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Anne Mullaney

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Anne Mullaney oversees Cutter's marketing and product development activities and in-house editorial/research teams. She has more than 25 years experience in the high-tech publishing business. Read more ...

Jan 022018
 
Fog or Cloud? Nope. Fog AND Cloud.

Fog computing, also known as edge computing, has begun to take off. Fog computing is an intermediate layer that extends the cloud layer. As Giti Javidi, Ehsan Sheybani, and Lila Rajabion write in Focusing in on Fog Computing’s Implications for Business, “simply put, fog is a cloud close to the ground.” With fog architecture, some of the computing is moved to the edges, away from centralized data centers and cloud solutions, allowing data to be processed locally on smart devices rather than being sent to the cloud for processing. Why are companies are turning to fog computing? According to Javidi and her coauthors, they are doing it for higher efficiency, better security, faster decision-making processes, Read more

Dec 192017
 
Capturing Value from Applying Machine Learning to Big Data: A Few Examples 

A specialized piece of artificial intelligence, machine learning, allows computers to learn on their own. In “Why Machine Learning is Crucial to Effective Utilization of Big Data,” Cutter Consortium Senior Consultant Greg Smith and his co-authors explain that machine learning is a specialization within artificial intelligence (AI) that allows computers to learn on their own. Computers are provided a set of rules, rather than explicit programming instructions on what to do, and can then self-train and develop a solution by themselves. With ML techniques, computers iteratively learn from data and also find potential hidden insights in data.  Why is it that machine learning can offer a huge advantage over human intellect? According to Smith,   ML does not rely on human Read more

Dec 052017
 
What's in Store for 2018?

As the year winds down, our editorial team is once again curating predictions by Cutter Consortium Senior Consultants and practitioners (like you?) of what will happen in business technology over the next 12 months and beyond. This annual tradition has foretold lots of trends: 8 Kinds of Transformational Initiatives in 2015; A Changing View of Social Media; Mobile + Disruptive Technologies = Killer Apps; Rapid Technology Innovation in Blockchain: Should You Be on the Front Lines?; Secure Collaboration in the Cloud: the End of the Oxymoron; and The Future of Collaboration, to name a few. Last year, we published the 2017 predictions in Cutter Business Technology Journal and also in our free e-letter, The Cutter Edge. (Why not subscribe now? It’s Read more

Nov 292017
 
Using Big Data Analytics to Support Higher Ed Students

Cutter Consortium Fellow Vince Kellen continues to blaze the trail by using big data to improve the Higher Ed experience — not just for students, but also for educators, advisers, and administrators. In addition to being a Cutter Consortium Fellow, Vince is the CIO at University of California, San Diego (UCSD), where he is leading the university’s roll out of the Student Activity Hub, which gives real-time insight into student behavior and performance. UCSD can analyze and correlate the data and use it to create more positive outcomes — in this case, improved retention and graduation rates. Plus, as Edscoop recently reported in its profile of Kellen and the UCSD Activity Hub project, the actionable data can Read more

Nov 212017
 
Wearables and IoT in Insurance

As pointed out in Insurtech: Processes are Ripe for Disruption, wearable technology can make an impact on the insurance industry’s product development, customer service, and claims processing processes. Wearable fitness devices, like watches and wristbands, are already providing insurers with access to customer data by tracking health behaviors and habits. Insurers are using this data to offer personalized service, improve risk assessment and pricing, and build customer engagement. The health insurance sector, pointed out by Dorota Zimnoch in How Digital Is Disrupting the Insurance Sector, is using IoT and wearable technology in these ways: Vitality, the UK health and life insurer, rewards customers for being healthy by collecting data via wearable devices like Garmin, Polar, Read more

Nov 142017
 
Insurtech: Processes are Ripe for Disruption

Recently, Cutter Fellow Steve Andriole took a wide look at insurtech. His insight, and a collection of articles on the topic, appear in a recent issue of Cutter Business Technology Journal (CBTJ). What exactly is insurtech? According to Investopedia, insurtech refers to: the use of technology innovations designed to squeeze out savings and efficiency from the current insurance industry model.… The belief driving insurtech companies is that the insurance industry is ripe for innovation and disruption.” Steve Andriole has a unique perspective on insurtech having served as CTO and Senior VP for Technology Strategy at CIGNA Corporation, a $20 billion global insurance and financial services company. Writes Steve: The insurance industry is very quickly evolving, Read more

Nov 072017
 
Repeat After Me: Fail Early, Fail Often

Nokia let the smartphone get away; Blockbuster never saw Netflix coming to steal its lunch. These are just two of the most frequently cited cases of incumbent businesses that didn’t pay enough attention to the disruptive potential of innovation by a new entrant or competitor. Your company needs to be aware of the imminent reality of being disrupted if it doesn’t stay ahead of the disruption curve. How do you stay ahead? By starting innovation as early as possible. You’ve heard it many times: fail early, fail often. Or, as Lekshmy Sasidharan wrote in a recent Cutter Consortium Executive Report: Begin adopting the disruptive and emerging technologies most relevant to your current and future business Read more