To drive coordinated planning across diverse business functions, and deliver huge value to planners and decision-makers, the most efficient approach is to use common decision optimization tools that address business and process specifics.
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
Are you a big data and analytics subject-matter expert? Do you enjoy writing? Would you like to be published? Check out IBM Press and the great opportunity to be a big data and analytics author. Share your expertise with readers from customer and partner organizations, colleagues and the greater
Deriving actionable insight from data and analytics is shifting to unified, cloud-based platforms that can be used by a variety of analysis personas. Take a look at a national retail chain scenario demonstrating how a comprehensive portfolio of end-to-end analytics in the cloud can provide the
Does your data science need a shot in the arm? Attend Datapalooza, a one-of-a-kind globetrotting data science festival that aims to bring together data scientists from all walks of life for two and a half days of education and application. Find out when Datapalooza will be coming to your area, then
Evolving Internet of Things technology is paving the way for ongoing innovation—from smart thermostats and smart cars to other smart devices—through continuous access to its data streams. And while ongoing access to that data inspires the magic behind Internet of Things solutions, it also offers an
Are you building your business strategy on a dual foundation of data and insight? In part 2 of this two-part podcast, listen to business technology analyst Abbie Lundberg explain the importance of becoming a cognitive business as she talks with host Rick Perret, program director for marketing
Are you building your business strategy on a dual foundation of data and insight? In part 1 of this two-part podcast, listen to business technology analyst Abbie Lundberg explain the importance of becoming a cognitive business as she talks with host Rick Perret, program director for marketing
The Internet of Things is at the heart of the digital transformation we are witnessing in society today. The advancements of this connectable ecosystem bring several important considerations including data security and privacy and the elements of the infrastructure. In this second installment of a
The Internet of Things is the digital future that is dead ahead. Are industries and businesses prepared for the onslaught of data that is already transforming our world today? In this series, take a glimpse into this future and the questions that will need to be addressed for all that the Internet
By listening to data from interactive social platforms, organizations can not only stay abreast of what consumers are thinking today, but also anticipate what they will be thinking tomorrow. To learn more, discover how paying attention to Twitter data helped Monsanto get a head start on its 15-year
Students fall behind in their educations for any of a number of reasons, but Dr. Komminist Weldemariam is out to find out exactly what those reasons are. By doing so, he and his team hope to help schools and students everywhere ensure that no student falls through the cracks.
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.