Industry executives and experts share their predictions for 2021. Read them in this 13th annual VMblog.com series exclusive.
Remote Work, Digital Transformation, and AI Innovation in 2021
By Nikhil
Handigol, Co-Founder, Forward Networks
The COVID-19 pandemic was the
most impactful event of 2020. It's been almost a year now since most Americans
started quarantining and social distancing to stay safe during the pandemic. While
we all hope to see an end to the pandemic in 2021, some of the changes induced
by it are here to stay.
Distributed
workforces driving digital transformation
Workforces that went completely distributed will
likely stay that way, at least partially. This is being driven both by employee
and business interests. Research
last year found that 76% of workers want to continue working
from home at least 2.5 days per week, on average. And tech leaders like Google,
Microsoft, Uber, Airbnb and others have extended their remote work policies
through late 2021 - or indefinitely.
With companies relying on and enforcing remote
working policies during these months, employees have learned to become masters
of the art of Zoom, embrace file sharing services, and spend much more time on
conference calls. Naturally this has been a boom of digital services - and has fundamentally
changed how we work and do business. Most companies have had to switch gears
from considering digital transformation to aggressively adopting it. As new
collaboration services were adopted to support employees now forced or
encouraged to work remotely, many internal operations and processes had to
similarly go digital. Dell's 2020
Index found that eight in 10 organizations have
fast-tracked some digital transformation programs this year and 79 percent are
re-inventing their business model.
The new approach to work will challenge infrastructure.
This fundamentally changes how online services and applications are delivered
and consumed. To work effectively, users need to be able to consume a variety
of services from anywhere, including their homes. This, in turn, increases the
demand on the underlying network and security infrastructure. The network
infrastructure needs to be able to support the growing demand, which will
further accelerate the deployment of 5G. Complicating this even further is that
enterprise networks are already labyrinthian and difficult to manage
effectively.
Even before the pandemic, IT teams were struggling to
keep up with such business demands in a way that didn't inhibit growth or increase
risk. Gartner found
that 80 percent of network outages are caused by people and process issues,
with more than 50 percent of those outages caused by change configuration
issues. With a fully distributed workforce, there's no
well-defined security perimeter anymore. The approach to cybersecurity will
have to continue to shift from traditional to one based on zero-trust.
Innovation
initiatives will see renewed interest.
With an end to the pandemic somewhat in sight, many
of the initiatives that had to be put on hold will see renewed interest in
2021. AI/ML techniques will be used in new ways and in new domains - including
networking. One area of particular interest is how AI/ML techniques will be
used to make the underlying infrastructure smarter and more robust to meet the
increasing demands of business applications.
In fact, new intent-based systems are already
appearing on the market to address many enterprise needs and pain points. These
services are helping enterprises eliminate much of the manual configurations
and inputs that IT teams normally need to go through, allowing businesses to
free up more time and resources to spend on product development or service
optimization. That is simply one example, but overall 2021 should be a year of
tech growth and innovation - more so than ever before.
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About the Author
Nikhil Handigol is co-founder of Forward Networks. He
is also a Computer Science PhD from Stanford. As a member of the Stanford team
that pioneered SDN/OpenFlow, his research focused on using SDN principles for
systematic network troubleshooting (NetSight), flexible network emulation
(Mininet), and smart load-balancing (Aster*x). Previously, he worked at SDN
Academy, ON.Lab, and Cisco.