Last year’s proven theme centered around the designation of The Year of Intelligence; it was the advancement of IoT in the home and Machine Learning being a predictive tool in places like IBM.

This year’s focus revolved around IoT from a business perspective and how artificial intelligence is becoming a more prominent roles in industries such as manufacturing and maintenance and how this is affecting businesses and employees.

Let’s take a look at some of the breakthroughs in 2018.

5 Technology Breakthroughs of 2018

1. Artificial Intelligence Evolving Business Strategies 

AI brings enormous changes to business, reshaping entire industries with the power of advanced technologies and software. Companies are recognizing the importance of AI integration, however it is more seen with larger companies of around 100,000 employees.

A few industry examples include:

  • Healthcare – The ability for AI to predict heart attacks more accurately than doctors. “An 8-point checklist created by the American Heart Associate accurately detects patients heart risk by 72.8%.”
  • Manufacturing – 6 River Systems, an autonomous robot that works with their warehouse management system to put-away, pick, count, and replenish tasks 24/7.
  • Financial – JP Morgan Automation Software created its own cloud-computing software making “20,000 developers more productive.”

2. Blockchain Revealing New Opportunities in Different Industries  

The blockchain is a distributed database, a digital register of transactions and contracts. It stores an ever-growing list of ordered records, called blocks, each containing a timestamp and a link to the previous block. Affecting a variety of applications, blockchain has impressive prospects in the field of digital transactions which opened up new business in 2018.

3. Security & Privacy Trends with Machine Learning

Security breaching and vulnerability is a big threat especially with IoT devices being setup in large corporations, so machine learning took a front seat with a predictive approach to ensuring security. A new technology called Zero Knowledge Proof secures users’ privacy using mathematics.

4. Deep Learning Is Faster and Data Collection Better

Nowadays, deep learning faces the challenges of data collection and the complexity of the computations. Due to the last problem, a big part of the innovation in hardware is aimed at speeding up the deep learning experiments. According to Marc Edgar, a senior information scientist at GE Research, in the next 3–5 years, deep training will shorten the development time of software solutions from several months to several days. This will lead to better functional characteristics, increased productivity and reduced product costs.

5. Self-teaching AI Will Be More Confident Without the Human Data

From the first invention of artificial intelligence, the future in this field comes faster than we expect. Experts predicted that AI would be able to beat a human in Go game in 2027. But it happened 10 years earlier — in 2017. It took only 40 days for the algorithm AlphaGo Zero to become the best Go player for the whole history of mankind. It was teaching itself without the input of any human data and developed strategies impossible for human players.

Next year the race for the creation of a developed, self-taught artificial intelligence will only continue. We look forward to AI breakthrough in solving many human routines: decision-making, developing businesses and scientific models, recognition objects, emotions, and speeches, and remaking the customer experience. Also, we expect that AI will be able to cope with these tasks better, faster, and cheaper than people. And exactly the possibility of algorithms for self-learning brings us closer to the implementation of AI into many areas of human life.


2018 made numerous technological advancements and these are just the top innovations that are continuing into 2019 and becoming even more evolved. The exponential improvement of technology will give the Internet of Things the ability to not only increase every business industry but also everyday life.