Posts tagged ‘analytics’

Look Who’s Doing Big Data in Nova Scotia: Matt Hunter, Health Outcomes Worldwide

What kind of data are you working with? Our data primarily describes wound care. Our clients record various metrics relating to wounds, and the treatments of those wounds. What kinds of analytics are you using? We use a custom reporting system to help our clients identify trends and/or issues with wound care. What are the problems your company is interested in solving? We strive to improve the quality and efficiency of wound care by identifying issues in the data. The traditional method of recording all of this data on paper charts makes it hard or impossible to derive conclusions from that data over time. By making it as-easy-as-paper for nurses to collect this data electronically, we can provide deep insights […] Continue Reading

Look Who`s Doing Big Data in Nova Scotia: Tim Webster, Nova Scotia Community College

What kind of data are you working with? Geomatics, lidar elevation What kinds of analytics are you using? Terrain modelling, flood inundation, hydrodynamic modelling. What are the problems your company/project/group is interested in solving? Accurate depiction of the coastal zone and earth’s surface to support models. How did you get involved in your line of work? Geomatics education. What are you most proud of in your work? Employing and developing HQP, advancing the knowledge of laser scanning methods and processing to derive useful products for Nova Scotians. What are the biggest challenges in your line of analytics? Data volume and computer speed, cleaning and processing the lidar point clouds. What’s the best advice you can give someone interested in getting […] Continue Reading

Look Who’s Doing Big Data in Nova Scotia: The Rounds

What kind of data are you working with? The Rounds is often called a ‘social network,’ and while our members don’t talk about their vacations, or their children or pets, it is ‘social’ in one very important way. Through social graphs, we mine data that measures interactions between physicians. These doctors are collaborating across specialties and around the country. Because of that, we can dig deep into their demographics and behaviors (read: who’s talking about what, where are they, and why does that matter?). What kinds of analytics are you using? We might, for instance, analyze a specific key word or topic; like juvenile diabetes. We can determine what demographic of doctors are most engaged around that topic. Is it […] Continue Reading

Look Who`s Doing Big Data in Nova Scotia: CogNova Technologies

What kind of data is your company working with? Over the last 20 years, I have worked with data from insurance companies, telephone companies and adhesive tape manufacturers to energy analytics companies, water management consultants and provincial health care departments. What kinds of analytics is your company using? The company’s mission is to provide consultation and services in the areas of data analytics, data mining and machine learning. What are the problems your company is interested in solving? We offer specific talent in the area of Transfer Learning applied to data mining. Transfer Learning is the use of data or models from one or more related source tasks when learning a new target task. Transfer learning is considered a major […] Continue Reading

Look Who`s Doing Big Data in Nova Scotia: ACEnet

What kind of data are you working with? ACEnet is a regional consortia of nine universities in Atlantic Canada and the Atlantic Canadian regional partner of Compute Canada, the national umbrella organization responsible for advanced computing in Canada. We provide advanced computing resources and expertise to researchers in the region and in so doing have been a catalyst for collaboration among researchers, institutions and industry in Atlantic Canada. We facilitate pure and applied research, accelerating discovery, innovation, commercialization and regional development, while keeping Atlantic Canada at the forefront of scientific research and furthering our intellectual economy. What kinds of analytics are you using? ACEnet provides researchers with access nationally to 182,000 cores, 500 GPUs, 16 PBs of storage and a […] Continue Reading

By Digging for Data, You Could Stumble on a Goldmine

Data in the 21st century is like oil in the 18th century: an untapped, immensely valuable asset. Technology, through machine learning, can use that data to improve our lives, may it be by filtering spam email or telling us which vitamins we need. Like oil, for those who see data’s fundamental value and learn to extract and use it there will be huge rewards. Machine learning is a way for technology to turn big data into every day applications, and the data itself are already part of our lives. Films like ‘Her’, about a man who falls in love with his artificial intelligence device,’ are smash hits at the box office. Retailers are using data about our previous purchases to […] Continue Reading

Data Is The New Oil: Untapped

Data in the 21st Century is like Oil in the 18th Century: an untapped, immensely valuable asset. And like Oil, for those who see Data’s fundamental value and learn to extract and use it there will be huge rewards. Let’s take a typical scenario. A hundred person recruitment company wants to hire an experienced consultant for themselves. What do they do? Generally, they will write a job description, give it to HR and start interviewing candidates. If you asked them whether they knew what they were looking for they’d say yes. Kahneman would call this overconfidence. I would call it naïve. The first step in recruiting a candidate five times better than average is defining what five times better than average looks […] Continue Reading

What Changes Will Big Data Analytics Bring?

Outcomes are an important motivator in the business world and beyond, but just how much are companies driven by the end goal that inspired their whole enterprise? What if the process of reaching a desirable outcome was more efficient because metric-based evidence had eliminated time-wasting efforts? Automatic data analysis will allow workers to significantly shorten the time dedicated to research and grappling to form insight needed for reliable, focused planning. As companies grow their presence on social media, through email, and obtain access to other data sets that could augment and inform their internal information, the chance to quickly understand a market shift grows more realistic. These new forms of customer information are growing in business thanks to content-driven marketing, […] Continue Reading

Navigating The Big Data Ups And Downs With Exploration And Discovery

Some people seem conflicted about big data at the moment.  On the one hand, excitement about the benefits of big data is at an all-time high. In the Analytics 2013 survey of 600 analytic professionals showed that 35% of companies were expanding their analytic investments because of big data.  Big data represents a world of opportunities to take advantage of our ability to measure just about anything and a wealth of new data sources including machine generated data and unstructured data sources.  On the other hand though, I’m starting to hear more skepticism.  I was recently asked, “Why is everyone so grumpy about big data?”  That question led to a discussion and white paper about the challenges some have had […] Continue Reading

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