Practice English Speaking&Listening with: UiPath 2018.2 Release - A Cognitive Leap for Enterprise RPA

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At UiPath the most important thing we do is work

to make your automations powerful, efficient and always easier.

Theres a lot at stake:

AI is happening.

Machine Learning,

Natural Language Processing,

Deep Learning...

It's complicated...

It's also strategic.

But weve figured it out:

how to make sophisticated RPA achievable with AI

and some of the impractical parts of AI usable and simple with RPA.

Todays release, the second iteration of our 2018 edition,

makes important progress on RPA as the path to AI.

As part of RPA what we always have done for our customers

is drive digital transformation

and AI has always been a key component of our technology,

but the advances in AI we are starting to embed artificial intelligence more and more

into every aspect of our product.

Python is the worlds most popular programming language for data scientists

to build machine learning models which you can now use in UiPath,

calling them directly from Studio and designing them directly into your process automations.

It is a big deal.

You will automate more processes with fewer exceptions raised, creating more workforce capacity.

When dealing with machine learning in general, as most people probably know,

there's data scientist that are building machine learning algorithms and models

and then the RPA developers are the ones that are actually using those models.

And RPA developers to use those models, they have to call them somehow

and usually the models are written in Python which is a programming language loved by these data scientists.

Right now we have a very simple way to invoke Python code directly from the robot.

Our Robots are getting smarter.

With tightly integrated cognitive capabilities from Stanford Natural Language Processing,

they can now process and interpret natural language in emails and documents.

The sky is the limit!

We looked around and we identified Stanford NLP library to be very reliable

and a lot of our customers are already using it,

so we've created a way to make it a lot easier

to be able to invoke Stanford NLP APIs directly from the robot.

Let's say I'm developing an automation that goes on Twitter and decides whether a twitt is something positive or negative

and then based on that you can send it to different queues for people to respond to those twitts.

You can easily do that right now.

When youre on top, staying there requires agility in the face of change.

So we came up with a new licensing model for ease-of-use at scale and flexibility:

The new Concurrent licenses are capacity-based

and can be used by any number of people working in shifts.

Its a first step towards RPA-as-a-Service and its ideal for service providers

and for large multinational corporations with centralized RPA operations.

With 2018.2 we've introduced the concept of concurrent licensing model.

And what that actually means is that you can buy let's say 10 front office user licenses

but if you have 20 employees that work in shifts you can use those 10 licenses,

you don't have to buy 20 named-user licenses.

We feel comforted when our customers are reassured.

Our Platform just passed a serious test and is now certified by Veracode,

the most important and highest rated security certification in the industry.

We went through their certification process

and we had a number of things that we had to fix and change in our architecture

and right now we have that stamp of approval from them.

And to top it off, we brought in Tableau to offer the full extent of interactive analytics

to measure and improve RPA performance in real time.

Youll be able to drive quick decisions on the fly.

Because to stay on trend, you must go fast.

Before 2018 we were releasing once or twice every year.

Starting with this year we are going to be a lot more agile,

meaning that we are targeting 1 release every 3 months, so 4 releases per year.

We are trying to get into this mode where every 3 months we have something new

and respond to customer feedback and align it with our product strategy.

At UiPath we iterate rapidly.

Wed rather give you the time, so you can really focus on your strategies

and forge a better future for your business.

We have a relentless focus on customers and on driving customer success.

We believe that we are successful only if our customers are successful

and we work very closely with our customers in not just making sure they are successful

with our product but also taking a lot of their input

in driving a product roadmap and product strategy based on that.

So I think that's truly differentiated about UiPath and what we are trying to do.

There is a great deal of work to be done,

so hold tight and well see you through.

The Description of UiPath 2018.2 Release - A Cognitive Leap for Enterprise RPA