May 17, 2020

UiPath RPA: digital transformation through automation

automation
Digital Transformation
William Smith
2 min
The robotic process automation (RPA) market is ballooning - according to Gartner, the market grew by 63.1% in 2018
The robotic process automation (RPA) market is ballooning - according to Gartner, the market grew by 63.1% in 2018. McKinsey predicts that, by 2025, aut...

The robotic process automation (RPA) market is ballooning - according to Gartner, the market grew by 63.1% in 2018. McKinsey predicts that, by 2025, automation technologies, of which RPA forms a part, could have a gargantuan financial impact of around $6.7trn.

One of the main competitors in the market is the New York-based UiPath. Originally founded in Bucharest, Romania in 2005, the company has raised a total of $1bn over a number of rounds, with its latest Series D round raising $568mn alone.

What exactly is driving this explosive growth? In this month’s issue of Gigabit magazine, we spoke to Gavin Jackson, the company’s Senior Vice President and Managing Director EMEA, to get some answers and better understand the potential and possibilities of RPA.

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One key part of the RPA offering is the agility it can grant to established companies still beholden to legacy software. “Most large enterprises are looking at a digital transformation journey and looking to build a set of attributes that are very specific - the attributes of what you might consider to be a digital native, or startup, tech company,” Jackson explains. “Startups loathe waste. They loathe any kind of time spent on anything but building their products, serving their customers, and reinventing the world. These are the attributes that are so attractive for companies that have been around for a long period of time.” 

UiPath anticipates RPA to unlock human capacity and potential by eliminating busywork. “If you can get the robots to do all the drudge work, to stage data in a form factor that an analyst can then quickly view and chop stories from, you're getting the maximum impact out of that human, and they don't spend an ounce of time in the technical querying of data. They get to analyse the data and create stories that business owners can make good decisions with.”

You can read the full story here.

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Jun 23, 2021

Timeline: Nvidia

Nvidia
graphics
AI
enterprise
2 min
As Nvidia ramps up to activate its AI solutions, we take a look at the company’s history

1993 – Founding

Jensen Huang from AMD, and Chris Malachowsky and Curtis Priem from Sun Microsystems, saw a market to improve graphics performance with dedicated hardware. They sensed that computer games would become a huge market and set out with $40,000 to found Nvidia.

1993 – Funding

Having named the company after a file-naming system they had devised, the trio needed funding, which came in the shape of a $20 million venture capital round led by Sequoia Capital. 

1998 – Breakthrough

Nvidia had some success but their breakthrough would come with the introduction of the RIVA TNT graphics adapter. The following year, the company released the GeForce 256, which had on-board transformation and lighting. The GeForce comfortably led competitors.

2000s – success

Nvidia won the contract to develop graphics hardware for Microsoft’s Xbox and would go on to provide similar services to Sony for the Playstation 3. A slew of acquisitions and awards made Nvidia a household name in graphics.

2020 – Cambridge-1

The benefits of using the awesome power of graphics hardware to process other data was not lost on Nvidia, which announced plans to build the Cambridge-1, the UK’s most powerful computer. The company’s future in AI hardware development is virtually secure.

Photo credit: Nvidia

 

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