摘要： 2023 will bring exciting advances in AI and graph technology. One of the most compelling innovations will be the ability for quantum programs to be turned into graphs and vice versa. Natural language understanding will become part of AI models. The adoption of standards-based semantic layers will spike as they enable data selection through business terms. Graph neural networks (GNNs) will become standard in knowledge graphs and causal knowledge graphs will emerge.
摘要：
Artificial intelligence has already permeated our everyday lives. We see it everywhere, even when we’re not aware of it. From the algorithm that drives our online searches to the app we use on our phones, AI is all around us.
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現今的 AI 人工智慧技術已經能理解人類發出的大部分指令，並完成任務，或甚至是能夠透過機器學習與人類進行對話。不過雖然 AI 人工智慧能讓人類的生活變得更方便，卻也引發了不少爭議。例如前陣子 Google 軟體工程師公開指出，AI 聊天機器人 LaMDA 具有自我意識；或是 Meta 聊天機器人直接無情開噴，吐槽老闆祖克柏專靠剝削人們賺錢。
摘要： 根據 TechOrange《2022 雲端 AI 應用大調查》分析報告指出，目前企業重點 IT 預算，多優先投入發展 AI 與機器學習應用，以優化公司產品、營運面向，或進行戰略預測分析。且據蜂行資本公布的《2022臺灣企業 AI 趨勢報告》顯示，如今超過 48% 國內企業已將導入 AI 技術，成功落地應用，實現商業價值。
