专栏首页智能计算时代Watson Uses Cognitive Computing To Improve People's Lives

Watson Uses Cognitive Computing To Improve People's Lives

IDC predicts that by 2018, half of all consumers will interact with services based on cognitive computing on a regular basis.

IBM’s Watson business, which is based in New York City, is opening a Watson hub in San Francisco. This will enable us to more closely collaborate with the local start ups, developers, venture capital groups, and academics we’re working with. We’ll host activities aimed at sparking a new wave of innovation built on advances in cognitive computing.

IBM has long played a major role in Silicon Valley. We built a manufacturing plant there in 1943 and opened our IBM Research lab in San Jose in 1956 — since then producing a string of technology breakthroughs including the first disk drive, the first data mining algorithms and essential advances in nanotechnology. My dad got his start as an IBM engineer in the Valley in 1958, so it has a special place in my heart.

This move is part of a rapid evolution of our Watson technology and business. We’re also announcing a major expansion of the Watson Developer Cloud platform. We now offer more than 25 cognitive APIs underpinned by over 50 technologies that developers are pulling off the virtual shelves to quickly create cloud-based applications. Meanwhile, our roster of Watson ecosystem partners continues to grow, with 350 commercial partners building and the first 100 going into market.

Additionally, more than 77,000 people have experimented with the platform — free of charge. Watson Developer Cloud is a sandbox where developers can learn about the technology and rapidly prototype new applications.

By doubling down on our commitment in this region, we’re offering entrepreneurs and startups there easier access to our people, technology and collaboration — with which they can build new companies and create new capabilities that will greatly benefit businesses, the global economy, and improve people’s lives.

Though cognitive computing includes some elements of the academic discipline of Artificial Intelligence, it’s a broader idea. Cognitive systems are designed to help people make better decisions by ingesting vast quantities of data, reasoning over the information, learning from their interactions with data and people, and interacting with individuals in ways that are more natural to us. Rather than producing machines that think for people; cognitive computing is all about augmenting human intelligence — helping us think better.

IBM has created a portfolio of cognitive computing solutions that continues to grow and addresses industries ranging from healthcare and financial services to scientific research and retailing. But there’s no way that we can take advantage of all of the innovation opportunities created by the emergence of cognitive. That’s why we’ve opened Watson’s doors to everyone, that is, to you. We believe that creative people in startups and established companies alike will dream up great ideas that we’d never think of.

To seed some of those ideas, we’ve set aside $100 million to invest in companies like Welltok, Sellpoints, Modernizing Medicine, Pathway Genomics and WayBlazer. In addition, we’re encouraging venture capitalists to invest billions more in startups that are determined to amplify human inspiration through cognitive computing.

We call this ecosystem the long tail of cognitive computing.

Cognitive systems employ reasoning strategies that are initially targeted at certain types of problems, but they evolve through engineering and machine learning to become more sophisticated and to handle more complex problems. We expect to add even more APIs by next year, covering an even broader spectrum of reasoning capabilities.

All of these new capabilities are plug-and-play resources for people to participate in the API Economy. Our portfolio of APIs enables incredibly powerful and sophisticated applications to be built rapidly — often in just a few months. For instance, it took just two months for Ampsy, a social media marketing company, to develop and release Watson-powered applications for the entertainment industry.

Cognitive represents the third era of computing — as different from today’s standard computing technologies as they were from the tabulating and calculating machines that preceded them. This is an opportunity for all of us to get in on the ground floor of a phenomenon that I believe will help transform business and society.

Rob High is an IBM Fellow and the Chief Technology Officer of IBM Watson.

A version of this story appeared on IBM’s A Smarter Planet blog on Sept. 24, 2015.

To learn more about the new era of computing, read Smart Machines: IBM’s Watson and the Era of Cognitive Computing.

本文分享自微信公众号 - 首席架构师智库(jiagoushipro),作者:IBM

原文出处及转载信息见文内详细说明,如有侵权,请联系 yunjia_community@tencent.com 删除。

原始发表时间:2015-10-26

本文参与腾讯云自媒体分享计划,欢迎正在阅读的你也加入,一起分享。

我来说两句

0 条评论
登录 后参与评论

相关文章

  • The Rise of Cognitive Business

    When the original Watson won on the TV quiz show Jeopardy! in 2011, it was one c...

    首席架构师智库
  • 区块链是未来吗? 或者它只是一种时尚?

    区块链行业和美国大淘金者的共同点 今天用加密货币发生的事情让人联想到90年代的网络泡沫时代。投资科技公司的人们以及更加连接未来的雄心勃勃的想法几乎在一夜之间赚取...

    首席架构师智库
  • IBM Expands Data Discovery and Q&A Power of Watson Analytics

    IBM Expands Data Discovery and Q&A Power of Watson Analytics Half a Million Prof...

    首席架构师智库
  • 计算机辅助的个性化教育(CS CY)

    STEM领域的人才短缺日益严重,大学和学院都在竭力满足这一需求。以计算机科学为例,参加入门课程的美国学生人数在过去10年增长了3倍。最近,作为缓解这种压力的一种...

    用户7495559
  • 使用梵文语法改善具有数字词源的多语言国家的电子治理和移动治理(CS.CY)

    随着数字连接(Wifi,3G,4G)和数字设备的巨大改进,如今已经可以在最偏远的角落访问互联网。农村居民可以轻松地通过PDA,笔记本电脑,智能手机等访问Web或...

    蔡小雪7100294
  • 论文解读:主视觉大脑皮层的深度层级模型:机器视觉可以从中学到些什么?

    、论文:Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Compute...

    用户1908973
  • 从本体感知到新型环境中的长距离规划:分层RL模型(CS AI)

    为了使智能代理能够在复杂环境中灵活高效地进行操作,它们必须能够在时间,空间和概念抽象的多个级别进行推理。在较低级别,代理必须解释其本体感受输入并控制其肌肉,而在...

    刘子蔚
  • Monolithic vs Microservice Architecture- Pros and Cons

    The hassle that large scale enterprise applications under development bring to t...

    用户4822892
  • 在法庭上的表演:法国上诉法院判决的自动处理和可视化(CS AI)

    人工智能技术在法律领域已经很流行并且很重要。我们从司法判决中提取法律指标,以减少法律系统信息的不对称性和诉诸司法的机会。我们使用NLP方法从判决中提取有趣的实体...

    刘子蔚
  • 【论文推荐】最新七篇视觉问答(VQA)相关论文—差别注意力机制、视觉问题推理、视觉对话、数据可视化、记忆增强网络、显式推理

    WZEARW

扫码关注云+社区

领取腾讯云代金券