Bet on dreamy businesses that have an unlimited upside. These dreamy businesses have 4 characteristics: 1) Customers love them. 2) They grow to very large sizes. 3) They have strong returns on capital. 4) They can endure for decades.” Robots Businesses Intelligence in Future Work Technologies
When you look at the composite parts of
As a privilege of my job leading Amazon Web Services (AWS) in the region, I had close proximity to the challenges large enterprises and governments face in serving their customers and citizens in the manner they expect in the digital age.
I had equally close proximity to the ‘new kids on the block’ and their insurgent mentality. These newcomers are born-digital with native characteristics like a voracious appetite for harvesting value from data, a loathing of wasted capital, and time spent on
My experience with larger enterprises and governments tells me that these characteristics are a simple articulation of what they want to achieve too, the larger organizations just call it “digital transformation.” A common tenet that customers cite for digital transformation strategy is to “use technology and platforms to remove the undifferentiated heavy lifting from humans to enable them to focus on innovating for customers.”
This is where my former team at AWS (other cloud platforms are available) had been successful over the past decade – helping customers remove the undifferentiated heavy lifting of procuring and managing technology infrastructure, so they could innovate faster for customers. The parallel I’m drawing here is that cloud platforms have helped customers free up time and accelerate innovation by helping them implement a cloud-first operating principle.
But the same is true for all work, not just DevOps and IT Ops. What if you could remove undifferentiated heavy lifting of all work in all functions? How much more innovation and customer focus could we achieve? Enter the world of intelligent automation.
According to McKinsey & Company, “Companies that deploy intelligent automation technologies can realize substantial performance gains and take the lead in their industries, even as their efforts contribute to
This speaks to every human worker in every field of work. Imagine just how innovative, data-centric, customer-centric, productive, progressive and happy we could be. Imagine the same
So, when making my bold bet, (thanks to the Amazon culture of customer-obsession) I had the luxury of reducing the odds by really listening to customers and understanding what they really, really want. Customers of all sizes loathe waste. Companies in any industry want more of their precious human and financial capital to be dispersed in the process of innovation for their customers.
Every worker in every company and industry knows they expend several hours of work every day that is not contributing to the process of innovation or differentiating in any way, and yet we all know we must do it.
Every company seeks the path of least resistance. Increasingly, that path is led by software and data. And in every case, the path between the worker and the software and data is the user interface (UI).
And so, I have bet on UiPath.
I admit it
If Iron Man were real in today’s technology paradigm, I can imagine Tony Stark
Then, I can imagine J.A.R.V.I.S.
It’s currently number 62 in their queue. I found the drawings, but my machine learning (ML) algorithm doesn’t understand the image. So, I can’t give you any intelligence on that. As for the probability of success – I’ll get back to you.”
As incredible as this narrative sounds, it’s not too far away from real-world scenarios. Asking simple business questions does not render simple or immediate business answers. Processes are manual, systems are disparate, and data sources are plentiful. The amount of human effort in the
While we’re not quite ‘Iron-Man-ready,’ UiPath robots are super smart and getting smarter every day. Our robots can extract content in a variety of forms, from a multitude of systems. They can understand context and make intelligent decisions. They can extract data from many sources and read and write to a variety of databases. They have embedded skills like process understanding, document understanding, conversational understanding, and visual understanding.
They integrate with UIs, including digital voice assistants. They connect to a myriad of system APIs. They can be unattended and work to automate a downstream process workflow.
Company grows to a very large size
Incumbent digital transformers as well as Ui
We have only scratched the surface of abundance. Much like Bill Gates’ declaration in 1980 to have a computer on every desk and in every home, our founder, Daniel Dines, has a mission to have a robot for every worker and for every human. He envisions software robots that work for people every day to improve their lives and accelerate human achievement.
Customers love it
Our mental model at the tip of the UiPath flywheel is to produce automation solutions customers value and love.
We aim to produce solutions that can provide empirical evidence of business value and that also induce real feelings of emotion, such as relief, surprise, happiness, and even love. Imagine a project that pays back
Building solutions that customers value and love requires an ecosystem of like-minded partners.
Our partners are companies that are solving problems or creating opportunities for customers and see automation as being on the critical path. Examples would be horizontal software providers (like contact center, procurement, HR, sales, marketing, etc.) and vertical industry software providers (like banking, insurance, telecoms, retail, etc.).
We have more than 400,000 people using our open and free learning platform, which in turn is accelerating our customers’ ability to build their own automations.
Many of our customers submit their automation workflow designs to our open and free marketplace, UiPath Go!
Customers really do love what we stand for (open) and what we deliver (solutions to value and love).
It can endure for decadesTo coin another Bezos(ism), it’s still day one for intelligent automation, RPA, and AI, in what we estimate to be a $6 trillion opportunity.
To coin another Bezos
We are at the early stages of widespread enterprise adoption and the categories are still being fully defined. After all, is UiPath an automation company? Sure. Is it a robotics company? Kind of. Is it an AI company? Absolutely.
Fullness of time, customers of all sizes, across every industry, on every continent will have executed their digital transformation strategies. These strategies will include operating principles like cloud first, customer first, automation first, and AI first.
Consumers will increasingly make buying decisions based on what their software robot assistant recommends, and it will execute tasks intelligently on our behalf. The augmentation of human and robot workers will be the new normal.
In the final analysis, no bet is ever a sure thing. I have learned from the best minds in the world that if you focus on customers and make them the center of your universe, you can’t go far wrong.
I believe the culture of UiPath is very well aligned with the culture I am accustomed to, which centers on customers.
I believe that AI-powered automation first is as pivotal – if not more – to digital transformation and human progress than cloud first was, but that they are two sides of the same coin.
I can imagine UiPath being a generational company, enabling my children to enter the workplace with the skills to manage and put software robots to work on their behalf.
I’ve rolled the dice. Therefor, I hope I have built trust with customers and partners over the years and that they open their doors to this new possibility. Only time will tell.
This content is taken from https://www.uipath.com/