30家提供RPA机器人流程自动化服务的公司–Arago(2/30)
Arago德国领先智能自动化公司基于AI和在机器学习的基础上开发的AI软件AutoPilot可以让企业自动化完成完整的IT架构,从而取代了企业IT人员的部分工作。该公司2014年10月获得5500万美元的A轮投资。
Arago 曾经的调研显示智能自动化和人工智能自动完成企业的日常工作,能提升IT专业人士的成就感和满意度。该调研访问了194名IT人士,根据IT人士表达他们对智能自动化和人工智能的熟悉度、感受和体验而完成。
根据10月份德国领先智能自动化公司arago GmbH的调研结果,智能自动化和人工智能自动完成企业的日常工作,能提升IT专业人士的成就感和满意度。该调研访问了194名IT人士,根据IT人士表达他们对智能自动化和人工智能的熟悉度、感受和体验而完成。
结果出人意料,IT人士不仅欢迎智能自动化,而且大部分认为自动化给他们带来满足感提升效率等等益处,而不会担心自动化会剥夺他们的工作。85%的IT专业人士体会过或预计自动化会提升效率。
调研结果:
1、85%认为智力刺激和学习/发展活动对他们的工作满意度来讲是最重要的
2、88%已经体会过或预计自动化会解放他们的时间,使他们更专注于战略性计划,提升效率。
3、93%不相信自动化IT工具会对他们的就业带来威胁
91%不相信自动化IT工具会成为人工智能取代人类的开端。而且,受访的IT专业人士表达了减少繁琐工作的愿望,因为繁琐重复的工作消耗他们的时间,且不激发智力。
IT人士最希望做的工作分别为:
1、创新技术/方案(72%)
2、现代化目前的技术(63%)
他们最不喜欢的工作分别为:
1、文档类工作(59%)
2、例行公事的围护(36%)
“以上结果表明,IT人士并不认为智能自动化会对他们的就业带来威胁。前瞻性思考的CEO,CIO和HR管理人员需要意识到到智能自动化给企业带来的正面影响。”Arago CEO表示。
HIRO™ learns through Knowledge Items (KI). KIs are atomic pieces of contextual information that store the experiences and best practices of experts. KIs feed HIRO™ with needed data to solve problems and enable the AI to combine KIs into different solutions. The number of possible permutations grows exponentially with added knowledge. Knowledge is 80% reused within organizations and 33% across organizations. Arago’s HIRO™ Community also provides a public library of thousands of KIs and KI bundles to kick-start a customer deployment. Furthermore, HIRO™ portal allows managers to analyze and improve their experts’ teaching verticals. A powerful semantic graph is at the core of the HIRO™ platform. HIRO™ Knowledge Core gives the power of a data pool, normally only available to internet giants, to established companies while fully retaining control, ownership and security of their data. While automating processes, the HIRO™ Knowledge Core builds an accessible semantic map of your organization’s data. This data map is organized semantically to allow understanding of the environment HIRO™ is working in. It serves as the foundation for the AI enablement of enterprises. Arago‘s algorithms enable the HIRO™ engine to perform dynamic reasoning to solve ambiguous and complex problems. This enables companies to become more agile as HIRO™ can quickly and seamlessly adapt to changes and system updates. Machine learning amplifies HIRO™ engine as it continuously optimizes performances.
来源:互联网