Sarah Burnett: How the COVID-19 Global Pandemic Will Propel Transformation

Sarah Burnett is an executive vice president and distinguished analyst at Everest Group, with global responsibility for the company’s Service Optimization Technologies (SOT) research program. Sarah and her team have produced some of the most in-depth reports and thought-provoking papers in the automation field, covering Artificial Intelligence (AI) technologies, Robotic Process Automation (RPA), and process mining, and shedding light on global service provider’s capabilities in these fields, best strategies for adoption, and best practices implementing business process automation.  

But Sarah doesn’t stop there. She’s also chair of BCSWomen, the women’s group of the British Chartered Institute for IT (BCS), and founder of AI Accelerator, a program of free AI events, seminars, and webcasts by experts, to encourage more women into the field of AI. One of Computer Weekly’s top 50 most influential people in the UK technology sector, Sarah is a regular speaker at client and industry events and webinars, and an active social media contributor (@SarahBurnett). 

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Topics: Robotic Process Automation, RPA, intelligent automation, Women In Tech, Women in RPA, Process Mining

Kryon Process Discovery™: What It Is and What It Isn’t (Clue, It Isn't Process Mining)

Maximizing ROI is what every company strives for. The Kryon Process Discovery™ tool helps enterprises meet that goal by overcoming one of the biggest obstacles to the successful use of Robotic Process Automation (RPA): identifying and choosing which tasks to automate.

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Topics: Robotic Process Automation, RPA, Process Discovery, Process Mining

Process Discovery vs. Process Mining: What’s the Difference?

What is the most efficient, reliable way to decide which work processes your company should automate?

It wasn’t that long ago that there really was only one way for companies to make these choices: through expensive, subjective decision-making processes that could involve many employees, take a long time, and suffer from bias and disagreement.

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Topics: Process Discovery, Process Mining

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