To stay competitive, manufacturers look for ways to adapt or improve processes for better quality or to meet market demand. Industrie 4.0 is an approach to manufacturing that goes beyond automation. By instrumenting the shop floor via IoT-aware devices, data and information are delivered in real-time, enhancing interoperability between machines and workers, enhancing quality and productivity. This post shows John Deere’s Smart Manufacturing Platform (SMP) as an example of IBM's Industrie 4.0 Reference Architecture.
Join IBM at OSCON 2017! May 8-11, 2017 Austin Convention Center Booth #301 Open technology and innovation are at the core of IBM’s strategy. Leveraging Open by DesignTM principles, we’re delivering unparalleled integration of open technologies across our strategic cloud and cognitive solutions. Find out how at OSCON 2017 — attend one of our sessions, […]
This 3-part series of posts helps you understand the in-depth features of Serverless Computing via OpenWhisk. OpenWhisk offers an easy way to chain services where an output of first action acts as an input to the second action and so on in a sequence. This post describes the resource requirements for performing this lab.
In Part 1 of this series, you learned the basics of Serverless computing and the building blocks behind OpenWhisk. In this post, you will create Watson Services and add them to an OpenWhisk Sequence on IBM Bluemix. As our post is all about chaining Watson Services using OpenWhisk, in this section you will create three Watson Services
This year, with the opportunity of a new working location within the new press building, our team undertook an exercise to re-imagine the client; members and guests experience for the IBM at The Masters Program. The focus for us was to bring IBM’s cognitive ambition and capabilities to the forefront, to demonstrate that Watson can be applied to every activity and touch point of an experience, and improve it. The idea formed from this approach became known as our “Cognitive Room”.
We're announcing a lower price for using custom models developed with Watson Knowledge Studio.
I am a big fan of using the command line as most of you know by now. This applies to interacting with IBM Bluemix cloud and its services and for database systems like DB2 or dashDB. Thus, I was excited when the IBM Watson Conversation service added API functions to manage workspaces for the chatbots.
The IBM Watson Visual Recognition service can obviously tag images for content, recognize faces, and find similar images, but that’s not all it can do. If the condition you want to identify is only within a smaller region of a larger image, the entire image might not be classified with high enough confidence and a positive result could be missed. This post shows you how you can improve Watson Visual Recognition's ability to detect finer details.
The above Chinese Proverb expresses what multi sensory learning is all about in three lines. The human brain has evolved to learn and operate optimally in multi sensory environments. Hence, when we engage more senses, more cognitive connections and associations are made and this helps to further process new information. In fact, we learn “better” using multiple senses at once. It's logical! Let’s use Dragon Creative Enterprise Solutions Ltd. (DCESL) to help us build some new cognitive connections of our own.