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
Marketers looking to expand their customer base and achieve retention continually contend with cognitive era challenges of rising data influxes from disparate sources. To cut to the chase, what they really need is a tool that predictively and prescriptively offers the means for recommending next-
Business professionals need answers to critical questions that bolster the accuracy of predictive forecasting. And forecasting is a vital approach for a number of business measures including product demand, revenue, sales and more. Discover why predictive forecasting is essential for any line of
Spark just seems to be getting big play everywhere in the technology arena. What is Spark? And do you need it? Get a good glimpse into its in-memory execution capabilities, some of its key components, its integrations and its availability as a service.
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
Metadata and governance might not have a long history of setting hearts ablaze, but those who are recognizing their importance to self-service are looking to metadata to help organizations fully leverage a wide range of assets across the business. Discover why metadata and governance are taking a
By remotely monitoring patients, doctors can reduce costly visits while still providing top-quality care for their patients. Real-time analytics allows doctors to immediately spot problems and intervene, even before patients know something is wrong.
The open source Hadoop framework accommodates distributed storage and processing of large data sets on clusters of computers through the use of programming models. If that description sounds complex, then dig into this breakdown of Hadoop components to gain an understanding of just how flexible
https://www.ibm.com/cloud/db2-warehouse-on-cloudApache Spark not only excels at data warehousing, in-memory environments for building data marts and other functions, it also is well suited for pulling data from a wide range of sources and transforming and cleansing that data in an Apache Hadoop
Travel providers are increasingly turning to data insights around demand, predictive intelligence and social analytics to empower and elevate their marketing promotions and offers. Businesses in the travel space can leverage past seasons' data to make next season's guests and travelers happier and
Marketers of the past relied on intuition to determine if creative campaigns were working, and focus groups to understand how customers engaged with their brand. The exponential growth of channels on which the customer can interact with brands has meant not only the downfall of the linear customer
Human resources has always been about people: attracting people, finding the right people for the right role, supporting and developing the people you do choose to hire. Historically, that process has relied heavily on human intuition. Now, like other industries, HR is being transformed by the
On the heels of several key announcements to broaden the IBM Cloud Data Services portfolio, see how a wide range of technologies can be implemented in a cloud-based, data warehouse architecture to support operational and analytical workloads.