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SANJAY SINGH: More business to Cloud, more power to Cloud.
We see that 85% to 90% of the workload,
which runs today on prem, will work in the Cloud.
ADAM LEWIS: There will be acceleration
of shift in workloads from the data center to the Cloud.
More solutions will be determined between Cloud and.
Edge and understanding the architectures
and the importance and the flow of data
is going to be critical to getting
those end-to-end capabilities right.
Kubernetes will become business as usual.
More and more services will transform across
to containerize workloads and you
have to be ready to manage those throughout their lifecycle.
JANE CHUNG: Cyber threats will not slow down.
We need a scalable security infrastructure, right tools
and security automation.
We need consistent and comprehensive security
to protect our world against malicious cyber threats.
ANANT ADYA: Industry solutions.
Gone are those days when customers will look
at Cloud in a tactical fashion.
They're not going to look at Cloud for infrastructure
or for saving operations costs.
While that is still going to be there,
but they are going to come and ask for industry solutions.
So industry solutions, industry [INAUDIBLE]
and industry problems is something
that is going to becoming mainstream.
PAUL CARR: To me, Cloud is a massive prediction
in financial services.
We will see far more of our customers
looking at Cloud as their primary deployment tool.
Microservices will become far more strategic.
The ability to not implement complete solutions,
but to pick the parts of the solution that they need which
fits their requirements.
Multi Cloud, to me, will become the real strategic requirement
for the big financial services customers.
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GIL ROSEN: AI and Cloud are going
to have a profound effect on our industry.
It is estimated that by 2025 there
will be a total of 100 billion device
connections around the world.
More devices means more data running
across operator's network.
And by 2025, this data will grow by 10 times
to reach 175 zettabytes.
This puts a huge amount of pressure on networks and IT
systems, many of which are complex, legacy environments.
This is why intelligent automation is key.
AI and Cloud computing make the perfect match
for this data-driven innovation.
Customers are expecting a hyper personalized experience.
And this can only be made possible
if telcos not only consolidate and organize
that large influx of data coming across 5G networks, Edge
devices, OSS, [? B ?] systems and as such,
but also act on this data.
SANJAY SINGH: We will see and data and AI
be the center for all process automations and innovation.
Applications will no longer be static.
They will be able to make decisions,
and they will be able to change the processes based
upon the demand signals and data patterns coming in.
MARK URBANCZYK: I anticipate that organizations
that most strategically align their AI platform investments
will gain a competitive advantage in their industry.
ADAM LEWIS: Data is key to everything.
Having the right data platforms, the ability
to integrate data, the ability to build data pipelines
and to run the right algorithms that
enable you to do decision support
are fundamental to your success.
BRET GREENSTEIN: Volatility, change, the need for more data,
external data, understanding all the data
that matters has fundamentally changed things.
We're seeing the death of looking
backwards for operations.
What we're moving to, collectively as an industry,
is real time information flows, real time levels
of insights and significantly more predictive analytics.
So you know what's coming instead
of waiting for the report to show you what happened.
GIL ROSEN: As an industry, we make a meaningful leap
into what I call the Cloud Data AI Paradigm, or in short CDA.
There will be early adopters and followers,
and I predict the leaders who make
their companies become a full stack CDA company will win.
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MICHAEL TANG: This pandemic is really
going to help re-prioritize and re-calibrate the investment
in resources into building sound digital infrastructure.
And it's really going to amplify both the focus
from an executive level, the investments, and the velocity
in terms of how organizations need to digitally transform.
Secondly, the real challenge is around,
why even go back to normal?
Projects that were planned for months and years
were actually completed in weeks and days.
You know the term making mountains out of molehills?
The pace at which they've been delivering things
digitally have been making molehills out of mountains.
It's really an opportunity to almost redefine and reset
what Cloud actually means, because it
becomes both a mindset and an actual operating model
within an organization, versus just a destination.
It's really changing the conversation to what Cloud is,
to how Cloud can transform an organization.
JODIE WALLIS: I think the crisis has
shed some light for organizations
on the need for adaptable analytics platforms,
like GCP, with rapid data supply chain processes that really
allow organizations to react, respond, gain
new insights into not only the state of their business,
but the movement of their business over time,
as things evolve in the environment.
BRET GREENSTEIN: You're going to see companies become
significantly more agile.
And instead of worrying about what
was happening a month ago or two weeks ago,
you're going to be looking at what
is coming, what decisions you should be making and looking
ahead.
It's a very, very different business rhythm.
Operations leaders move to being forecasters.
And I can't think of a more important thing
than to be able to accurately forecast
what's coming, rather than looking backwards
at what happened.
ADAM LEWIS: The modernization initiatives
will begin to scale more and more.
More legacy workloads will start having
to transform across if people want to achieve
the real benefits of Cloud.
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