IT - AI

Understanding RPA For The Enterprise
Information Age, July 4th, 2019
Understanding RPA is difficult in this increasingly saturated and confusing market, in this article, Blue Prism's Colin Redbond defines what it means to him and his team

"RPA technology's potential to drive seismic change across the world's workplace has created a rapidly expanding market. Currently, over 40 companies offer some form of RPA and all possess a vastly different heritage - which means that not all RPA solutions are created equal. Selecting the wrong solution is often the cause of failed projects, the introduction of 'shadow IT', or worse. Therefore, in this increasingly confusing and saturated market, we feel that it's important to define why our RPA is designed to be 'enterprise strength' and why it's very different from the rest..."

Robotic Process Automation (RPA): 6 Things People Get Wrong
The Enterprisers Project, July 2nd, 2019
To avoid trouble with robotic process automation projects, explain these common misconceptions to your team - and to executives supporting your RPA work

"You have a variety of factors to consider when identifying opportunities for robotic process automation: If a process is predictable, repetitive, and high-volume, for example, it might be a prime candidate for RPA.

However, due to high expectations - and sometimes misplaced hopes - some people veer off the path to a successful RPA initiative before they really get going. When this happens, it can be the result of a basic misunderstanding about what RPA is or how it works..."


The Wimbledon tennis championship is among the world's most prestigious sporting events. First held in 1877, it's also the oldest tennis tournament in the world

"Much has changed in the past 142 years - from the players' attire to the quality of their equipment - but behind the scenes an AI evolution is transforming how footage is captured and curated for public consumption.

For context, Wimbledon has 18 grass courts, which host nearly 700 matches over a two-week period, spanning men's and women's singles, doubles, mixed doubles, and more. The six main 'show courts' alone - which host the most prominent matches - each average around four matches a day. For the first time, last year all 18 courts were televised, using a mixture of 'manned' and 'robotic' cameras. This can give viewers unprecedented access, but it also creates a heck of a lot of footage, too much for mere mortals to sift through in a timely manner. This is where IBM believes automation can help..."


Research indicates that employees understand the benefits of robotic process automation (RPA) and are more willing to use it to help them deliver better service experiences

"75% of employees believe RPA will improve their performance, reduce errors, grow sales and increase customer experience, according to a survey by NICE.

More than 2000 employees in the US and UK were surveyed for NICE's State of Automation in Customer Service survey. Significantly, managers and employees both believe in the benefits of automation, but for different reasons..."


Is it useful to study how companies outside of your industry are applying AI? Experts from Shell, Uber and Fellow Robots believe so. Read about their criteria for success in AI

"Deval Pandya, lead data scientist at Shell, said he believes working with subject-matter experts is among the most important criteria for success in AI. People with in-depth knowledge of the subject matter provide the context and nuances that are hard for deep learning tools to tease apart on their own. But he said there are also big benefits to looking outside of one's field of experts.

Pandya was part of a panel of AI engineers and data scientists that I moderated at the Re.Work Applied AI Summit in San Francisco last month. The group, which also included IT leaders from Uber and supply chain vendor Fellow Robots, shared their experiences applying cutting-edge AI to solve business problems.

Here is a recap of the criteria for success in AI that came up in our discussion..."


This is the fifth and final installment of a five-part series on building an artificial general intelligence

"Special purpose artificial intelligence relies on people to structure the problem so that a machine can solve it with the tools available in the present paradigm - essentially curve fitting. This process of structuring the problems for machines means that people impose hidden assumptions on situations that may be difficult to articulate and are unlikely to be available to the machine without human help..."

Until recently, artificial intelligence was a thing for science fiction movies and books. However, we are now in the midst of an ever-changing tech world where we are advancing faster than ever before

"The future of AI is unknown, but that doesn't stop people from contemplating. Here are some of the best quotes about the future of AI..."

"Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks." - Stephen Hawking, Theoretical Physicist

"It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries." - Andrew Ng,

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