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HOW AI WILL CHANGE THE DATA CENTER AND THE IT WORKFORCE

Arthur Cole@acole602
March 18, 2022 3:10 PM
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Image Credit: Getty Images

Did you miss a session at the Data Summit? Watch On-Demand Here.

--------------------------------------------------------------------------------



Artificial intelligence (AI) is being unleashed on business processes, data
analytics and a host of other enterprise functions, but its role in data center
automation stands to change not just the data center itself but all its 
infrastructure — physical and virtual, to the edge and beyond.

As with most everything AI touches, the data center will become leaner, less
costly to operate and achieve higher performance metrics as the transition
unfolds, and much of what is done by human operators will be automated — just
like what was happening in the pre-AI era. Still, experts predict that the
shortage of qualified data center operators will continue and may even get
worse.

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TOP ARTICLES










AI OF ALL TRADES

Clearly, there are many ways in which AI can be used to automate data center
management. Rohan Sheth, of colocation provider Yotta, highlights some
low-hanging fruit, such as load management, power and resource consumption and
security. Still, he says, few organizations are leveraging AI to its full
potential, due to a combination of mistrust, lack of skill sets and the
potential risk for disruption.

This won’t last forever, of course. Citing research from Gartner, Sheth notes
that by mid-decade the transition from big data to small and wide data will be
in full swing, and this will put pressure on data centers to become more
flexible and less costly to operate. Rather than simply crunching through large
data sets, AI will use lower volumes of more precise data that will be culled
from multiple sources and will reside in multiple formats.

While the trend toward intelligent automation was on the upswing before the
pandemic, the sudden lockdowns and work-from-home culture that arose in response
has kicked the movement into high gear, says tech entrepreneur Don Basile. Over
the 2020 – 2021 time period, 83% of organizations increased their budgets for AI
and machine learning (ML), and this has already hastened processing speeds by
30% and has brought data bottlenecks to record-low levels. In part, this is why
research houses like Mordor Intelligence are predicting the market for data
center automation as a whole to more than double to nearly $20 billion by 2026.


IT JOB GROWTH

Automation is a scary word for any workforce, and the addition of AI to data
center management is causing no little concern in the IT department. But
according to a recent report from the Uptime Institute, the data center will
likely face a continued worker shortage even as AI becomes more prevalent in the
management stack. In fact, demand for human operators is set to increase from
today’s 2 million to 2.3 million by 2025, even as upwards of 90% of IT
executives expect AI to take on many of the rote, repetitive tasks of data and
infrastructure management. 

Among the top challenges that IT will face: managing the growth of data loads
while maintaining consistency and controlling costs, something that AI can
assist with but cannot handle on its own.

And while AI is poised to infiltrate many aspects of the data center, the fact
remains that much of the physical infrastructure is still not ready for the
change. A recent Gartner report noted that much of the mechanical infrastructure
is still lacking the kind of sensor-driven monitoring capabilities that are
essential to intelligent control. This means much of the data center
infrastructure management (DCIM) stack will likely remain on a manual footing
for a few more years at least, even as data loads and resource utilization will
climb due to the advent of 5G and the IoT-connected edge.

All of this points to a pretty good outlook both for AI in the data center and
the IT workforce. Continued job shortages will likely drive salaries up,
particularly for those who have augmented their resumes with AI skillsets, while
demand for increasingly sophisticated intelligent platforms proceeds unabated
over the next decade or longer.

At the same time, data users in the workplace and consumer markets should see
dramatic improvements in speed, accuracy and overall simplicity once AI takes
much of the complexity out of the user interface. And the modern data center
itself will be able to do more while consuming less, which is a benefit to all.

VentureBeat's mission is to be a digital town square for technical
decision-makers to gain knowledge about transformative enterprise technology and
transact. Learn More

Author
Arthur Cole
Topics
AI AI, ML and Deep Learning AIOps Platforms Applied AI Automation Data Data
infrastructure Data management Data science Enterprise





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