UPDATED MAY 2020 - This blog will appear monthly from now on. Today, all organizations depend on technological innovation in order to sustain their existence. Analysis of emerging technologies and identification of those technologies with the greatest potential is essential to being prepared for upcoming projects. The objective of this blog is to establish future oriented technology analysis and insights. This blog was established to provide program and project managers with information about these emerging technologies. These emerging technologies have far reaching repercussions for program and project managers. This blog will jump-start the learning process and allow program and project managers to become proactive.
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A brief introduction to Emerging Technologies
The erosion of conventional wisdom
WARNING: 2 Significant Cyber Threats
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| The relationship between the topics of machine learning (ML) and artificial intelligence (AI) is highly discussed as of late and for good reason. If you examine the research, whitepapers and articles, the applications space for these two emerging technology areas seem nearly limitless. Some applications seek to turn silicon into experts while other simply want to eliminate the common mistakes all of us make from time to time. Two years ago, technology analysts at Gartner published a piece titled, “How to build a business case for Artificial Intelligence.” If you are working on an AI or ML project, the article is well worth reading.
LINK: https://www.gartner.com/smarterwithgartner/how-to-build-a-business-case-for-artificial-intelligence/
Recently a rather innocent and quite interesting question was posed to a group of AI/ML practitioners. Or so I thought! Is ML just a subset of AI or is it a separate and distinct area of technology, all though related? A rather spirited debate ensued and no mutually agreed upon answer was reached. So, at this point since there are separate market research reports, we should probably follow their lead. A study conducted by multiple industry analysts concluded that the global artificial intelligence market has a projected compound annual growth rate of slightly over 35% to 46% from 2019 to 2025. That growth rate would create a global market worth over $390 billion USD by 2025 at the high-end. In a separate estimate, the global machine learning market was projected to have a CAGR between 30% and 43% from 2019 to 2025. That growth rate would create a ML global market worth around $126 billion USD by their 2025 time-estimate-box. Once again keeping with the common theme of emerging technologies, those are clearly a robust market growths resulting in a large amount of money.
The value of an intelligent system (IS=ML+AI) that learns on its own and can eliminate even a fraction of common errors would be significant. However, along with all the potential value there is a dark-side. There seems to be a growing amount of fear circling AI and ML. So call it the fear of the unknown around machine learning and artificial intelligence. In my recent PMI webinar on “Addressing the Tech Savvy Board” one slide covered: Protesters demonstrated against dangers in development of artificial intelligence and robots. They chanted ‘HUMANS are the FUTURE’ and had signs that said ‘the future is us – STOP ROBOTS!’ There have been reports of protests around the AI and ML subject matter. There are a number of concerns and risks about the growing capabilities of AI and ML as well as many other emerging technologies that we should all monitor and keep ourselves as professionals up-to-date!
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Posted on: April 08, 2020 11:51 AM
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