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번역 위젯 여러 언어로이 블로그의 영어 버전의 번역을 촉진 하기 위하여 당신의 편의 위해 제공 됩니다.. 이 자동된 번역 기능을 활용 하려는 경우, 자동된 번역 원래 영어 버전 간의 편차가 있을 수 있습니다 이해 하시기 바랍니다. IBM 같은 자동된 번역 편차에 대 한 책임을 지지 않습니다 및 번역된 버전 제공 "그대로" 어떠한 종류의 보증 없이.

분석 왓슨 전세계

IBM 왓슨 스튜디오의 새로운 기능 알아보기: 인공 지능과 기계 학습에 대한 하나 개의 포트폴리오

Over the last decade, the data science market has evolved, new macro trends have developed and IBM has invested in advanced technologies and platforms while ushering customers into the era of enterprise data science. 에서 2016 IBM introduced the Data Science Experience, which blurred the lines between our new and old technologies. We have now made the decision to simplify our portfolio for our customers under a single brand —IBM Watson Studio.

IBM Watson Studio was first announced at IBM’s Think conference in March 2018, and included the integration of all the capabilities of Data Science Experience Cloud and a brand-new interface for SPSS Modeler. Starting October 2018, IBM has now rebranded the on-premises offering of Data Science Experience Local to IBM Watson Studio Local, and also integrated SPSS Modeler and Decision Optimization tools within IBM Watson Studio. 또한, we are introducing a new product called IBM Watson Studio Desktop to address data prep and modeling needs on an individual desktop.

IBM Watson Studio has also been recently recognized as a Leader 안에 2018 Forrester Wave report on Predictive Analytics and Machine Learning (Fanla) 플랫폼. Forrester Wave recognized IBM Watson Studio as a “perfectly balanced PAML solution for enterprise data science teams that want the productivity of visual tools and access to the latest open source via a notebook-based coding interface.” IBM received the highest possible score in breadth and depth of functionality, our blend of workflow capabilities with open source machine learning and our pretrained machine learning models for IBM Watson Visual Recognition, IBM Watson Natural Language Classifier and many others.

What’s next?

To further advance our capabilities, IBM Watson Studio is partnering with two industry leaders in data annotation, DefinedCrowd 그리고 Figure Eight. These partnerships will advance our capabilities in image categorization, natural language classification, sentiment analysis and content moderation. The integration of these two technologies into IBM Watson Studio will create a seamless, one-stop solution that combines human intelligence and machine learning capabilities to accelerate enterprise AI initiatives.

In the coming months, IBM Analytics will bring to market a newly streamlined portfolio. We will deliver an exciting set of new capabilities to our existing customers, whether they need them on a public cloud, private cloud, on premises or on their desktop. And our current products, 등 SPSS Modeler and Decision Optimization, will continue to be a core component of the IBM Watson Studio platform, supporting full compatibility with previous work assets.

Thank you for your continued investment in IBM Analytics! We are excited about our enhanced Data Science portfolio and encourage you to share with your clients and help accelerate their AI and machine learning journey. I would also love to hear from you – please use the comments feature below to share your thoughts.

Get started now!

 
Shweta 샤르마 @sharma_shweta
글로벌 채널 마케팅 매니저
IBM 파트너 에코 시스템
 

Shweta Sharma is the Global Channel Marketing Manager for IBM Analytics with over a decade of experience in channel/alliance/partner marketing. 그녀는 IBM의 채널 비즈니스의 주위에 전 세계적으로 마케팅 활동을 구동, focused on growing business partner momentum in Data Science and Business Analytics. Connect with her on Linkedin and/or follow her on Twitter.

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