AI agents缩短冲突地区人道主义小组的关键研究时间
在冲突地区工作的人道主义团体发现，代理AI可以缩短危机与知情反应之间的研究周期。
Cloudera Inc.围绕部署灵活性制定了AI战略，一个非营利伙伴正在前线测试这一方法。 但其目的是让分析家有一个更快的起点，而不是使研究自动化，据Prosper Global公司的数据科学总监Aaron Eubank (pictured)，前身是慈善团。
“不是最终报告会被推向人道主义界和团队，“我们希望机构掌握在研究人员自己手中。”
Eubank与CUBE的Rebecca Knight和Paul Gillin在EVOLVE26的独家广播中交谈，他们讨论了多agent AI如何加速人道主义研究，VERA在冲突地区的早期成果以及控制研究人员的重要性。 (* 以下披露。 )
特工AI遇到了战争的人道主义雾
Prosper Global在大约30个社区面临冲突、气候变化和经济困难的国家开展工作。 其危机分析师的研究可能需要数日到数周的时间，因此该组织与Cloudera一起建造了VERA，这是一个使用Cloudera AI Studios的多agent研究引擎，运行在Amazon Web Services Inc.上，并从Anthropic PBC中抽取模型。 Agents取自ReliefWeb，冲突追踪器ACLED等来源和当地新闻，最终agent集合了调查结果，Eubank解释。
“Agents允许我们真正地调整研究过程，“然后，它将使我们能够在未来增加更多的资源，并真正有一个我们不会与早期的基因AI重迭有关的全面研究过程。”
在苏丹，VERA将农业报告的案头研究从五到六天削减到两天，节省了约1500美元，Eubank指出。 在哥伦比亚，一名没有安全背景的雇员在几个小时内就编写了一份选举安全报告。 VERA，发布于6月也在刚果民主共和国和乌克兰运营。
“我们工作的每一个地方的风险和背景不同”,Eubank 称。 “在我们经历这些事情时，必须真正采取有分寸而缓慢的办法。 ”
SiliconANGLE及CUBE报导EVOLVE26:
(*披露：CUBE是EVOLVE26 2026赛事的付费媒体合作伙伴。 CUBE活动报道的发起人Cloudera和其他发起人对CUBE或SiliconANGLE上的内容都没有编辑控制。 ).
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AI agents cut critical research time for humanitarian teams in conflict zones
Humanitarian groups working in conflict zones are finding that agentic AI can shorten the research cycle between a crisis and an informed response.
Cloudera Inc. has built its AI strategy around deployment flexibility, and one nonprofit partner is testing that approach on the front lines. But the aim is to give analysts a faster starting point, not to automate research, according to Aaron Eubank (pictured), director of data science at Prosper Global, formerly Mercy Corps.
“It’s not the final report that’s going to be pushed out to the humanitarian community and teams, but rather a starting point that analysts can use to continue to iterate on their own research,” Eubank said. “We want to keep the agency in the hands of the researchers themselves.”
Eubank spoke with theCUBE’s Rebecca Knight and Paul Gillin at EVOLVE26, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how multi-agent AI is accelerating humanitarian research, VERA’s early results in conflict zones and the importance of keeping researchers in control. (* Disclosure below.)
Agentic AI meets the humanitarian fog of war
Prosper Global works in about 30 countries with communities facing conflict, climate change and economic hardship. Its crisis analysts’ research could take days to weeks, so the organization built VERA with Cloudera, a multi-agent research engine that uses Cloudera AI Studios, runs on Amazon Web Services Inc. and taps models from Anthropic PBC. Agents pull from sources such as ReliefWeb, conflict tracker ACLED and local news, and a final agent assembles the findings, Eubank explained.
“Agents allow us to really kind of tailor the process for how this research is done,” Eubank said. “Then it will allow us to then add further resources in the future and really have a curated research process that we wouldn’t have had with some of the earlier iterations of generative AI.”
In Sudan, VERA cut desk research for an agricultural report from five or six days to two, saving about $1,500, Eubank noted. In Colombia, an employee with no security background produced an election security report in a few hours. VERA, launched in June, also runs in the Democratic Republic of Congo and Ukraine.
“The risks and the contexts are different in each place that we work,” Eubank said. “It’s important to really take a measured and slow approach as we go through that.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of EVOLVE26:
(* Disclosure: TheCUBE is a paid media partner for the EVOLVE26 2026 event. Neither Cloudera, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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