OzziePaezResearch

This post focuses on sensing technologies indispensable to many #AI applications in fields like agriculture, medicine, and #epidemiology. Interconnected devices within the Internet-of-Things, #IoT, are poised to change practices by delivering more timely, accurate data than previously available. For example, epidemiologists currently rely on data sources with significant limitations, including (1) clinical case data tightly controlled by privacy laws and healthcare provider p

My last post discussed how #AI, #modeling, and #analytics complement each other and synergistically drive performance and decision-making. This one illustrates their interactions through epidemiology’s SIR (Susceptible, Infected, Recovered) model. The basic structure and equations are shown in the image along with a mathematical expression describing isolation strategies. All models are simplistic approximations, but they can help us better understand knowns and unknowns (opp

Western education is built on a narrower-deeper paradigm. As students enter Bachelors, Masters, and PhD programs, of necessity, they learn more and more about less and less. This costly and time-consuming model has served us well. Universities supplied the generations of highly trained specialists who founded and worked for companies that revolutionized modern life and the global economy. Artificial intelligence is challenging this model. College programs are struggling to gr

Advances in technology, particularly sensors, physiological models and artificial intelligence (AI) are poised to revolutionize fitness and health. They will also disrupt traditional healthcare, from doctors’ offices to emergency rooms. At stake will be the most intimate aspects of human existence: longevity, quality of life and independence. The nation is in desperate need of this emerging revolution because, if you run the numbers as we have, it’s evident that even the m

It’s impossible to miss the wild, record swings in the stock market. Scary things for investors accustomed to more sensible market behaviors. Expert commentators quickly pointed to traditional factors including higher interest rates, a potential slowdown of the world economy and trade tensions. These explanations haven’t been convincing, given that the U.S. economy is strong and that previous periods of instability didn’t lead to similar sustained, record-breaking volatili

Science fiction continues to undermine our general understanding of artificial intelligence. Even well-educated people frequently project human characteristics onto systems, software and algorithms devoid of human feelings, ethics and morals. Machine learning (ML), for example, is often framed as machines learning and making decisions like humans do. That’s a dangerous misconception. People use a variety of methods and strategies to make decisions ranging from formal empi

According to a recent survey, a majority of Fortune 500 CEOs see Artificial Intelligence (AI) as a big challenge[i]. Their feelings are spot on because smart technologies, including AI, are already disrupting markets, and rendering many competitive strategies and business models obsolete. Fortunately, emerging opportunities are staggering for those prepared to exploit them. AI and related technologies are projected to add $10-$15 trillion in GDP by 2030. So – Why are CEOs

One of my primary functions is helping our clients cope and thrive amid disruptive change. In this context, Artificial Intelligence (AI) is the latest hot topic in technology and business. Our conversations with business owners, executives and managers suggest that they are struggling to understand how to leverage AI technologies to improve their competitive position. They’ve also expressed concerns over threats from new and emerging competitors who may be better prepared

Automation is becoming more capable, reliable and less expensive to deploy. Autonomous and semi-autonomous systems are doing things that were science fiction a few generations ago. These include: intricate surgeries, flying airplanes, driving cars, cooking hamburgers, cleaning homes and running industrial operations. Smart systems analyze economic performance, stock markets, legal strategies and the data at the heart of theoretical physics. Technologists and economists have l

According to the Guardian, 39-year-old Bhavesh Patel was captured on camera sitting in the driver’s seat of his Tesla s60 as it travelled along the M1 motorway. The self-driving car did not cause an accident and arrived at its destination as expected. Mr. Patel admitted his actions in court. He received an 18-month suspension, had to attend a ten-day driving program and pay £1,800 in court costs. PC Kirk Caldicutt, a traffic policeman, described Patel’s behavior as “grossly i

Massachusetts Institute of Technology’s (MIT) decision to offer a short course on the business implications of the Internet-of-Things (IoT) reflects the growing importance of the IoT for corporations large and small. I've been studying it in detail for over three years, focusing on its potential impacts on business, government and other institutions. During this period, the IoT has been for most businesses a growing phenomenon hidden in plain sight. It remains largely misun