Inside Asian Gaming

IAG OCT 2019年10月 亞博匯 76 COLUMNISTS course it doesn’t stop there. The most important part of Big Data is the ability to analyze it to reveal patterns, trends and associations, especially those relating to behavior and interactions. Big Data can be analyzed for insights that lead to better decisions and strategic business moves, as well as for better Artificial Intelligence building. When combined with AI, companies can use Big Data to detect fraudulent behavior before it affects their organization and determine the root cause of failures in near-real time. INTERNET OF THINGS (IoT) This technology will help connect your rice cooker to your car and your phone. That may sound a little unusual at first, but think of it this way: if you are stuck in a heavy traffic jam on your way home, your rice cooker can delay the cooking time of your dinner and your phone will notify your childrens' teachers about any delay in picking them up at school. When combined with AI, companies can use Big Data to detectfraudulentbehaviorbefore it affects their organization. 當大數據的使用與人工智能相互結合 時，企業可藉此偵測出詐騙行為，避免相 關行為影響其組織架構。 人工智能 人工智能是關於自動化技術和機器學習，讓機器透過觀察人 類行為而從中學習。這技術可偵測黑客攻擊模式，在安全漏洞出 現前，提供預測分析。 透過預測客戶行為，人工智能亦可用來提高客戶保持率、參 與度及支持度，亦可在規劃、預測性維護、提高效率、減省成本等 領域上發揮關鍵性作用。與此同時，人工智能亦可創造新工種，這 些新工種更適合人們出任，包括客戶關係和服務業等。 人工智能發展所面臨的挑戰是系統之間的相互操作性，以及 令這項技術費用下降至更多大眾可承擔的水平。 大數據 大數據指海量的數據，無錯，除了意味著巨量資料外，大數據 更重要的意義在於透過分析相關數據，揭示當中的模式、趨勢和 關聯，尤其是那些與行為和互動相關的數據。 對大數據進行分析，亦可獲得寶貴見解，以便更好地作出決 策及制定業務策略，以及完善人工智能建設。當大數據的使用與 人工智能相互結合時，企業可藉此偵測出詐騙行為，避免相關行 為影響其組織架構，以及近乎實時地辦識故障的根本原因。