Mastek Blog

Keith Morley

Keith Morley is a Senior Architect at Mastek. He has 35 years’ experience and has always been at the forefront of the potential of Intelligent Automation, developing an “RPA” toolkit before RPA was invented. He provides consultancy on architecture and services and works with clients to drive intelligent automation and hyperautomation.

Recent Posts

Intelligent Automation is a fast route to digital service enhancement

03-Aug-2020 05:00:00 / by Keith Morley posted in Healthcare, Public Sector, Machine Learning, UK Public Sector, AI, ethics

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Tackle legacy systems and processes with Intelligent Automation to improve central government services for employees, citizens and organisations.

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The unquestionable role of Intelligent Automation in healthcare

22-Jul-2020 05:00:00 / by Keith Morley posted in Healthcare, Public Sector, Machine Learning, UK Public Sector, AI, ethics

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Intelligent Automation is more than a technological advance; it creates new opportunities to help unlock the power of healthcare for patients and professionals

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Overcoming the 3 Main Challenges of Intelligent Automation

22-Jun-2020 08:00:00 / by Keith Morley posted in Agile, Public Sector, Machine Learning, UK Public Sector, AI, Innovation, Continous Delivery

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Delivering on the promises of Intelligent Automation can be overwhelming, especially if the hype is oversold and you’re not made aware of the potential blockers and challenges that could derail your ability to scale.

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Making RPA smarter with AI

19-Nov-2019 02:14:00 / by Keith Morley posted in Data Science, Intelligent Automation, data analysis, Cognitive RPA, Deep Learning

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To leverage the many opportunities offered by new digital technologies, enterprises are changing their approach and adopting an “automation-first” mindset. RPA is usually the first step on their automation journey, providing highly effective process automation, integration and increased productivity. However, it still relies on the “human touch” to interpret unstructured data, provide conversational understanding and decision-making. To move towards full automation, solutions need to be smarter.


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