Uploaded on Feb 26, 2022
The Olympics have long been a showcase for technological advancements. Every four years, we should expect to witness advancements in computing power, as well as breakthroughs such as cloud storage, Big Data, and Computer Vision. For instance, the Rio Olympics were no different. With a $1.5 billion IT budget, which includes all game data saved on the cloud. In 2012, London hosted the world's first Big Data-driven Olympics, with 60 gigabytes of data sent per second and 15 terabytes of data generated daily by fans across the world via social media sites like Facebook and Twitter. This is insignificant in relation to our current reliance on data analysis.
How can Big Data and Analytics Help Athletes Win Olympic Gold in Beijing 2022
HOW CAN BIG DATA AND
ANALYTICS HELP
ATHLETES WIN OLYMPIC
GOLD IN BEIJING 2022?
https://datasportsgroup.com/
The Olympics have long been a showcase for technological advancements. Every four
years, we should expect to witness advancements in computing power, as well as
breakthroughs such as cloud storage, Big Data, and Computer Vision.
For instance, the Rio Olympics were no different. With a $1.5 billion IT budget, which
includes all game data saved on the cloud. In 2012, London hosted the world's first Big
Data-driven Olympics, with 60 gigabytes of data sent per second and 15 terabytes of
data generated daily by fans across the world via social media sites like Facebook and
Twitter. This is insignificant in relation to our current reliance on data analysis.
Thanks in large part to statistics, the next generation of Olympic athletes was well
prepared for the Tokyo 2021 Olympics and are now preparing for the upcoming
winter Olympics Beijing 2022. Before they even stepped onto the field, coaches
analyzed a range of data, ranging from historical player performance statistics and
trends against the competition to fitness measurements like jogging averages and
how many push-ups each athlete can do at once. This is Big Data analytics: utilizing all
available sources and, in essence, optimizing each exercise with precise details about
what has performed best in the past for a certain application.
These cutting-edge gadgets provided data
of an athlete's motions, allowing coaches to
figure out how much more training they
required or if they were overtraining. It
could also be used during training, with 3D
modeling providing visualizations from all
angles, ensuring that you never miss
anything live on the court again, and
allowing players to better understand what
they need to work on after each match.
Sports teams, like businesses striving to understand the potential of analytics, are
discovering that a comprehensive approach to data management and strategy is likely
to pay off. The trick is to bring all of this data together, and in a similar vein to the
business sector, sporting organizations are increasingly recognizing the necessity of
partnerships. The technological skills required to construct a Big Data-driven analytics
system are not common among elite sports scientists and physiologists.
Another difficulty is that the sport necessitates a delicate balance of strength and
endurance. As a result, conflicts in training regimens might occur, as strength training
can work against endurance training and vice versa. Large amounts of previous
performance data can help overcome this obstacle by indicating exactly what gains a
sportsperson is likely to make when treated to a specific regime.
Athletes are less likely to be injured and
spend less time recovering as a result of
this unified approach to analytics. Warning
flags can be found across all datasets –
physiology, gym, medical, race performance
– and compared to previous data to reveal
when an athlete is on the verge of pushing
oneself too far.
Thereby, this is exactly why data can help
an athlete to win Gold in the Olympics.
Data plays an integral part not just to major
giants or just businesses, we just saw by the
above case, how data can actually make
someone win and thrive off. Continue
Reading!
Thanks to improved processing capacity, Machine Learning concepts, and Artificial
Intelligence, the combination of technology and Sports Data Analytics has opened
new opportunities for teams to examine every small aspect of players. In fact, using
wearable sensors and Cloud processing power, data is now available for both in-game
activity and past games.
Some of the world's most powerful digital companies are now collaborating with
major sports teams to develop wearable technology that helps them monitor player
performance and individual data, particularly in terms of health. This also allows them
to track fitness levels in great detail, which was previously impossible.
These gadgets and sensors come in a variety of sizes. Players don't have to wear
them; they can be woven into the fabric of their jerseys, embedded in sports
equipment such as balls or bats, or even worn in their shoes. The data is then sent in
real-time, allowing coaches to keep an eye on their players from the sidelines and
make quick judgments.
You'll need to find a reliable data source that can be quickly updated with new
information and then processed to increase the odds for live matches. Look no further
than Data Sports Group, which is one of the most reliable sources of Olympics data
API solutions. The information offered is factual, useful, and well-refined!
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