- IBM Servers, Storage Offerings and Maintenance Services
- IBM Software Products and SW Subscription and Support
- IBM Passport Advantage (PPA)
- IT Professional Services (provided by IBM, remarketed by PEAK)
- IBM Cloud Offerings
Chris DeAcutis, on Mar 22, 2018 8:47:35 PM
Paul Watson, CTO, on Sep 7, 2017 8:28:00 AM
Today’s IT environments are becoming more complex and integrated to accommodate the technology trends that improve customer experience and increase your company’s bottom line. Trends like cloud, mobile, big data analytics, and business collaboration require hardware and software that come from the portfolios of different vendors.
As enterprises undergo digital transformation, they struggle to adapt their IT infrastructures. Today, customer interactions, business processes, and innovation are all driven by data analytics. Streams of valuable data pour into enterprise data centers, taxing their storage and performance capabilities. Traditionally, companies have provisioned more hardware to meet demands. This strategy has resulted in siloed architectures and server sprawl that complicate management and waste money and energy.
Paul Watson, CTO, on Aug 10, 2017 8:21:00 AM
Cloud computing has become the norm for most companies. According to the RightScale 2016 State of the Cloud Report, 82% of large companies have adopted a hybrid cloud strategy. Of the companies surveyed, a staggering 95% either run applications in the cloud or have begun using infrastructure as a service (IaaS). Today, companies that refuse to adopt the cloud are the outliers.
PEAK Resources, Inc. is a consulting and services-led systems integrator with over 25 years of experience based in Denver, Colorado.
Rates of cloud adoption are increasing rapidly. Tech media company IDG predicts that cloud migration rates will accelerate from the 5% to 7% seen in the past couple of years to 18% to 20% in 2017. CloudEndure’s 2017 Cloud Migration Survey Report found the top 3 drivers for cloud migration were cost savings, security, and high availability.
A couple of ground-breaking announcements from NetApp have been released thus far this spring and summer. These recent announcements have included details on the release of converged and hyperconverged systems that are built on the SolidFire flash technology, which NetApp acquired in early 2016. They also released ONTAP 9.2, which will be the focus of this article.
Chris DeAcutis, on Jun 1, 2017 2:16:37 PM
Peak Resources, a B:CIVIC founding member company, provides consulting and professional services for IT Systems integration, and a focus to “Compute Globally and Invest Locally.” Their volunteer and philanthropy efforts are focused in education, particularly in working with local DPS schools. They provide the PEAK Scholarship for Technology; school garden support at nearby Fairview Elementary, and financial literacy programs through Junior Achievement.
Paul Watson, CTO, on Mar 22, 2017 8:04:00 AM
In our last blog, we explored the ways predictive analytics expand the use of Electronic Medical Records (EMRs) by using them to forecast trends that affect the health of both individual patients and whole communities. However, use of predictive analytics is only the beginning to gaining insights from the data contained in EMRs.
Cognitive analytics has opened new doors by enabling healthcare providers to use machine learning and natural language processing to further unlock the disease-fighting potentials of EMRs. These advanced insights serve as weapons in the war against cancer.
According to IBM, each patient generates 1 million gigabytes of health data, the equivalent of 300 million books. Without the data storage capacity of IBM POWER solutions for healthcare, providers struggle to store and process these vast volumes of data.
Not only is the volume of medical data overwhelming, but most doctor’s notes and scans are unstructured within the system. The natural language processing enabled by cognitive analytics draws associations between textual references so conclusions can be drawn. Cognitive analytics also construes images taken from MRIs, colonoscopies, and other tools used to detect potential conditions, like cancerous tumors.
Electronic Medical Records (EMRs) are a life-saving resource for healthcare providers. In an emergency, whether in the field or at a hospital or medical center, EMTs and doctors have access to a patient’s medical records instantly. When healthcare providers have a full picture of a patient’s past surgeries, current medications, etc., they can make quick and informed decisions about immediate patient care.
Data analytics can take using EMRs to the next level. This tactic enables an enterprise-wide comparison view of consistent data from many sources. By applying algorithms to EMR data, healthcare providers can forecast trends in the health of individual patients and entire populations for a more proactive approach to preventative medicine.
Here are 5 ways predictive analytics can be applied to EMRs:
Paul Watson, CTO, on Feb 16, 2017 9:00:00 AM
Healthcare legislation has been pushing the implementation of Electronic Medical Records (EMRs), sometimes also referred to as Electronic Health Records (EHRs). The benefits of EMRs include greater patient access to healthcare information, error reduction, and stronger reporting capabilities for compliance audits.
HIPAA and the Affordable Care Act encourage healthcare providers to adopt EMRs by offering higher Medicare and Medicaid payouts as incentives. The Medicare and Medicaid EHR Incentive Programs offer $44,000 in incentives through Medicare and $63,750 through Medicaid.
As attractive as these monetary incentives may be, adoption can be challenging for smaller practices and medical centers due to the cost. Instead of implementing their own systems, smaller practices go to larger hospitals and medical centers for EMR service. When hospitals become 3rd party providers for EMRs, it can become a burden as they struggle to scale to meet the additional demand.