There’s no doubt Robotic Process Automation (RPA) has exploded over the last few years. However, some are still unclear on how it’s doing now and where RPA will go from here.
So, we’re broadcasting UiPath Live to keep you in the know. We’ll review RPA market data and its state of health, and share UiPath 2019 results and key automation product advances.
Watch our broadcast now on-demand with Daniel Dines, UiPath CEO, hosted by Mary Tetlow, Global VP of Brand Experience, and Diego Lomanto, VP of Product Marketing.
What will you take away?
Why Gartner chose ‘hyperautomation’ as the #1 tech trend
Hear Saikat Ray explain—for the first time outside of a Gartner event—what hyperautomation is, and how it’ll evolve in 2020 and beyond.
Get an inside view on UiPath 2019 year-end results from our CFO
Get an inside view on UiPath’s revenue and financial performance year-end results in 2019 from our CFO.
An update on the UiPath product roadmap
Catch up on our product developments, like StudioX and Insights, plus get the latest on new releases like Process Mining (formerly Process Gold) that make up the hyperautomation suite.
How ‘A Robot for Every Person’ is becoming a reality
Learn how customers and academic institutions are building ground-breaking RPA programs.
Daniel Dines unfiltered Q&A session
It’s open mic time, so let’s hear what’s on your minds! Daniel will answer attendee questions live. Join to submit your questions.
Dig deeper with Explorer Expert
Transform expert knowledge into organizational insights
Customer-driven innovation
Measure the performance of your RPA operations
Gain situational awareness of all of your critical KPIs in one place – measure and analyze robot and process performance, queues, and business metrics in a single interface
Measure RPA’s impact on your bottom line
Easily quantify the money and time saved by your automations and benchmark their efficiency and performance over time
Simple setup
Deploy, launch, and use Insights in the existing Orchestrator interface--no complex setup or integration required
Integrated machine learning and forecasting
Utilize machine learning (ML) to forecast critical KPIs, including robot utilization and process bottlenecks
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