Across the rail and freight logistics industries, traditional approaches to asset utilization are shifting to accommodate a data-driven and proactive future where analytics and data insights provide companies with greater returns.
The travel industry is undergoing a seismic evolution, based in large part on disruptive technologies fueled by data and analytics. Two key trends causing these paradigm changes are location services and intelligent mobility.
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
Cognitive computing is a powerful tool for intelligent asset management in the rail industry, particularly when coupled with data analytics. From whole rail system maintenance and development to single wheels on train cars, here are some ways data-driven railway innovation is unfolding on a global
Three travel and transportation experts discuss the opportunities and challenges associated with enhancing the value of analytics in their industry in a conversation recorded during the IBM Insight 2015 conference, IBM’s largest annual data and analytics event.
Has your data strategy wandered away? Are you struggling to get it back on track? Discover how two travel and transportation companies reined in their programs, helping them become leaders in the insight economy.
As CP companies continue to evolve strategies on driving brand loyalty and market differentiation, not only do they need to leverage the proliferation of consumer data, advances in analytics and digital marketing technology to engage consumers with greater relevance and timeliness, they also need
In this era of the connected, smarter traveler, we’ve come to expect our service providers to "know me and serve me, not just sell me.” Are your travel service providers speaking to you with the level of awareness and knowledge that you expect?
Where the Canadian National Railway used to rely on monthly data reports, they now operate more efficiently—in near-real time—with predictive analytics. IBM PureData for Analytics has enabled the company to apply logical insights from their data to save fuel consumption, predict shipments and keep
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Innovative organizations are now using the power of Big Data & Analytics to predict more than just information on where and when a problem will occur, but also predict how it will occur and how to resolve it. This is helping chief operating officers, chief information officers, and their teams
Across industries, big data has generated big buzz – and the travel and transportation (T&T) industry is no exception. In fact, T&T CEOs rank the “information explosion” among the top drivers of transformation for their organizations. In this blog, I want to discuss some of the ways in