After a public tender process spanning multiple rounds, the Berlin-based digital agency was awarded the contract to relaunch the Ministry of Defence (BMVg) internet presence by the IT service provider BWI GmbH. Aperto, an IBM Company, will be entrusted with delivering the creative, implementation and editorial services for the Ministry and the German Armed Forces' digital presence, as well as fundamentally transforming their digital ecosystems. Additionally, IBM was awarded the contract for software maintenance and support. The duration of the framework contract is four years. The technical implementation is based on the CoreMedia content management system.
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Analytics & Cognitive
This month, we will take on the third of the language-oriented APIs: the Natural Language Understanding module. What does this one do?
By Dave Shirey
Last month, we looked at the Natural Language Classifier, which offers a way to look at a piece of text and determine not so much the tone of the section but rather its intent: What is the text really about? What are the core issues it reveals?
Before that, we investigated the Language Translator, which translates written text to and from English, French, German, and a multitude of other languages.
Do your business apps access different data sources? This book shows you how to make that task easier
by Steven Cole
As a developer, I have often worked with business applications that pull in data from various sources, such as files or databases, and send that data to multiple destinations. This sounds simple enough, but clients and/or applications typically do not send or receive data the same way. So, what happens when you must update that data for the destination to take it in? There are multiple tools you can use to modify (transform) this data—essentially, the extract, transform, and load (ETL) concept. Wouldn’t it be great to have one tool to handle multiple ETL scenarios? That’s where Extract, Transform, and Load with SQL Server Integration Services: With Microsoft SQL Server, Oracle, and DB2 comes into play. This book is exactly what the title states. In it, authors Thomas Snyder and Vedish Shah dive into how to use Microsoft’s SQL Server Integration Services (SSIS) to accomplish these tasks.
You would think it would be easy to tell what language you were using, but apparently for Watson that’s not the case. Or am I misunderstanding what this is? Hmmm, which could it be?
By Dave Shirey
OK, so maybe I misunderstood this one a bit. Honestly, when I first looked at the API’s name, I thought it was related to figuring out what language you were using, whether it was Indo-European or Slavic or something else. My mistake.
The Natural Language Classifier is used to determine the intent behind a text selection, returning a confidence score to indicate how strongly it feels. In this way, it is related to the Tone Analyzer and the Personality Insights.
A quick guide to the basics of database normalization—a critical step in refreshing an older IBM i database
by Rafael Victoria-Pereira
Editor's note: This article is excerpted from chapter 5 of SQL for IBM i: A Database Modernization Guide, by Rafael Victoria-Pereira.
Most people take a quick look at the normal forms definitions—the “steps” to achieve normalization Nirvana—and dismiss the whole thing as being an academic and convoluted waste of time. Actually, normalization is, for the most part, easy and mostly common sense with some business knowledge thrown in. Once you understand the fundamental concepts, you’ll see that it’s useful and a great way to tackle aging and “broken” databases. Let me start by introducing a few key concepts that will be used later to define each normal form.
I’ve been asked this question many times recently. The short answer is yes…and no. Keep reading to get a grasp on these two very important concepts and get to the long answer.
By Rafael Victória-Pereira
As explained in previous articles (parts 1, 2, and 3), having a lot of data is not, by itself, very helpful. You need tools (like the Hadoop Framework I covered in the last couple of articles) and techniques to extract value from the data. Machine Learning (ML) techniques are a good place to start. However, things get a bit fuzzy when you start reading about this topic, because it’s often mixed up with Artificial Intelligence (AI), and some articles go as far as saying that ML and AI are one and the same. This is not entirely correct. Let me start by explaining what ML is and how you can put it to good use with minimal effort.
Everybody seems to be talking to everyone these days - verbally, in writing, via mind control, you name it. But what happens when the people communicating speak different languages?
By Dave Shirey
While it is probably true that more people across the world today speak English than ever before, it is also true that more people from different countries are talking to more people in other different countries than ever before. It is an inevitable consequence of our global world and something that businesses, governments, and non-profits have to deal with.
IBM Watson Virtual Agent uses the Watson Conversation API to help you build automated, conversational chatbots to provide self-service experiences to customers.
By John Ghrist
In "Watson Conversation Can Generate Chatbots and Virtual Agents for Your Business, Part I," we reviewed how IBM Watson Conversation can help enterprises build chatbots that can use natural-language text and spoken input from humans to support customer-service applications. IBM Watson Virtual Agent (WVA) carries this concept a step further to provide customized tools that can help you create automated self-service environments for customers, as well as analytics tools for customer engagement.