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Opinion: When is a hybrid approach right for the enterprise data warehouse?

After attending a recent analytics conference sponsored by Gartner Inc., I walked away with both new and updated information, as well as a lingering, disquieting observation. In a nutshell – there is lots of data out there with more pouring in every day. Yet it’s really hard to derive insights from it. As someone once said “We have oceans of data, yet only puddles of information.” While this is not breaking news, this perception persists largely because the prevailing enterprise

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Artificial Intelligence: Monster or Mentor?

Artificial Intelligence (AI) is everywhere these days. It’s simultaneously heralded as both the greatest thing since sliced bread — freeing us from driving cars, diagnosing diseases better, and so on — and the worst thing imaginable— displacing millions of jobs, and a step towards the inevitable AI domination of humans. In this blog series we’re going to dive deeper into several exciting examples where AI enables human workers to function at a far greater level of productivity than they would

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PHEMI Named a 2017 Gartner Cool Vendor in Healthcare Providers

PHEMI Named a 2017 Gartner Cool Vendor in Healthcare Providers for its Advancement of Precision Medicine and Clinical Research Initiatives Company’s big data management platform purpose built for integrating and analyzing large healthcare data sets with industrial strength privacy, performance, and governance  VANCOUVER, BC, May 1, 2017 – PHEMI, the company delivering big data solutions with built-in privacy, governance, and enterprise-grade management, says its status as a Gartner Cool Vendor for Healthcare Providers is based upon a big data warehouse

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PHEMI selected as a 2017 “Ready to Rocket” Company

PHEMI is excited to announce that we’ve been named one of the top Information and Communications Technology (ICT) companies on Rocket Builders’ fifteenth (15th) annual “Ready to Rocket” lists. The annual 2017 “Ready to Rocket” lists provide accurate predictions of private companies that will likely experience significant growth, venture capital investment or acquisition by a major player in the coming year. The lists cover 3 different technology sectors: Information and Communications Technology (ICT) Cleantech (CT) Life Science (LS) The “Ready to Rocket” lists are

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Capitalizing on Big Data with Data Science

It’s easy to get overwhelmed by the marketing hype these days around “big data.” But what does it actually mean in practice? What’s the difference between big data, data science and the kinds of analytics that organizations have been using for years? How do big data systems and modern data science work together to answer new kinds of questions? Scientific Computing spoke with Roy Wilds, Ph.D., of PHEMI, a Vancouver-based big data company, to find out. When people talk about

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IoT Predictions for 2017: Big Data, Orchestration, Standardization, and More

2016 has certainly been an exciting year in the burgeoning IoT space. Yet 2017 is expected to be even better; a recent note from 451 Research argues that seven in 10 enterprise IT buyers are now gathering IoT data, a figure expected to rise even further in 12 months’ time. Below, IoT Tech News has put together a series of predictions from experts at the sharp end of the industry. Agree or disagree? Let us know in the comments. 1. Real

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Executive Viewpoint 2017 Prediction: PHEMI

With analysts predicting a worldwide big data technology and services market valued at nearly $50 billion by 2019, it’s imperative to understand big data trends. PHEMI Systems CEO Dr. Paul Terry shares insights gleaned from working with CIOs and IT departments leveraging big data more effectively for analysis, business intelligence, data science, and discovery. Consensus Builds for Big Data Privacy and Governance Data Science Drives Greater Discovery Emerging Cloud-Based Big Data Solutions Big Data Warehouse Solutions Out-of-the-Box New Business Requirements

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Big Data on the Move: What’s in Store for 2017?

By Dr. Paul Terry, CEO, PHEMI Over the past year, there clearly has been some major movement in trends associated with big data. As we move into the New Year, it’s helpful to explore features that are quickly becoming essentials for organizations that want to get the most value out of their data, and help ensure their big data system isn’t a big hassle. By now, big data’s immense capabilities are well known. Businesses are excited to leverage all of

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DIY vs. fully integrated Hadoop – What’s best for your organization?

By Adam Lorant, VP Product Management & Solutions, PHEMI The trade-offs of building it yourself vs. going with a pre-integrated, out-of-the-box platform You don’t have to look far to see the amazing things that organizations are doing with big data technology: pulling information from past transactions, social media and other sources to develop 360-degree views of their customers. Analyzing thousands of processes to identify causes of breakdowns and inefficiencies. Bringing together disparate data sources to uncover connections that were never

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Data Product to Support Research On Human Genome

As human genomes are increasingly incorporated in patient records and research databases, information technology will be challenged to sort through the massive amounts of data to enable research and improve patient care. That’s the promise of new technology introduced by a Canadian company, which is building a product intended to help large provider research organizations that will need to manage massive databases to facilitate precision medicine applications. PHEMI, based in Vancouver, is releasing PHEMI Central Precision Medicine Edition to address

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