One of the biggest trending subjects in the past couple years has been artificial intelligence. We have read & learned about how Google DeepMind beat the world best player at Go, which is thought of as the most complex game humans have created; witnessed how IBM’s Watson beat humans in a debate; and taken part in a wide-ranging discussion of how ARTIFICIAL INTELLIGENCE applications will replace most of today’s human jobs in the years ahead.
Few years ago, industry identified ARTIFICIAL INTELLIGENCE as one of 20 exponential technologies that would increasingly drive economic growth for decades to come. Early rule-based ARTIFICIAL INTELLIGENCE applications were used by financial institutions for loan applications, but once the exponential growth of processing power reached an ARTIFICIAL INTELLIGENCE tipping point, and we all started using the Internet and social media, ARTIFICIAL INTELLIGENCE had enough power and data (the fuel of ARTIFICIAL INTELLIGENCE) to enable smartphones, chatbots, autonomous vehicles and far more.
As expert advised the leadership of many leading companies, governments and institutions around the world, and they have found that they all have different definitions of and understandings about ARTIFICIAL INTELLIGENCE, machine learning and other related topics. If we don’t have common definitions for and understanding of what we are talking about, it’s likely we will create an increasing number of problems going forward. With that in mind, they will try to add some clarity to this complex subject.
Artificial intelligence applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, decision trees and machine learning to recognize patterns from vast amounts of data, provide insights, predict outcomes and make complex decisions. ARTIFICIAL INTELLIGENCE can be applied to pattern recognition, object classification, language translation, data translation, logistical modeling and predictive modeling, to name a few. It’s important to understand that all ARTIFICIAL INTELLIGENCE relies on vast amounts of quality data and advanced analytics technology. The quality of the data used will determine the reliability of the ARTIFICIAL INTELLIGENCE output.
Machine learning is a subset of ARTIFICIAL INTELLIGENCE that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa, Apple’s Siri, or any of the others from companies like Google and Microsoft all get better every year thanks to all of the use they give them and the machine learning that takes place in the background.
Deep learning is a subset of machine learning that uses advanced algorithms to enable an ARTIFICIAL INTELLIGENCE system to train itself to perform tasks by exposing multi-layered neural networks to vast amounts of data, then using what has been learned to recognize new patterns contained in the data. Learning can be Human Supervised Learning, Unsupervised Learning and/or Reinforcement Learning like Google used with DeepMind to learn how to beat humans at the complex game Go. Reinforcement learning will drive some of the biggest breakthroughs.
Autonomous computing uses advanced ARTIFICIAL INTELLIGENCE tools such as deep learning to enable systems to be self-governing and capable of acting according to situational data without human command. ARTIFICIAL INTELLIGENCE autonomy includes perception, high-speed analytics, machine-to-machine communications and movement. For example, autonomous vehicles use all of these in real time to successfully pilot a vehicle without a human driver.
Augmented thinking: Over the next five years and beyond, Artificial Intelligence. will become increasingly embedded at the chip level into objects, processes, products and services, and humans will augment their personal problem-solving and decision-making abilities with the insights Artificial Intelligence provides to get to a better answer faster.
Artificial Intelligence advances represent a Hard Trend that will happen and continue to unfold in the years ahead. The benefits of ARTIFICIAL INTELLIGENCE are too big to ignore and include:
- Increasing speed
- Increasing accuracy
- 24/7 functionality
- High economic benefit
- Ability to be applied to a large and growing number of tasks
- Ability to make invisible patterns and opportunities visible
Technology is not good or evil, it is how we as humans apply it. Since we can’t stop the increasing power of ARTIFICIAL INTELLIGENCE, they wanted to direct its future, putting it to the best possible use for humans. Yes, ARTIFICIAL INTELLIGENCE — like all technology — will take the place of many current jobs. But ARTIFICIAL INTELLIGENCE will also create many jobs if we are willing to learn new things. There is an old saying “You can’t teach an old dog new tricks.” With that said, it’s a good thing we aren’t dogs!