thank you very much to KPMg for inviting me to be a part of this discussion and
It's striking to me that
the subject of intelligent automation is
Really I think at an inflection point
It's not a new technology of course, but it is a technology that's changing very quickly and today
We'll learn about how some of those changes apply in the government space of course you may have heard yesterday
That apple is just the latest company to make a big play in this space
They are introducing a new device that will compete with the Amazon Alexa
program with the Google home and and others I
Think it's very exciting to see that government is moving into this space with the rapidity
That it is. It's maybe they're moving into this space
maybe more quickly than any other technology space that I've seen in the
12 or so years that I've covered the federal government the executive branch
one example last summer almost a year ago now, I interviewed a woman named Mary elam alero of
citizenship and immigration services
They have a virtual assistant named Emma
that has a 90 percent success rate in answering questions for people who go to the cis website and
It is so effective and so
Conversational that people ask it out on dates
so that
Gives you an idea of the success that agencies are already enjoying with this
One of the agencies that you'll hear from today the general services administration
Has just started a pilot program and Justin Hermano and steel Justin Herman's thunder which is
hard to do quite frankly, but
They set up a pilot program in this area and they expected. Maybe a handful of agencies
They were prepared for up to six a half dozen agencies to participate
And he told me on government matters last night that they got almost three dozen
So there's a lot of demand here. There's a lot of interest and
There is a lot of desire for understanding how government needs to deal with some of the challenges that
the Private Sector quite frankly doesn't have to governance and
liability and privacy issues and others
will touch on each of those at various points during the discussion today and
The goal for the government people that are here today is for you to take
actionable information back to your agencies this afternoon to really be able to move forward and not just to say you showed up and and
learn something at this event so that you can go back to your organization's and
embed these ideas and principles in your agencies
So be ready to learn be ready to think and be ready to participate
We don't want this at all to be just something. Where you sit there and Soak up the
Information be ready to engage with all of the panelists and all in in all of the conversations and as connie said
on Social Media
Where these discussions now always take place?
To kind of set the stage for you for where we're going to go today to give you some
Context as to what this all means I would like to introduce to you the government intelligent automation
Lead for KPMg kirk verson so first off. I'd like to welcome each and every one of you this morning and joining us it's a
Beautiful day outside, so hopefully the commute into DC wasn't too bad, but so what I wanted to do today is really try to
Level set the rest of the agenda today with some of the terminology that you may hear
So the term intelligent automation is a pretty broad term so let's start with a video that would kind of get you thinking
about the future of
What this has to bear and then also I'll talk about the different classes of automation that we have so could you cue the video?
please
brains
Yes, that gray and white between your ears that matter
Arguably one of your most important assets
These brains have been responsible for some pretty amazing life improvements throughout the years like this
This and yes even this
Then came along human brains like these and gave birth to these brains
computer brains
Back then as with any unfamiliar thingamajig. It was scary at first
But humans adapted as humans do and life went on
Along the way brains like these evolved these brains even further
allowing them to Mimic human activities and take over repeated tasks things like this and this in
the near future they may be programmed to do things like this and
this
But probably not this and while many of these easily bored brains would say good riddance
It's cause these curious brains to think well. I still have a job tomorrow, or will robots take over the world
yes jobs will change and there will be painful dislocations in the short-term, but
Our lives will be radically transformed for the better
After all who wants to do the boring dangerous works? It's not these rings
Instead they'll be freed up to do the more important thing and these row drop ratings
We'll get to do the more menial and mundane thinking
Companies will no longer have to waste resources and talent on Low-level jobs that produce little value
They can now invest in new Technology
making the world more efficient
safer and generally a better place to live
Yes, the cognitive, era is upon us and one thing's for sure
Human brains aren't becoming obsolete any time soon
They still need to invent and build these other systems
interpret their findings
Evolve them and keep them in line
Our brains will never stop questioning for starters
what does all this automation mean how do we plan for change and
how do we get ahead of
We might not have all the answers now, but we're figuring it out. Just like we've always done before
By putting our heads together and thinking home
So I think it's interesting when you when you look ahead to the future
some of the possibilities and while some of that video talks about
The displacement of workers I would say that it's not really about labor arbitrage automation is more about
Labor augmentation and so think about the message in that video around
Knowledge workers doing things that require more brainpower if you will
So before we get into what we feel as intelligent automation is I'd like to go over some myths of what it's not
so again
Intelligent automation does not replace humans
labor augmentation is critical especially in government think about the hiring phrases that we're all under think about the budget constraints think about the
backlog of
Tasks that are sitting on someone's desk and getting bigger and bigger every day
So the human intervention in automation is critical for the success of this technology
Of course you saw a lot of robots in the video. This is not a physical robot
These are these are software agents these are things on a platform that integrated certain levels these are data. Heavy
cognitive engines on some cases
So these are not physical robots although there are some case studies around cognitive and hardware robots being conjoined
The other myth is well. I've got a bunch of bots on my networks running around unsecure
And I'll get into this when we talk about mainly class one robotics process automation
but essentially the Rp a piece of this runs on your networks operates within your security environment and has complete and full auto logs and
Then finally I believe Francis touched on this earlier. This is not new for public sector
This is something that's been in place for years with the advent of newer technologies Cloud computing
It's becoming more into the forefront in the latest
Latest years so a bit of an eye chart
but what I wanted to do is again level set what we
Categorize at least at KPMg are the different classes of intelligent automation and again. This is our perspective at KPMG
You'll see different different. Analyst perspectives as well and different private sector companies have different perspectives, but for us it
Is interesting to look at this and say well?
How can we categorize this so we can talk about this intelligently so let's start quickly with class 1 so class 1 is
Essentially robotics process automation everyone's probably heard of Rp a class 1 is essentially automation of very transactional
Routine mundane tasks that are rules driven that are
That have structured data and that don't really require much human intervention to automate these processes, so an example would be
automating the reconciliation of a sub ledger to a general ledger
If you've ever run an excel macro. This is a very similar technology to an excel macro
When you go up the stack and again, this is not a maturity model
But when you go up the stack to class two class two takes
What was in class one and adds things like natural language processing and pattern recognition and learning assists?
So what that means is let's say for example. I'm a business analyst and I'm running an rPA about on my desktop
Over time the the bot will say hey I've noticed this really repetitive
Task that you've been doing over and over again
Would you like me to automate it for you, so adding a bit of learning and pattern recognition to the bot?
Itself on the network and then again natural language processing is key for ingest of large amounts of documents and optical character recognition
through things like PDf and word documents and
Then class three that's really the and let me give you an example of class two before
I move off of class two, so think about you've heard of virtual agents or chat bots, right?
so you've essentially added natural language processing to something as automating something in your in your back office, so
Doing a password reset through a chat
Bot would be a way to to showcase that that use case and then class three is essentially the cognitive piece
That's the Ibm Watson's of the world you'll hear from Ibm Watson today, but that's heavy Datasets very large
Cognitive engines AI and machine learning that are involved in the class three pieces so so again these these are ways for us to
Talk about this and some of these technologies overlap among the three classes, but it was important
I think for us to level set the day and so again
We've talked about this initially you know these are these are things that can help us with a number of things given the environment
We're in you know the citizen engagement
Reducing those backlog making sure that we can keep up with citizen demands
24/7 365 is the way that these things can run so they don't take holidays. They don't take
Weekends, they're working however you want them to work
Speed these things work
typically third of the time that a human would operate so when you'll see some videos today from our vendors
Automation anywhere and and Watson some of these in action you'll see how fast they move
Quality and accuracy the bots will do what you want it to do, right?
you will train that technology to do what you want us to do so essentially it will do that every single time and
And obviously there's some maintenance to go along with it
But it's going to operate as you want it to operate and again employee satisfaction
So those Routine mundane tasks
But folks don't normally want to do well the bots can actually take over some of that and kind of have a virtual assistant on
Their desktop to help them do some of those things and so
So I think it's important to kind of talk about that and one other thing I wanted to mention about government agencies
Is there was a very large?
Offshoring move back in the late 90s early 2000s where shared services were moving offshore?
Due to the savings involved in the direct cost of employees well government never had an opportunity to really do that
so now government has the opportunity to really jump in and take on automation and
essentially leapfrog the commercial environment
So you know I would argue that
Government is actually somewhat ahead of commercial and in that way and so I think it's important to remember that the use cases in government
Are plentiful and the opportunity is now?
you
Không có nhận xét nào:
Đăng nhận xét