Machine Learning and AI
As artificial intelligence plays a more prominent role in our lives, the
demand for skilled machine learning and AI workers has skyrocketed. Growing
volumes and varieties of available data have accelerated the need for
computational processing that is more efficient.
Machine learning allows organisations to quickly and automatically produce
models that can analyse bigger, more complex data and deliver faster, more
accurate on a grand scale. The
widening data skills gaps
means that companies across the globe are perpetually searching to find
data professionals with machine learning and AI skills, including:
-
reinforcement learning
-
adversarial learning
-
decision trees
-
logistic regression
-
supervised machine learning
The more skills that you can learn and offer, the more valuable an asset
you’ll be to any forward-thinking, tech-orientated organisation.
Programming
While it is possible to be a valuable member of a data team without being
an expert programmer, a data scientist needs to be very comfortable with
coding.
Python is the golden standard for data scientists and is rapidly becoming
the most common language in data. Its simplicity, availability of libraries
and high support for deep learning make it a popular choice among tech
firms, and employers are constantly searching for data scientists who are
proficient in Python. However, skills in R, Julia and other languages are
also desirable, therefore it is beneficial to ensure that your programming
skills and knowledge are in tip-top shape.
Data visualisation
It is important to paint a clear and engaging story with data to ensure
your core message is delivered to your audience. Every professional
industry can benefit from having a comprehensive understanding of their
data. As a result, data visualisation is expanding to all fields where data
exists. Through visualisation, companies can accurately display their
points and use clear information on the data for their benefit.
The ability to visualise and interpret data is essential and a trait that a
variety of data employers are searching for and can help you take a huge
step in your
data centre career.
Data mining
Data mining is the process of identifying anomalies and patterns within a
large set of data in order to accurately and efficiently predict outcomes.
Organisations can use this information to increase revenues, enhance
customer service, cut costs and more.
We’ve already mentioned the staggering amount of data that is produced
daily, and
unstructured data makes up 90% of the data universe. Data mining skills are becoming increasingly important to companies as
they allow them to sift through a huge amount of data, identify how much is
useful, and use that data to accelerate the pace of making informed
decisions. Workers skilled in data mining are becoming more and more
important and it is now an essential skill to possess in 2021.
Find your next job in the exciting data centre market
It’s an exciting time to be working in the data centre market and the
industry shows no signs of slowing down anytime soon. Start the search for
your next data centre job
with Quanta and join the market at an exciting time.
Can’t find the job you’re looking for? Contact us and one of our specialist
data centre consultants will be in touch.
