":24435285,"amplitude":0.028241,"askPrice":10.8,"askSize":200,"bidPrice":10.57,"bidSize":400,"shortable":3,"etf":0,"ttmEps":0.74,"tradingStatus":3,"nextMarketStatus":{"tag":"收盤","tradingStatus":0,"beginTime":1787616000000},"marketStatusCode":4,"adr":0,"adrRate":0,"exchange":"NYSE","adjPreClose":10.8,"postHourTrading":{"tag":"盘后","latestPrice":10.63,"preClose":10.63,"latestTime":"16:23 EDT","volume":347614,"amount":3695137.5152279995,"timestamp":1787603039949,"change":0,"changeRate":0,"amplitude":0.018815},"volumeRatio":0.979698,"impliedVol":0.5812,"impliedVolPercentile":0.6614},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"DXC\",,,,,undefined,":{"symbol":"DXC","floatShares":155540729,"roa":"1.83%","roe":"4.02%","lyrEps":0.1,"volumeRatio":0.979698,"shares":160000000,"dividePrice":0,"high":10.915,"amplitude":0.028241,"preClose":10.8,"low":10.61,"week52Low":7.9001,"pbRate":"0.56","psRate":"0.14","week52High":15.68,"institutionHeld":0,"latestPrice":10.63,"committee":0.333333,"eps":0.74,"divideRate":0,"volume":2280237,"delay":0,"ttmEps":0.74,"open":10.86,"prevYearClose":14.65,"prevWeekClose":10.8,"prevMonthClose":11.24,"prevQuarterClose":8.85,"fiveDayClose":10.39,"twentyDayClose":10.36,"sixtyDayClose":9.27,"dividendPayoutRate":0.16780464712890666,"dividendGrowthYears":2,"dividendGrowthRate":0.1052631578947368,"fiveYearAvgDividendRate":0.025717181356685926},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/DXC\",params:#limit:5,,,undefined,":[{"date":"2026-07-30","symbol":"DXC","type":"earning","reportTimeType":"post","market":"US","fiscalQuarterEnding":"2026/06","expectedEps":0.42,"defaultRemindTime":1785441600000,"name":null,"time":"盤後","dateTimestamp":1785384000000,"actualEps":null},{"market":"US","date":"2026-05-07","symbol":"DXC","fiscalQuarterEnding":"2026/03","expectedEps":0.74,"name":null,"time":"盤後","type":"earning","dateTimestamp":1778126400000,"reportTimeType":"post","actualEps":0.77},{"market":"US","date":"2026-01-29","symbol":"DXC","fiscalQuarterEnding":"2025/12","expectedEps":0.85,"name":null,"time":"盤後","type":"earning","dateTimestamp":1769662800000,"reportTimeType":"post","actualEps":0.96},{"market":"US","date":"2025-10-30","symbol":"DXC","fiscalQuarterEnding":"2025/09","expectedEps":0.71,"name":null,"time":"盤後","type":"earning","dateTimestamp":1761796800000,"reportTimeType":"post","actualEps":0.84},{"market":"US","date":"2025-07-31","symbol":"DXC","fiscalQuarterEnding":"2025/06","expectedEps":0.64,"name":null,"time":"盤後","type":"earning","dateTimestamp":1753934400000,"reportTimeType":"post","actualEps":0.68}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"DXC\",market:\"US\",,,undefined,":[{"executeDate":"2017-06-09","recordDate":"2017-06-13","paymentDate":"2017-07-11","value":0.18,"currency":"USD"},{"executeDate":"2017-09-01","recordDate":"2017-09-06","paymentDate":"2017-10-11","value":0.18,"currency":"USD"},{"executeDate":"2017-12-05","recordDate":"2017-12-06","paymentDate":"2018-01-16","value":0.18,"currency":"USD"},{"executeDate":"2018-03-27","recordDate":"2018-03-28","paymentDate":"2018-04-17","value":0.18,"currency":"USD"},{"executeDate":"2018-06-05","recordDate":"2018-06-06","paymentDate":"2018-07-17","value":0.19,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"DXC\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0,"buy":0,"hold":0.8,"sell":0.2,"strongSell":0,"meanLabel":"HOLD","meanPercent":0.8,"analysts":10,"updateTime":1784952000000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/DXC\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"DXC","date":"2026-08-21","current":14.574324,"percent":0.722086,"low":-54.572849,"twenty":-8.154851,"median":7.170771,"eighty":26.169382,"high":172.199543,"avg":15.585712,"sd":40.568799,"marketCap":1709631972},"quantilePoints":[{"date":"2021-08-27","current":28.169531,"twenty":-2.400831,"median":10.890232,"eighty":54.103382,"marketCap":9408623438},{"date":"2021-09-03","current":27.16644,"twenty":-2.400831,"median":10.890232,"eighty":53.906642,"marketCap":9073590796},{"date":"2021-09-10","current":25.922002,"twenty":-2.400831,"median":10.890232,"eighty":53.69585,"marketCap":8657948797},{"date":"2021-09-17","current":27.121187,"twenty":-2.400831,"median":10.890232,"eighty":53.49911,"marketCap":9058476542},{"date":"2021-09-24","current":26.344357,"twenty":-2.400831,"median":10.890232,"eighty":53.316424,"marketCap":8799015173},{"date":"2021-10-01","current":26.193516,"twenty":-2.400831,"median":10.890232,"eighty":52.972129,"marketCap":8748634324},{"date":"2021-10-08","current":25.906918,"twenty":-2.400831,"median":10.890232,"eighty":52.550545,"marketCap":8652910712},{"date":"2021-10-15","current":26.336815,"twenty":-2.400831,"median":10.890232,"eighty":32.284104,"marketCap":8796496130},{"date":"2021-10-22","current":26.072843,"twenty":-2.400831,"median":10.890232,"eighty":30.990255,"marketCap":8708329645},{"date":"2021-10-29","current":24.564435,"twenty":-2.400831,"median":10.890232,"eighty":29.202791,"marketCap":8204521161},{"date":"2021-11-05","current":22.203483,"twenty":-2.400831,"median":10.890232,"eighty":28.661916,"marketCap":8659358553},{"date":"2021-11-12","current":21.563185,"twenty":-2.400831,"median":10.890232,"eighty":28.579743,"marketCap":8409642125},{"date":"2021-11-19","current":20.289056,"twenty":-2.400831,"median":10.890232,"eighty":28.486614,"marketCap":7912731657},{"date":"2021-11-26","current":19.726369,"twenty":-2.400831,"median":10.890232,"eighty":28.379789,"marketCap":7693283888},{"date":"2021-12-03","current":19.525871,"twenty":-2.400831,"median":10.890232,"eighty":28.251051,"marketCap":7615089855},{"date":"2021-12-10","current":19.959205,"twenty":-2.400831,"median":10.890232,"eighty":28.169531,"marketCap":7784089861},{"date":"2021-12-17","current":19.810449,"twenty":-2.400831,"median":10.890232,"eighty":28.083966,"marketCap":7726074934},{"date":"2021-12-23","current":21.065175,"twenty":-2.400831,"median":10.890232,"eighty":27.974402,"marketCap":8215418237},{"date":"2021-12-31","current":20.819404,"twenty":-2.400831,"median":10.890232,"eighty":27.88949,"marketCap":8119567487},{"date":"2022-01-07","current":21.563185,"twenty":-2.398611,"median":10.9077,"eighty":27.763246,"marketCap":8409642125},{"date":"2022-01-14","current":21.983583,"twenty":-2.398611,"median":10.9077,"eighty":27.691727,"marketCap":8573597355},{"date":"2022-01-21","current":19.75224,"twenty":-2.398611,"median":10.9077,"eighty":27.654476,"marketCap":7703373440},{"date":"2022-01-28","current":19.183085,"twenty":-2.398611,"median":10.9077,"eighty":27.594216,"marketCap":7481403282},{"date":"2022-02-04","current":-14.440226,"twenty":-2.426838,"median":10.826887,"eighty":27.449044,"marketCap":8808537692},{"date":"2022-02-11","current":-14.76486,"twenty":-2.446285,"median":10.709505,"eighty":27.449044,"marketCap":9006564767},{"date":"2022-02-18","current":-14.275905,"twenty":-2.500417,"median":10.538768,"eighty":27.449044,"marketCap":8708301765},{"date":"2022-02-25","current":-14.239834,"twenty":-2.512469,"median":10.334439,"eighty":27.449044,"marketCap":8686298756},{"date":"2022-03-04","current":-12.023502,"twenty":-2.537889,"median":10.146072,"eighty":27.449044,"marketCap":7334336130},{"date":"2022-03-11","current":-12.247941,"twenty":-2.569172,"median":9.878644,"eighty":27.449044,"marketCap":7471243737},{"date":"2022-03-18","current":-13.306009,"twenty":-2.603522,"median":9.732872,"eighty":27.449044,"marketCap":8116665317},{"date":"2022-03-25","current":-13.442275,"twenty":-2.64511,"median":9.570366,"eighty":27.449044,"marketCap":8199787793},{"date":"2022-04-01","current":-12.564559,"twenty":-2.737012,"median":9.49098,"eighty":27.449044,"marketCap":7664381255},{"date":"2022-04-08","current":-12.308058,"twenty":-2.787474,"median":9.431186,"eighty":27.415626,"marketCap":7507915418},{"date":"2022-04-14","current":-12.524481,"twenty":-2.798905,"median":9.381619,"eighty":27.363291,"marketCap":7639933468},{"date":"2022-04-22","current":-11.795055,"twenty":-2.830591,"median":9.352959,"eighty":27.173982,"marketCap":7194983743},{"date":"2022-04-29","current":-11.502483,"twenty":-2.849556,"median":9.230777,"eighty":26.988447,"marketCap":7016514897},{"date":"2022-05-06","current":-11.791047,"twenty":-2.862226,"median":9.106333,"eighty":26.736543,"marketCap":7192538964},{"date":"2022-05-13","current":-11.891243,"twenty":-2.985619,"median":8.906467,"eighty":26.579396,"marketCap":7253658432},{"date":"2022-05-20","current":-11.863188,"twenty":-3.024355,"median":8.766184,"eighty":26.350391,"marketCap":7236544981},{"date":"2022-05-27","current":11.270728,"twenty":-3.052623,"median":8.730736,"eighty":26.201058,"marketCap":8092382792},{"date":"2022-06-03","current":11.325347,"twenty":-3.052623,"median":8.730736,"eighty":26.103011,"marketCap":8131599015},{"date":"2022-06-10","current":10.518918,"twenty":-3.052623,"median":8.730736,"eighty":25.938595,"marketCap":7552583028},{"date":"2022-06-17","current":9.656379,"twenty":-3.052623,"median":8.730736,"eighty":25.487581,"marketCap":6933279891},{"date":"2022-06-24","current":10.283292,"twenty":-3.061032,"median":8.71716,"eighty":25.111766,"marketCap":7383403395},{"date":"2022-07-01","current":9.576415,"twenty":-3.061032,"median":8.71716,"eighty":24.442253,"marketCap":6875866179},{"date":"2022-07-08","current":9.554026,"twenty":-3.061032,"median":8.71716,"eighty":22.009454,"marketCap":6859790339},{"date":"2022-07-15","current":9.192591,"twenty":-3.061032,"median":8.71716,"eighty":21.757215,"marketCap":6600280360},{"date":"2022-07-22","current":9.91546,"twenty":-3.061032,"median":8.71716,"eighty":21.563185,"marketCap":7119300319},{"date":"2022-07-29","current":10.107372,"twenty":-3.061032,"median":8.71716,"eighty":21.235922,"marketCap":7257093228},{"date":"2022-08-05","current":10.832203,"twenty":-3.061032,"median":8.71716,"eighty":20.976418,"marketCap":5871054238},{"date":"2022-08-12","current":11.298743,"twenty":-3.061032,"median":8.71716,"eighty":20.783185,"marketCap":6123918751},{"date":"2022-08-19","current":10.997613,"twenty":-3.061032,"median":8.71716,"eighty":20.387364,"marketCap":5960706201},{"date":"2022-08-26","current":10.31901,"twenty":-3.061032,"median":8.71716,"eighty":20.256717,"marketCap":5592903273},{"date":"2022-09-02","current":11.65501,"twenty":-3.061032,"median":8.71716,"eighty":19.916518,"marketCap":6317015288},{"date":"2022-09-09","current":11.349638,"twenty":-3.061032,"median":8.71716,"eighty":19.81821,"marketCap":6151503970},{"date":"2022-09-16","current":11.468394,"twenty":-3.061032,"median":8.71716,"eighty":19.656518,"marketCap":6215869483},{"date":"2022-09-23","current":10.115429,"twenty":-3.061032,"median":8.71716,"eighty":19.265871,"marketCap":5482562395},{"date":"2022-09-30","current":10.382629,"twenty":-3.061032,"median":8.71716,"eighty":17.259951,"marketCap":5627384798},{"date":"2022-10-07","current":11.264813,"twenty":-3.061032,"median":8.71716,"eighty":14.637804,"marketCap":6105528604},{"date":"2022-10-14","current":11.506565,"twenty":-3.061032,"median":8.71716,"eighty":14.311548,"marketCap":6236558397},{"date":"2022-10-21","current":12.286959,"twenty":-3.061032,"median":8.71716,"eighty":14.211317,"marketCap":6659531765},{"date":"2022-10-28","current":12.677156,"twenty":-3.061032,"median":8.71716,"eighty":14.129091,"marketCap":6871018448},{"date":"2022-11-04","current":8.403307,"twenty":-3.061032,"median":8.646264,"eighty":14.094713,"marketCap":6361303415},{"date":"2022-11-11","current":8.953397,"twenty":-3.020419,"median":8.652298,"eighty":14.06867,"marketCap":6777721469},{"date":"2022-11-18","current":8.664676,"twenty":-2.960169,"median":8.71716,"eighty":14.06867,"marketCap":6559159507},{"date":"2022-11-25","current":9.020259,"twenty":-2.865412,"median":8.771463,"eighty":14.06867,"marketCap":6828335818},{"date":"2022-12-02","current":8.771047,"twenty":-2.849914,"median":8.813595,"eighty":14.06867,"marketCap":6639682335},{"date":"2022-12-09","current":7.999097,"twenty":-2.83077,"median":8.813595,"eighty":14.06867,"marketCap":6055316669},{"date":"2022-12-16","current":7.993019,"twenty":-2.798955,"median":8.813595,"eighty":14.06867,"marketCap":6050715364},{"date":"2022-12-23","current":8.06292,"twenty":-2.786042,"median":8.813595,"eighty":14.06867,"marketCap":6103630366},{"date":"2022-12-30","current":8.053802,"twenty":-2.714811,"median":8.813595,"eighty":14.06867,"marketCap":6096728409},{"date":"2023-01-06","current":8.561344,"twenty":-2.714811,"median":8.771463,"eighty":13.986711,"marketCap":6480937331},{"date":"2023-01-13","current":8.755851,"twenty":-2.714811,"median":8.744312,"eighty":13.905538,"marketCap":6628179074},{"date":"2023-01-20","current":8.631245,"twenty":-2.714811,"median":8.716342,"eighty":13.839305,"marketCap":6533852333},{"date":"2023-01-27","current":8.591736,"twenty":-2.714811,"median":8.655558,"eighty":13.783114,"marketCap":6503943854},{"date":"2023-02-03","current":9.257081,"twenty":-2.714811,"median":8.652298,"eighty":13.740914,"marketCap":6646584292},{"date":"2023-02-10","current":9.260285,"twenty":-2.714811,"median":8.652298,"eighty":13.702465,"marketCap":6648884944},{"date":"2023-02-17","current":9.215426,"twenty":-2.714811,"median":8.652298,"eighty":13.677991,"marketCap":6616675813},{"date":"2023-02-24","current":8.885388,"twenty":-2.714811,"median":8.652298,"eighty":13.63724,"marketCap":6379708633},{"date":"2023-03-03","current":9.257081,"twenty":-2.714811,"median":8.652298,"eighty":13.609587,"marketCap":6646584292},{"date":"2023-03-10","current":8.174044,"twenty":-2.714811,"median":8.643402,"eighty":13.512517,"marketCap":5868963838},{"date":"2023-03-17","current":7.344143,"twenty":-2.714811,"median":8.591736,"eighty":13.430399,"marketCap":5273094911},{"date":"2023-03-24","current":7.48513,"twenty":-2.714811,"median":8.543109,"eighty":13.356707,"marketCap":5374323609},{"date":"2023-03-31","current":8.190066,"twenty":-2.70371,"median":8.464613,"eighty":13.298023,"marketCap":5880467099},{"date":"2023-04-06","current":7.981789,"twenty":-2.70371,"median":8.404826,"eighty":13.25663,"marketCap":5730924704},{"date":"2023-04-14","current":8.174044,"twenty":-2.714811,"median":8.293897,"eighty":13.14453,"marketCap":5868963838},{"date":"2023-04-21","current":7.872845,"twenty":-2.714811,"median":8.219381,"eighty":12.91272,"marketCap":5652702529},{"date":"2023-04-28","current":7.481926,"twenty":-2.714811,"median":8.174044,"eighty":12.463396,"marketCap":5372022957},{"date":"2023-05-05","current":7.126254,"twenty":-2.714811,"median":8.126742,"eighty":12.198741,"marketCap":5116650559},{"date":"2023-05-12","current":7.318509,"twenty":-2.714811,"median":8.10256,"eighty":12.036548,"marketCap":5254689693},{"date":"2023-05-19","current":-9.656259,"twenty":-2.752048,"median":8.045874,"eighty":12.011646,"marketCap":5484754916},{"date":"2023-05-26","current":-9.005183,"twenty":-2.792841,"median":7.999097,"eighty":11.965014,"marketCap":5114943927},{"date":"2023-06-02","current":-9.220921,"twenty":-2.800907,"median":7.981789,"eighty":11.908122,"marketCap":5237482856},{"date":"2023-06-09","current":-9.790021,"twenty":-2.831307,"median":7.950471,"eighty":11.854046,"marketCap":5560732101},{"date":"2023-06-16","current":-10.276267,"twenty":-2.851067,"median":7.876049,"eighty":11.763708,"marketCap":5836919845},{"date":"2023-06-23","current":-9.946091,"twenty":-2.868599,"median":7.803953,"eighty":11.693703,"marketCap":5649379821},{"date":"2023-06-30","current":-9.73092,"twenty":-2.976316,"median":7.731858,"eighty":11.680394,"marketCap":5527162727},{"date":"2023-07-07","current":-9.73834,"twenty":-3.018156,"median":7.691904,"eighty":11.653233,"marketCap":5531377110},{"date":"2023-07-14","current":-10.498858,"twenty":-3.08769,"median":7.614505,"eighty":11.631522,"marketCap":5963351322},{"date":"2023-07-21","current":-10.376433,"twenty":-3.293441,"median":7.571645,"eighty":11.577819,"marketCap":5893814010},{"date":"2023-07-28","current":-10.391272,"twenty":-3.338527,"median":7.511396,"eighty":11.533219,"marketCap":5902242775},{"date":"2023-08-04","current":-6.18112,"twenty":-3.817227,"median":7.475518,"eighty":11.49376,"marketCap":3918830218},{"date":"2023-08-11","current":-6.556518,"twenty":-4.705566,"median":7.421045,"eighty":11.470883,"marketCap":4156832472},{"date":"2023-08-18","current":-6.579171,"twenty":-4.986244,"median":7.328122,"eighty":11.449947,"marketCap":4171194677},{"date":"2023-08-25","current":-6.679493,"twenty":-6.053045,"median":7.280058,"eighty":11.426301,"marketCap":4234798728},{"date":"2023-09-01","current":-6.711855,"twenty":-6.495678,"median":7.227096,"eighty":11.387855,"marketCap":4255316164},{"date":"2023-09-06","current":-6.851011,"twenty":-6.555871,"median":7.179712,"eighty":11.382487,"marketCap":4343541137},{"date":"2023-09-15","current":-6.695674,"twenty":-6.594705,"median":7.116534,"eighty":11.352583,"marketCap":4245057446},{"date":"2023-09-22","current":-6.598589,"twenty":-6.608944,"median":6.719417,"eighty":11.329921,"marketCap":4183505139},{"date":"2023-09-29","current":-6.624478,"twenty":-6.624478,"median":6.656239,"eighty":11.322545,"marketCap":4199919087},{"date":"2023-10-06","current":-6.873665,"twenty":-6.64519,"median":6.340349,"eighty":11.308922,"marketCap":4357903342},{"date":"2023-10-13","current":-7.184339,"twenty":-6.690742,"median":6.295222,"eighty":11.286876,"marketCap":4554870725},{"date":"2023-10-20","current":-6.660076,"twenty":-6.728036,"median":6.243326,"eighty":11.254913,"marketCap":4222488267},{"date":"2023-10-27","current":-6.362347,"twenty":-6.737745,"median":6.149687,"eighty":11.23227,"marketCap":4033727858},{"date":"2023-11-03","current":-7.687167,"twenty":-6.758391,"median":5.960154,"eighty":11.23227,"marketCap":4320187823},{"date":"2023-11-10","current":-7.421855,"twenty":-6.84195,"median":-0.704446,"eighty":11.23227,"marketCap":4171082282},{"date":"2023-11-17","current":-7.749188,"twenty":-6.907321,"median":-0.723094,"eighty":11.23227,"marketCap":4355043664},{"date":"2023-11-24","current":-7.949034,"twenty":-7.011076,"median":-0.73043,"eighty":11.23227,"marketCap":4467356929},{"date":"2023-12-01","current":-7.969707,"twenty":-7.184339,"median":-0.737048,"eighty":11.23227,"marketCap":4478975542},{"date":"2023-12-08","current":-8.131651,"twenty":-7.261307,"median":-0.758995,"eighty":11.231227,"marketCap":4569988016},{"date":"2023-12-15","current":-8.603701,"twenty":-7.394971,"median":-0.766596,"eighty":11.231227,"marketCap":4835279693},{"date":"2023-12-22","current":-7.78709,"twenty":-7.444502,"median":-0.777031,"eighty":11.231227,"marketCap":4376344456},{"date":"2023-12-29","current":-7.938697,"twenty":-7.468714,"median":-0.783646,"eighty":11.23227,"marketCap":4461547622},{"date":"2024-01-05","current":-7.673384,"twenty":-7.511441,"median":-0.790897,"eighty":11.233313,"marketCap":4312442081},{"date":"2024-01-12","current":-8.176444,"twenty":-7.524649,"median":-0.801638,"eighty":11.233313,"marketCap":4595161678},{"date":"2024-01-19","current":-7.859448,"twenty":-7.581563,"median":-0.812535,"eighty":11.234356,"marketCap":4417009603},{"date":"2024-01-26","current":-7.990381,"twenty":-7.629566,"median":-0.817924,"eighty":11.233313,"marketCap":4490594156},{"date":"2024-02-02","current":-7.459756,"twenty":-7.673384,"median":-0.829558,"eighty":11.233313,"marketCap":4192383074},{"date":"2024-02-09","current":-8.671608,"twenty":-7.690418,"median":-0.840078,"eighty":11.226358,"marketCap":4032297744},{"date":"2024-02-16","current":-8.7188,"twenty":-7.749188,"median":-0.847541,"eighty":11.193324,"marketCap":4054242221},{"date":"2024-02-23","current":-8.353059,"twenty":-7.759663,"median":-0.85734,"eighty":11.181154,"marketCap":3884172521},{"date":"2024-03-01","current":-8.596887,"twenty":-7.78709,"median":-0.862694,"eighty":11.159988,"marketCap":3997552321},{"date":"2024-03-08","current":-8.03451,"twenty":-7.835328,"median":-0.867992,"eighty":11.10927,"marketCap":3736047297},{"date":"2024-03-15","current":-8.065972,"twenty":-7.857537,"median":-0.877297,"eighty":11.076477,"marketCap":3750676949},{"date":"2024-03-22","current":-8.26654,"twenty":-7.883045,"median":-0.883943,"eighty":10.99305,"marketCap":3843940978},{"date":"2024-03-28","current":-8.282271,"twenty":-7.906308,"median":-0.886159,"eighty":10.949207,"marketCap":3851255804},{"date":"2024-04-05","current":-8.219347,"twenty":-7.938697,"median":-0.892805,"eighty":10.780552,"marketCap":3821996501},{"date":"2024-04-12","current":-8.341261,"twenty":-7.952479,"median":-0.897679,"eighty":10.607063,"marketCap":3878686401},{"date":"2024-04-19","current":-7.700231,"twenty":-7.959371,"median":-0.924452,"eighty":10.518918,"marketCap":3580607248},{"date":"2024-04-26","current":-8.010914,"twenty":-7.982717,"median":-1.287978,"eighty":10.469999,"marketCap":3725075059},{"date":"2024-05-03","current":-7.432807,"twenty":-7.982717,"median":-1.400518,"eighty":10.342785,"marketCap":3456255209},{"date":"2024-05-10","current":-7.715961,"twenty":-7.982717,"median":-1.455525,"eighty":10.311813,"marketCap":3587922074},{"date":"2024-05-17","current":39.950203,"twenty":-7.982717,"median":-1.474001,"eighty":10.318997,"marketCap":3635468442},{"date":"2024-05-24","current":31.339262,"twenty":-7.982717,"median":-1.474001,"eighty":10.344378,"marketCap":2851872837},{"date":"2024-05-31","current":29.766401,"twenty":-7.982717,"median":-1.474001,"eighty":10.344378,"marketCap":2708742456},{"date":"2024-06-07","current":31.181976,"twenty":-7.982717,"median":-1.474001,"eighty":10.491206,"marketCap":2837559799},{"date":"2024-06-14","current":36.785294,"twenty":-7.983385,"median":-1.476337,"eighty":10.471695,"marketCap":3347461780},{"date":"2024-06-21","current":36.470596,"twenty":-7.984784,"median":-1.485529,"eighty":10.464909,"marketCap":3318824199},{"date":"2024-06-28","current":37.322435,"twenty":-7.988982,"median":-1.507896,"eighty":10.374995,"marketCap":3396341549},{"date":"2024-07-05","current":36.054581,"twenty":-7.988982,"median":-1.507896,"eighty":10.374995,"marketCap":3280966889},{"date":"2024-07-12","current":38.530857,"twenty":-7.988982,"median":-1.507896,"eighty":10.374995,"marketCap":3506308021},{"date":"2024-07-15","current":38.847821,"twenty":-7.988982,"median":-1.507896,"eighty":10.374995,"marketCap":3535151686},{"date":"2024-08-02","current":39.402507,"twenty":-8.005291,"median":-1.537211,"eighty":10.110595,"marketCap":3585628100},{"date":"2024-08-09","current":40.795091,"twenty":-8.005291,"median":-1.537211,"eighty":10.110595,"marketCap":3304402366},{"date":"2024-08-16","current":43.819305,"twenty":-8.005291,"median":-1.537211,"eighty":10.241104,"marketCap":3549363704},{"date":"2024-08-23","current":45.002404,"twenty":-8.005291,"median":-1.537211,"eighty":10.359726,"marketCap":3645194716},{"date":"2024-08-30","current":46.252471,"twenty":-8.005291,"median":-1.537211,"eighty":10.513487,"marketCap":3746450125},{"date":"2024-09-06","current":47.145376,"twenty":-8.005291,"median":-1.537211,"eighty":10.837293,"marketCap":3818775417},{"date":"2024-09-13","current":46.341761,"twenty":-8.005291,"median":-1.537211,"eighty":11.017971,"marketCap":3753682654},{"date":"2024-09-20","current":47.01144,"twenty":-8.005291,"median":-1.537211,"eighty":11.122306,"marketCap":3807926623},{"date":"2024-09-27","current":45.337243,"twenty":-8.005291,"median":-1.537211,"eighty":11.224097,"marketCap":3672316701},{"date":"2024-10-04","current":46.431052,"twenty":-8.005291,"median":-1.537211,"eighty":11.302136,"marketCap":3760915184},{"date":"2024-10-11","current":44.444338,"twenty":-8.005291,"median":-1.537211,"eighty":11.324191,"marketCap":3599991409},{"date":"2024-10-18","current":47.457892,"twenty":-8.005291,"median":-1.537211,"eighty":11.364289,"marketCap":3844089269},{"date":"2024-10-25","current":44.511306,"twenty":-8.005291,"median":-1.537211,"eighty":11.47009,"marketCap":3605415806},{"date":"2024-10-31","current":46.386406,"twenty":-8.005291,"median":-1.537211,"eighty":11.56764,"marketCap":3757298919},{"date":"2024-11-08","current":170.115114,"twenty":-8.005854,"median":-1.540834,"eighty":11.670278,"marketCap":4082762733},{"date":"2024-11-15","current":163.525453,"twenty":-8.005854,"median":-1.519095,"eighty":11.940023,"marketCap":3924610878},{"date":"2024-11-22","current":164.581429,"twenty":-8.005854,"median":-1.476337,"eighty":12.201285,"marketCap":3949954306},{"date":"2024-11-29","current":169.710457,"twenty":-8.005854,"median":-1.458489,"eighty":12.309013,"marketCap":4073050957},{"date":"2024-12-06","current":166.01454,"twenty":-8.005854,"median":-1.413694,"eighty":19.009752,"marketCap":3984348958},{"date":"2024-12-13","current":163.827161,"twenty":-8.005854,"median":-1.288744,"eighty":19.431443,"marketCap":3931851857},{"date":"2024-12-20","current":162.092343,"twenty":-8.005854,"median":-0.924452,"eighty":19.75224,"marketCap":3890216225},{"date":"2024-12-27","current":153.644533,"twenty":-8.005854,"median":-0.904325,"eighty":19.829852,"marketCap":3687468800},{"date":"2025-01-03","current":148.968067,"twenty":-8.005854,"median":-0.894134,"eighty":19.943683,"marketCap":3575233618},{"date":"2025-01-10","current":154.775936,"twenty":-8.006418,"median":-0.888153,"eighty":20.269652,"marketCap":3714622473},{"date":"2025-01-17","current":155.605632,"twenty":-8.006418,"median":-0.88505,"eighty":20.433931,"marketCap":3734535166},{"date":"2025-01-24","current":159.603256,"twenty":-8.006418,"median":-0.881506,"eighty":20.767663,"marketCap":3830478144},{"date":"2025-01-31","current":162.469477,"twenty":-8.006418,"median":-0.873911,"eighty":20.969454,"marketCap":3899267449},{"date":"2025-02-07","current":-53.952471,"twenty":-8.020083,"median":-0.869321,"eighty":21.04796,"marketCap":4046435338},{"date":"2025-02-14","current":-49.679725,"twenty":-8.041625,"median":-0.869321,"eighty":21.04796,"marketCap":3725979385},{"date":"2025-02-21","current":-48.689993,"twenty":-8.076521,"median":-0.869321,"eighty":21.04796,"marketCap":3651749475},{"date":"2025-02-28","current":-44.151709,"twenty":-8.125984,"median":-0.869321,"eighty":21.04796,"marketCap":3311378180},{"date":"2025-03-07","current":-43.330956,"twenty":-8.156424,"median":-0.868435,"eighty":21.065175,"marketCap":3249821669},{"date":"2025-03-14","current":-40.675577,"twenty":-8.203617,"median":-0.868435,"eighty":21.065175,"marketCap":3050668252},{"date":"2025-03-21","current":-41.399771,"twenty":-8.258674,"median":-0.868435,"eighty":21.065175,"marketCap":3104982821},{"date":"2025-03-28","current":-41.979126,"twenty":-8.282271,"median":-0.868435,"eighty":21.065175,"marketCap":3148434475},{"date":"2025-04-04","current":-39.613425,"twenty":-8.321598,"median":-0.868435,"eighty":21.065175,"marketCap":2971006886},{"date":"2025-04-11","current":-34.399227,"twenty":-8.351486,"median":-0.869321,"eighty":21.04796,"marketCap":2579941994},{"date":"2025-04-17","current":-35.340679,"twenty":-8.402611,"median":-0.869321,"eighty":21.04796,"marketCap":2650550933},{"date":"2025-04-25","current":-37.078745,"twenty":-8.51756,"median":-0.868435,"eighty":21.065175,"marketCap":2780905896},{"date":"2025-05-02","current":-37.875359,"twenty":-8.589021,"median":-0.868435,"eighty":21.065175,"marketCap":2840651922},{"date":"2025-05-09","current":-38.285736,"twenty":-8.687339,"median":-0.868435,"eighty":21.065175,"marketCap":2871430177},{"date":"2025-05-16","current":7.465003,"twenty":-8.844647,"median":-0.866663,"eighty":21.065175,"marketCap":2903886190},{"date":"2025-05-23","current":7.06892,"twenty":-8.844647,"median":-0.860017,"eighty":21.065175,"marketCap":2749809831},{"date":"2025-05-30","current":7.204054,"twenty":-8.844647,"median":-0.858245,"eighty":21.065175,"marketCap":2802377059},{"date":"2025-06-06","current":7.239691,"twenty":-8.844647,"median":-0.858245,"eighty":21.065175,"marketCap":2816239688},{"date":"2025-06-13","current":7.412621,"twenty":-8.844647,"median":-0.851155,"eighty":21.065175,"marketCap":2883509454},{"date":"2025-06-20","current":6.898505,"twenty":-8.874522,"median":-0.8547,"eighty":21.065175,"marketCap":2683518256},{"date":"2025-06-27","current":7.104151,"twenty":-8.874522,"median":-0.8547,"eighty":21.065175,"marketCap":2763514736},{"date":"2025-07-03","current":7.590224,"twenty":-8.874522,"median":-0.8547,"eighty":21.065175,"marketCap":2952597323},{"date":"2025-07-11","current":7.062087,"twenty":-8.874522,"median":-0.8547,"eighty":21.065175,"marketCap":2747151819},{"date":"2025-07-18","current":6.805029,"twenty":-8.874522,"median":-0.8547,"eighty":21.065175,"marketCap":2647156220},{"date":"2025-07-25","current":6.81905,"twenty":-8.874522,"median":-0.8547,"eighty":21.065175,"marketCap":2652610526},{"date":"2025-08-01","current":6.427894,"twenty":-8.874522,"median":-0.8547,"eighty":21.065175,"marketCap":2436171885},{"date":"2025-08-08","current":6.257869,"twenty":-8.874522,"median":-0.839635,"eighty":21.065175,"marketCap":2371732364},{"date":"2025-08-15","current":6.508184,"twenty":-8.874522,"median":-0.826786,"eighty":21.065175,"marketCap":2466601658},{"date":"2025-08-22","current":6.475123,"twenty":-8.874522,"median":-0.811057,"eighty":21.065175,"marketCap":2454071751},{"date":"2025-08-29","current":6.701824,"twenty":-8.874522,"median":-0.782921,"eighty":21.065175,"marketCap":2539991113},{"date":"2025-09-05","current":6.848234,"twenty":-8.904398,"median":-0.723105,"eighty":21.065175,"marketCap":2595480700},{"date":"2025-09-12","current":6.871849,"twenty":-8.874522,"median":6.139796,"eighty":21.065175,"marketCap":2604430633},{"date":"2025-09-19","current":6.739607,"twenty":-8.874522,"median":6.281484,"eighty":21.065175,"marketCap":2554311006},{"date":"2025-09-26","current":6.267315,"twenty":-8.874522,"median":6.463316,"eighty":21.065175,"marketCap":2375312337},{"date":"2025-10-03","current":6.418448,"twenty":-8.874522,"median":6.475123,"eighty":21.065175,"marketCap":2432591911},{"date":"2025-10-10","current":6.413725,"twenty":-8.874522,"median":6.491653,"eighty":21.065175,"marketCap":2430801925},{"date":"2025-10-17","current":6.054783,"twenty":-8.874522,"median":6.491653,"eighty":21.065175,"marketCap":2294762936},{"date":"2025-10-24","current":6.314544,"twenty":-8.874522,"median":6.491653,"eighty":21.065175,"marketCap":2393212204},{"date":"2025-10-31","current":6.111459,"twenty":-8.874522,"median":6.491653,"eighty":21.065175,"marketCap":2316242776},{"date":"2025-11-07","current":6.367794,"twenty":-8.874522,"median":6.510546,"eighty":21.065175,"marketCap":2375187037},{"date":"2025-11-14","current":6.218403,"twenty":-8.874522,"median":6.510546,"eighty":21.065175,"marketCap":2319464174},{"date":"2025-11-21","current":5.690865,"twenty":-8.874522,"median":6.510546,"eighty":21.065175,"marketCap":2122692813},{"date":"2025-11-28","current":6.162381,"twenty":-8.874522,"median":6.510546,"eighty":21.065175,"marketCap":2298568100},{"date":"2025-12-05","current":6.526522,"twenty":-8.874522,"median":6.515268,"eighty":21.065175,"marketCap":2434392579},{"date":"2025-12-12","current":7.114749,"twenty":-8.874522,"median":6.571943,"eighty":21.065175,"marketCap":2653801352},{"date":"2025-12-19","current":7.184776,"twenty":-8.874522,"median":6.601719,"eighty":21.065175,"marketCap":2679921444},{"date":"2025-12-26","current":7.04939,"twenty":-8.874522,"median":6.625381,"eighty":21.065175,"marketCap":2629422599},{"date":"2026-01-02","current":6.839309,"twenty":-8.874522,"median":6.652694,"eighty":21.065175,"marketCap":2551062323},{"date":"2026-01-09","current":7.030716,"twenty":-8.874522,"median":6.68351,"eighty":21.065175,"marketCap":2622457241},{"date":"2026-01-16","current":6.92801,"twenty":-8.874522,"median":6.711436,"eighty":21.065175,"marketCap":2584147773},{"date":"2026-01-23","current":7.114749,"twenty":-8.874522,"median":6.744275,"eighty":21.065175,"marketCap":2653801352},{"date":"2026-01-30","current":5.932081,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2509270176},{"date":"2026-02-06","current":5.694785,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2408893874},{"date":"2026-02-13","current":5.221223,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2208577118},{"date":"2026-02-20","current":5.353659,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2264597906},{"date":"2026-02-27","current":5.072733,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2145765932},{"date":"2026-03-06","current":5.293461,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2239133911},{"date":"2026-03-13","current":4.791806,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2026933958},{"date":"2026-03-20","current":4.807859,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2033724356},{"date":"2026-03-27","current":4.892137,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2069373948},{"date":"2026-04-02","current":5.0326,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2128789936},{"date":"2026-04-10","current":4.964375,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2099930742},{"date":"2026-04-17","current":5.092799,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2154253930},{"date":"2026-04-24","current":4.779766,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2021841159},{"date":"2026-05-01","current":4.542985,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":1921682781},{"date":"2026-05-08","current":4.819899,"twenty":-8.874522,"median":6.763222,"eighty":21.065175,"marketCap":2038817155},{"date":"2026-05-15","current":74.655802,"twenty":-8.874522,"median":6.817112,"eighty":21.37821,"marketCap":1343804432},{"date":"2026-05-22","current":83.828838,"twenty":-8.874522,"median":6.839309,"eighty":21.600698,"marketCap":1508919089},{"date":"2026-05-29","current":84.192127,"twenty":-8.690485,"median":6.871849,"eighty":21.83612,"marketCap":1515458283},{"date":"2026-06-05","current":86.371858,"twenty":-8.59825,"median":6.902166,"eighty":22.050847,"marketCap":1554693449},{"date":"2026-06-12","current":80.10513,"twenty":-8.523738,"median":6.956021,"eighty":24.632313,"marketCap":1441892347},{"date":"2026-06-18","current":81.467463,"twenty":-8.472025,"median":6.982281,"eighty":25.172323,"marketCap":1466414326},{"date":"2026-06-26","current":74.746624,"twenty":-8.353059,"median":7.022322,"eighty":25.87675,"marketCap":1345439231},{"date":"2026-07-02","current":86.644325,"twenty":-8.33747,"median":7.04939,"eighty":26.010999,"marketCap":1559597845},{"date":"2026-07-10","current":83.381291,"twenty":-8.288563,"median":7.06892,"eighty":26.14223,"marketCap":1500863235},{"date":"2026-07-17","current":84.551871,"twenty":-8.262099,"median":7.091407,"eighty":26.282512,"marketCap":1521933669},{"date":"2026-07-24","current":83.471335,"twenty":-8.20519,"median":7.120178,"eighty":26.418269,"marketCap":1502484038},{"date":"2026-07-31","current":101.21012,"twenty":-8.176444,"median":7.15711,"eighty":26.688274,"marketCap":1821782156},{"date":"2026-08-07","current":14.289884,"twenty":-8.154851,"median":7.170771,"eighty":26.508774,"marketCap":1771945661},{"date":"2026-08-14","current":14.431624,"twenty":-8.154851,"median":7.170771,"eighty":26.318714,"marketCap":1789521316},{"date":"2026-08-21","current":13.787355,"twenty":-8.154851,"median":7.170771,"eighty":26.169382,"marketCap":1709631972}],"updateTime":1787587949956},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"DXC\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2659900454","title":"DXC 憑藉 DXC Workplace Services 開啓辦公新時代","url":"https://stock-news.laohu8.com/highlight/detail?id=2659900454","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2659900454?lang=zh_tw&edition=fundamental","pubTime":"2026-08-13 02:06","pubTimestamp":1786557960,"startTime":"0","endTime":"0","summary":"DXC Workplace Services 帮助企业提升员工工作效率和体验，同时无需增加新的工具或运营复杂度。DXC Workplace Services 由智能编排平台 DXC OASIS 提供支持。DXC Workplace Services  员工通常会根据实际使用体验以及能否高效完成工作来评价办公技术。DXC Workplace Services 采用以体验为导向、以生产力为核心、由 AI 驱动的办公体验方案，帮助客户在保障员工体验的同时，实现业务目标。DXC Workplace Services 从设计之初便融入体验设计理念，确保办公解决方案直观易用，并与员工现有的工作方式保持一致。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/5024444_ZH24444_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/5024444_ZH24444_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4585","LU1303367103.USD","BK4588","BK4134","LU2098885051.SGD","DXC"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2657650428","title":"DXC 與 Primary 推出 AI 原生零信任平台，助力企業安全規模化部署 AI","url":"https://stock-news.laohu8.com/highlight/detail?id=2657650428","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2657650428?lang=zh_tw&edition=fundamental","pubTime":"2026-08-07 02:18","pubTimestamp":1786040280,"startTime":"0","endTime":"0","summary":"DXC 成为Primary AI 原生零信任统一控制平面的独家托管服务合作伙伴，助力企业安全扩展AI 应用规模。为填补这一安全与治理缺口，DXC与Primary 携手推出专为AI 安全及治理量身打造的平台。通过将零信任原则直接嵌入企业AI 环境，DXC与Primary 可帮助客户从试验阶段迈向企业级规模化部署，并获得从容创新所需的韧性和管控能力。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/5020340_ZH20340_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/5020340_ZH20340_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["ARTY","BK4134","AIPO","LU1303367103.USD","BK4588","DXC","VTHR","QTOC","BK4585","AGIX","LU2098885051.SGD","CHAT"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2657655724","title":"DXC 任命 Lisa Beaudoin 為首席產品官，以加速產品驅動型增長","url":"https://stock-news.laohu8.com/highlight/detail?id=2657655724","media":"美通社","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2657655724?lang=zh_tw&edition=fundamental","pubTime":"2026-08-06 22:03","pubTimestamp":1786024980,"startTime":"0","endTime":"0","summary":"在这个职位上，Beaudoin 将领导一个涵盖 DXC 产品组合的全新统一产品开发组织，负责产品战略、工程研发、生命周期管理和市场执行。她的任命反映了 DXC 致力于在全公司范围内扩展以 AI 为核心的领导力和产品驱动型创新，并加速向客户交付差异化产品。DXC Appoints Lisa Beaudoin as Chief Product Officer to Accelerate Product-Led Growth  Beaudoin 此前担任平台创新与自动化副总裁，负责领导 AI 驱动型企业平台的产品战略和工程研发。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/5019954_ZH19954_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/5019954_ZH19954_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4585","LU1303367103.USD","BK4588","BK4134","LU2098885051.SGD","DXC"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2656942073","title":"DXC 宣佈領導層任命 | DXC 宣佈領導層任命以加速構建以 AI 為中心的未來","url":"https://stock-news.laohu8.com/highlight/detail?id=2656942073","media":"美通社","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2656942073?lang=zh_tw&edition=fundamental","pubTime":"2026-08-01 05:47","pubTimestamp":1785534420,"startTime":"0","endTime":"0","summary":"Paul Taylor 被任命为 DXC 总裁；Dan Gray 将领导 Global Infrastructure Services 弗吉尼亚州阿什本2026年8月1日 /美通社/ -- DXC Technology，作为全球领先的企业技术与创新合作伙伴，今日宣布了一系列立即生效的领导层任命，将新一代以人工智能为中心的领导力置于公司最前沿，并进一步为客户、合作伙伴和员工精简组织结构。Paul Taylor, President, DXC Technology  Paul Taylor 被任命为 DXC Technology 总裁，接替继续担任首席执行官的 Raul Fernandez。这些举措共同标志着公司在构建以 AI 为中心的未来方面迈出了审慎而明确的一步。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/5015583_ZH15583_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/5015583_ZH15583_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["LU2098885051.SGD","BK4588","QTOC","VTHR","ARTY","CHAT","AIPO","LU1303367103.USD","DXC","BK4134","BK4585","AGIX"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2655835829","title":"美國研究綜述-蘋果、亞馬遜、萬事達卡","url":"https://stock-news.laohu8.com/highlight/detail?id=2655835829","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2655835829?lang=zh_tw&edition=fundamental","pubTime":"2026-07-31 15:15","pubTimestamp":1785482121,"startTime":"0","endTime":"0","summary":"美国研究综述-苹果、亚马逊、万事达卡路透7月31日-周五，华尔街证券分析师下调了包括苹果、亚马逊和万事达卡在内的多家美国上市公司评级及目标股价。股票按字母顺序排列。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260731:nL4T43X0O3:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["CRS","AAPL","AVY","AMZN","LBO","KPTI","AJG","BXMT","FCF","KKR","CLIX","SPTE","DXCM","HSY","COIA","IP","CUT","TREE","BHRB","DAPP","GPI","GDDY","BMY","ALNY","AX","GDYN","CSW","CMCO","BITQ","ESS","ALRS","EXPO","BELFB","CWH","FLS","XLK","FMC","DXC","GH","CORZ","CFR","GNMX","COIN","ILMN","DRS","H","ARXS","BUSE","HULL","CHDN"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2654884678","title":"DXC 和 ElevenLabs 宣佈達成戰略合作，規模化部署企業級 AI 和語音創新","url":"https://stock-news.laohu8.com/highlight/detail?id=2654884678","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2654884678?lang=zh_tw&edition=fundamental","pubTime":"2026-07-28 21:50","pubTimestamp":1785246600,"startTime":"0","endTime":"0","summary":"DXC 同时宣布，已参与 ElevenLabs 近期完成的 5 亿美元 D 轮融资，该轮融资使 ElevenLabs 估值达到约 110 亿美元。DXC and ElevenLabs Announce Strategic Partnership to Scale Enterprise AI and Voice Innovation   作为此次合作的一部分，DXC 将在其全球企业环境中部署先进的语音 AI 能力，以提升员工生产力、革新客户互动方式，并推出全新的 AI 驱动服务产品。DXC 将通过其原生 AI 产品孵化器和 AI 平台引擎 LabX，持续拓展与 ElevenLabs 的合作，共同开发解决方案，并作为其整体 AI 战略的一部分，将这些能力推向全球市场。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/5012781_ZH12781_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/5012781_ZH12781_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["QTOC","LU1303367103.USD","ARTY","AIPO","AGIX","BK4588","DXC","VTHR","CHAT","BK4585","BK4134","LU2098885051.SGD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2654888462","title":"DXC 任命 Holly Grant 為 LabX 總裁，強化該部門作為核心 AI 增長引擎的角色","url":"https://stock-news.laohu8.com/highlight/detail?id=2654888462","media":"美通社","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2654888462?lang=zh_tw&edition=fundamental","pubTime":"2026-07-28 21:31","pubTimestamp":1785245460,"startTime":"0","endTime":"0","summary":"Holly Grant, President, AI Innovation and Strategy & LabX, DXC Technology  此次任命标志着 LabX 职责范围的扩大，也进一步拓宽了 Grant 在推动 DXC AI 战略方面的领导角色。自加入 DXC 以来，Grant 主导制定了公司的 AI 战略，并推动 LabX 成为原生 AI 产品孵化平台，加速企业级 AI 解决方案开发，深化驱动创新和业务增长的战略合作。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/5013090_ZH13090_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/5013090_ZH13090_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["QTOC","DXC","CHAT","VTHR","ARTY","BK4588","LU2098885051.SGD","BK4585","AGIX","AIPO","LU1303367103.USD","BK4134"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1149278265","title":"財報前瞻｜DXC Technology Company本季度營收預計降3.42%，機構觀點偏謹慎","url":"https://stock-news.laohu8.com/highlight/detail?id=1149278265","media":"财报Agent","labels":["earningPreview"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1149278265?lang=zh_tw&edition=fundamental","pubTime":"2026-07-24 05:22","pubTimestamp":1784841755,"startTime":"0","endTime":"0","summary":"DXC Technology Company计划于2026年07月30日盘后发布最新财报，市场关注收入与利润率能否触底企稳及AI相关业务转化效率。市场一致预期本季度DXC Technology Company营收29.85亿美元，同比下降3.42%；调整后每股收益0.41美元，同比下降33.27%；EBIT为1.49亿美元，同比下降25.48%。上季度管理层未披露本季度营收、毛利率或净利率等具体指引。上季度公司营收31.30亿美元，同比下降1.23%；毛利率23.10%；归母净利润-1.41亿美元，净利率-4.50%；调整后每股收益0.77美元，同比下降8.33%。","market":"hk","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":"财报前瞻｜DXC Technology Company本季度营收预计降3.42%，机构观点偏谨慎","news_tag":"earningPreview","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["DXC"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2650920963","title":"DXC與Wilton Re二十年合作再添里程碑：40萬份保單成功上雲","url":"https://stock-news.laohu8.com/highlight/detail?id=2650920963","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2650920963?lang=zh_tw&edition=fundamental","pubTime":"2026-07-09 21:02","pubTimestamp":1783602120,"startTime":"0","endTime":"0","summary":"DXC已将Wilton Re超过40万份保单迁移至统一的现代化云平台，这是DXC所承接的规模最大、最复杂的转型项目之一。此次迁移，为Wilton Re未来的AI能力部署和运营效率提升奠定了坚实的基础。过去二十年来，DXC与Wilton Re共同打造了一套可重复、可扩展的迁移方法论和运营模式，助力后者从2005年约5,000份保单发展到如今超过50万份保单。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/5000574_ZH00574_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/5000574_ZH00574_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["LU1303367103.USD","DXC","BK4588","BK4585","BK4134","LU2098885051.SGD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2650997283","title":"DXC在班加羅爾開設旗艦級AI優先客户體驗中心","url":"https://stock-news.laohu8.com/highlight/detail?id=2650997283","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2650997283?lang=zh_tw&edition=fundamental","pubTime":"2026-07-08 23:38","pubTimestamp":1783525080,"startTime":"0","endTime":"0","summary":"DXC在班加罗尔开设旗舰级AI优先客户体验中心  为企业设计AI解决方案 该新设施位于班加罗尔领先的技术走廊之一，占地20万平方英尺，专为深化客户互动、加强协作及加速AI赋能转型而打造。该设施的核心是DXC旗舰级AI Hub，旨在通过实践开发和测试，帮助客户将AI概念转化为可部署的解决方案。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/4999300_ZH99300_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4999300_ZH99300_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["AGIX","LU1303367103.USD","LU2098885051.SGD","BK4134","QTOC","ARTY","AIPO","VTHR","CHAT","BK4585","DXC","BK4588"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2648547806","title":"DXC推出DXC Private Cloud+，為企業雲賦予更強管控力、安全性與靈活度","url":"https://stock-news.laohu8.com/highlight/detail?id=2648547806","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2648547806?lang=zh_tw&edition=fundamental","pubTime":"2026-07-01 22:39","pubTimestamp":1782916740,"startTime":"0","endTime":"0","summary":"Private Cloud+依托Dell基础设施搭建、由DXC OASIS运营的混合式私有云，专为承载敏感和受监管工作量的企业与政府机构打造。依托Dell搭建、DXC OASIS运营的Private Cloud+打破了这种取舍矛盾，使他们能够在AI工作量增长时做好准备。Private Cloud+是DXC Fast Track计划解决方案，专注于AI驱动型能力和自动化，助力实现指数级增长。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/4994565_ZH94565_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4994565_ZH94565_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["LU2098885051.SGD","BK4588","LU1303367103.USD","BK4585","BK4134","DXC"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2646810272","title":"DXC在里程碑式知識產權盜竊案中從TCS處收回$213,560,494.98","url":"https://stock-news.laohu8.com/highlight/detail?id=2646810272","media":"美通社","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2646810272?lang=zh_tw&edition=fundamental","pubTime":"2026-06-25 01:59","pubTimestamp":1782323940,"startTime":"0","endTime":"0","summary":"最高法院驳回了推翻TCS蓄意盗用DXC商业秘密的裁决，强调保护知识产权和客户信任的重要性 弗吉尼亚州阿什本2026年6月25日 /美通社/ -- 领先的企业技术和创新合作伙伴 DXC Technology今日宣布，已在一场涉及DXC子公司计算机科学公司的里程碑式商业机密案中， 成功从塔塔咨询服务公司处收回$213,560,494.98的款项。最高法院拒绝推翻下级法院的裁决，包括判给DXC 1.68亿美元的赔偿金，加上利息，DXC最终获得了$213,560,494.98。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/4990194_ZH90194_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4990194_ZH90194_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"2","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4200","BK4585","LU1303367103.USD","LU2098885051.SGD","BK4134","TCS","BK4588","DXC"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2643733726","title":"美國最高法院駁回上訴後，印度TCS將蒙受7000萬美元損失","url":"https://stock-news.laohu8.com/highlight/detail?id=2643733726","media":"路透中文","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2643733726?lang=zh_tw&edition=fundamental","pubTime":"2026-06-16 12:02","pubTimestamp":1781582564,"startTime":"0","endTime":"0","summary":"路透6月16日 - 塔塔咨询服务公司周一表示，在美国最高法院驳回其在一宗商业秘密案件中的上诉后，该公司将计提7000万美元的一次性特殊费用，使该案的总损失风险升至2.2亿美元。此前已为该案拨备1.5亿美元的TCS表示，将在2027年第一季度将另外7000万美元计入损害赔偿、利息及法律费用，作为一次性特殊费用。TCS向最高法院辩称，DXC在未证明实际损失的情况下不应获得不当得利赔偿，且惩罚性赔偿金额过高。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260616:nL4S42O0B9:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"policyRegulatory","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4585","LU2098885051.SGD","LU1303367103.USD","BK4588","DXC","BK4134"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2643209694","title":"美國最高法院駁回塔塔公司對商業秘密案中1.68億美元賠償裁決的上訴","url":"https://stock-news.laohu8.com/highlight/detail?id=2643209694","media":"路透中文","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2643209694?lang=zh_tw&edition=fundamental","pubTime":"2026-06-15 21:42","pubTimestamp":1781530968,"startTime":"0","endTime":"0","summary":"美国最高法院驳回塔塔公司对商业秘密案中1.68亿美元赔偿裁决的上诉DXC Technology在达拉斯起诉塔塔后赢得了该奖项塔塔公司称该裁决缺乏依据本案涉及人寿保险软件的商业秘密Blake Brittain. 路透华盛顿6月15日 - 美国最高法院  于周一驳回了总部位于印度的塔塔咨询服务公司 TCS.NS 提出的上诉，该上诉旨在推翻DXC Technology DXC.N 针对其涉嫌窃取人寿保险软件相关商业秘密而获得的1.68亿美元赔偿裁决。2024年，美国地区法官布兰特利·斯塔尔将建议的赔偿金额下调至1.68亿美元。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260615:nL4T42N1CE:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"policyRegulatory","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4134","LU1303367103.USD","DXC","BK4588","BK4585","LU2098885051.SGD","BK4103","BK4220"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2643209513","title":"美國最高法院駁回了梅西百貨關於向被解僱的罷工員工支付補償金的申訴","url":"https://stock-news.laohu8.com/highlight/detail?id=2643209513","media":"路透中文","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2643209513?lang=zh_tw&edition=fundamental","pubTime":"2026-06-15 21:39","pubTimestamp":1781530764,"startTime":"0","endTime":"0","summary":"美国最高法院驳回了梅西百货关于向被解雇的罢工员工支付补偿金的申诉梅西百货在加利福尼亚州和内华达州发生罢工后解雇了员工美国国家劳资关系委员会认定解雇行为违法，并下令给予经济赔偿梅西百货提起诉讼，称该机构的命令违宪Daniel Wiessner. 该裁决要求这家零售商向其解雇的员工支付赔偿金，而梅西百货此前试图通过此案削弱该机构下达此类命令的权力。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260615:nL4S42N1BV:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"policyRegulatory","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4585","LU1303367103.USD","BK4134","LU2098885051.SGD","BK4588","BK4103","BK4220","DXC","M"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1183765345","title":"美國最高法院拒絕審理塔塔公司請求，維持其在商業秘密糾紛中1.68億美元損失裁決","url":"https://stock-news.laohu8.com/highlight/detail?id=1183765345","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1183765345?lang=zh_tw&edition=fundamental","pubTime":"2026-06-15 21:31","pubTimestamp":1781530275,"startTime":"0","endTime":"0","summary":"美国最高法院已决定不对塔塔公司提出的复审请求进行听证，从而维持了下级法院要求该公司就其商业秘密纠纷支付高达1.68亿美元赔偿的裁决。这一决定标志着这场旷日持久的法律争端进入关键节点，塔塔公司试图推翻巨额赔偿的努力最终未能获得国家最高司法机构的支持。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["DXC","BK4588","LU2098885051.SGD","BK4585","LU1303367103.USD","BK4134"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2643294616","title":"DXC與Anthropic宣佈達成多年期全球聯盟，將AI引入任務關鍵型企業系統","url":"https://stock-news.laohu8.com/highlight/detail?id=2643294616","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2643294616?lang=zh_tw&edition=fundamental","pubTime":"2026-06-12 23:29","pubTimestamp":1781278140,"startTime":"0","endTime":"0","summary":"凭借遍布70个国家/地区的逾115,000名员工，DXC与Anthropic正在深化现有合作关系，将Claude引入DXC为全球最大型企业及政府机构运营的任务关键型系统与平台中。DXC and Anthropic Announce Multi-Year Global Alliance to Bring AI into Mission-Critical Enterprise Systems  双方将共同培训一支由数万名Claude认证的前沿部署工程师与开发者组成的专业团队，将Claude模型投入生产环境，部署于DXC为全球最大银行、航空公司、保险公司、制造商及政府机构运营的任务关键型技术基础设施系统中。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/4981536_ZH81536_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4981536_ZH81536_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["CHAT","AIPO","ARTY","AGIX","LU2098885051.SGD","BK4585","BK4588","DXC","LU1303367103.USD","BK4134"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2642284390","title":"熱門話題-DXC Technology因與Anthropic的合作而獲益","url":"https://stock-news.laohu8.com/highlight/detail?id=2642284390","media":"路透中文","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2642284390?lang=zh_tw&edition=fundamental","pubTime":"2026-06-11 20:24","pubTimestamp":1781180640,"startTime":"0","endTime":"0","summary":"由于自动化翻译可能有误，或未能包含所需语境，路透不保证自动化翻译文本的准确性，仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失，路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260611:nL4T42J0YL:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4585","LU1303367103.USD","BK4588","BK4134","LU2098885051.SGD","DXC"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1124697885","title":"DXC與Anthropic宣佈達成多年全球聯盟，將AI引入關鍵任務企業系統","url":"https://stock-news.laohu8.com/highlight/detail?id=1124697885","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1124697885?lang=zh_tw&edition=fundamental","pubTime":"2026-06-11 20:01","pubTimestamp":1781179294,"startTime":"0","endTime":"0","summary":"DXC Technology Company与人工智能公司Anthropic共同宣布，双方已建立一项为期多年的全球战略联盟。该合作的核心目标是将先进的人工智能技术深度整合至企业的关键任务系统之中，旨在提升运营效率、增强决策能力并推动业务转型。通过这一联盟，双方计划共同开发并部署定制化的AI解决方案，以满足全球各行业企业在复杂核心业务场景中对可靠性、安全性与高性能的严苛需求。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4134","LU1303367103.USD","BK4588","BK4585","DXC","LU2098885051.SGD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2641419351","title":"DXC藉助DXC OASIS精簡和強化If在北歐地區的技術架構","url":"https://stock-news.laohu8.com/highlight/detail?id=2641419351","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2641419351?lang=zh_tw&edition=fundamental","pubTime":"2026-06-05 21:04","pubTimestamp":1780664640,"startTime":"0","endTime":"0","summary":"DXC借助DXC OASIS精简和强化If在北欧地区的技术架构  随着保险公司整合收购业务并在各市场扩展规模，技术环境变得更加分散和复杂，造成系统重叠、运营孤岛以及基础设施复杂性提升，从而难以大规模实现稳健、高效和一致性运营。整合DXC OASIS DXC OASIS将为If提供一个统一的编排层，旨在提升其技术架构的可见性、协调性和治理水平。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"prnasia","url":"http://wwwold.prnasia.com/story/archive/4975325_ZH75325_1","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4975325_ZH75325_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4588","DXC","LU2098885051.SGD","BK4585","BK4134","LU1303367103.USD"],"isVideo":false,"video":null,"gpt_icon":0}],"pageSize":20,"totalPage":2,"pageCount":1,"totalSize":31,"code":"91000000","status":"200"}]}}