Today at Microsoft Business Forward in Paris, France we connected with hundreds of global business leaders to share our vision for Microsoft Business Applications. In addition, I had the privilege to unveil new Dynamics 365 AI and mixed reality applications, and new solutions to help businesses unlock deeper insights from data across their organizations. The new capabilities we introduce biannually in our October and April releases advance our commitment to remove barriers to innovation and operational excellence; a vision reinforced by amazing stories of companies evolving their business as usual. ExxonMobil is a great example. This week, we announced that the world's largest publicly traded international oil and gas company has deployed Dynamics 365 to help improve operations in one of the world's most important oil-producing regions.
Disruption ahead: Deloitte's point of view on IBM Watson8 9. What makes Watson unique In technical terms, IBM Watson is an advanced open-domain question answering (QA) system with deep natural language processing (NLP) capabilities. At this point, the Watson Software as a Service (SaaS) platform is most effectively used to sift through massive amounts of text--documents, emails, social posts, and more--to answer questions in real time. Watson accepts questions posed by the user in natural language and provides the user with a response (or a set of responses) by generating and evaluating various hypotheses around different interpretations of the question and possible answers to it. Unlike keyword-based search engines, which simply retrieve relevant documents, Watson gleans context from the question to provide the user with precise and relevant answers, along with confidence ratings and supporting evidence. Its learning capabilities allow Watson to adapt and improve hypothesis generation and evaluation processes over time through interactions with users. Developers and other users can improve the accuracy of responses by "training" Watson. IBM is also continuing to expand Watson's capabilities to incorporate visualization, reasoning, ability to relate to users, and deeper exploration to gain a broader understanding of the information content. Watson recently launched a new platform service that has the ability to ingest and interpret still and video images, which is another significant type of unstructured data.
Although AI has been around for decades it is only recently that companies and organizations are starting to adopt it at scale. In my previous post I wrote about the new generation of technology building blocks that will shape the future of digital experiences with a specific focus on Artificial Intelligence, and what is driving the rapid expansion of this capability. In this post I will build on that conversation to discuss how Microsoft currently approaches AI from a business perspective. Before we go into the details, be sure to revisit the first post in this series for context on why AI is taking off now. At Microsoft there are teams working on AI projects around the company which generally falls into 3 core categories of platform and product investment.
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