半径的人工智能
集合包含半径人工智能专家
专家集合是analyst-curated列表,突出了公司你需要知道的最重要的技术空间。
人工智能包括在半径1专家收集,包括人工智能。
人工智能
10656件
这个集合包括创业卖AI SaaS,使用人工智能算法开发自己的核心产品,这些发展中硬件支持人工智能工作负载。
最新的半径的人工智能新闻
2023年4月25日
苏珊狡猾,半径的联合创始人和ceo AI (RAI),在餐厅业务在加拿大长大。这是许多原因之一她采取了人本主义的方法来人工智能,机器人技术,相信如果AI正确执行它可以使零售,近年,C-store等多处员工成为自信和满足超级明星在他们的工作。我最近参加了一个小组,苏珊。这些思想超前的专业人士在小AI的少数的女性领导人。他们把一个人文的AI的应用在多处餐馆和其他实体企业:提供更好的客户体验改善客户和员工安全RAI已经部署在近年世界30多个用例如何AI可以简化操作,提高士气,并建立一个品牌。这是一个小样本:狡猾的指出,使用人工智能跟踪等待时间,然后游戏化比赛地点改进可以整个团队新技术接受和尊重。声音AI会使客户订单在他们的母语和得到更好更快的服务。人工智能应用程序尤其强大的“得来速”环境中,服务速度,方便,安全。车牌数据可以用于构建忠诚度计划。库存管理是通过人工智能。 Sly says one brand saved about $300K by being able to predict order behaviors and adjust inventory accordingly, radically reducing food waste. Equipment fails like broken gas pumps, or open refrigerator doors can result in customer frustration and lost revenue. AI can alert operators immediately so they can take action. Computer vision enables stores to spot theft, slip-and-fall accidents, and other in-store incidents with amazing speed. Existing security cameras can be used for this purpose, reducing the investment brands need to make. AI can also save millions of dollars in testing new products or service concepts. Rather than rolling out a new idea and then waiting to read results, multi-location operators can get immediate and accurate usage data and pull the plug immediately on innovations that aren’t working. ChatGPT and similar applications can be used to write and standardize job descriptions, proposals, and other critical documents. “No organization is too small to implement AI,” asserts Sly. Smart restaurants will use data to make smarter decisions, put the right people in the right jobs, and create each location’s footprint and processes to respond to the intelligence they get from AI. Sly stresses the importance of interoperability in AI. As QSRS and other multi-location businesses seek to incorporate AI, they must ensure that all their technologies can “talk” to each other, ensuring that data is accurately captured in real-time at all contact points. In closing, remember that artificial intelligence can only work well in the QSR environment if combined with and designed to serve human needs. AI may be much simpler and people-friendly to deploy than many media outlets would lead restaurants to believe.
半径的人工智能常见问题(FAQ)
半径AI是何时成立的?
半径AI成立于2017年。
半径AI的总部在哪里?
半径艾未未的总部位于350年代密尔大街。
人工智能的最新一轮融资半径是多少?
人工智能的最新一轮融资Unattributed半径。
半径AI筹集了多少钱?
半径AI筹集了总计700美元。
半径AI的竞争对手是谁?
半径为人工智能的竞争对手包括Pathr AI。
比较半径AI对手
RetailNext发展商店零售分析系统提供的购物体验。系统重点零售分析实体企业,提供对顾客购物行为的分析。这是原名商景国际网络。公司成立于2007年,位于圣何塞的加州。
Placer.aioffers a traffic analytics platform. It provides instant access to location insights derived from the foot traffic of consumers, delivering visibility into offline behavior. The company was founded in 2018 and is based in Los Altos, California.
AI-powered视频云的提供者。该公司旨在降低pb级别存储的成本。
先讯美资是数字操作平台的开发者——先讯美资智商相结合充分先讯美资解决方案组合,包括零售库存数据、顾客行为,和损失和责任,和零售商和第三方解决方案,如人工智能和机器学习。
Pathr AI创建实时空间智能的解决方案。公司成立于2019年,总部位于山景城,加州。