Staying at the forefront of digital transformation means embracing constant change. It’s about staying nimble to customer demands, tapping into the pulse of a shifting market, and taking actions on insights as they’re developed. All of this can be made possible through continuous intelligence (CI
The television industry may have found a new way to measure its audience. When paired with analytics, automatic content recognition technology shows content providers what their audiences are watching, allowing them to engage viewers and offer relevant content on a second screen.
Pricing transparency is as at an all-time high: Consumers can find the best deals on merchandise in a matter of minutes with an online search, and retail price-comparison apps have become mainstream. As a results, retailers are turning to analytics to bring new precision to how they price goods.
When disasters strike, emergency management infrastructures stand poised to respond, but saving lives depends on how quickly — and how dynamically — rescuers can reach a scene and react to what they find there. Here's a look at how real-time analytics are fueling more agile and effective rescue
Big data tools offer new opportunities to use real-time data to take timely actions that result in reduced cost, improved quality of care and more satisfied patients. However, the benefits are unevenly distributed across the physician community.
The Championships, Wimbledon is poised to capture the drama of tournament matches and derive insight from real-time data as events unfold to give fans a rich experience. Analytics offers Wimbledon access to timely data in context to provide illuminating and relevant information to fans through its
Join us on Thursday, March 5 at 1:00 p.m. ET for a webinar featuring Mike Gualtieri, coauthor of The Forrester Wave: Big Data Streaming Analytics Platforms, to discuss how streaming data is transforming the way we live, work and play.
In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics into all decisions. Using IBM’s four pillar approach (Sense, Orient, Decide and Act) you can be assured
Most data that organizations capture and collect isn’t valuable. In addition, high value data is often overlooked because organizations can’t capture, analyze and act fast enough. IBM has created a solid foundation to help organizations capture all opportunities, even the ones that are fleeting,
Big data has been the heart of predictive and real-time weather analytics from the start. Throughout all eras, meteorological models have greedily devoured every high-performance computing resource thrown their way. Leveraging these resources, fine-grained local weather forecasting may not be as
Need to sell more products? Dump Steve, the guy in the chicken suit flagging down customers in the parking lot, and adopt real-time actionable insight.
IBM’s four pillar strategy (sense, orient, decide and act) will turn your big data into action. In our five-part series, we will introduce real-