A featured contribution from Leadership Perspectives: a curated forum reserved for leaders nominated by our subscribers and vetted by the Construction Tech Review Advisory Board.

Dell EMC
Paul Brook, Director, Data Analytics
Dell Customer Communication Digitally Transforming IT Infrastructures


What is Your View on the Ethical Aspects of AI?
I would say the purpose of an industrial revolution or any advanced automation strategy is to replace with technology what has become inefficient labour; this axiom has carried great significance since the very first industrial revolution. The spinning jenny invented by James Hargreaves during the industrial revolution has had a significant impact on the textile industry by replacing manual, unproductive labour. Likewise, AI and automation reduce costs, increase revenue, and optimise workflows; these processes cut down the repetitive and mundane tasks. If you crucially analyse artificial intelligence with the same idea, it does not necessarily eliminate workforces, but on the contrary, streamlines labour, making business processes much more effective in the current day and age.
AI and automation will most likely do away with mundane and repetitive tasks and help us plan strategic outcomes for a myriad of industry verticals. They have evolved into vital prerequisites of development, reducing costs and errors to bring about an improvement in quality. Along with automation comes the Internet of things, which utilises a multitude of sensors and standalone computational peripherals, coupled with data analytics and machine learning algorithms to form an ecosystem driven by automation.
Professionals in clinical and medical environments are always in a debate about the possible use of automation and AI within their labs and facilities
Adopting such strategies will enable organisations to effectively manage the already available abundance of data in order to overhaul operational workflows.
What Are Your Thoughts on the Usage of AI and Automation in a Clinical Set-up?
Professionals in clinical and medical environments are always in a debate about the possible use of automation and AI within their labs and facilities. The technology discussion often revolves around the amount of computing power needed for a machine to perform diagnosis, allowing industry leaders to decide whether such strategies should replace human beings as the ultimate decision makers. I believe, the position we are in right now, with all the modern technologies that organisations can leverage, is a very strong push towards automated information analytics that assists humans in making clear decisions in this medical landscape. Consider the example of highly regulated genomics sector within the healthcare sector, where automation has emerged as a catalyst for practitioners in technology-driven operations.
For years, doctors have been referring to books, meeting experts, or attending conferences to gain knowledge on the latest drugs and equipment prevailing in the medicinal sciences. With advanced automation and AI enabled services and solutions, physicians can now go through the collective opinions of thousands of doctors and leverage the benefits of training facilities situated all across the globe with the simple click of a button. The medical field is progressing, and it attributes this growth to modern technological set-ups.
What is Your Take on the Advancement of AI and How Would It Essentially Evolve in the Near Future?
Some of the vital factors responsible for the proliferation of automation powered by AI is the reduction of costs, operational overheads, and errors witnessed across multiple industries such as manufacturing, supply chain, and medical sciences. Such advancements have paved the way for machines to carry out tasks that have always suited machines well. Machines do not necessarily eliminate human labour, but rather, allow workforces to focus on more critical operations or on more ‘interesting work. Robotics in production /manufacturing plants is one of the primary examples for the utilisation of machines across production plants.
What advice would you offer the budding entrepreneurs and organisations that Specialise in AI?
I would advise the budding enthusiasts in this area to consider every aspect of AI and automation from an entrepreneurial perspective and implement these technologies in their system where possible. Most of all thing new things, think where something that has ‘always been that way’ might benefit from the new. This is what keeps the entrepreneurial spirit alive.
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