Every year, it seems like technology is changing faster than ever. It’s tough to keep up with all of the trends in the tech world. Here at Top Tech Trends in 2018, we’re here to help! We write about the future of technology and how it will affect your life.
The Future is Now: Top Tech Trends in 2018
Every year, leading analysts and futurists predict what technology will be like in the coming 12 months. These predictions are not always precise, but they are surprisingly often accurate. Let’s take a look at what we can expect from the tech realm in 2018.
1. Deep Learning
Deep learning is a subset of machine learning which uses artificial neural networks to solve complex problems. For example, deep learning has been used to identify galaxies and stars in space, read mammograms for cancer detection, recommend music playlists on Spotify and Netflix, and much more.
In 2015, Google announced that their photo service had become so advanced it could now understand the content of an image without any human labeling or intervention. This type of deep learning is called unsupervised machine learning (UML). The next step is general AI and it may already be here (see point
The technology industry is a tough and challenging place to work. It moves very quickly and is often brutal. But the folks who make it there are some of the most innovative, creative, and hard working people in the world. And that’s what makes it so fun to work with them.
We often hear about all the problems with technology, but there are a lot of good things happening as well. Here are five tech trends that will shape 2018:
1) Big data and machine learning will be used for more than just advertising
2) Augmented reality will become more accessible
3) Blockchain will be used for more than cryptocurrencies
4) The industry will continue to move away from proprietary software
5) There will be more diversity in tech
When we think about technology, our minds often wander to the latest smartphone or social media app. We love shiny gadgets and gizmos, and we look at the world through that lens.
But technology is much broader than the products that excite consumers. It is the entire process of innovation that leads to those products, from research and development, to manufacturing and distribution. It’s also how we use all of this technology to improve our lives.
As a result, there are a number of trends in technology that are worth watching in 2018. Here are some of my favorites:
1) Virtual reality (VR) will become an important tool for businesses. VR has been slow to take hold with consumers because they haven’t yet seen a compelling need for it. But businesses have discovered many ways to use VR as an effective training tool, which means employee productivity can improve while costs go down. For example, UPS recently started using VR to train new drivers so they don’t have to spend time on real roads until they’re ready. As more companies adopt VR for training purposes, it will drive demand for headsets and content, which may lead to cheaper prices for consumers.
2) Drones will revolutionize delivery services. Amazon Prime Air is one example of how drones can
The most disruptive trends in technology are being driven by new entrants and smaller players, many of them startups. Today’s leaders need to continuously innovate to maintain their edge. We’ve identified the top 10 disruptive trends for 2018 that will transform our world.
1. AI & Machine Learning
Artificial intelligence is becoming mainstream, with more companies realizing the benefits of AI, from automation to predictive analytics. The AI market grows by 50% annually and is expected to reach $90 billion in 2020, according to MarTech Today. But some experts warn about the dangers of AI, such as job loss, privacy issues and a potential robot uprising.
2. Autonomous Vehicles
Self-driving vehicles are no longer science fiction or things we dreamt up while watching Minority Report. Elon Musk has already introduced a Tesla Model 3 with fully auto-pilot capabilities and hundreds of self-driving car projects are underway around the world. There are an estimated 2 million autonomous cars on the road already—and that number is expected to reach 20 million by 2020, according to Grand View Research.
Bitcoin continues to make headlines, but it’s just one part of a much larger trend around cryptocurrency and blockchain technology. Bitcoin has been volatile in
Artificial intelligence (AI) has been a hot topic in the tech world for decades. But over the past several years, advances in computing power, big data, and machine learning have taken AI to a new level. The result is AI that can do things like drive cars and translate languages with unprecedented accuracy.
Today, companies are experimenting with AI in almost every industry imaginable. Yet many business leaders still have questions about how AI will impact their organizations. In this report, we’ll explore how early adopters of AI see its potential to transform the workplace, how the automation of business processes will affect the workforce, and how companies are preparing for this future.
The world didn’t suddenly become more fascinating in the past couple of years. It always was. We’re just noticing because we now have tools that make the hidden visible.
Computers themselves were once a tool for making previously invisible processes visible. The same was true of spreadsheets, databases, and financial accounting. And now that we are able to measure things like website traffic and social networks, we are just beginning to see what is really happening.
But what would happen if we could measure everything? If every door had a sensor on it that knew when it opened and closed, for example, then you could tell what room people spend time in, who their friends are (just look for the people whose patterns of door openings overlap), when they tend to be at home or at work or on vacation (just look at their patterns over time), and so on.
As sensors get cheaper and more powerful, we’ll be able to understand more about the world around us than ever before. The key will be interpreting that data well.