The pandemic has taught us the incredible power of exponentials. We’ve seen how a small development in a far-off place can set off a series of events which quickly disrupts everything about our lives. But it’s not only viruses that advance exponentially. In the coming years, a range of technologies will create the same sort explosive and transformative changes across industry, society, and government.
What is enabling this new revolution is computer technology’s exponentially increasing pace of advancement. Our smartphones now have greater computing power than yesterday's supercomputers. Every technology that is information-based is advancing on an exponential curve, including, AI, robotics, sensors, synthetic biology, 3D printing, and quantum computing — all becoming smaller, faster, and cheaper.
Advancing technologies can be deceptive because at first because as they advance on a linear scale things move very slowly. Then when the exponential curve trends upwards we are caught off guard and disappointment leads to amazement and fear. This is precisely what is happening with Artificial Intelligence, which as recently as a decade ago was considered a failed technology — after two “AI winters”.
Today, new “large language models” (llms) that power tools such as Chatgpt have surprised even their creators with their unexpected talents. They are about to make obsolete all of the data analytics tools that corporations use, from the tried and tested decisions support systems to the knowledge based and expert systems. This is because they can analyze billions of times more information far more effectively than anything before. Their impact will be akin to the introduction of electricity and everything that has already been electrified will also be “cognified.”
Vivek Wadhwa will explain in simple terms what these emerging technologies are, including:
What led artificial intelligence (A.I.), the stuff of science fiction, to failure in the ’90s, and the new methods of data analysis and the advent of the GPU that revived it.
Separating fact from fiction: the difference between today’s “narrow” or “weak” A.I. and tomorrow’s artificial general intelligence and superintelligence.
How A.I. can provide the cheap, reliable, industrial-grade digital smartness to transform decision-making in everything from stock trading, document review, and financial analysis to security, intelligence, fraud detection, and law enforcement.
Classes of machine-learning strategies — supervised, unsupervised, and reinforcement — and their application in business.
Cutting through the hype: the limits and practicalities of business A.I.
Regulatory and reputational concerns arising from A.I.’s opacity.
Attendees will learn of the incredible opportunities we now have to build new billion dollar businesses in trillion dollar industries.