Bloomberg partnered with TMH to deploy BQuant Enterprise, a Python-based analytics environment integrated with Bloomberg data ...
The new feature allows multiple users to collaborate with one another and with ChatGPT in a single shared conversation ...
OpenAI launches group chats in ChatGPT for up to 20 people OpenAI is finally bringing group collaboration to ChatGPT, ...
N o matter how packed my schedule is, one thing you can always count on is that I will procrastinate. I always know it’s ...
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AI agents autonomously handle data preparation and analysis, freeing teams to shift from quarterly projects to continuous strategic response Optilogic, the leader in AI-first supply chain design and ...
BTQ Technologies Corp. ("BTQ" or the "Company") (Nasdaq: BTQ) (CBOE CA: BTQ) (FSE: NG3), a global quantum technology company ...
It emptied out in the Covid years — but with a reinvention and the decline of WFH, Docklands is back in business says Jonathan Prynn ...
在人工智能技术飞速发展的今天,从智能客服到工业质检,从医疗影像分析到金融风险预测,AI的应用场景不断拓展,其赋能千行百业的潜力有目共睹。然而,当我们深入观察AI技术的实际落地过程,会发现一个令人困惑的现象:尽管AI技术在实验室和demo中展现出强大的能力,但在企业级场景中大规模应用时,却往往面临“最后一公里”的难题。
据Gartner统计,超过70%的网络安全事件源于已知漏洞未及时修复,而攻击者平均只需数小时即可扫描全网并锁定存在漏洞的目标。在这样的背景下,漏洞评估(Vulnerability Assessment)成为企业安全防御的第一道防线——通过主动扫描IT资产,发现潜在的安全弱点(如未打补丁的软件、弱密码配置、开放的危险端口),并评估其被利用的风险等级,为后续的修复与加固提供依据。