Creating and maintaining an adaptive organization is well within reach through advanced analytics and innovation, and the right analytics solutions can help businesses transform data-driven insight into actual value without the nightmares from shifting market conditions and information overload.
Meeting today’s dynamic data requirements goes beyond technology that focuses on operational capture, decision-support-oriented consumption, and data governance. Enterprise architects need to take into account a wider array of data sources and establish a performance measurement plan that tracks
The Internet and our social feeds are chock full of blogs, news and articles on the strides that the public sector is making with big data and analytics. This Public Sector News series skims the wires and pulls out the most interesting articles that give us fodder for thought and debate.
Machine learning is a tool for making humans more productive. Machine learning methods vary in degrees of automation. Regardless of how one performs machine learning, data scientists must still prepare the data sets, specify the algorithms, execute them and interpret the results. The process of
Student attrition is a serious concern for colleges and universities around the world. Analytics and data can help higher education institutions manage attrition by helping to align all data to get a comprehensive view of each student, and then using analytics to determine who may be at risk. Once
The Internet of Things is providing organizations with new opportunities to expand their business offerings, grow and retain valuable customers, and improve existing processes to increase efficiency and reduce costs. With an estimated 24 billion connected devices by 2020, the Internet of Things
Operational analytics are critical to business success. Whatever back-end system powers them—online transaction processing database, data warehouse, data mart, and so on---operational analytics can deliver the insights that drive real-time decisions in today’s dynamic business environments.
Did you know that the convenience and speed of mobile is now applied to the work of policing? Criminals are often experts at utilizing technology to commit crime. Now our police officers have mobile speed and ease of use to help them make data-driven decisions on the front lines.
In part seven of this series, we looked at the second key stage within the analytics lifecycle (Analyze), which focuses on analyzing the data and identifying the insights most likely to create a positive business impact. In part eight we will examine recommendations and practical actions for the
Describing intelligence software has gotten a whole lot easier as Hollywood continues to produce gripping spy shows like The Blacklist, Homeland and CSI. But while the layman description may have gotten easier, the real threatscape continues to evolve as criminal and terrorist networks continue to
Deep learning algorithms are growing progressively smarter at recognizing patterns in video, audio, speech, image, sensor and other non-textual data objects. Correlation of deep learning model results with other sources of contextual information can show how the information supplied by media and
According to Gartner, digital business is the “creation of new business designs by blurring the digital and physical worlds." There are three key foundational shifts that are making the digital business phenomenon real. Interestingly, these tectonic shifts are also driving faster adoption of
With a lot of moving parts, CEVA was generating a lot of content. Pulling it all together provided flexibility and insight into the content CEVA already had. With IBM solutions, CEVA now has the data it needs to start driving key decision making for the future.
Make better business decisions with