Today we announce the acquisition of IRIS Analytics GmbH, an award-winning provider of real-time payments fraud prevention software. This strategic acquisition aims to strengthen our entire Safer Planet portfolio with the addition of IRIS’s advanced machine learning techniques and automated model
Outokumpu, a global leader in the production of high-performance stainless steel, recently discovered something interesting when it started treating machines as individuals. From reactive to proactive maintenance planning, Outokumpu’s philosophical shift underpins its new process with a focus on
Cognitive computing is reshaping the Internet of Things, helping enterprises enter the flow of IoT data to uncover unexpected insights and answer previously unanswerable questions. Find out how you can reimagine your future with the help of the cognitive Internet of Things.
Stream computing combines data streams with an increasingly broad range of applications designed to help businesses solve problems of all kinds. Learn more about how you can capture data streams and infuse them into your applications.
Organizations often use computers to remove the human element from data analysis—but what about using computers to put it back in? Find out how cognitive document capture systems can apply their reasoning capabilities to a range of diverse documents to help your organization make use of its dark
Opinions differ on who, exactly, is a citizen data scientist, but one thing is for certain—they’re ushering in the cognitive era in ways never before imagined. Join a panel of social VIPs at IBM Insight 2015 to hear their take on citizen data scientists and their role in the modern data paradigm.
The first Datapalooza has just wrapped up, but it was just the beginning. Stay on the lookout for Datapalooza’s arrival to a city near you—you won’t want to miss your chance to kickstart your entry into the insight economy.
Kernel-based learning methods form the foundation of an important approach to machine learning, particularly as relates to text classification. Several kernels that are especially notable for their usefulness in text mining also hold potential for other advanced analytics applications.
Text mining is becoming an increasingly vital tool for gaining insight from all the text data that flows over the Internet. This overview describes the basic steps of text mining methods and shows how machine learning techniques can help parse natural language processing.
Expand the boundaries of your possibility thanks to Apache Spark. Big data analysis is undergoing a paradigm shift powered by Spark, which supercharges the Hadoop ecosystem to help organizations accomplish things that were once thought impossible.
Rapid advances in cognitive computing and machine learning are enabling smart guidance in many scenarios. Coming on the heels of several key recent announcements, discover how line-of-business and other users can now leverage the full range of analytics—cognitive, descriptive, predictive and
Apache Spark provides a processing framework that is well suited for collaboration among data scientists, developers and data engineers who create highly adaptive solutions. Attendees at Insight 2015 can learn much more about the Spark framework that is built for speed, ease of use and
Text mining is the next step in data mining, offering advanced capabilities for extracting meaning from vast, amorphous masses of data. Despite its complexity, text mining has much to offer businesses—and the list is growing. Discover what text mining could mean for your organization today.