筆者希望借助本文來介紹 Watson Health 的最近發展並消除一些誤解。如果您只是閱讀了近期的某些報導，那麼，您對 Watson Health 的看法，尤其是針對我們的 Watson 腫瘤解決方案 (Watson for Oncology) 產品，可能既不全面也不準確。
三年前，IBM 成立了 Watson Health，目標非常明確：找到人工智能與其他技術的最佳整合方式，協助醫療及健康領域的專業人士應付全球最嚴峻的醫療挑戰。在 Watson Health 所涉及的每一個領域， 我們的努力均已開始產生影響，例如：
- 支持重要的新發現，以加速研發治療肌萎縮性脊髓側索硬化症（Amyotrophic Lateral Sclerosis, ALS）及帕金遜症（Parkinson）等疾病的新療法
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。
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。
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.
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.
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.
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.
In many organizations, support for IT problems can be somewhat haphazard. The result of a user request often depends on the IT worker responding to it, who needs to ask the correct series of questions to get the answers they need. This may not be a straightforward process, however; what workers think they need to know may not actually be correct. A breakdown in support functions may even lead to the rise of shadow IT, as workers become frustrated and revert to using the tools they understand instead of those approved by the organization.