Detecting cancer might be AI’s most altruistic and convoluted challenge yet. Standard screening methods such as radiological imaging can miss signs of cancer, or return a false negative (as it does in 20-30% of cases). The process of scanning images is particularly in need of improvement, as doctors must often visually search for signs of cancer which can leave only the largest, most advanced tumors to be detected. Hereditary testing is another detection method that determines genetic predisposition to cancer, but this does not provide much detail and cannot reveal if a person has cancer now.
We’ve all heard tales of CEOs ‘who couldn’t let go’. Where blustery entrepreneurial characters summon up their insurmountable egos and do their business damage, mostly by failing to hand over the reins to specialist staff who can do it better. However, today’s interviewee, Charles Towers-Clark, founder and (un-traditional) CEO of IoT frontrunner brand, The Pod Group, is exactly the opposite of what I’ve just described. He made the decision to step down as CEO and let his staff run the company, a move that has led to 50-100% YoY growth and little to no staff turnover. Towers-Clark tells us why all business leaders should do the same if they want human talent to compete with the rising dominance of artificial intelligence, (AI).
These are pretty weird times so it perhaps feels less surprising than usual that a recent book recommends running a company where staff can help to set their own salaries, accounts are accessible to all, where there is no formal hierarchical management and where holidays are unlimited.
RPA is fast becoming a reliable way to trial automation without committing to a full-scale AI program. As the market grows, RPA is becoming a viable automation technology in its own right, and companies are beginning to demand more from vendors as they learn more about what is possible and competition intensifies. AI and related emerging technologies may well be spurring the fourth Industrial Revolution, but RPA is already proving itself in the field.
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