IBM FlashSystem 9100: 數據驅動、多雲端環境企業的核心

(英文原文

IBM 認為,唯有數據驅動 (Data-driven)、多雲端 (Multi-cloud) 環境的企業,方能在現今競爭激烈的環境中脫穎而出。[1]

我們可以觀察到在最近推動企業數據儲存發展趨勢中,數據型業務需求扮演了關鍵要素:NVMe 非揮發性記憶體儲存裝置、人工智能、多雲端、容器應用程式等等。[2]

問題變成:「現今有沒有一種儲存解決方案,建基於成熟且經過實證的技術平台,只要單一平台就能應付當今儲存、數據中心與雲端趨勢;並提供同時支援傳統與現代數據中心的多元 AI 與雲端型軟件產品服務?」

您唯一的選擇:IBM FlashSystem 9100

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Secure Your AWS Workloads with IBM Managed Services

IBM Cyber Security X-Force Command Center

IBM supports Amazon GuardDuty with both managed security services and SIEM enablement for AWS environments. IBM delivers an integrated system of analytics, real-time defenses and proven experts to help you operate securely in the Cloud.

For customers who have enabled Amazon GuardDuty, IBM can help you integrate security findings and events from AWS into your existing QRadar SIEM and security operations. IBM threat insight combines Global Threat Insight and Augmented Intelligence (AI) via second stage analytics for advanced event classification. AWS customers can also engage X-Force Incident Response services for response planning, preparation, and remediation.

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IBM Supports Amazon’s GuardDuty, a Threat Detection and Continuous Monitoring Service

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Amazon announced a new threat detection service at the recent AWS re:Invent event in Las Vegas that is designed to help protect users from security threats.

Launched by the Amazon Web Services (AWS) cloud computing division, Amazon GuardDuty uses machine learning to help identify potential anomalies and provide recommendations to reduce the risk. The intelligence-driven service aims to help IT decision-makers deal with the ever-growing range of attack vectors in the digital age.

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Three Steps to Secure Your AWS Environment Using IBM QRadar

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Moving production assets and workloads to the cloud can be hard. In the absence of care and precision, it can also be risky. With the right tools and practices in place, you can mitigate many, if not all, of these risks. You may even be able to greatly ease your transition.

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販賣機即時收集數據 精準營銷

(報導於2017年9月28日在香港經濟日報刊登)

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傳統廣告要做到精準營銷,並不容易,但在數碼世界,一切皆可。

從事販賣機業務的SmartRetail夥拍IBM,結合視頻,利用鏡頭收集消費者性別及年齡層作分析及推廣。

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自動售賣機 AI推廣更貼心

(文章於2017年9月16日在 iMoney刊登)

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不論是大品牌或小商戶,要在香港開店,租金都是一大問題,因此近年有售賣各種貨品的自動售賣機出現,「其實我不太鍾意自動售賣機這個名字,因為立即聯想汽水機,其實我是想創造Automatic Retail(全自動零售)的新方向。」SmartRetail創辦人蘇俊豐在2009年創立公司,一改自動售賣機只賣汽水、零食的形象,變成賣健康零食,並配合機上屏幕做不同宣傳活動。貫徹健康的主題,最近他與IBM合作,採用對方開發的人工智能技術,售賣Fitbit產品。客人走近售賣機,機上的前置鏡頭能自動偵測其性別及年齡範圍,介紹相應的商品,客人可即時以信用卡、八達通等電子貨幣付款。配合不同商戶的市場推廣需要,屏幕可有相應的用途,例如客人可選擇觀看廣告以獲取折扣等。

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The Next Generation of Infrastructure Services

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Danske Bank is testing the IBM Watson-based services platform that uses cognitive technologies to help IT service providers improve operations.

With rapidly changing business needs and accelerating business cycles, organizations need consistent and reliable service delivery across a “supply chain” of services from multiple vendors. There is no compromising choice for reliability. Both play an equally important role in a business’s success and they need the services they are using to continuously evolve.

For the IT services industry, it means a shift from system integration to services integration, and from a people-led and technology-assisted approach to one that is technology-led and people-assisted. In other words, most standard tasks and processes will be executed by increasingly autonomic systems that are data-driven, cognitive and automated.

This approach also means the evolution of automation and advanced analytics to cognitive delivery. Like many in the industry, we believe cognitive delivery is the next stage of the delivery lifecycle transformation.

Companies are already taking better advantage of the wealth of operational data and experience to gain insights that trigger automated actions for better business outcomes from IT or advise human experts to make better decisions.

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