The 60th Annual Grammy Awards,
powered by IBM Watson.
There's a tremendous amount of unstructured data
that we process on Grammy Sunday.
Our partnership with the recording Academy
really is focused on
helping them with some of
their workflows for their digital production.
My content team is responsible not
only for taking all this raw stuff that's coming in,
but curating and publishing it.
You're talking about five hours of
red carpet coverage with 5,000 artists,
making that trip down the carpet
with a 100,000 photos being shot.
For the last five hours,
Watson has been using AI to analyze the colors,
patterns, and silhouettes of
every single outfit that has passed through.
So we've been able to see all the dominant styles and
compare them to Grammy shows in the past.
Watson's also analyzing the emotions
of Grammy nominated song lyrics over the last 60 years.
Get this, it can actually identify
the emotional themes in
music and categorize them as joy,
sadness, and everything else in between. It's very cool.
IBM Watson is actually
doing a lot of heavy lifting for us.
As it takes the guesswork out of unstructured content,
it is freeing up
my content team to spend its innovation calories
truly creating and telling stories.
Why was IBM the right partner for the Grammy's?
Because they're one of the most forward-looking
technology companies on the planet.
They've really rolled up their sleeves to help
the Academy deliver a better,
more engaging fan experience.
Fantasy sports are an incredibly
important and fun way that we serve sports fans.
Our fantasy games drive
tremendous consumption across ESPN digital properties,
and they drive tune-in to our events and studio shows.
But our users have a lot of
different ways they can spend their time.
So we have to continuously improve our game
so they choose to spend that time with us.
This year, ESPN teamed up with
IBM to add a powerful neat feature
to their fantasy football platform.
Fantasy football generates a huge volume of content -
articles, blogs, videos, podcasts.
We call it unstructured data -
data that doesn't fit neatly
into spreadsheets or databases.
Watson was built to analyze that kind of
information and turn it into usable insights.
We train Watson on millions of fantasy football stories,
blog posts, and videos.
We taught it to develop a scoring
range for thousands of players,
their upsides and their downsides,
and we taught it to estimate the chances of player will
exceed their upside or fall below the downside.
Watson even assesses a player's media buzz
and their likelihood to play.
This is a big win for our fantasy football players.
It's one more tool to help them decide which
running back or QB to start each week.
It's a great complement to
the award-winning analysts our fans rely on.
As with any Machine Learning,
the system gets smarter all the time.
That means the insights are better,
which means are you just can make better decisions
and have a better chance to
win their matchup every week.
The more successful our fantasy players are,
the more time they'll spend with us.
The ESPN and IBM partnership
is a great vehicle to demonstrate
the power of enterprise-grade AI to millions of people,
and it's not hard to see how
the same technology applies to real life.
There are thousands of business scenarios where
you're assessing value and making trade-offs.
This is what the future of
decision-making is going to look like.
Man and machine working together,
assessing risk and reward,
working in difficult decisions.
This is the same technology
IBM uses to help doctors mine millions of
pages of medical research and
investment banks fund market moving insights.
IBM is changing the game and changing the world.
