The Future of Machine Learning
Since that time, technological advancements have grown exponentially as computational power has increased, and the complexity of patterns and predictions a machine could recognize became faster and easier to solve. Considering the amazing progress made in a relatively short time with this technology, there is no way to predict the innovations that will continue to develop in the not-so-distant future.
We’ve seen algorithms use machine-driven learning to power cars, identify features and characteristics, and even recognize and understand languages. The power that technology has these days is incredibly exciting, yet scary. Machines can look at very large data sets and use algorithms to classify and recognize features in a group of images, and even categorize them in order. You think a computer can’t recognize the difference between a pedestrian and a tree? Think again. It’s this type of advancement in machine learning that is delivering on the promise of driverless cars and revolutionizing the future of transportation.
In recent years, one of the biggest innovations we’ve seen is the unveiling of voice recognition software, like the personal virtual assistant (think Apple’s Siri, Microsoft’s Cortana, and Google Now). Virtual assistants’ ability to recognize questions and commands by responding in real-time made giant leaps in understanding human speech. Driven by tech conglomerates, it was the utilization of search algorithms to understand and respond to speech, that paved the way to the creation of hand-held virtual assistants. Even companies such as Amazon have been working on advancing machine learning and artificial intelligence with its voice-based smart assistant software, Alexa. It’s powerhouses like Amazon that have the edge with access to significantly large amounts of data on consumers.
Yet with all this abundance of consumer data and advancement in computer learning, what will emerge as machines continue to become deeply integrated into our everyday life? Here are some of our predictions.
- Every company will become a data company, utilizing machine learning to power their business at scale
- Transformations across industries such as transportation, agriculture, and healthcare, to increase efficiency and productivity
- Driverless cars and/or intelligence added to cars that work in parallel with drivers
- Automation and robotic engineering that will improve the quality and speed of available goods and services
- Changes in political philosophy, property laws, employment and other aspects of our society and economy
Google, Amazon, and other tech companies are not the only ones diving into machine learning expansion. Enter the era of artificial intelligence (AI), an industry whose market value is expected to exceed $5 billion by 2020. Actively used in web search systems and financial trading programs, predicting fraud and credit defaults, AI is expected to radically change the healthcare system, saving lives and healthcare costs. Researchers anticipate that AI will impact all decisions in the future, from healthcare procedures and operations, to education, and economic policies. Some even argue that that use of cognitive AI and robotics might soon overhaul our entire economy. However, this isn’t exactly a new concept. Robotics and automation have been around since the industrial revolution. Since then the industry has created thousands of jobs, particularly the manufacture and maintenance of robotics.
What does the future hold for us? Will machine learning be more beneficial than it is harmful? Will relying on sophisticated machines give humans more control over machine-driven solutions or will it create machine dependency and the demise of our entire civilization? It may be too early to tell, but we predict the beginnings of a new Golden Era.
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