Conflicts
short of war?
Report
reveals play-by-play of first U.S. grid cyberattack
A
first-of-its-kind cyberattack on the U.S. grid created blind spots at
a grid control center and several small power generation sites in the
western United States, according to a document posted yesterday from
the North American Electric Reliability Corp.
The
unprecedented cyber disruption this spring did not cause any
blackouts, and none of the signal outages at the "low-impact"
control center lasted for longer than five minutes, NERC said in the
"Lesson Learned" document
posted
to the grid regulator's website.
But
the March 5 event was significant enough to spur the victim utility
to report it to the Department of Energy, marking the first
disruptive "cyber event" on record for the U.S. power grid
(Energywire,
April 30).
… "So
far, I don't see any evidence that this was really targeted,"
said Reid Wightman, senior vulnerability analyst at industrial
cybersecurity firm Dragos Inc. "This was probably just an
automated bot that was scanning the internet for vulnerable devices,
or some script kiddie," he said, using a term for an unskilled
hacker.
Nevertheless,
the case turned heads at multiple federal agencies, collectively
responsible for keeping the lights on in the face of an onslaught of
cyber and physical threats.
Low
hanging fruit.
What
enterprises intend to do with artificial intelligence
Business
process automation and customer support are foremost on the minds of
executives and managers buying or implementing AI systems, and where
many of the budget dollars.
That's
the word coming out of a survey
of
100 executives by Leverton, which looked at corporate motivations for
AI acquisitions.
Some
obvious uses for AI in my field.
… Machine
learning has the potential to disrupt nearly every industry during
the next several years, and the auditing profession is no exception
(Julia Kokina and Thomas H. Davenport, “The Emergence of Artificial
Intelligence: How Automation Is Changing Auditing,” Journal
of Emerging Technologies in Accounting,
Spring 2017, http://bit.ly/2Heshyk
).
Jon Raphael, chief innovation officer at Deloitte, expects machine
learning to significantly change the way audits are performed, as it
enables auditors to largely “avoid the tradeoff between speed and
quality” (“Rethinking the Audit,” Journal
of Accountancy,
Apr. 1, 2017, http://bit.ly/2Vxx7RB
).
Rather than relying primarily on representative sampling techniques,
machine learning algorithms can provide firms with opportunities to
review an entire population for anomalies.
Familiar
challenges to any change.
4
CHALLENGES TO ARTIFICIAL INTELLIGENCE ADOPTION AND THEIR SOLUTIONS
1. Gaining Organization-Wide Buy-In
2. Developing a Clear AI Strategy
3. Finding the Right Talent
4. Overhauling Existing Systems
For
my geeks.
Interactive:
The Top Programming Languages
This
app ranks the popularity of dozens of programming languages. You can
filter them by excluding sectors that aren’t relevant to you, such
as “Web” or “Embedded.”
Only
a scifi nut (like me) would be interested in this infographic.
AI
has been making science fiction dreams into reality for decades.
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