Patients will soon be managing their chronic diseases as in-person support goes global and as collective wisdom produces clinical insights surpassing the knowledge of any single physician. Market predictions will be part of the future of health.
For years, the IT and marketing departments have had a rocky relationship. As marketer's need to better understand the customer, it requires the investment and use of a significant amount of technology. It's time that the feud come to an end and both parties work together to grow today's cutting-edge businesses.
A major player in the space pointed out the promise of the Internet of Things (IoT) but said it’s not evolving much beyond the use case of predictive maintenance. Why aren’t use cases and revenue opportunities in the IoT exploding? I believe the hindrance is the same as it is when trying to drive change through any new technology: the change is cross-functional.
The global services company is creating a new artificial intelligence practice around IPsoft's Amelia cognitive agent, with an initial focus of deploying virtual agent technology for clients in the banking, insurance and travel industries.
SparkCognition, a company with automatic model-building technology that sifts sensor and other instrumented data to predict failures and breaches, has added an augmented-reality layer to its user interface. Now, managers can "see" impending issues before they become a problem.
How to explore business alignment techniques by analyzing business strategy, decomposing strategy into how data will be used to help meet strategic goals, decomposing data usage into critical components and understanding patterns of use.
In an effort to address concerns that the ODPi is a vendor organization designed to exert undue influence on Apache Hadoop ecosystem projects, the Linux Foundation organization announced a gold sponsorship of the ASF.rn
Data has seeped into every nook and cranny of the retail process, thanks to everything from mobile devices and Wi-Fi to beacons, sensors, cookies and POS terminals. The result? A nearly total data takeover of the retail landscape.
As executives, strategists and implementers within an enterprise, we may be tempted to imagine ourselves as the ones conditioning consumers to instinctively turn to products and services during their mobile moments. But we may be the ones who need to learn new reflexes and build new muscle memories for how we invest in technology.
In her keynote presentation at Apache: Big Data North America, Amy Gaskins, a data scientist with more than a decade of experience, shared five key requirements that can make or break big data projects.
In a market dominated by hyped and trending new technologies (No SQL, Big Data, Machine Learning, Data Visualization…take your pick), the importance of identifying and prioritizing the business needs – what do we want to do, why do we want to accomplish it, and is it worth the cost – is the most important step to take before making a business investment in a technology tool or platform.
What's more nerve-wracking than selecting a marketing automation system? Switching from an old platform to a new one. The transition process can be painful, but these four tips can help you avoid some of the most significant pitfalls.
Google Analytics can tell you virtually anything you want to know about your site visitors, organic SEO efforts and pay-per-click ad campaigns. A set of digital marketing and online metrics experts shares advice on how to use GA data to increase sales and boost revenue.
With more than 50 distributors, each supplying sales data in different formats, medical diagnostic equipment maker Alere had limited visibility into its own customer base until it built a single-source data strategy built on master data management.rn
Datorama CSO, Katrin Ribant, discusses the importance of marketing technology (MarTech) and its impact on the modern-day marketer. As today's MarTech environment is exceedingly complex, Ribant posits that understanding, or choosing not to, the space will make, or break, a marketing professional's career.
Every night, Trulia crunches more than a terabyte of new data and cross-references it with about 2 petabytes of existing data to deliver the most up-to-data real estate information to its users. Here's how it ensures consistent quality of service from its Hadoop clusters.rn
Undergraduate programs have been slow to catch on to big data education. Until now. Here are eight universities paving the way for the next generation of data scientists with undergraduate degrees in big data.rn
The analytics company has created a new Global IoT Analytics unit within Teradata Labs and also introduced a Hybrid Cloud environment to help customers shift analytic workloads among a mix of on-premises, managed cloud and public cloud systems.rn
In this month's Career Roadmap, Tom Walsh and Alex Krowitz, both research engineers for workforce management company Kronos, discuss what it takes to be a data scientist — one of today's hottest and most in-demand IT careers.rn
Most people know that a student who does well in a class would likely do well in another class, but could you predict whether a student would succeed based on how many times they logged into the campus network?
Increasing consumerism means that patients have to feel like they are partners in their health care. Improved user experience design in technology and real-time analytics at the last mile that is invisible and improves the quality of the physician-patient interaction may hold the key to the future of healthcare.rn
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