Next Pathway //
May 19, 2020
Next Pathway //
June 25, 2020
Recently named by The Globe and Mail as Canada’s hottest cloud start-up company, Next Pathway automates the end-to-end challenges our customers experience when migrating applications to the cloud
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your company is considering either an initial implementation of cloud-based
services or increasing and enhancing a cloud platform already in place, the key
factors in decision making often relate to money and capabilities. There’s no
question that the field of data science is booming with almost every company
either having at least one data scientist on staff or working with consultants
on a consistent basis. This rise in predictive analytics and advanced machine
learning techniques has gone hand in hand with the importance of cloud-first
Considering capabilities, we all know that cloud computing allows for
remote access to data from anywhere in the world along with strong security for
the private information your company collects from its employees and customers.
Plus, the speed and agility it offers with respect to analytics are
unparalleled when working with outdated localized data storage centers. For
example, consider a common task in data science specific to machine learning –
determining whether or not a new customer is likely to become a repeat
customer. Without going too far into detail, the data analyst needs fast access
to vast amounts of data on previous customers. If everything is still stored
on-site, they’ll either need to come in person (which is challenging with some
consultant based relationships) or you have to share it in a less efficient
method than if it was already in a cloud environment. When executed in the
cloud, this process is quick and easy and results in less of those elusive
“billable hours” charged to your company when it needs questions answered.
Having agile access to data for analysis reduces wasted time and resources,
allowing your company to move forward without producing as much digital and
physical waste on-site.
that we have covered the enhanced capabilities of cloud-based data, let’s talk
about how it can improve energy efficiency and how a lower energy demand
affects your bottom line. What do servers run on? Electricity, a bill that we
all pay, whether it’s for our businesses or our homes. Personally, I shut my
lights and laptop off to reduce consumption when I’m not using them but chances
are that you are not powering down all of your servers after dinner. This
technology increases electricity consumption twenty-four hours a day, three
hundred sixty-five days a year – despite not being accessed every second of the
day. There are service providers that devote themselves to providing
cloud-based data storage solutions and modeling their costs based on analysis
of what companies would typically spend if operating their own servers. Guess
what? Your business will definitely save on its bottom line, not only saving
money directly but also reducing its carbon footprint. You will no longer have
to occupy the physical space with servers and will reduce energy consumption
saving what was used to keep a data center up and running.
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