Predictive analytics News
May 23, 2016
Organizations are increasingly looking for ways to capitalize on all of the unstructured data they've been collecting and stashing. Deep learning applications could offer an answer.
March 31, 2016
In a panel discussion at Strata + Hadoop World 2016, managers of data science initiatives discussed how to structure and lead teams of data scientists for effective big data analytics.
February 12, 2016
IoT big data analytics is needed to make sense of the mountains of data coming from industrial equipment and Spark may be up to the task.
December 28, 2015
In 2015, APIs for IBM's Watson system were front and center as a means to bring cognitive computing applications to a broader corporate audience.
Predictive analytics Get Started
Bring yourself up to speed with our introductory content
Edge analytics applies algorithms to data at the point of collection in order to trigger actions and determine what should be sent back to a central data repository and what should be discarded. Continue Reading
When assessing the reality behind today's AI technology, businesses need to think about how it can perform in specific tasks rather than hoping for a do-it-all tool. Continue Reading
Smart manufacturing is a strategy for managing manufacturing operations that leverages sensor data to better understand and plan the production process. Continue Reading
By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time. Contact TechTarget at 275 Grove Street, Newton, MA.
Evaluate Predictive analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
AI software has been around for decades, but it's getting renewed life now, thanks in large part to the growth of big data and cloud software offerings. Continue Reading
Computer AI has been the holy grail of application development for nearly 50 years, but just because some projects now claim to be AI, that doesn't mean they are. Continue Reading
Smart city projects could help municipal governments operate more efficiently and improve quality of life for residents, but data access, privacy and security are still hurdles to overcome. Continue Reading
Manage Predictive analytics
Learn to apply best practices and optimize your operations.
Scott Porad, the lead technology executive at dogsitter matching service Rover.com, explains why it's important for companies operating in the highly competitive sharing economy to be driven by data. Continue Reading
When it comes to building a data science team, businesses should expect to find workers from a variety of backgrounds rather than holding out for a unicorn. Continue Reading
Public utilities are increasingly turning to smart grids and advanced analytics techniques to help manage their operations. Here's how one power provider -- Arizona's Salt River Project -- scored big on analytics. Continue Reading
Problem Solve Predictive analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
It is expensive for a hospital to run multiple ORs, therefore it's important that the space is used efficiently. One hospital uses predictive analytics to improve OR utilization. Continue Reading
King Digital Entertainment was losing players of "Candy Crush Saga" at an early stage in the online game -- a problem it solved with help from a customer data analytics project. Continue Reading
Federal regulators are threatening to crack down on underperforming colleges. Marist College is using analytics to help students succeed -- and make sure it stays off the government's list. Continue Reading