Welcome!

Artificial Intelligence Authors: Yeshim Deniz, Pat Romanski, Elizabeth White, Liz McMillan, Zakia Bouachraoui

Related Topics: @CloudExpo

@CloudExpo: Blog Feed Post

Cloud 2.0 – Global Cloud Leadership from Canadian Healthcare

A massive step forward in cloud computing best practice trend-setting

With my mission for the Canadian Cloud Best Practices Network to be a showcase of locally home-grown Cloud innovations and expertise, then it’s great when this can be achieved by talking about powerful, global-level capabilities.

In this case I refer to the recently released Cloud Computing in Health strategy document released from Canada Health Infoway, the principle eHealth standards organization for Canada.

This is a massive step forward in Cloud computing best practice trend-setting, globally as well as here in Canada, so it will be a very exciting program to profile.

Achieving a global audience through these assets is the primary reason I focus so much on reviewing and showcasing Canadian Government R&D in this area – Global level innovations attract a global audience…

Cloud SOA

The document is significant because it builds on the foundations of NIST, the USA standards body who has defined all the baseline Cloud models thus far.

Whilst these are globally recognized there are also limitations, mainly centred on them being somewhat rudimentary. For a broader view and for more sophisticated capabilities in key areas we can also look to other industries, organizations and nations.

Health Infoway are a great example because of their role as a standards body for such a significantly important value chain, eHealthcare, and so this presents a great opportunity for Canada on a global stage.

Infoway is especially interesting to the Cloud arena because their fundamental purpose in life is to define a SOA blueprint (Service Oriented Architecture) for implementation in Canadian eHealthcare.

This is achieved through the ‘HIAL’, a localized implementation of the SOA tailored for Canadian eHealthcare. To further map this to a Cloud model would be a major step of progress in the Cloud field internationally.

For a very brief intro to Cloud SOA, check out this Rackspace blog.

Cloud 2.0

Furthermore the document also has a headline focus on the cutting edge topic of “Cloud 2.0″, which as the picture suggests encapsulates:

  • Cloud – Speedier time to deploy new applications.
  • Social media – These applications can be online Web 2.0 communities, with powerful business process tools built in.
  • Crowdsourcing – Equally new organizational models can be leveraged, most notably “Crowdsourcing”.

As Infoway describe in their paper they recognize this overall trend of social computing blending with traditional IT:

We see a logical and necessary fusion in the use of cloud to support mobile computing, social computing, analytics and consumer enablement.

The paper covers all the related technology components – Privacy, encryption,  et al, and also makes the backbone point that the Cloud is ideal for implementing their SOA recommendations:

In addition, jurisdictions may wish to deploy multiple HIALs, or they may wish to improve scaling and extensibility of a single HIAL through virtualization of services. The SOA upon which the Blueprint for EHR solutions is based is well suited to transition to a cloud-based IT model.

So this Cloud SOA reference architecture as part of a Cloud 2.0 strategy is a very powerful focus – Indeed what I think is the single #1 ‘tipping point’ aspect of what will spur Cloud adoption.

Secondly I also think the biggest sector to adopt Cloud will be Healthcare, so this is a Home Run opportunity for the Canadian Cloud industry for sure. Stay tuned for lots more to come…

Read the original blog entry...

More Stories By Cloud Best Practices Network

The Cloud Best Practices Network is an expert community of leading Cloud pioneers. Follow our best practice blogs at http://CloudBestPractices.net

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...