Business intelligence (BI) tools are undergoing massive disruption. The powerful integration of artificial intelligence (AI) frameworks like natural language processing and automated predictive insights are transforming what BI can do for businesses.
Thankfully, making sense of this new world of AI
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
The choice to flex a data warehouse on a private cloud is a personal one. It offers benefits in three key areas: enhanced control over data and apps, better management and monitoring, and custom tailoring that is built to address specific user requirements and self-service applications.
If any one industry can claim digital transformation as a most immediate imperative, then the media and entertainment industry rises above the rest. Not only do organizations need to provide streaming content, but they also need to provide content on a diverse range of platforms. And to be
Modern buildings often house interactive, collaborative and dynamic working environments. Get a glimpse at how some leading-edge organizations are applying cognitive analytics and the Internet of Things to design digital, intelligent buildings with elastic environments that can dramatically enhance
Today, more than ever, businesses need to put the ability to analyze data into the hands of business analysts, data scientists, stakeholders and decision makers. Take an evolutionary look at how Apache Spark and big data discovery are just beginning to open up a diverse and powerful set of
Organizations increasingly depend on business intelligence (BI) to power their data-driven cultures. To generate useful insight, however, companies must make sure their environment incorporates all the capabilities of a truly 21st-century BI solution.
Many line-of-business users may dismiss optimization as being too complex to contemplate. Yet that way of thinking couldn’t be further from the truth. Find out how advanced analytics can be used to deploy practical optimization solutions.
Mainstream business practices call for the critical requirements of business intelligence (BI) to enable evidence-based decisions, and line-of-business users should expect no less from providers of cloud-based business analytics.